A Statistical Analysis And Fuzzy Logic Approach In Assessing The Performance Of Wind Turbine In Ohio
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A Statistical Analysis And Fuzzy Logic Approach In Assessing The Performance Of Wind Turbine In Ohio
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Author : Suleiman Mikail
language : en
Publisher:
Release Date : 2010
A Statistical Analysis And Fuzzy Logic Approach In Assessing The Performance Of Wind Turbine In Ohio written by Suleiman Mikail and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Abstract: The global demand for petroleum products has caused the rise in their cost. In fact, the cost of petroleum products to generate electricity supply to meet the United States' energy demand is on a continuous rise. As a result, this rise in cost of petroleum products has challenged our nation to seek an alternative source of renewable energy generation. Wind energy generation is one of the fastest growing forms of electricity generation in the world today compared to other sources of renewable energy. According to the National Renewable Energy Laboratory, the United States currently generate more than 25,000 megawatts (MW) of electricity from the wind, which is enough to power electricity supply to almost 7 million homes, and experts in wind power development predict that, with proper development, wind energy could provide 20% of the nation's energy needs. To perform an assessment for a feasible wind energy project and wind turbine performance, an empirical analysis using statistical models was performed on wind speed data collected at a proposed site for wind energy development. Because of the variability in wind speed and wind turbine location, a subjective description of wind turbine location using a fuzzy logic approach was used to define the two variables, and quantify the different components and elements of the wind turbine performance and wind turbine location, and subsequently to evaluate the total wind farm development project performance using two forms of fuzzy member. Two software programs were developed using the concept of fuzzy logic, which transforms the linguistic expressions such as "Low", "Fairly Low", "Medium", "Fairly High" and "High", into mathematical representations. The two fuzzy logic models created were the "angular model" and the "triangular model", which were used to complement the statistical models in assessing the wind turbine location and turbine performance. The angular model and triangular model incorporate users' subjective preferences and choices based on the information available to them. This study advances the assessment of a wind energy development project by harnessing the available wind resource to help meet the nation's goal of providing 20% of the nation electricity demand 2030. If properly implemented, wind energy development would help reduce the consumption of 4 trillion gallons of water and reduce CO2 emissions, reduce total natural gas consumption by 11%, reduce electric utility coal consumption by 18%, reduce electric utility natural gas consumption by 50% and avoid construction of 80 GW of new coal power plants through year 2030.
Soft Computing Applications For Renewable Energy And Energy Efficiency
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Author : Cascales, Maria del Socorro García
language : en
Publisher: IGI Global
Release Date : 2014-10-31
Soft Computing Applications For Renewable Energy And Energy Efficiency written by Cascales, Maria del Socorro García and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-31 with Technology & Engineering categories.
As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.
Renewable And Alternative Energy Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-10-19
Renewable And Alternative Energy Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-19 with Technology & Engineering categories.
As the human population expands and natural resources become depleted, it becomes necessary to explore other sources for energy consumption and usage. Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of emerging perspectives and innovations for alternative energy sources. Highlighting relevant concepts on energy efficiency, current technologies, and ongoing industry trends, this is an ideal reference source for academics, practitioners, professionals, and upper-level students interested in the latest research on renewable energy.
Data Science For Wind Energy
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Author : Yu Ding
language : en
Publisher: CRC Press
Release Date : 2019-06-04
Data Science For Wind Energy written by Yu Ding and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-04 with Business & Economics categories.
Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights
Forecasting Of The Wind Speed Under Uncertainty
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Author : Muhammad Aslam
language : en
Publisher: Infinite Study
Release Date :
Forecasting Of The Wind Speed Under Uncertainty written by Muhammad Aslam and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
In this paper, the semi-average method under neutrosophic statistics is introduced. The trend regression line for the semi-average method is given in the presence of Neutrosophy in the data. The application of the semi-average method under indeterminacy is given with the help of wind speed data. The efficiency of the semi-average method under the neutrosophic statistics is discussed over the semi-average method under classical statistics. From the analysis, it is concluded that the proposed method is effective, informative, and flexible for the forecasting of wind speed.
