Explain the 5 sources of leader power Essay Example for Free

Explain the 5 sources of leader power Essay If the manufacturing company engages in sales or after-sales industries it pursues forward integration strategy. This strategy is implemented when the company wants to achieve higher economies of scale and larger market share. Forward integration strategy became very popular with increasing internet appearance. Many manufacturing companies have built their online stores and started selling their products directly to consumers, bypassing retailers. Forward integration strategy is effective when: Few quality distributors are available in the industry. Distributors or retailers have high profit margins. Distributors are very expensive, unreliable or unable to meet firm’s distribution needs. The industry is expected to grow significantly. There are benefits of stable production and distribution. The company has enough resources and capabilities to manage the new business. When the same manufacturing company starts making intermediate goods for itself or takes over its previous suppliers, it pursues backward integration strategy. Firms implement backward integration strategy in order to secure stable input of resources and become more efficient. Backward integration strategy is most beneficial when: Firm’s current suppliers are unreliable, expensive or cannot supply the required inputs. There are only few small suppliers but many competitors in the industry. The industry is expanding rapidly. The prices of inputs are unstable. Suppliers earn high profit margins. A company has necessary resources and capabilities to manage the new business. Advantages Advantages of VI: Lower costs due to eliminated market transaction costs Improved quality of supplies Critical resources can be acquired through VI Improved coordination in supply chain Greater market share Secured distribution channels Facilitates investment in specialized assets (site, physical-assets and human-assets) New competencies Disadvantages Disadvantages of VI: Higher costs if the company is incapable to manage new activities efficiently The ownership of supply and distribution channels may lead to lower quality products and reduced efficiency because of the lack of competition Increased bureaucracy and higher investments leads to reduced flexibility Higher potential for legal repercussion due to size (An organization may become a monopoly) New competencies may clash with old ones and lead to competitive disadvantage Alternatives to VI VI may not always be the best choice for an organization due to a lack of sufficient resources that are needed to venture into a new industry. Sometimes the alternatives to VI offer more benefits. The available choices differ in the amount of investments required and the integration level. For example, short-term contracts require little integration and much less investments than joint ventures.

Morphology Control in Gold Nanoparticle Synthesis

Morphology Control in Gold Nanoparticle Synthesis Hammed A. Salami Introduction One of the most significant current discussions in the field of nanotechnology is the development of novel nanomaterials. When materials are reduced from bulk to the nanometer-scale dimension, they begin to exhibit unusual physical and chemical properties [1, 2]. Recently, researchers have shown an increased interest in the elucidation of the structure-function relationship of these novel nanomaterials [3, 4]. The availability of imaging techniques with nanometer resolution, such as electron microscopy has not only helped in visualizing the individual nanoparticles, but also, it has facilitated an understanding of some of the emerging properties of noble metal nanoparticles such as spectroscopic enhancement and localized surface plasmon resonance (LSPR) [5, 6]. For noble-metal nanoparticles, these structure-function relationships have attracted significant research interests. This is because, unlike in bulk metal materials, the control of the chemical and physical properties of noble-metal nanoparticles is possible with a modification of their size and shape, and by varying the material composition [1, 6]. As a result of the unique roles played by size and shape in influencing the properties of noble-metal nanoparticles, researchers have continually focused on ways to reproducibly tailor these parameters in other to adapt the nanoparticles for optimal use in a wide range of applications, including biology[4], energy[7], sensing, spectroscopic enhancement[8-10] and catalysis [7, 11]. The size of nanoparticles influences their optical properties while the shape and crystallographic facets are the major factors that determine their catalytic and surface activities [12]. Nanoparticles with non-spherical structures are referred to as anisotropic nanoparticles. Examples include nanocubes, nanoprisms, nanorods, etc. [13]. They show pronounced shape-dependent properties and functionalities, therefore a great deal of research effort has been paid at developing synthetic strategies to get a high yield of anisotropic noble metal nanoparticles having uniform structures and controlled shape and size[5]. The deliberate control of shape has however proven to be the most challenging, despite being one of the useful parameters for optimizing the properties of noble metal nanoparticles. This is particularly more pronounced in gold nanoparticles synthesis [3, 14-16]. Of the many shapes of gold nanoparticles, gold nanorods have continued to attract the most attention [2]. This is largely due to the large number of synthetic methods available, the possibility of high monodispersity and the control over the aspect ratio, which accounts for the change in their optical properties [17]. When molecules are adsorbed on the surface of gold nanoparticles, they undergo surface-enhanced Raman scattering (SERS) effects. This is due to the coupling effect of the plasmon band of the irradiated metal with the molecules electronic states [18, 19]. For gold nanorods, two Plasmon bands are prominent. They are the longitudinal plasmon band and the transverse plasmon band. These bands correspond to light absorption and scattering along the long and short axis of the particle respectively [20-22]. While the longitudinal surface plasmon resonance increases with larger aspect ratios (length/diameter), the transverse surface plasmon resonance is usually on the same wavel ength as that of nanospheres, with no dependence on the aspect ratio[23]. The current high dependence on non-renewable feedstocks can be minimized with the production of fine chemicals, petrol-derived commodities and polymer precursors from biomass[24]. Supported gold nanoparticles have been found to be very active catalysts for a number of biomass transformation and many researchers have focused their attention in searching for the best supports, reaction conditions and mechanistic studies to improve their selectivity[25, 26]. Most catalytic studies in literature involving noble metal nanoparticles, either as mono- or bimetallic catalyst, are done with spherical nanoparticles [25-27]. The spherical nanoparticles used are usually immobilized onto suitable supports to form impregnated catalysts and in some cases they are preformed before immobilization [27]. To achieve this, methods such as wet impregnation, sol immobilization etc. are often used [28, 29]. These methods however, do not allow the control of morphology of the nanoparticles. There is therefore the need to develop an understanding of morphology control in the synthesis of anisotropic noble metal nanoparticles with high yield. It would also be interesting to explore the correlation between these controlled morphologies and catalytic activities. Project Aims This project will therefore aim at synthesising various morphologies of mono and bimetallic noble metal nanoparticles, with optimum control of the morphology during the synthesis. Starting with gold, we will also explore the use of colloidal methods in immobilizing the preformed nanoparticles with selected morphologies and narrow particle size distribution e.g. gold nanorods, onto suitable supports to form heterogeneous catalysts. Since the rods expose certain crystallographic planes more than most other morphologies and also have comparatively low coordination sites, they can be potentially more selective for reactions that preferably occur on low coordination sites. As a starting point we will therefore, explore their use as supported heterogeneous catalysts in selective oxidation and hydrogenation reactions for biomass transformation. References [1]M.