Research on promotion incentive policy and mechanism simulation model of energy storage technology
Abstract With the promulgation and implementation of a large number of renewable energy policies in China, the rapid development of renewable energy is accompanied by the prominent phenomenon of renewable energy abandoning wind and light. Energy storage technology is the key technology to promote th...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Wiley
2019-12-01
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Series: | Energy Science & Engineering |
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Online Access: | https://doi.org/10.1002/ese3.485 |
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author | Qiang Wang Zhongfu Tan Gejirifu De Lei Pu Jing Wu |
author_facet | Qiang Wang Zhongfu Tan Gejirifu De Lei Pu Jing Wu |
author_sort | Qiang Wang |
collection | DOAJ |
description | Abstract With the promulgation and implementation of a large number of renewable energy policies in China, the rapid development of renewable energy is accompanied by the prominent phenomenon of renewable energy abandoning wind and light. Energy storage technology is the key technology to promote the consumption of renewable energy. The government can promote the energy storage technology through the incentive policy of energy storage industry. Firstly, content analysis method is used to analyze China's energy storage policy, and five incentive policies for promoting energy storage technology are obtained. Secondly, built a game model of energy storage technology promotion based on the evolutionary game theory. Finally, use MATLAB software for numerical simulation. Numerical simulation results show that: (a) When the local government chooses to promote less, energy enterprises will eventually adopt the nonconfigure strategy; (b) when the local government chooses to promote more vigorously, energy enterprises will finally adopt the configure strategy; (c) increase in the total electricity sold by energy enterprises with energy storage devices, the sales price of energy stored per unit, the compensation price of energy stored per unit, tax relief standards, and incentive costs of local governments can promote energy enterprises to choose configure strategies; and (d) the reduction of unit energy storage cost, configure cost, and comprehensive tax rate can promote energy enterprises to choose configure strategy. |
first_indexed | 2024-04-12T04:14:05Z |
format | Article |
id | doaj.art-1403a8ec825448cca98a6581c70dda97 |
institution | Directory Open Access Journal |
issn | 2050-0505 |
language | English |
last_indexed | 2024-04-12T04:14:05Z |
publishDate | 2019-12-01 |
publisher | Wiley |
record_format | Article |
series | Energy Science & Engineering |
spelling | doaj.art-1403a8ec825448cca98a6581c70dda972022-12-22T03:48:27ZengWileyEnergy Science & Engineering2050-05052019-12-01763147315910.1002/ese3.485Research on promotion incentive policy and mechanism simulation model of energy storage technologyQiang Wang0Zhongfu Tan1Gejirifu De2Lei Pu3Jing Wu4School of Economics and Management North China Electric Power University Beijing ChinaSchool of Economics and Management North China Electric Power University Beijing ChinaSchool of Economics and Management North China Electric Power University Beijing ChinaSchool of Economics and Management North China Electric Power University Beijing ChinaSchool of Economics and Management North China Electric Power University Beijing ChinaAbstract With the promulgation and implementation of a large number of renewable energy policies in China, the rapid development of renewable energy is accompanied by the prominent phenomenon of renewable energy abandoning wind and light. Energy storage technology is the key technology to promote the consumption of renewable energy. The government can promote the energy storage technology through the incentive policy of energy storage industry. Firstly, content analysis method is used to analyze China's energy storage policy, and five incentive policies for promoting energy storage technology are obtained. Secondly, built a game model of energy storage technology promotion based on the evolutionary game theory. Finally, use MATLAB software for numerical simulation. Numerical simulation results show that: (a) When the local government chooses to promote less, energy enterprises will eventually adopt the nonconfigure strategy; (b) when the local government chooses to promote more vigorously, energy enterprises will finally adopt the configure strategy; (c) increase in the total electricity sold by energy enterprises with energy storage devices, the sales price of energy stored per unit, the compensation price of energy stored per unit, tax relief standards, and incentive costs of local governments can promote energy enterprises to choose configure strategies; and (d) the reduction of unit energy storage cost, configure cost, and comprehensive tax rate can promote energy enterprises to choose configure strategy.https://doi.org/10.1002/ese3.485content analysis methodenergy storage technologyevolutionary gameincentive policypromotion mechanism |
spellingShingle | Qiang Wang Zhongfu Tan Gejirifu De Lei Pu Jing Wu Research on promotion incentive policy and mechanism simulation model of energy storage technology Energy Science & Engineering content analysis method energy storage technology evolutionary game incentive policy promotion mechanism |
title | Research on promotion incentive policy and mechanism simulation model of energy storage technology |
title_full | Research on promotion incentive policy and mechanism simulation model of energy storage technology |
title_fullStr | Research on promotion incentive policy and mechanism simulation model of energy storage technology |
title_full_unstemmed | Research on promotion incentive policy and mechanism simulation model of energy storage technology |
title_short | Research on promotion incentive policy and mechanism simulation model of energy storage technology |
title_sort | research on promotion incentive policy and mechanism simulation model of energy storage technology |
topic | content analysis method energy storage technology evolutionary game incentive policy promotion mechanism |
url | https://doi.org/10.1002/ese3.485 |
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