Cost and CO 2 reductions of solar photovoltaic power generation in China: Perspectives for 2020

Wang, Yu; Zhou, Sheng; Hong, Huasheng

doi:10.1016/j.rser.2014.07.027

Cited by 113 publications

(42 citation statements)

References 27 publications

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“…RPD " GPDˆSPD`p1´PSqˆGPDˆPD (7) RPP " GPPˆPB (8) IPD " RPDˆIPDPˆPFD{ISP (9) IPP " RPPˆIPPPˆPFP{ISP (10) CPDptq " CPDpt´dtq`pCPDNqdt " CPDpt´dtq`pIPDˆ100{CPDqdt (11) CPPptq " CPPpt´dtq`pCPPNqdt " CPPpt´dtq`pIPPˆ100{CPPqdt (12) Energies 2016, 9, 336 8 of 23 …”

Section: Installed Pv Capacity Subsystemmentioning

confidence: 99%

Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis

2016

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Abstract:Recently, China has brought out several air-pollution control policies, which indicate the prominent position that PV power hold in improving atmosphere environment. Under this policy environment, the development of China's PV power will be greatly affected. Firstly, after analyzing the influencing path of air-pollution control policies on PV power, this paper built a system dynamics model, which can be used as a platform for predicting China's PV power development in every policy scenario during 2015-2025. Secondly, different model parameters are put into the SD model to simulate three scenarios of air-pollution control policies. Comparisons between the simulated results of different policy scenarios measure the air-pollution control policy's impact on China's PV power in the aspect of generation, installed capacity, power curtailment and so on. This paper points out the long-term development pattern of China's PV power under latest incentive policies, and provides reference for the policymakers to increase the effect and efficiency of air-pollution control policies.

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Section: Installed Pv Capacity Subsystemmentioning

confidence: 99%

Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis

2016

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“…At present, the main drivers for the demand of PV cells and modules come from the support of national policies and price subsidy. Along with the market continues to grow and the scale of the PV industry is rapidly expanded, the cost of PV generation is expected to decreased in the near future [15].…”

Section: Development Of Pv Generationmentioning

confidence: 99%

Powering China's Sustainable Development with Renewable Energies: Current Status and Future Trend

Jia

Gao

et al. 2015

Electric Power Components and Systems

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“…Among multiple renewable energy sources, solar energy is a theoretically inexhaustible and emissions-free energy source, and generation from solar energy sources is a clean and renewable operation mode of electrical system, which could perfectly match the industry electricity load in time and also eliminate the electric energy loss during the long-distance transmission process since the PV project is close to the location of load [3]. Thus, solar photovoltaic power has become one of the most promising sources of renewable energy in the future world [4].…”

Section: Introductionmentioning

confidence: 99%

The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China

Chen

2019

Energies

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Since the concession period is one of the most crucial variables influencing the success of a photovoltaic (PV) power project under build-operate-transfer (BOT) mode, this paper presents a real option game model—which integrates the real option and cooperative game theory—to determine the optimal concession period of the BOT solar PV power project under policy incentives by considering the value of the option to defer. In the proposed model, an effective interval of concession period for the BOT project was identified by using a real option, and the equilibrium value of the concession period was obtained by applying classical optimization theory. To evaluate our model, we empirically determined the optimal concession period for the BOT solar PV power project in China, and a sensitivity analysis was conducted to demonstrate how relevant influential factors, which are presented in the model, affect the equilibrium value of the concession period and its effective interval. The results indicate that the current investment environment in China could successfully implement the BOT solar PV power project under policy incentives, including initial cost subsidy and the feed-in tariffs mechanism. While the high volatility of electricity demand, investment cost, and land-use rent fee can lead the failure of the BOT solar PV project implementation, promoting the technological development of PV power generation, maintaining the market stability, and increasing the policy incentives can help the BOT power project to be arranged with an optimal concession period. In addition, the feed-in tariffs mechanism is more helpful than the initial cost subsidy for winning the BOT contract.

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Cost and CO 2 reductions of solar photovoltaic power generation in China: Perspectives for 2020

Cited by 113 publications

References 27 publications

Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis

Assessment of Air-Pollution Control Policy’s Impact on China’s PV Power: A System Dynamics Analysis

Powering China's Sustainable Development with Renewable Energies: Current Status and Future Trend

The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China

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