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In line with the constraints of environmental problems and economic development, large-scale renewable-generation projects have been planned and constructed in recent years. In order to achieve sustainable power development and improve the power supply structure, China’s government has focused on distributed photovoltaic (PV) generation projects due to their advantages of clean emission and local consumption. However, their unstable output power still brings a series of problems concerning reliability, investment income, and available substitution proportion to traditional power, and so on. Therefore, it is imperative to understand the competitive development abilities of distributed PV generation projects and measure them effectively. First, through various investigation methods such as literature reviews, feasibility report analysis and expert interviews, the factors that influence the core abilities of distributed PV-generation projects were explored based on the micro-grid structure. Then, with the indexed exploration results, the factors were classified into 6 dimensions, i.e., investment and earning ability, production and operation ability, power-grid coordination ability, energy-conservation and emission-reduction ability, sustainable development ability, and society-serving ability. Meanwhile, an evaluation index system for core abilities of distributed PV-generation project was constructed using all quantitative indicators. Third, for examining the availability of the evaluation index system, combination weighting and techniques for order preference by similarity to an ideal solution (TOPSIS) methods were adopted to assess the practical distributed PV-generation projects. The case study results showed that installed capacity, local economy development, and grid-connected power quantity will influence the core abilities of distributed PV-generation project, obviously. The conclusions of the evaluation analysis on core abilities can provide useful references to operate and manage distributed PV-generation projects and promote their sustainable and health advantages. The proposed evaluation index system can also be used to assess power-generation projects in other types of energy, such as wind power and hydropower.
Lin He; Chang-Ling Li; Qing-Yun Nie; Yan Men; Hai Shao; Jiang Zhu. Core Abilities Evaluation Index System Exploration and Empirical Study on Distributed PV-Generation Projects. Energies 2017, 10, 2083 .
AMA StyleLin He, Chang-Ling Li, Qing-Yun Nie, Yan Men, Hai Shao, Jiang Zhu. Core Abilities Evaluation Index System Exploration and Empirical Study on Distributed PV-Generation Projects. Energies. 2017; 10 (12):2083.
Chicago/Turabian StyleLin He; Chang-Ling Li; Qing-Yun Nie; Yan Men; Hai Shao; Jiang Zhu. 2017. "Core Abilities Evaluation Index System Exploration and Empirical Study on Distributed PV-Generation Projects." Energies 10, no. 12: 2083.
In line with the pressures of energy shortage and economic development, Chinese government has adopted a series of measures and policies to promote the exploitation and utilization efficiency of electric power. China is urgently reconsidering its electric power development level and coordinating between power supply and demand sides. Therefore, in this paper, Chinese industrial structure of electric power was constructed according to its production process from resource, production and consumption sides. With the constructed industrial structure, the influencing factors on each side were selected to build a measurable evaluation system. Thirty-one Chinese provinces were chosen to explore their development coordination level based on the projection pursuit model and coupling coordination model. By the projection pursuit model, improved projection directions and best projection vectors of each province were found to describe the development level of each side. The coupling coordination model was adopted to explore the provincial supply and demand relations between electric power industry side via the indexes of coupling degree, coordination degree and relative development degree. By using ArcGIS mapping analysis, the results show the changes in Chinese provincial coupling and coordination development levels from 2011 to 2014. Finally, using the evaluation results, optimal strategies were discussed for improving the coordination of Chinese electric power development from different aspects, such as technical support, project approval and supervision, and demand side management. The findings prove that projection pursuit model and coupling coordination model can evaluate the electric power development level and describe their dynamic changing coordination relations effectively.
Jiang Zhu; Zhenyu Zhao. Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study. Sustainability 2017, 9, 209 .
AMA StyleJiang Zhu, Zhenyu Zhao. Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study. Sustainability. 2017; 9 (2):209.
Chicago/Turabian StyleJiang Zhu; Zhenyu Zhao. 2017. "Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study." Sustainability 9, no. 2: 209.
In order to meet the dual requirements of economic development and energy consumption, the Chinese government has adopted a series of measures and policies to improve energy efficiency. However, the developing characteristics are not the same in different regions. Thus, it is necessary to analyze the actual energy efficiency levels in a more targeted manner. In this paper, 30 provinces in China will be adopted to study energy efficiency based on the statistical data from National Energy Administration and National Bureau of Statistics. With the trends of Chinese energy consumption and economy development, the Lorenz curve between Chinese energy consumption and GDP is fitted firstly. The Lorenz coefficient (0.1562) shows that the energy allocation in China is neither reasonable nor balanced. Then, by cluster analysis, the regions of different provinces are newly divided into five divisions from the dimensions of economy and energy, i.e., (high development level and high consumption level, HH), (moderate development level and moderate consumption level, MM), (moderate development level and low consumption level, ML), (low development level and low consumption level, LL), and (low development level and moderate consumption level, LM). Based on the division results, the provincial promotion potentialities are estimated quantitatively according to the absolute convergence feature of energy efficiency promotion. The provinces that have more promotion potentialities of energy efficiency are located, such as Hebei (56.29%) in division (HH), Liaoning (38.15%) in division (MM), Anhui (44.17%) in division (ML), Ningxia (71.63%) in division (LL), and Xinjiang (35.26%) in division (LM), According to the different provincial potentialities, energy efficiency in China needs to improve more, but the improvement approaches should be specific and differential. Driven by technology, policy and mechanism, and industrial restructuring, the Chinese economy and energy resources should be integrated afresh to promote the energy efficiency level. Some optimal strategies on energy efficiency promotion are discussed, finally, aiming to provide effective references for the Chinese government to make relative policies. The study proposes a new perspective for provincial energy efficiency research which can also provide a reference for other countries.
Jinpeng Liu; Li Wang; Mohan Qiu; Jiang Zhu. Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China. Sustainability 2016, 8, 741 .
AMA StyleJinpeng Liu, Li Wang, Mohan Qiu, Jiang Zhu. Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China. Sustainability. 2016; 8 (8):741.
Chicago/Turabian StyleJinpeng Liu; Li Wang; Mohan Qiu; Jiang Zhu. 2016. "Promotion Potentiality and Optimal Strategies Analysis of Provincial Energy Efficiency in China." Sustainability 8, no. 8: 741.