-C. Daniel, D. Astruc, Chemical reviews 2004, 104, 293-346. [2]J. Pà ©rez-Juste, I. Pastoriza-Santos, L. M. Liz-Marzà ¡n, P. Mulvaney, Coordination Chemistry Reviews 2005, 249, 1870-1901. [3]M. L. Personick, C. A. Mirkin, Journal of the American Chemical Society 2013, 135, 18238-18247. [4]X. Ma, M.-C. Wang, J. Feng, X. Zhao, Acta Materialia 2015, 85, 322-330. [5]C. J. Murphy, T. K. Sau, A. M. Gole, C. J. Orendorff, J. Gao, L. Gou, S. E. Hunyadi, T. Li, The Journal of Physical Chemistry B 2005, 109, 13857-13870. [6]L. T. Lanh, T. T. Hoa, N. D. Cuong, D. Q. Khieu, D. T. Quang, N. Van Duy, N. D. Hoa, N. Van Hieu, Journal of Alloys and Compounds 2015, 635, 265-271. [7]G. A. Somorjai, H. Frei, J. Y. Park, Journal of the American Chemical Society 2009, 131, 16589-16605. [8]J. E. Millstone, S. J. Hurst, G. S. Mà ©traux, J. I. Cutler, C. A. Mirkin, Small 2009, 5, 646-664. [9]M. R. Jones, K. D. Osberg, R. J. Macfarlane, M. R. Langille, C. A. Mirkin, Chemical reviews 2011, 111, 3736-3827. [10]A. R. Tao, S. Habas, P. Yang, small 2008, 4, 310-325. [11]N. Tian, Z.-Y. Zhou, S.-G. Sun, Y. Ding, Z. L. Wang, science 2007, 316, 732-735. [12]K. L. Kelly, E. Coronado, L. L. Zhao, G. C. Schatz, The Journal of Physical Chemistry B 2003, 107, 668-677. [13]M. Treguer-Delapierre, J. Majimel, S. Mornet, E. Duguet, S. Ravaine, Gold Bulletin 2008, 41, 195-207. [14]S. Koeppl, N. Ghielmetti, W. Caseri, R. Spolenak, J Nanopart Res 2013, 15, 1-11. [15]S.-S. Chang, C.-W. Shih, C.-D. Chen, W.-C. Lai, C. R. C. Wang, Langmuir 1999, 15, 701-709. [16]X. Ma, M.-C. Wang, J. Feng, X. Zhao, Journal of Alloys and Compounds 2015, 637, 36-43. [17]C. Burda, X. Chen, R. Narayanan, M. A. El-Sayed, Chemical reviews 2005, 105, 1025-1102. [18]R. L. Garrell, Analytical Chemistry 1989, 61, 401A-411A. [19]A. Campion, P. Kambhampati, Chem. Soc. Rev. 1998, 27, 241-250. [20]G. L. Hornyak, C. J. Patrissi, C. R. Martin, The Journal of Physical Chemistry B 1997, 101, 1548-1555. [21]K. L. Kelly, E. Coronado, L. L. Zhao, G. C. Schatz, The Journal of Physical Chemistry B 2003, 107, 668-677. [22]I. O. Sosa, C. Noguez, R. G. Barrera, The Journal of Physical Chemistry B 2003, 107, 6269-6275. [23]S. Eustis, M. A. El-Sayed, Chemical society reviews 2006, 35, 209-217. [24]G. Budroni, A. Corma, Journal of Catalysis 2008, 257, 403-408. [25]M. Boronat, 2013, 25, 50-76. [26]O. Casanova, S. Iborra, A. Corma, ChemSusChem 2009, 2, 1138-1144. [27]S. Albonetti, T. Pasini, A. Lolli, M. Blosi, M. Piccinini, N. Dimitratos, J. A. Lopez-Sanchez, D. J. Morgan, A. F. Carley, G. J. Hutchings, F. Cavani, Catalysis Today 2012, 195, 120-126. [28]L.-S. Zhong, J.-S. Hu, Z.-M. Cui, L.-J. Wan, W.-G. Song, Chemistry of Materials 2007, 19, 4557-4562. [29]S. E. Davis, B. N. Zope, R. J. Davis, Green Chemistry 2012, 14, 143-147. 1

Harper Lees To Kill a Mockingbird Essay -- Kill Mockingbird Harper Le

Harper Lee's To Kill a Mockingbird Courage is the quality of mind that enables one to face danger with confidence, resolution, and gain a firm control of oneself. Many of the characters in To Kill a Mockingbird showed courage in their own way. Courage can come in many different forms: physical, mental, emotional and moral. Courage is not the only main theme displayed in To Kill a Mockingbird; prejudice and education are also very important themes exhibited throughout the progression of the novel. Through the eyes of Scout Finch, a bright, sensitive and intelligent little girl, these themes of the novel are explored in great depth. The many forms of courage are shown throughout the novel by the characters of Jem, Boo (Arthur), Mrs. Dubose, and Atticus. Jem showed one of the greatest acts of physical courage as he protected his little sister Scout from the attack of Bob Ewell on the night of Halloween. Boo was also very courageous, he lived many years without human contact. That is a lonely thing to do, and it took mental courage for him to try and reach out to Jem and Scout when his father kept him imprisoned. Emotional courage is shown through Mrs. Dubose; she was a morphine addict and it took great courage for her to quit before her death to  ¡Ã‚ °die beholden to nothing and nobody ¡Ã‚ ±. Atticus is one of the most courageous characters in the novel. He showed moral courage when he defended a black man who was falsely charged with the rape of a white woman. He stood up for ...

Does The Void Exist Essay -- essays research papers

Does the void exist? One of the main controversies in Pre-socratic philosophy is the dispute of the existence or non-existence of the void. Two groups of philosophers argue this idea. The first group, namely Parmenides, argues that the void does not exist. This is the opinion of the Monist philosophers. The other group is the atomists who argue this thesis and believe there is a void. This group is primarily represented by the philosophers, Democritus and Leucippus. Parmenides argues against the existence of the void. The plenum fragment states his opinion quite clearly: "Nor is it divisible, since it is all alike; nor is there more here and less there, which would prevent it from holding together, but it is full of what is. So it is all continuous, for what is clings close to what is." This shows the idea, that if there would be a void or an empty space then "what is" would move into it. Hence, there is no void. Because "what is" fills up this space completely. "Since it is all alike" volume or density is continuous everywhere. Since it is not divisible there is no void between "what is". Also "what is" itself has no void in it. If there were void or space in one object, compared to a more denser object these particles would not "...

Riordan Manufacturing MRP Evaluation Project Essay -- Information Syst

Overview Scope of the Project Riordan Manufacturing can continue to expand by reducing the inventory cost of raw materials and finished goods. Riordan currently has a legacy MRP Information System (IS) in place, and this project provides an excellent opportunity to upgrade the infrastructure to allow for a more cost-efficient way to track inventory. Goals of the Project Riordan would like to develop or acquire an MRP system that will track and manage raw materials and finished product inventory across all plants to help ensure reduced inventory costs throughout the entire company. Business Objectives The exploratory committee has identified the following as the Business Objectives for this project: • Accurately track and manage raw materials and finished goods • Reduce inventory cost of raw materials and finished goods • Improve MRP infrastructure Measures of Success The following tasks will be performed to measure the success of the project at six (6) months and one (1) year: • An inventory analysis validating the accuracy of tracked inventory • A cost analysis comparing the cost of inventory management to previous reports • Hire an IS analysis firm to analyze the new Riordan MRP system's efficiency Statement of Scope, Objectives, and Constraints Current Needs Riordan Manufacturing needs to reduce the inventory cost of raw materials and finished goods. To reduce these costs, Riordan would like to develop or acquire an MRP system that can accurately track and manage raw materials and finished product inventory across all plants. Objective I am investigating the feasibility of developing or acquiring an MRP/MRPII information system to ensure that Riordan can accurately track and manage raw materials and ... ...w for better tracking of goods, which prevents lost materials. This, in turn, will allow Riordan to reduce the cost of inventory and allow us to gain sales with lower customer prices. The third objective is to improve the MRP infrastructure. Removing the legacy equipment and slow data lines will allow much more inventory to be processed. This will increase productivity throughout all of the plants. Conclusion Riordan Manufacturing will more than recover the expenditures of this IT project within two years of the upgrade. Riordan will experience an increase in sales and a decrease in inventory loss due to accurate and low-cost inventory management. On-going costs will be minimized with an internal IT department handling support and maintenance of the new system. All of the project's objectives have been met, and Riordan's expectations have been fulfilled.

