scholarly journals Life Cycle CO2 Emission Analysis of Hydrogen Storage and Battery for Wind Power Generation

2010 ◽  
Vol 89 (6) ◽  
pp. 551-561 ◽  
Author(s):  
Tatsuro USUI ◽  
Hiroki HONDO
2012 ◽  
Vol 37 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Md Ruhul Kabir ◽  
Braden Rooke ◽  
G.D. Malinga Dassanayake ◽  
Brian A. Fleck

2013 ◽  
Vol 448-453 ◽  
pp. 1897-1903
Author(s):  
Jia Hua Dong ◽  
Wei Guang Zhu ◽  
Cheng Kang Gao

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.


2013 ◽  
Vol 316-317 ◽  
pp. 254-258
Author(s):  
Jia Hua Dong ◽  
Wei Guang Zhu ◽  
Cheng Kang Gao ◽  
Han Mei Tang

Wind power is an important type of renewable energy sources. In this passage we will apply Life Cycle Assessment 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.


2021 ◽  
pp. 014459872110033
Author(s):  
Zheng Li ◽  
Shaodong Hou ◽  
Xin Cao ◽  
Yan Qin ◽  
Pengju Wang ◽  
...  

In view of the uncertainty and volatility of wind power generation and the inability to provide stable and continuous power, this paper proposes a hydrogen storage wind-gas complementary power generation system, using Matlab/Simulink to simulate and model wind generators and gas turbines. Considering the economy and power supply reliability of the wind-gas complementary power generation system, and taking the economic and environmental cost of the system as the objective function, the capacity optimization model of the wind-gas complementary power generation system is established. The brain storming algorithm (BSO) is used to solve the optimization problem, and the BSO algorithm is used to optimize the BP neural network, which improves the accuracy of the BP neural network for load forecasting. Finally, a simulation is carried out with load data in a certain area, and the simulation verification verifies that BSO-BP can improve the accuracy of load forecasting and reduce the error of load forecasting. Multi-objective optimization of system economic cost and environmental cost through BSO algorithm can make the system cost reach the most reasonable level. Through the analysis of the calculation examples, it is verified that gas-fired power generation can effectively alleviate the volatility of wind power generation, showing the role and advantages of energy complementary power generation. Therefore, the wind-gas complementary system can effectively increase energy utilization and reduce wind curtailment.


2014 ◽  
Vol 2 ◽  
pp. 170-173
Author(s):  
Tsuyoshi Higuchi ◽  
Yuichi Yokoi

Sign in / Sign up

Export Citation Format

Share Document