Comparative life cycle energy, emission, and economic analysis of 100 kW nameplate wind power generation

2012 ◽  
Vol 37 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Md Ruhul Kabir ◽  
Braden Rooke ◽  
G.D. Malinga Dassanayake ◽  
Brian A. Fleck
Keyword(s):  
Power Generation ◽  
Life Cycle ◽  
Economic Analysis ◽  
Wind Power ◽  
Wind Power Generation ◽  
Energy Emission

scholarly journals Techno-economic analysis and modelling of the feasibility of wind energy in Kuwait

2022 ◽  
Vol 7 ◽  
pp. 9
Author(s):  
Seyed Amir Kaboli ◽  
Reyhaneh Nazmabadi
Keyword(s):  
Power Generation ◽  
Economic Analysis ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Power ◽  
Power Plants ◽  
Clean Energy ◽  
Wind Power Generation ◽  
Generation Capacity ◽  
The Impact

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.

Life Cycle Assessment on Environmental Impact of Wind Power Turbines

2013 ◽  
Vol 448-453 ◽  
pp. 1897-1903
Author(s):  
Jia Hua Dong ◽  
Wei Guang Zhu ◽  
Cheng Kang Gao
Keyword(s):  
Power Generation ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Environmental Impact ◽  
Wind Power ◽  
Power Plants ◽  
Raw Materials ◽  
Renewable Energy Sources ◽  
Wind Power Generation

Wind power is an important type of renewable energy sources. In this passage we will apply Life Cycle Assessment (LCA) to analyze the four stages of wind power generation,which are production of raw materials, transportation, build-operate process of wind plants and demolition stages, calculate the energy consumption and the environmental impact, set a contrastive analysis between coal-fired power plants and wind power plants. We will take WangHaiSi Wind Plant in Faku, Shenyang as an example to show the difference between the two ways of getting power. The analysis shows that: in comparison with coal-fired generation, wind power generation saves more energy and reduces emissions of pollutants markedly; the main energy consumption comes from production of raw materials, which takes 79.3% of the total energy consumption throughout the life cycle. In the meantime, the large amount of ecological resources consumption from construction, operation and maintenance of wind plants leads to mass emission of carbon dioxide and sulfur dioxide, which respectively take 67.3% and 96.6% of total emissions. Besides, wind generation only accounts for 0.93%, 0.89% and 2.72% of energy consumption, global warming potential (GWP) and acid potential (AP) of coal-fired power generation. Thus, it proved that wind power generation has lesser impacts on environment than coal-fired power generation. However, it is still of great necessity to strengthen the environmental protection measures to reduce the consumption and destroy of ecologic resources.

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
Keyword(s):  
Neural Networks ◽  
Power Generation ◽  
Genetic Algorithms ◽  
Economic Analysis ◽  
Wind Power ◽  
Wind Power Generation ◽  
Small Scale ◽  
Grid Systems ◽  
Simple Simulation ◽  
Technical Specifications

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.

Sign in / Sign up

Export Citation Format

Share Document