Proposal Online Banking

There has been a fundamental shift in the use of banking delivery channels toward self-service channels such the Internet [Hernandez-Ortega, 2007]. Internet banking, which was introduced in the early 1990s [Srivastava, 2007], makes it possible to replace the manual service functions provided by bank employees, along with the brick and mortar investment required of financial institutions [Dandapani, et al. , 2008]. It represents an electronic marketplace where consumers may conduct their financial transactions virtually [Reiser, 1997; Daniel, 1999].Today, financial service institutions that offer their services over the Internet are keen to accelerate the adoption process, knowing that the cost of delivering the service over the Internet is much less than delivering the same service over-the-counter [Polatoglu and Ekin, 2001]. In addition, Internet banking is an important innovation that presents institutions a vital distribution channel, which could act as a means of attaining compet itive advantage through cost reduction and better satisfaction of customer needs [Carrington, et al.  , 1997; Kassim and Abdulla, 2006; Mols, 1999].In response to the increased competition, banks in Malaysia are starting to leverage the Internet as a means to provide financial services. An empirical study by Sulaiman, et al. [2005] suggests that the adopters' perceptions of e-banking in developing countries appear to be very favorable. In Malaysia, however, despite the authorities? encouragement to the public to adopt Internet banking, traditional branch-based retail banking remains the most common method for conducting banking transactions.For example, Sivanand, et al.  [2004] found that, although more than 80% of their respondents were aware of Internet banking, less than 10% were currently using the services. With regard to information technology adoption, previous studies have suggested that the set of beliefs that influences an individual to adopt the technology may not be the same as the set of beliefs that leads to his or her initial adoption [Venkatesh, et al. , 2003]. According to Kruglanski and Klar [1985], each time a particular goal of an individual is achieved by a specific behavior, the cognitive link  between the behavior and goal becomes stronger.The result is a cognitive goal-behavior link that creates an automatic response behavior (i. e. , habit). This may suggest that factors that are considered by an individual in the initial stage of adoption may be different from the factors that are considered by him or her after using the technology. Repurchasing intention is one of the important constructs being studied by researchers [Soderlund and Ohman, 2003].Zeithaml, et al.  [1996] suggest that repurchasing intention is associated with a service provider?s ability to get its customers to remain loyal (i. e. , repurchase from the company), spend more with the company, and pay price premiums. In online business, the founder of Amazon. com, Jeff Bezos, noted that one way to build a relationship with customers is by observing their purchase behavior over time [Porter, 1998]. In another aspect, previous literature has highlighted numerous barriers to the adoption of Internet banking.One local finding suggests that the adoption of Internet banking is not so encouraging in Malaysia mainly because of factors such as lack of Internet accessibility, poor awareness, and security concerns [Suganthi, et al. , 2001]. Although there is sufficient evidence that the electronic revolution has commenced in Malaysia, Internet banking research, however, is still in its infancy, particularly with regard to the predictors of intention among current users to continue using the services.This study was undertaken, therefore, to better understand the predictors that may influence current Internet banking users to continue using these services. This paper attempts to determine predictors that may influence the current users of Internet banking to continue using the services. Based on the literature reviewed, we strongly believe that trust, compatibility, and ease of use are key predictors of their intention to continue using Internet banking services. The current users of Internet banking services in Klang Valley, Malaysia, were chosen as the population of this study.1.1 Research Question The objective of this study attempts to answer the following research question: Whether Internet banking services in Klang Valley Malaysia is accepted the Internet banking services for the country growth. Whether Internet banking services could improve the performance in Klang Valley in  Malaysia?1. 2 Problem Statement The explosion of internet usage and the huge funding initiatives in electronic banking have drawn the attention of researchers towards internet banking. (Yi-Shun Wang, Yu-Min Wang, Hsin-Hui Lin, Tzung-I Tang, (2003)) Point out the need for research to identify the factor that determine acceptance of internet banking by the user.  (Yi-Shun Wang, Yu-Min Wang, Hsin-Hui Lin, Tzung-I Tang, (2003))This study focuses on the adoption of Internet banking services by corporate customers in Malaysia and aims to gain a deeper understanding of the factors influencing the adoption of Internet banking services by Malaysian, particularly in Klang Valley customers. (Syed Shah Alam, Rosidah Musa, Faridah Hassan, (2009))1.3 Objective of the StudyThe objective of this project is to study effect of Internet banking services in Klang valley Malaysia on determinant of user acceptance of internet banking. Based on this goal, I have come up with sub-objectives to find out the determinants. The main objective why this study is being undertaken is to analyze whether the internet banking is accepted by people at Klang Valley in Malaysia. To determine that people in Klang Valley can adobe and can used it to improve their bank performance in the future.1.4 Significant of the StudyThis information is at least be able to provi de knowledge to researcher and me as well whether there is effect of financial risk management on financial sector performance in Malaysia and also how far the correlation between it.1.4.2 Investor This knowledge can be used by investor about the impact of financial risk management on financial sector in Malaysia when they need to make a certain decision1.4.3 To Generate Further Research With this study and other thousands research, it would be best to generate more knowledge for the future. As done by past professors and researchers, which now are being updated and improved to adapt to new environment and modern civilization. Not all past research can be reliable in the future, that’s why it is important to continuously keep it updated.1.5 Scope of Study The scope of this study are consist of banks in Malaysia and will focus in major area which is in Klang Valley. These studies are based bank in Klang Valley Malaysia. The data is a primary data and will be gathered directly from customer at the area.CHAPTER TWO LITERATURE REVIEW2.0 Introduction Basically, in this chapter will briefly explain in detail regarding the previous researches that have been done on overall topics about the determinants of user acceptance of internet banking ; an empirical study Klang Valley in Malaysia. There are several arguments favors and against on this debating issues that had been discover through previous studies.2.1 Previous studiesLichtenstein and Williamson from Australian (2006)Used mass media theories through individual and focus group discussion to determine the decision of internet banking adoption. Findings showed that Australian older people with low income reported themselves were lack of awareness towards internet banking and its advantage, lack of internet lack of internet access and internet confidence, inadequate knowledge and support to use or initial setting up procedure, lack of trust, security and privacy risks were among the reasons of not using inter net banking services.Aktas and Topcu from Turkey (2010)Found that security and reliability were among the important factor that influences the adoption of internet banking. This followed by infrastructural competencies and user friendliness among respondents with accessibility to internet, aged 20 to 45, higher level of education and socioeconomic class. The study used Multi-criteria decision aid-based (MCDA-based).Suganthi and Balachandran from Malaysia (2001)Focused on the factors of accessibility, reluctance to changes, costs, trust in one’s bank, security concerns, convenience, ease of use through online survey that potentially influence internet banking adoption. The results revealed that there were positive significant relationships between accessibility, reluctance to changes and awareness with internet banking adoption.Chung and Payter from Malaysia (2002)Study the information, legal statement, order, ease of use, aesthetics effects, performance and others elements of bank that provide internet banking. The study found that a negative significant relationship between age and internet banking adoption among Klang Valley adopters. Monthly gross income and job position level had positive significant relationship with internet banking adoption among Klang Valley adopters. Further, there was no significant relationship between gender, marital status, ethnic group, level  of education with internet banking adoption.Khalil and Pearson from Malaysia (2007)Applied theory of diffusion of innovation (IDT) (Rogers, 1995) that focused on five key belief (relative advantage, compatibility, complexity, trial ability and obeservability) and trust (Mayers et al., 1995) to explore the intention to use internet banking among university students. The results of structural equation modeling showed that trust, relative advantage and trial ability significantly influence attitude. The attitude was play as moderator that influences intention to use technology that is internet banking.CHAPTER THREE DATA AND METHODOLOGY3.0 IntroductionThis chapter will focus on the method that will applied, where the procedures is clearly stated and defined. The data section clearly elaborate on the process of collecting data that needs to be obtained in order to perform the tests while the methodology section elaborates on the types of methods or tests that will be performed in order to determine the effective results.3.1 QuestionnaireData that used in this study is by using the number of 300 executive level peoples with a questionnaire investigation. This is based on the primary data that been collect and obtain by the executive level people in the area.3.2 Research Model and Hypotheses1. Perceived usefulness 2. Perceived ease of used 3. Perceived credibility3.3 Computer Self-EfficacyIn general, prior research has suggested a positive relationship between experience with computing technology and a variety of outcomes such as an affect towards computers and comp uter usage (Levin and Gordon, 1989; Harrison and Rainer, 1992; Agarwal and Prasad, 1999). A related construct, called computer self-efficacy, has been examined in the IS literature (e.g. Compeau and Higgins, 1995; Compeau et al., 1999; Hong et al., 2001). Computer self-efficacy is defined as the judgment of one’s ability to use a computer (Compeau and Higgins, 1995).3.4 Research Framework The research framework in this study provides a picture regarding the relationship between Computer Self-Efficiency, Perceived Usefulness, Perceived Ease of Use, and Perceived Credibility to Behavior Intention. The Computer Self- Efficacy is the main thing to develop to the three and becoming the Behavior Intention. The figure below will show the relationship of the variables.3.5 Research Model This section will briefly explain the research model and methodology related to this research on the determinant of user acceptance of internet banking : an imperial study Klang Valley in Malaysia. Th e research model will be used to find the relationship between the three factors and will achieved the objectives of this study.3.6 Method usedDescriptive statisticThe following definitions are vital in understanding descriptive statistics: C Variables are quantities or qualities that may assume any one of a set of values. Variables may be classified as nominal, ordinal, or interval. — Nominal variables use names, categories, or labels for qualitative values. Typical nominal variables include gender, ethnicity, job title, and so forth. — Ordinal variables, like nominal variables, are categorical variables. However, the order or rank of the categories is meaningful.For example, staff members may be asked to indicate their satisfaction with a training course on an ordinal scale ranging from â€Å"poor† to â€Å"excellent. † Such categories could be converted to a numerical scale for further analysis. — Interval variables are purely numeric variables. The nominal and ordinal variables noted above are discrete since they do not permit making statements about degree, e. g. , â€Å"Person A is three times more male than person B† or â€Å"Person A rated the course as five times more excellent than person B.