Research on Chinese Solar photovoltaic development based on green-trading mechanisms in power system by using a system dynamics model

被引:5
作者
Lyu, Haifang [1 ,2 ]
Li, Hailong [2 ]
Wallin, Fredrik [2 ]
Xv, Bin [1 ]
机构
[1] China Univ Petr, Acad Chinese Energy Strategy, Beijing, Peoples R China
[2] Malardalen Univ, Sch Business Soc & Engn, Vasteras, Sweden
来源
8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016) | 2017年 / 105卷
关键词
Solar PV; Feed in tarrif; Renewable portfolio standard; Tradable green certificate; FEED-IN TARIFFS; PORTFOLIO STANDARD;
D O I
10.1016/j.egypro.2017.03.823
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
China power year book in 2014 set the target of 300GW of PV installed capacity in 2030. Solar photovoltaic (PV) has shown a significant rise because of green-trading mechanisms. This study focuses on feed in tariff (FIT) and renewable portfolio standard (RPS). The objective of these two policies is attracting the public to invest in and to use solar PV system. Based on the experience of Germany about FIT, this paper aims to evaluate the FIT and RPS policies in promoting installed PV capacity in China. A system dynamics (SD) model of PV system that includes FIT, RPS, PV cost, and installed capacity is built in this study. By using Vensim_DSS software, this paper assesses the effect of different combinations of policies on installed capacity of PV and emission reduction, and finds optimal policy combination. The results show that all four scenarios can reach the target of 300 GW in 2030. The government cost of optimal scenario will be 251 billion RMB less than the scenario of historical trend. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
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页数:6
相关论文
共 11 条
[1]  
Darmon S J, 2000, BUSINESS DYNAMICSS S
[2]   Feed-in tariff vs. renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development [J].
Dong, C. G. .
ENERGY POLICY, 2012, 42 :476-485
[3]   UNDERSTANDING MODELS WITH VENSIM (TM) [J].
EBERLEIN, RL ;
PETERSON, DW .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1992, 59 (01) :216-219
[4]   China's photovoltaic power development under policy incentives: A system dynamics analysis [J].
Guo, Xiaodan ;
Guo, Xiaopeng .
ENERGY, 2015, 93 :589-598
[5]   Assessing feed-in tariffs on wind power installation and industry development in Taiwan [J].
Hsu, Chiung-Wen ;
Ho, Shu-Ping .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 58 :548-557
[6]   Using a system dynamics model to assess the effects of capital subsidies and feed-in tariffs on solar PV installations [J].
Hsu, Chiung-Wen .
APPLIED ENERGY, 2012, 100 :205-217
[7]   The renewables portfolio standard in Texas: an early assessment [J].
Langniss, O ;
Wiser, R .
ENERGY POLICY, 2003, 31 (06) :527-535
[8]   Effectiveness through risk reduction: a comparison of the renewable obligation in England and Wales and the feed-in system in Germany [J].
Mitchell, C ;
Bauknecht, D ;
Connor, PM .
ENERGY POLICY, 2006, 34 (03) :297-305
[9]   A review on promoting share of renewable energy by green-trading mechanisms in power system [J].
Wang, Tan ;
Gong, Yu ;
Jiang, Chuanwen .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 40 :923-929
[10]  
Xingzhi X, 2014, REFORM, V7