scholarly journals Computational System for Sizing Wind Energy Generation Systems Using Artificial Neural Networks

2018 ◽  
Vol 10 (10) ◽  
pp. 423
Author(s):  
Rafael Gil Ferques ◽  
C. E. C. Nogueira ◽  
A. M. Meneghetti ◽  
D. M. Rocha

The objective of this work was to develop a computational application for the design of wind power generation systems in small-scale On-Grid and Off-Grid installations, using a user friendly and interactive process. Using artificial intelligence concepts in conjunction with genetic algorithms, to verify the technical and economic viability of the implementation of the wind power generation system. The application coding was done using the languages Java, C, C++ and the database in MySQL language, containing technical specifications and costs of components of a wind system (of this type of system). For the development of neural networks and genetic algorithms, the Encog library was used. The application has proven effective in designing and economic analysis of small wind systems, allowing fast and simple simulation of On-Grid systems and Off-Grid systems. In addition, it proved effective in storing and accessing the information regarding the simulations performed and in the comparison between them, in order to perform a new simulation. Also, it was reliable in the accomplishment of the economic analysis, returning in a clear form the feasibility or not of the implantation of the project.

This chapter consists of two sections, ‘Analysis of a Fuel Cell Microgrid with a Small-Scale Wind Turbine Generator’ and ‘Power Characteristics of a Fuel Cell Microgrid with Wind Power Generation.’ An independent microgrid is expected to be effective in cutting greenhouse gas discharge and energy costs. Therefore, the operating conditions of an independent microgrid that supplies power with renewable power sources and fuel cells are investigated in the 1st section. In the 2nd section, the dynamic characteristics of fuel cell microgrid are investigated in numerical analysis, and the cost of fuel consumption and efficiency is also calculated. In addition, the stabilization time of the microgrid and its dynamic characteristics accompanied by wind-power-generation and fluctuation of the power load are clarified.


2017 ◽  
Vol 43 (0) ◽  
pp. 43-49 ◽  
Author(s):  
Daiki Taniguchi ◽  
Yuki Narisada ◽  
Hiroaki Yamada ◽  
Toshihiko Tanaka ◽  
Tomohiro Tamura ◽  
...  

2022 ◽  
Vol 7 ◽  
pp. 9
Author(s):  
Seyed Amir Kaboli ◽  
Reyhaneh Nazmabadi

There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on techno-economic analysis of the feasibility of implementing wind power generation in Kuwait with a power generation capacity of 105 MW based on 50 wind turbines, which has a major requirement for clean energy. The study focused on three main areas of analysis and numerical modeling using the RETScreen software tool. The first area involved evaluating the performance and efficacy of generating wind power by collecting, analyzing, and modeling data on observed wind levels, wind turbine operation, and wind power generation. The second area comprised an environmental impact review to assess the environmental benefits of implementing wind power. The third area involved economic analysis of installing wind power in Kuwait. The analysis was undertaken to assess the energy recovery time for wind energy and determine the mitigation of global warming and pollution levels, the decrease of toxic emissions, and any cost savings from implementing clean energy systems in Kuwait. Additionally, sensitivity analysis was undertaken to determine the impact of certain variables in the modeling process. The results are used to estimate that the energy price would be $0.053 per kWh for a power generation capacity of 105 MWh based on an initial cost of $168 million and O&M of $5 million for 214,000 MWh of electricity exported to the grid. Moreover, the wind turbine farm will potentially avoid the emission of approximately 1.8 million tonnes of carbon dioxide per year, thereby saving approximately $9 million over 20 years spent installing carbon capture systems for conventional power plants. The wind farm containing a simple wind turbine is estimated to have a payback period of 9.1 years.


2012 ◽  
Vol 36 (6) ◽  
pp. 647-665 ◽  
Author(s):  
David MacPhee ◽  
Asfaw Beyene

The following work represents the most recent advances in design and testing of vertical axis wind turbines (VAWT) rotors. VAWTs have received much attention as of late due to proposed advantages in small scale and off grid wind power generation. Thus, many recent works have surfaced involving analysis, design and optimization of VAWT rotors in order to more efficiently convert wind energy to electricity or other readily usable means. This paper is a collection of most of the recent literature works involving VAWT rotor design and testing, the majority of which published after 2005. We discuss research in the designing of various lift based rotors as well as some drag based rotors, hybrids, and various others. The recent work in this area suggests VAWT capacity could dramatically increase in the near future, and play a vital role in obtaining cleaner, more sustainable energy when global energy demand is increasing at an unprecedented rate. HIGHLIGHTS A review of various works involving rotor design and testing of both lift and drag Vertical Axis Wind Turbines (VAWTs) is presented; Benefits of vertical axis wind turbines in small scale and off grid wind power generation is summarized; Much of the recent work, published after 2005, has been directed towards analyzing, designing, and optimizing rotor shapes. The body of this recent work suggests that research on VAWT rotor design continues to flourish and could make VAWTs a viable competitor to more traditional Horizontal Axis Wind Turbines (HAWTs) worldwide.


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