†Interval variables are continuous, and the difference between values is both meaningful and allows statements about extent or degree. Income and age are interval variables. C Frequency distributions summarize and compress data by grouping them into classes and recording how many data points fall into each class. The frequency distribution is the foundation of descriptive statistics. It is a prerequisite for the various graphs used to display data and the basic statistics used to describe a data set, such as the mean, median, mode, variance, standard deviation, etc. (See the module on Frequency Distribution for more information.)C. Measures of Central Tendency indicate the middle and commonly occurring points in a d ata set. The three main measures of central tendency are discussed below. — Mean is the average, the most common measure of central tendency. The mean of a population is designated by the Greek letter mu (F). The mean of a sample is designated by the symbol x-bar (0). The mean may not always be the best measure of central tendency, especially if data are skewed. For example, average income is often misleading since those few individuals with extremely high incomes may raise the overall average.  Ã¢â‚¬â€ Median is the value in the middle of the data set when the measurements are arranged in order of magnitude.For example, if 11 individuals were weighed and their weights arranged in ascending or descending order, the sixth value is the median since five values fall both above and below the sixth value. Median family income is often used in statistics because this value represents the exact middle of the data better than the mean. Fifty percent of families would have incomes above or below the median. — Mode is the value occurring most often in the data.If the largest group of people in a sample measuring age were 25 years old, then 25 would be the mode. The mode is the least commonly used measure of central tendency, particularly in large data sets. However, the mode is still important for describing a data set, especially when more than one value occurs frequently. In this instance, the data would be described as bimodal or multimodal, depending on whether two or more values occur frequently in the data set. C Measures of Dispersion indicate how spread out the data are around the mean. Measures of dispersion are especially helpful when data are normally distributed, i.  e. closely resemble the bell curve.The most common measures of dispersion follow. — Variance is expressed as the sum of the squares of the differences between each observation and the mean, which quantity is then divided by the sample size. For populations, it is design ated by the square of the Greek letter sigma (F2 ). For samples, it is designated by the square of the letter s (s2). Since this is a quadratic expression, i. e. a number raised to the second power, variance is the second moment of statistics. Variance is used less frequently than standard deviation as a measure of dispersion.Variance can be used when we want to quickly compare the variability of two or more sets of interval data. In general, the higher the variance, the more spread out the data. — Standard deviation is expressed as the positive square root of the variance, i. e. F for populations and s for samples. It is the average difference between observed values and the mean. The standard deviation is used when expressing dispersion in the same units as the original measurements. It is used more commonly than the variance in expressing the degree to which data are spread out.Pearson product-moment correlation coefficientDefinition Pearson's correlation coefficient betwe en two variables is defined as the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a â€Å"product moment†, that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name. For a populationPearson's correlation coefficient when applied to a population is commonly represented by the Greek letter Ï  (rho) and may be referred to as the population correlation coefficient or the population Pearson correlation coefficient. The formula for Ï  is:For a sample Pearson's correlation coefficient when applied to a sample is commonly represented by the letter r and may be referred to as the sample correlation coefficient or the sample Pearson correlation coefficient. We can obtain a formula for r by substituting estimates of the covariances and variances based on a sample into the formula above. That formula forr is:An equiv alent expression gives the correlation coefficient as the mean of the products of the standard scores. Based on a sample of paired data (Xi, Yi), the sample Pearson correlation coefficient is where are the standard score, sample mean, and sample standard deviation, respectively. Mathematical properties The absolute value of both the sample and population Pearson correlation coefficients are less than or equal to 1.Correlations equal to 1 or -1 correspond to data points lying exactly on a line (in the case of the sample correlation), or to a bivariate distribution entirely supported on a line (in the case of the population correlation). The Pearson correlation coefficient is symmetric: corr(X,Y) = corr(Y,X). A key mathematical property of the Pearson correlation coefficient is that it is invariant (up to a sign) to separate changes in location and scale in the two variables.That is, we may transform X to a + bX and transform Y to c + dY, where a, b, c, and d are constants, without ch anging the correlation coefficient (this fact holds for both the population and sample Pearson correlation coefficients). Note that more general linear transformations do change the correlation: see a later section for an application of this. The Pearson correlation can be expressed in terms of uncentered moments.Since ÃŽ ¼X = E(X), ÏÆ'X2 = E[(X − E(X))2] = E(X2) − E2(X) and likewise for Y, and since the correlation can also be written as Alternative formulae for the sample Pearson correlation coefficient are also available: The above formula suggests a convenient single-pass algorithm for calculating sample correlations, but, depending on the numbers involved, it can sometimes be numerically unstable.Linear regressionIn linear regression, the model specification is that the dependent variable, is a linear combination of the parameters (but need not be linear in the independent variables). For example, in simple linear regression for modeling data points there is one in dependent variable: , and two parameters, and : straight line: (In multiple linear regression, there are several independent variables or functions of independent variables. ) Adding a term in xi2 to the preceding regression gives: parabola:This is still linear regression; although the expression on the right hand side is quadratic in the independent variable , it is linear in the parameters , and In both cases, is an error term and the subscript indexes a particular observation. Given a random sample from the population, we estimate the population parameters and obtain the sample linear regression model: The residual, , is the difference between the value of the dependent variable predicted by the model, and the true value of the dependent variable . One method of estimation is ordinary least squares.This method obtains parameter estimates that minimize the sum of squared residuals, SSE,[17][18] also sometimes denoted RSS: Minimization of this function results in a set of normal eq uations, a set of simultaneous linear equations in the parameters, which are solved to yield the parameter estimators, . Illustration of linear regression on a data set. In the case of simple regression, the formulas for the least squares estimates are where is the mean (average) of the values and is the mean of the values. See simple linear regression for a derivation of these formulas and a numerical example.Under the assumption that the population error term has a constant variance, the estimate of that variance is given by: This is called the mean square error (MSE) of the regression. The standard errors of the parameter estimates are given by Under the further assumption that the population error term is normally distributed, the researcher can use these estimated standard errors to create confidence intervals and conduct hypothesis tests about the population parameters.General linear modelIn the more general multiple regression model, there are p independent variables:  wher e xij is the ith observation on the jth independent variable, and where the first independent variable takes the value 1 for all i (so is the regression intercept). The least squares parameter estimates are obtained from p normal equations. The residual can be written as The normal equations are In matrix notation, the normal equations are written as where the ij element of X is xij, the i element of the column vector Y is yi, and the j element of is . Thus  X is nÃâ€"p, Y is nÃâ€"1, and is pÃâ€"1. The solution is For a derivation, see linear least squares, and for a numerical example, see linear regression (example).3.7 HypothesisThe null hypothesis of the study is developed to cater for the pooling regression model. The null hypotheses are: 1. (A) H01: Computer self-efficacy will not have a positive effect on perceived usefulness of the Internet banking systems. H11: Computer self-efficacy will have a positive effect on perceived usefulness of the Internet banking systems. (B ) H01: Computer self-efficacy will not have a positive effect on perceived ease of use of the Internet banking systems.H11: Computer self-efficacy will have a positive effect on perceived ease of  use of the Internet banking systems. (C) H01: Computer self-efficacy will not have a negative effect on perceived credibility of the Internet banking systems. H11: Computer self-efficacy will have a negative effect on perceived credibility of the Internet banking systems. 2. H02: Perceived ease of use will not have a positive effect on perceived usefulness of the Internet banking systems. H12: Perceived ease of use will have a positive effect on perceived usefulness of the Internet banking systems.3. H03: Perceived ease of use will not have a positive effect on perceived credibility of the Internet banking systems. H13: Perceived ease of use will have a positive effect on perceived credibility of the Internet banking systems. 4. H04: Perceived ease of use will not have a positive effect on behavioral intention to use the Internet banking systems. H14: Perceived ease of use will have a positive effect on behavioral intention to use the Internet banking systems.3. 8 Expected OutcomeUsing the technology acceptance model as a theoretical framework, this study introduced â€Å"perceived credibility† as a new TAM factor to reflect the user’s security and privacy concerns in the acceptance of Internet banking, and examined the effect of computer self-efficacy on the intention to use Internet banking. Provide evidence of the significant effects of the individual difference variable (i. e. computer self-efficacy) on behavioral intention through perceived ease of use, perceived usefulness, and perceived credibility.

