scholarly journals Analysis of Driving Factors of Photovoltaic Power Generation Efficiency: A Case Study in China

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 355 ◽  
Author(s):  
Tao Yi ◽  
Ling Tong ◽  
Mohan Qiu ◽  
Jinpeng Liu
Keyword(s):  
Power Generation ◽  
Economic Development ◽  
Tobit Regression ◽  
Generation Efficiency ◽  
Factors Affecting ◽  
Energy Demands ◽  
Photovoltaic Power ◽  
Important Research Topic ◽  
Tobit Regression Analysis ◽  
Efficient Power

With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

scholarly journals Efficiency Measurement and Factor Analysis of China’s Solar Photovoltaic Power Generation Considering Regional Differences Based on a FAHP–DEA Model

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1936
Author(s):  
Jing Yang ◽  
Changhui Yang ◽  
Xiaojia Wang ◽  
Manli Cheng ◽  
Jingjing Shang
Keyword(s):  
Power Generation ◽  
Energy Structure ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Process Data ◽  
Generation Efficiency ◽  
Analytic Hierarchy ◽  
Dea Model ◽  
Hierarchy Process ◽  
Pv Power Generation

Driven by the transformation of the energy structure, China’s photovoltaic (PV) power generation industry has made remarkable achievements in recent years. However, there are more than 30 regions (cities/provinces) in China, and the economic, policy, technological, and the environmental conditions of each region are significantly different, which leads to a huge discrepancy in PV power generation efficiency. To address the imbalance in the development of PV industry, first, this paper employed the integrated fuzzy analytic hierarchy process–data envelopment analysis (FAHP–DEA) model to evaluate the PV power generation efficiency of 30 regions in China. Second, Tobit regression model was used to examine the effects of 9 potential influencing factors. Third, a concrete analysis was conducted, and discussion based on the efficiency rankings and regression results was made. Additionally, the FAHP–DEA model proposed in this study can also be applied to the efficiency evaluation issues of other types of renewable energy.

PV Cells Power Generation System Modeling Based on Heat Energy Efficiency

2014 ◽  
Vol 986-987 ◽  
pp. 1977-1983
Author(s):  
Feng Feng Li ◽  
Qiu Xuan Wu ◽  
Li Juan Huang ◽  
Yu Jie Huang
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Photovoltaic Cell ◽  
Utilization Efficiency ◽  
System Model ◽  
Generation System ◽  
Generation Efficiency ◽  
Photovoltaic Power ◽  
Environment Temperature ◽  
Power Generation System

Temperature is one of the important factors affecting the power generation efficiency of PV cells. In order to improve the efficiency of photovoltaic power generation systems and heat utilization efficiency, we used Matlab/Simulink to build photovoltaic power system analysis model based on thermal power. By changing the heat and illumination input to the photovoltaic cell model and the heat generated by the battery we got the characteristics and temperature characteristics of the photovoltaic cell the system model, the photovoltaic power generation system model and the output power correction, etc. We got the environmental temperature change equation through the actual air temperature and curve fitting and used real and detailed data to compare the data obtained using the equation for online correction. PV cells temperature factor was used to get the PV cells temperature with the environment temperature changes. In order to get PV module thermal /energy efficiency the dates was processed and analyzed by using Matlab and Excel through actual observation data of school 120KW PV power station. The results showed that power generation efficiency increased and year average efficiency PV improved 21.3279% through the use of some heat about PV cells.

scholarly journals MPPT Strategy to Improve Photovoltaic Power Generation Efficiency in Partial Shadows

2019 ◽  
Vol 39 (2) ◽  
pp. 1-9
Author(s):  
Cheol-Young Heo ◽  
Yong-Rae Kim ◽  
Young-Kwoun Lee ◽  
Lee Dong-Yun Leex ◽  
Ick Choy ◽  
...  
Keyword(s):  
Power Generation ◽  
Generation Efficiency ◽  
Photovoltaic Power

scholarly journals Efisiensi teknis usahatani kentang pada luas lahan yang berbeda di kabupaten Pasuruan

Agromix ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 102-110
Author(s):  
Desy Cahyaning Utami ◽  
Wenny Mamilianti
Keyword(s):  
Technical Efficiency ◽  
Agricultural Land ◽  
Potato Production ◽  
Vegetable Crops ◽  
Tobit Regression ◽  
Land Area ◽  
Factors Affecting ◽  
The Family ◽  
Tobit Regression Analysis ◽  
Douglas Production Function

Potatoes are upland vegetable crops, which is the superior plant of Tosari District, Pasuruan Regency. Tosari potatoes are the largest contributor to production in East Java. The farmer profession is the main profession in this area, inherited from the family. The land area owned is inherited from the family. The agricultural land area varies, but still found farmers with a land area of more than one hectare. In this study, respondents were divided into two groups, namely farmers with a land area of ≥ 1 hectare called cluster I and respondent farmers with a land area of ≤ 0.5 hectares called cluster II. The purpose of this study was to analyze the effect of production inputs on potato production, to analyze the level of technical efficiency of potato farmers with different land areas, to analyze the factors affecting the level of technical efficiency. The study was conducted by interviewing 49 respondent farmers in Cluster I and 70 respondent farmers in Cluster II. This study uses the Cobb Douglas production function, the analytical methods used are the Stochastic Analysis Frontier (SFA) and the Tobit regression analysis. The results showed that the production inputs that had a significant effect on production in cluster I were seeds, fertilizers, and manure, while in cluster II were fertilizers and pesticides. The level of technical efficiency of farmers who have a land area of ≥ 1 hectare is greater than farmers with a land area of ≤0.5 hectares. The land area has a significant effect on the level of technical efficiency.

Benchmarking aircraft maintenance performances using data envelopment analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thomas O'Neal ◽  
Hokey Min ◽  
Daniel Cherobini ◽  
Seong-Jong Joo
Keyword(s):  
Data Envelopment Analysis ◽  
Ad Hoc ◽  
Aircraft Maintenance ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Content Type ◽  
Factors Affecting ◽  
Comparative Efficiency ◽  
Tobit Regression Analysis ◽  
Maintenance Performance

PurposeThe authors employed the three different versions (Charnes–Cooper–Rhodes, Banker–Charnes–Cooper and slack-based measure of efficiency) of data envelopment analysis (DEA) to evaluate the comparative efficiency/inefficiency of aircraft maintenance performance during the previous 41 months in United States Air Force (USAF). As a complimentary tool, the authors also adopted Tobit regression analysis to identify factors affecting efficiencies and inefficiencies.Design/methodology/approachThis paper aims to measure the relative efficiency of maintenance performances for a type of USAF aircraft in an effort to enhance aviation safety and combat readiness.FindingsThrough this study, the authors have two noteworthy findings. These are (1) an increased number of “cannibalization” (extracting necessary parts from the existing aircraft) practices tended to reduce maintenance efficiency; (2) The number of mission-capable aircraft turned out to be the most important factor for maintenance performance efficiency.Originality/valueThis paper is one of the first studies on aircraft maintenance that considered popular but neglected cannibalization practices as a new variable for assessing the maintenance efficiency. In addition, this paper is one of the few studies that performed a post-ad hoc analysis as a follow-up to DEA analysis.

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