Data Analytics Methods In Wind Turbine Design And Operations
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Author : Giwhyun Lee
language : en
Publisher:
Release Date : 2013
Data Analytics Methods In Wind Turbine Design And Operations written by Giwhyun Lee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
This dissertation develops sophisticated data analytic methods to analyze structural loads on, and power generation of, wind turbines. Wind turbines, which convert the kinetic energy in wind into electrical power, are operated within stochastic environments. To account for the influence of environmental factors, we employ a conditional approach by modeling the expectation or distribution of response of interest, be it the structural load or power output, conditional on a set of environmental factors. Because of the different nature associated with the two types of responses, our methods also come in different forms, conducted through two studies. The first study presents a Bayesian parametric model for the purpose of estimating the extreme load on a wind turbine. The extreme load is the highest stress level that the turbine structure would experience during its service lifetime. A wind turbine should be designed to resist such a high load to avoid catastrophic structural failures. To assess the extreme load, turbine structural responses are evaluated by conducting field measurement campaigns or performing aeroelastic simulation studies. In general, data obtained in either case are not sufficient to represent various loading responses under all possible weather conditions. An appropriate extrapolation is necessary to characterize the structural loads in a turbine's service life. This study devises a Bayesian spline method for this extrapolation purpose and applies the method to three sets of load response data to estimate the corresponding extreme loads at the roots of the turbine blades. In the second study, we propose an additive multivariate kernel method as a new power curve model, which is able to incorporate a variety of environmental factors in addition to merely the wind speed. In the wind industry, a power curve refers to the functional relationship between the power output generated by a wind turbine and the wind speed at the time of power generation. Power curves are used in practice for a number of important tasks including predicting wind power production and assessing a turbine's energy production efficiency. Nevertheless, actual wind power data indicate that the power output is affected by more than just wind speed. Several other environmental factors, such as wind direction, air density, humidity, turbulence intensity, and wind shears, have potential impact. Yet, in industry practice, as well as in the literature, current power curve models primarily consider wind speed and, with comparatively less frequency, wind speed and direction. Our model provides, conditional on a given environmental condition, both the point estimation and density estimation of the power output. It is able to capture the nonlinear relationships between environmental factors and wind power output, as well as the high-order inter- action effects among some of the environmental factors. To illustrate the application of the new power curve model, we conduct case studies that demonstrate how the new method can help with quantifying the benefit of vortex generator installation, advising pitch control adjustment, and facilitating the diagnosis of faults. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/151015
A Review Of Multi Criteria Decision Making Applications To Solve Energy Management Problems Two Decades From 1995 To 2015
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Author : Abbas Mardania
language : en
Publisher: Infinite Study
Release Date :
A Review Of Multi Criteria Decision Making Applications To Solve Energy Management Problems Two Decades From 1995 To 2015 written by Abbas Mardania and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Energy management problems associated with rapid institutional, political, technical, ecological, social and economic development have been of critical concern to both national and local governments worldwide for many decades; thus, addressing such issues is a global priority.
A Fuzzy Logic Based Fault Tolerant Control Approach For Wind Turbines
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Author :
language : en
Publisher:
Release Date : 2015
A Fuzzy Logic Based Fault Tolerant Control Approach For Wind Turbines written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Fault-tolerant computing categories.
Assessment Of The Productive Efficiency Of Large Wind Farms In The United States
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Author : Ümit Saglam
language : en
Publisher:
Release Date : 2018
Assessment Of The Productive Efficiency Of Large Wind Farms In The United States written by Ümit Saglam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Wind power is one of the most promising renewable energy sources that has gained enormous attention, especially in the electricity generation sector over the past decade in the United States. In this study Data Envelopment Analysis (DEA) is implemented to quantitatively evaluate the relative efficiencies of the 236 large utility-scale wind farms. Input- and output-oriented CCR (Charnes, Cooper, and Rhodes) and BCC (Banker, Charnes, and Cooper) models are applied to pre-determined three input and three output variables. The sensitivity analysis is conducted for the robustness of DEA by introducing seven new models with the various combinations of input and output variables of the original model. Tobit regression models are developed for the second stage of the analysis to investigate the effects of specifications of the wind turbine technologies. DEA results indicate that two-thirds of the wind farms are operated efficiently. On average, 70% of the wind farms have a considerable potential for further improvement in operational productivity by expanding these wind farm projects, 24% of them should reduce their operational size to increase their productivity level, and 6% of them are operating wind power at the most productive scale size. Nonparametric statistical tests show that the most efficient wind farms are located in Oklahoma because of the relatively high wind speed resources. Tobit regression model indicates the selection of the brand of the wind turbine has a significant contribution to the productive efficiency of the wind farms. The results of this study shed some light on the current efficiency assessments of the 236 large utility-scale wind farms in the United States and the future of wind energy for both energy practitioners and policy makers.
Data Analysis Method For Wind Turbine Dynamic Response Testing
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Author :
language : en
Publisher:
Release Date : 1989
Data Analysis Method For Wind Turbine Dynamic Response Testing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
The Wind Research Branch at the Solar Energy Research Institute (SERI) has developed an efficient data analysis package for personal computer use in response to growing needs of the wind turbine industry and SERI's Cooperative Field Test Program. This new software is used by field test engineers to examine wind turbine performance and loads during testing, as well as by data analysts for detailed post-processing. The Wind Data Analysis Tool Set, WINDATS, has been written as a collection of tools that fall into two general groups. First, the preparatory tools perform subsection, filtering, decimation, preaveraging, scaling, and derivation of new channels. Second, analysis tools are used for mean removal, linear detrending, azimuth averaging and removal, per-rev averaging, binning, and spectral analysis. The input data file can be a standard ASCII file as is generated by most data acquisition software. 9 refs., 10 figs.