Alternative Fuels: The industrial gas turbine

Investigation of alternative fuels for industrial gas turbines Tamal Bhattacharjee, Paul Nihill, Cormac Bulfin, Ishank Arora Contents 1. Abstract4 2. Introduction4 3. Hydrogen5 3. 1Production5 3. 1. 1Steam Reforming of Hydrocarbons5 3. 1. 2Water Splitting5 3. 1. 3Gasification of Waste & Biomass to produce syngas6 3. 1. 4The process7 3. 1. 5Application to industrial gas turbines8 4. Methanol9 4. 1Abstract9 4. 2Introduction9 4. 3History10 4. 4Manufacturing Process10 4. 4. 1 Production of methanol from synthesis gas10 4. Industrial Process11 4. 5. 1STEP-1: Feed Production11 4. 5. 2STEP-2: Reforming11 4. 5. 3STEP-3: Methanol Synthesis12 4. 5. 4STEP-4: Methanol Purification12 4. 6How it works on a gas turbine12 4. 7Feasibility15 4. 8Advantages & Disadvantages16 4. 9Conclusion17 5. Power Alcohol17 5. 1Introduction17 5. 2Chemistry18 5. 3Production18 5. 3. 1Ethanol from sugar cane18 5. 3. 2Fermentation18 5. 3. 3Distillation19 5. 3. 4Fractional Distillation19 5. 4Air pollution21 5. 5Advantage s23 5. 6Disadvantages23 6. References24 1. AbstractThe industrial gas turbine is a key part of modern electricity generation. In 1998 15% of electric power was produced by gas turbines. Due to their efficiency, compactness, reliability and relatively low capital cost 81% of new electric power demand will be met by industrial gas turbines. Gas turbines must meet very strict NOx CO and CO2 regulations. (GL Juste 2006). As the popularity of gas turbines and combined heat and power generation plants increases research has turned to cheaper and more environmentally friendly fuels for gas turbines.Methane C2H4 is the main fossil fuel used in gas turbines today but with increased regulations on carbon emissions combined with the increasing cost of fossil fuels, research is turning to alternative fuels which may power gas turbines into the future. This literature review explores potential liquid and gas alternative fuels for industrial gas turbines along with some of the latest research in the area and some examples of the successful industrial applications. 2. IntroductionThe increasing cost of fossil fuels, the fact that they are a finite resource and the environmental effects of their combustion means that research into alternative fuels is one of the largest and most varied areas of scientific investigation in progress today. As with all scientific research, some will be successful and form the basis of future energy production and some will be either too inefficient or impractical to be implemented in industry. It is interesting to note that some of the methods which seemed impractical even 10 years ago are now being introduced owing to the increasing cost of fossil fuels.Fuels derived from biomass and gasification of sewage sludge and municipal waste and some methods of hydrogen fuel production appear to hold the most promise. â€Å"Different global energy scenario studies indicate that in India biomass may contribute much more: up to 30% of the energy supply b y 2100† (K. K. Gupta et al 2010) Gas turbines and combined heat and power (CHP) systems are at the forefront of future European strategies on energy production with current efficiencies for combined cycle facilities above 60%. â€Å"The main CHP targets are the reduction of the overall costs and the development of above 40 kW biomass-fired systems†¦..Gas turbines enjoy certain merits relative to steam turbines and diesel engines. They have high grade waste heat, lower weight per unit power, dual fuel capability, low maintenance cost, low vibration levels, low capital cost, compact size, short delivery time, high flexibility and reliability, fast starting time, lower manpower, and have better environmental performance. † (P. A. Pilavachi et al 2000) This project focuses on alternative fuels as applied to industrial gas turbines owing to their projected increase in popularity in the short to medium term at least. 3. Hydrogen 3. 1Production 3. 1. Steam Reforming of Hy drocarbons The bulk of hydrogen fuel production is currently via steam reforming of natural gas this process involves the reaction of natural gas or liquid hydrocarbons with high temperature steam to produce varying amounts of CO and H2. Steam reforming of hydrocarbons does not eliminate CO2 but it greatly reduces the amount which is discharged into the atmosphere. Steam reforming of hydrocarbons is an efficient way of reducing CO2 emissions. In addition to the H2 produced during gasification a low temperature gas shift reaction with the remaining carbon monoxide can produce further H2.The process of steam reforming natural gas along with the gas shift reaction are governed by the chemical equations below. (K. K. Gupta et al 2010) Steam Reforming: CH4 + H2O – CO + 3H2 ? H = +251 kJ/mol Gas Shift: CO + H2O – CO2 +H2 ? H= -42 kJ/mol (K. K. Gupta et al 2010) The release of CO2 can be completely eliminated in a large plant where the CO2 is captured and injected into an oil or gas reservoir. It is currently disputed between scientists whether or not the production of H2 in this way releases more CO2 than directly burning fossil fuels. 3. 1. 2Water SplittingThere is currently a lot of research concerning the splitting of water to produce H2. This method is yet to find industrial application as it takes a lot of energy to split water and the only sustainable method is the use of renewable technologies to provide the energy. The hydrogen is more likely to be used as a storage medium when the power generated by renewable technologies is not required. An example of this would be the storage of power from a wind turbine during the day. There is a lot of very interesting research into water-splitting with many methods being explored simultaneously.Thermo chemical water splitting using solar power is an interesting option. Direct thermal water splitting is impractical due to the energy requirements to heat the water to 25000K. But if the water is reacted with metal oxides and redox materials it can be achieved at a much lower temperature. The oxygen and hydrogen are released at different stages eliminating the need for separation. This process can be conducted in a cycle that produces H2 more efficiently from solar radiation. 3. 1. 3Gasification of Waste & Biomass to produce syngasA Practical Example of waste to energy conversion is the Pyromex waste to energy facility in Germany. The Pyromex system is currently being used successfully to gasify industrial waste in a purpose built plant in Munich Germany. Due to the fact there are no gaseous emissions from the system there is no need for the construction of smoke stacks and the system is considered separate to incineration by EU authorities. Emissions from the plant are in the form of solid sand like dry waste. The waste composition is tabulated below and shows how far below allowable limits the process is.The raw material in the process is otherwise unrecyclable waste products and the system can treat sewage sludge, plastics, fly ash from power plants and various other waste products. The system has the potential to be a major contributor to the Hydrogen Economy. The prototype plant working on a throughput of 25 ton/day had the potential to produce approximately 2150 kWh by a combined heat to electricity and syngas engine generator system. If used in combination with an industrial gas turbine there is no doubt that owing to the greater efficiency this power output could be improved.Fig. 1 – Exhaust gas emissions (Pyromex ®) 3. 1. 4The process The material to be gasified is introduced into the slowly turning reactor through a two stage tank system. With this setup an oxygen free environment can be ensured inside the reactor pipe, where the conversion of the organics to syngas takes place at over 1000 °C. The produced gas is then cleaned with a simple acid and an alkaline scrubber. Even though the temperatures within the reactor are far above 1000 °C, the surface remains cool enough to be touched by hand.The PYROMEX gasification is a closed circuit process and therefore no emissions are released into the environment. The process flow chart below gives a better understanding of the workings of the plant. This process can be easily scaled. And there are numerous plants completed and in the process of construction in Germany and the U. S. Fig. 2 – Gasification process of producing syngas from waste & biomass (Pyromex ®) 3. 1. 5Application to industrial gas turbines Once the hydrogen has been produced it can be mixed with carbon monoxide which can also be produced efficiently using solar power.This syngas can be used in an Industrial gas turbine with some modifications to the fuel nozzle system and careful control of the fuel air ratio to produce electricity. In the case of liquid fuel turbines the hydrogen can be converted to various hydrocarbons using the Fischer-Tropsch process. The use of hydrogen in a gas turbine is a r elatively new concept with the use of high hydrogen content syngas becoming an attractive area for research. Unfortunately the use of hydrogen rich gas in a conventional gas turbine involves some tweaks to the ystem. The natural gas lean-premixed combustors have to undergo some modifications if fed with hydrogen rich fuels due to the combined effect of hydrogen shorter auto-ignition delay and faster flame speed. (Paulo Gobbato et al 2010) One of the routes with the highest potential is the pre combustion route utilizing coal in an integrated gasification and combine cycle (IGCC). The challenge in utilizing hydrogen rich fuel is principally associated with its reduced auto-ignition delay time, which can be addressed in one of three approaches: 1.De-rating the engine – allowing the same mixing time by increasing the auto-ignition delay time through altering the characteristics of the vitiated air (i. e. the inlet temperature of the flow to the SEV). 2. Decreasing the reactivity of the fuel – i. e. by dilution with an inert gas. 3. Modifying the hardware – either to reduce the mixer residence time in line with the reduced auto ignition delay time or develop a concept which is less influenced by the reactivity of the fuel. (Nils Erland et al 2012) 4. Methanol 4. 1Abstract 5.When methanol is intended to be used as fuel for gas turbine, it is very important to enhance overall thermal efficiency of the gas turbine system, and to make it competitive with conventional oil or gas fuels. There are many ways to accomplish this. Combined cycle is not, however, a proper way, as this could also be applied to conventional fuel. Noting the unique characteristic of methanol, the steam reforming regenerative cycle was investigated by many institutions. In this scheme, wasted heat of the gas turbine exhaust gas is transferred to reformed gas.And it is recycled back to the gas turbine as a part of fuel, thus resulting in increased overall efficiency of the gas turbine. Thermal decomposition of methanol is also an endothermic reaction and may be applied to the regenerative cycle. In either case, however, only a part of the waste heat is recovered. Hence the hybrid system with combined cycle was proposed to achieve additional heat recovery. But this is a complex system. 4. 2Introduction 6. Methanol, also known as methyl alcohol, wood alcohol, wood naphtha or wood spirits, is a chemical with the formula CH3OH. . 8. Fig. 3 – Chemical formulation of Methanol 9. Methanol can be used as alternative fuel in gas turbine. Methanol is made from natural gas, coal, and biomass. This was one of the older alternative fuels. Like Ethanol, Methanol is very good for blending with gasoline to replace the harmful octane enhancers. The benefits of using Methanol are that it reduces emissions, which has a significant effect on bettering the environment. Methanol can easily be blended with gasoline. It also has a lower risk of flammability than normal g asoline.Another benefit of Methanol is that it is made from domestically renewable sources. Methanol can also be used to make the octane enhancer MTBE. Another huge possible benefit of Methanol is that it can be made into hydrogen. 10. 4. 3History 11. Methanol has been tested as a gas turbine fuel in the U. S. In 1974, a 12-hour test was conducted by Turbo Power and Marine in a 20 MW gas turbine at the Bayboro Station of Florida Power Corporation. The methanol was fired as a liquid. NOx emissions were 74% less than those from No. 2 Distillate, and CO emissions were comparable (Power 1979).In 1978 and 1979, EPRI and Southern California Edison Company sponsored a 523-hour test at SCE’s Ellwood Energy Support Facility, using one half of 52 4. 4Manufacturing Process 4. 4. 1 Production of methanol from synthesis gas 12. Carbon monoxide and hydrogen react over a catalyst to produce methanol. Today, the most widely used catalyst is a mixture of Cu (Copper), zinc oxide, and alumina f irst used by ICI in 1966. At 5–10 M Pa (50–100 atm) and 250  °C, it can catalyze the production of methanol from carbon monoxide and hydrogen with high selectivity (>99. 8%): 13. CO + 2 H2 > CH3OH†¦..It is worth noting that the production of synthesis gas from methane produces three moles of hydrogen gas for every mole of carbon monoxide, while the methanol synthesis consumes only two moles of hydrogen gas per mole of carbon monoxide. One way of dealing with the excess hydrogen is to inject carbon dioxide into the methanol synthesis reactor, where it, too, reacts to form methanol according to the equation: 14. CO2 + 3 H2 > CH3OH + H2O. 15. Some chemists believe that the certain catalysts synthesize methanol using CO2 as an intermediary, and consuming CO only indirectly. 6. CO2 + 3 H2 > CH3OH + H2O; where the H2O byproduct is recycled via the gas shift reaction: 17. CO + H2O > CO2 + H2, 18. This gives an overall reaction, which is the same as listed above. 19. CO + 2 H2 > CH3OH 4. 5Industrial Process Fig. 4 – Industrial process for creating Methanol 4. 5. 1STEP-1: Feed Production 20. The two main two feed stocks, natural gas and water, both require purification before use. Natural Gas contains low levels of sulphur compounds and undergo a desulphurization process to reduce, the sulphur levels of less than one part per million.Impurities in the water are reduced to undetectable or parts per billion levels before being converted to steam and added to the process. If not removed, these impurities can result in reduced heat efficiency and significant damages to major pieces of equipment. 4. 5. 2STEP-2: Reforming 21. It is the process which transforms the methane and the steam to intermediate reactants of hydrogen, carbon-dioxide and carbon monoxide. Carbon dioxide is also added to the feed gas stream at this stage to produce a mixture of components in the ideal ratio to efficiently produce methanol.This process is carried out in a Reform er furnace which is heated by burning natural gas as fuel. 22. Reaction: Reaction: 4. 5. 3STEP-3: Methanol Synthesis 23. After removing excess heat from the reformed gas it is compressed before being sent to the methanol production stage in the synthesis reactor. Here the reactants are converted to methanol and separated out as a crude product with a composition of methanol (68%) and water (31%). Traces of byproducts are also formed. Methanol conversion is at a rate of 5% per pass hence there is a continual recycling of the un- reacted gases in to the synthesis loop. 24.Reaction: 25. 4. 5. 4STEP-4: Methanol Purification 26. The 68% methanol solution is purified in two distinct steps in tall distillation columns called the topping column and refining column to yield a refined product with a purity of 99% methanol classified as Grade AA refined methanol. 27. The methanol process is tested at various stages and the finished product is stored in a large secured tank age area off the pla nt until such time that it is ready to be delivered to customers. 4. 6How it works on a gas turbine 28. Chemical reaction involved is: It reacts with water to form carbon di oxide (CO2) and hydrogen (H). 9. CH3OH + H2O = CO2 + 3H2 30. The reaction is endothermic and absorbs waste heat at about 300oC. The system performance was predicted using in house process simulator called CAPES and found thermal efficiency of approx. 50% (LHV) when turbine inlet temperature is 1,100oC and compression ratio is 14. The schematic diagram given below illustrates its function. 31. 32. Fig. 5 – Methanol fueled gas turbine process 33. 34. The performance of the gas turbine with steam reforming was recalculated using PRO/II. The same adiabatic efficiency of 87% for compressor and 90% for turbine were used.Similar value of overall thermal efficiency of approx. 50% was obtained as shown in Table-1. For reference, the performance of air heating system was also investigated. In this case, thermal eff iciency was in the same level as reforming but total heat transfer area is 1. 7 times of steam reforming case. Let’s explain model making of steam reformer by PRO/II. After defining stoichiometric data for steam reforming reaction, Gibbs reactor was used for equilibrium calculation at specified temperature. For combustor design, two combustion reactions were defined.Then two conversion reactors were connected in series and set the conversion parameter to 1. Both reactors are defined as adiabatic. 35. Heat exchangers having phase change were split into 10 to 20 zones and flow configurations were set to true counter flow. Minimum pinch points were set to 10 to 20 oC. Pressure drop of each exchangers were set to 0. 02-0. 01 atm and overall heat transfer coefficient were set to100kcal/h C. Flow Scheme| unit| Fig-1| Fig. -2| Waste Heat Recovery| | Air Heating & Methanol Evap. | Steam Reforming, Water Injection & Methanol Evap. Turbine Inlet Temperature| oC| 1,100| 1,100| Compressi on Ratio| -| 14| 14| Methanol Rate| kgmol/h| 0. 133| 0. 133| Stoichiometric Air Rate| kgmol/h| 1| 1| Air Rate| kgmol/h| 4. 150| 2. 600| Reforming Water Rate| kgmol/h| -| 0. 133| Total Water Rate| kgmol/h| -| 0. 720| Excess Air Mol Ratio| -| 4. 150| 2. 600| Water/Air Mol Ratio| -| 0. 000| 0. 277| Water/Methanol Mol Ratio| -| 0. 000| 5. 414| 1st Compressor Power| kW| -12. 472| -7. 814| 1st Turbine Power| kW| 24. 128| 19. 750| Water Injection Pump| kW| -| -0. 006| Net Shaft Power| kW| 11. 656| 11. 930| Power Output| kW| 11. 423| 11. 691|Methanol Heat of Combustion (HHV)| kW| 47. 149| 23. 574| Methanol HHV| kJ/mol| 638. 10| 638. 10| Overall Thermal Efficiency (HHV)| %| 48. 45| 49. 59| Compressor Adiabatic Efficiency| %| 87| 87| Turbine Adiabatic Efficiency| %| 90| 90| Generator Efficiency| %| 98| 98| Methanol Evaporator Area/Pinch Point| m2/oC| 0. 140/10| 0. 138/5| Methanol Reformer Area/Reaction Temp. | m2/oC| -| 0. 201/300| Air Heater Area/Pinch Point/Max. Temp. | m2/oC| 2. 972/10/525 | 0| Water Evaporator Area/Pinch Point| m2| -| 1. 452/10| Total Surface Area| m2| 3. 112| 1. 791| Exhaust Temperature| oC| 335. 3| 102. 5| Table 1 – Methanol Fuel Gas Turbine with Steam Reforming & Water Injection or Air Heating 4. 7Feasibility 36. MW, twin engine, gas turbine generator unit supplied by Turbo Power and Marine Systems, Inc. (Edison Co. 1981). The methanol was fired as a liquid. Some fuel system modifications were performed to permit the higher mass and volumetric flow of methanol to achieve base load output. Some elastomers in the fuel system were replaced with materials impervious to methanol attack. The tests showed: â€Å"Operations on methanol are as flexible as on natural gas or distillate fuel.The ability to start, stop, accelerate, decelerate, perform automatic synchronization, and respond to control signals is equal to operations on either natural gas or distillate fuel. Turbine performance on methanol is improved over other fuels due to higher mass f low and the lower combustion temperatures resulting from methanol operations. Oxides of nitrogen emissions on them ethanol-fueled turbine, without water injection, were approximately 80% of the emissions of the distillate-fueled turbine with water injection. There was a significant reduction in particulate emissions during methanol operation.An additional reduction in oxides of nitrogen emission was obtained during operations of the methanol-fueled turbine with water injection. No significant problems occurred during the test that could be attributed to methanol. The hot end inspection indicated cleaner components within the methanol-fueled turbine. † During 1984-1985, GE conducted methanol combustion tests of heavy-duty gas turbine combustors in a private study for Celanese Chemical Company, Inc. This work is unpublished. The tests were conducted at GE’s Gas Turbine. Development Laboratory in Schenectady, N . Y.Tests were performed with an MS6001B full-scale combustor representative of GE heavy-duty gas turbine combustors, and an MS7001 developmental dry low NOx combustor. Then ethanol was fired as a liquid, â€Å"dry† and also with water addition. A high-pressure centrifugal pump was used to supply the methanol to the combustor. The tests demonstrated that methanol fuel can be successfully burned in GE heavy-duty combustors without requiring major modifications to the combustor. NOx emissions were approximately 20% of those for the same combustor firing NO. 2 distillate at the same firing temperature.With water addition, NOx levels of 9 ppmv could be achieved. Liner metal temperatures, exit pattern factors, and dynamic pressures were not significantly affected by methanol combustion and met GE criteria for acceptable performance. The results are valid for 2000 F firing temperature machines (E-class). Additional work would be required to confirm performance with methanol fuel, elevated firing temperatures of the F series of machines. Vapor ized methanol will reduce NOx 5% to 10% (relative to CH4 emissions) whereas liquid methanol will reduce NOx 30% relative to CH4 emissions.Water content in the methanol provides further NOx reduction. In 1984, a field test demonstration was performed at the University of California at Davis (California Energy Commission 1986). Methanol was fired in a 3. 25 MW Allison 501-KB gas turbine for 1,036 hours. Low NOx emissions were observed and were further reduced by mixing water with the methanol. Problems encountered with the traditional gas turbine fuel pump were bypassed by using an off-board centrifugal pump. 4. 8Advantages & Disadvantages 37. Methanol is a liquefied form of methane, a naturally-occurring gaseous hydrocarbon produced by decomposition.Currently, methane is burned as a ‘waste† gas at oil drilling platforms, coal mining sites, landfills, and sewage treatment plants. The advantage is methane, and its derivative methanol is that it is extremely plentiful; drill ing for oil, mining coal, and the decomposition of organic matter all produce methane already. As a hydrocarbon similar to propane and petroleum, methane is a very powerful, explosive gas that can easily take the place of petroleum without marked decline in power or major retooling of existing technologies.The disadvantages of methanol is the process by which methane is converted into a liquid at normal temperatures; by mixing methane with natural gas and gasoline, methane is converted into methanol. But the need for gasoline does not entirely wean the United States off of oil, so its â€Å"alternative† status is questionable. Additionally, the process to capture, store, and convert methane is prohibitively expensive compared to gasoline. 38. 4. 9Conclusion 39. Methanol is considered a superior turbine fuel, with the promise of low emissions, excellent heat rate, and high power output.The gas turbine fuel system must be modified to accommodate the higher mass and volumetric f low of methanol (relative to natural gas or distillate). The low flash point of methanol necessitates explosion proofing. The low flash point also dictates that startup be performed with a secondary fuel such as distillate or natural gas. Testing to date has been with methanol as a liquid. GE is comfortable with methanol as a liquid or vapor. GE is prepared to make commercial offers for new or modified gas turbines utilizing methanol fuel in liquid or vapor form based on the earlier experience.Some combustion testing may be required for modern machines applying for very low NOx permits. 5. Power Alcohol 5. 1Introduction Power Alcohol is a mixture of petroleum and ethanol in different proportions and due to these proportions different names are given to each blend like:- 1. As a blend of 10 percent ethanol with 90 percent unleaded gasoline called â€Å"E-10 Unleaded†. 2. As a component of reformulated gasoline, both directly and/or as ethyl tertiary butyl ether (ETBE). 3. As a primary fuel with 85 parts of ethanol blended with 15 parts of unleaded gasoline called â€Å"E-85. (Rex Weber 2003) When mixed with unleaded gasoline, ethanol increases octane levels, decreases exhaust emissions, and extends the supply of gasoline. Ethanol in its liquid form, called ethyl alcohol, can be used as a fuel when blended with gasoline or in its original state. Well the production of ethanol fuel began way back in1907 but Ethanol use and production has increased considerably during the 1980s and 1990s not just due to the lack of fossil fuels but was also due to several other factors 1.Ethanol reduces the country’s dependence on imported oil, lowering the trade deficit and ensuring a dependable source of fuel should foreign supplies be interrupted. 2. Farmers see an increased demand for grain which helps to stabilize prices. 3. The quality of the environment improves. Carbon monoxide emissions are reduced, and lead and other carcinogens (cancer causing agents) are removed from gasoline. 5. 2Chemistry Glucose (a simple sugar) is created in the plant by  photosynthesis. 6 CO2  + 6 H2O + light > C6H12O6  + 6 O2 During  ethanol fermentation,  glucose  is decomposed into ethanol and  carbon dioxide.C6H12O6  > 2 C2H5OH+ 2 CO2  + heat During combustion ethanol reacts with  oxygen  to produce carbon dioxide,  water, and heat: C2H5OH + 3 O2  > 2 CO2  + 3 H2O + heat After doubling the combustion reaction because two molecules of ethanol are produced for each glucose molecule, and adding all three reactions together, there are equal numbers of each type of atom on each side of the equation, and the net reaction for the overall production and consumption of ethanol is just: Glucose itself is not the only substance in the plant that is fermented. The simple sugar  fructose  also undergoes fermentation.Three other compounds in the plant can be fermented after breaking them up by  hydrolysis  into the glucose or fructose molecules that compose them. Starch  and  cellulose  are molecules that are strings of glucose molecules, and sucrose  (ordinary table sugar) is a molecule of glucose bonded to a molecule of fructose. The energy to create fructose in the plant ultimately comes from the metabolism of glucose created by photosynthesis, and so sunlight also provides the energy generated by the fermentation of these other molecules. Ethanol may also be produced industrially from  ethene  (ethylene).Addition of water to the double bond converts ethene to ethanol: C2H4  + H2O > CH3CH2OH This is done in the presence of an acid which  catalyzes  the reaction, but is not consumed. The ethene is produced from petroleum by  steam cracking. 5. 3Production Ethanol can be produced by various methods but the most commonly used in today’s world is by the method of fermentation and distillation of sugarcane, grains, corn etc. 5. 3. 1Ethanol from sugar cane The first stage in ethanol produ ction is to grow a crop such as sugar cane. The sugar cane of cut down and undergoes fermentation and distillation. 5. 3. 2FermentationCrushed sugar cane in placed in fermentation tanks. Bacteria in the tanks acts on the sugar cane and in time produce a ‘crude’ form of ethanol. This is then passed on to the ‘distillation stills’ where it is refined to a pure form. 5. 3. 3Distillation The impure/crude ethanol is heated in a ‘still’ until it vaporizes and rises into the neck where it cools and condenses back to pure liquid ethanol. The impurities are left behind in the still. The ethanol trickles down the condensing tube into a barrel, ready for distribution. When burned it produces fewer pollutants than traditional fuels such as petrol and diesel.Fig. 6 – Distillation process of impure/crude ethanol The production of petroleum is done by the fractional distillation of crude oil. 5. 3. 4Fractional Distillation The various components of cru de oil have different sizes, weights and boiling temperatures; so, the first step is to separate these components. Because they have different boiling temperatures, they can be separated easily by a process called  fractional distillation. The steps of fractional distillation are as follows: 1. You  heat  the mixture of two or more substances (liquids) with different boiling points to a high temperature.Heating is usually done with high pressure steam to temperatures of about 1112 degrees Fahrenheit / 600 degrees Celsius. 2. The mixture  boils, forming vapor (gases); most substances go into the vapor phase. 3. The  vapor  enters the bottom of a long column (fractional distillation column) that is filled with trays or plates. The trays have many holes or bubble caps (like a loosened cap on a soda bottle) in them to allow the vapor to pass through. They increase the contact time between the vapor and the liquids in the column and  help to collect liquids that form at var ious heights in the column.There is a temperature difference across the column (hot at the bottom, cool at the top). 4. The  vapor rises  in the column. 5. As the vapor rises through the trays in the column, it  cools. 6. When a substance in the vapor reaches a height where the temperature of the column is equal to that substance's boiling point, it will  condense  to form a liquid. (The substance with the lowest boiling point will condense at the highest point in the column; substances with higher boiling points will condense lower in the column. ). 7.The trays  collect  the various liquid fractions. 8. The collected liquid fractions may  pass to condensers, which cool them further, and then go to storage tanks, or they may  go to other areas for further chemical processing Fractional distillation is useful for separating a mixture of substances with narrow differences in boiling points, and is the most important step in the refining process. The oil refining proc ess starts with a fractional distillation column. On the right, you can see several chemical processors that are described in the next section.Very few of the components come out of the fractional distillation column ready for market. Many of them must be chemically processed to make other fractions. For example, only 40% of distilled crude oil is gasoline; however, gasoline is one of the major products made by oil companies. Rather than continually distilling large quantities of crude oil, oil companies chemically process some other fractions from the distillation column to make gasoline; this processing increases the yield of gasoline from each barrel of crude oil.Fig. 7 – Fractional distillation of crude oil 5. 4Air pollution Compared with conventional  unleaded gasoline, ethanol is a particulate-free burning fuel source that combusts with oxygen to form carbon dioxide, water and  aldehydes. Gasoline produces 2. 44  CO2  equivalent  kg/l and ethanol 1. 94. Since ethanol contains 2/3 of the energy per volume as gasoline, ethanol produces 19% more CO2  than gasoline for the same energy. The  Clean Air Act  requires the addition of  oxygenates  to reduce carbon monoxide emissions in the United States.The additive  MTBE  is currently being phased out due to ground water contamination; hence ethanol becomes an attractive alternative additive. Annual Fuel Ethanol Production by Country (2007–2011)[2][64][65][66] Top 10 countries/regional blocks (Millions of U. S. liquid gallons per year)| World rank| Country/Region| 2011| 2010| 2009| 2008| 2007| 1|   United States| 13,900| 13,231| 10,938| 9,235| 6,485| 2|   Brazil| 5,573. 24| 6,921. 54| 6,577. 89| 6,472. 2| 5,019. 2| 3|   European Union| 1,199. 31| 1,176. 88| 1,039. 52| 733. 0| 570. 30| 4|   China| 554. 76| 541. 55| 541. 55| 501. 90| 486. 00| 5|   Thailand| | | 435. 20| 89. 80| 79. 20| 6|   Canada| 462. 3| 356. 63| 290. 59| 237. 70| 211. 30| 7|   India| | | 91. 6 7| 66. 00| 52. 80| 8|   Colombia| | | 83. 21| 79. 30| 74. 90| 9|   Australia| 87. 2| 66. 04| 56. 80| 26. 40| 26. 40| 10| Other| | | 247. 27| | | Table 2 – Annual fuel ethanol production by country Table 2 – Annual fuel ethanol production by country | World Total| 22,356. 09| 22,946. 87| 19,534. 993| 17,335. 20| 13,101. 7| 5. 5AdvantagesEthanol has a higher octane number (113) than regular unleaded gasoline (87) and premium unleaded gasoline (93). Complete combustion: Ethanol molecules contain 35 percent oxygen, and serve as an â€Å"oxygenate† to raise the oxygen content of gasoline fuel. Thus, it helps gasoline burn completely and reduces the buildup of gummy deposits. Prevent overheating: Ethanol burns cooler than gasoline. Fuel Type| Ethanol| Regular Gasoline| Premier Gasoline| E10 Gasohol| E85 Gasohol| Energy Content (/Gallons)| 84,600| 125,000| 131,200| 120,900| 90,660| Table 3 – Energy content of fuelsEnergy content: As shown in Table 2, fuel et hanol contains around 33 percent less energy content than regular gasoline. The energy content of gasohol blends (E10 or E85) is determined by the energy content of ethanol and gasoline, and their ratio. Emissions from ethanol are about 48% of diesel; it is lowest of any of the fuels. â€Å"The clean burning characteristics extend turbine life, possibly by as much as 100%. † (K. K. Gupta 2010) 5. 6Disadvantages Loss of power and performance – Pure ethanol is over 100+ octane, and provides the fuel with much of its octane rating.Because Ethanol burns at a lower temperature than the older (MTBE) gas, boaters can expect to see a 2 to 3 % drop in RPM. â€Å"Use of ethanol in the pure state or as a blend would probably require replacement of any white metal or aluminum in the system as well as some elastomers. † (K. K. Gupta 2010) 6. References Hydrogen Journal Papers G. L. Juste (2006) Hydrogen injection as additional fuel in gas turbine combustor. Evaluation of eff ects. International Journal of Hydrogen Energy 31 (2006) 2112 – 2121 K. K. Gupta a,*, A. Rehman b, R. M.Sarviya b, (2010) Bio-fuels for the gas turbine: A review. Renewable and Sustainable Energy Reviews 14 (2010) 2946–2955 P. A. Pilavachi (2000), Power generation with gas turbine systems and combined heat and power, Applied Thermal Engineering 20 (2000) 1421 ±1429 Paolo Gobbato*, Massimo Masi, Andrea Toffolo, Andrea Lazzaretto (2010) Numerical simulation of a hydrogen fuelled gas turbine combustor. International Journal of Hydrogen Energy 36 (2011) 7993- 8002 Nils Erland L. Haugena, Christian Brunhuberb and Marie Bysveena (2012) Hydrogen fuel supply system and re-heat gas turbine.Combustion Energy Procedia 23 ( 2012 ) 151 – 160 Website Pyromex ® Technology Description http://www. pyromex. com/index. php/en/pyromex-technology/technology-description Methanol & Power alcohol â€Å"A Special Report: Burning Tomorrow’s Fuels,† Power, S14-S15, Febru ary 1979. â€Å"Test and Evaluation of Methanol in a Gas Turbine System,† Southern California Edison Company, EPRI Report AP-1712, February 1981. â€Å"Methanol. Clean Coal Stationary Engine Demonstration Project. Executive Summary,† California Energy Commission, Report P500-86-004, February 1986. Methanol Power Generation – Demonstration Test Starts for a Power Source at Peak Demand† Japanese High-Technology Monitor, 5 April 1993. â€Å"Ethanol blended fuels† – Rex Weber 2003 of Northwest Iowa Community College in cooperation with the Iowa Corn Promotion Board. â€Å"Fuel Ethanol† – Zhiyou Wen, Extension Engineer, Biological System Engineering, Virginia Tech John Ignosh, Area Specialist, Northwest District, Virginia Cooperative Extension, Jactone Arogo, Extension Engineer, Biological System Engineering, Virginia Tech