Simulating the impact of investment preference on low-carbon transition in power sector

Huadong Chen, Can Wang, Wenjia Cai and Jianhui Wang

Applied Energy, 2018, vol. 217, issue C, 440-455

Abstract: With the deepening marketization of the electric power industry in China, its low-carbon transition relies increasingly on enterprise investment decisions. These decisions can be influenced by the risk preferences and technical preferences of the enterprises, thus deviating traditional estimation with respect to both economic optimization and uncertainty. To evaluate the impacts of investment preferences on the development path of the power sector, we developed an agent-based model combined with Monte Carlo simulation to quantitatively capture the risk preferences and adaptive technical preferences of power enterprises in their decision-making process. Two scenarios were established with and without risk preferences and adaptive technical preferences, respectively. The results indicate that both the risk aversion and the adaptive technical preference of power generation enterprises play significant roles in promoting the low-carbon transition of the power sector and that they exhibit a synergistic effect. In addition, the risk aversion of power generation enterprises increases the stability of transition in the power sector. However, these two preferences lead to income loss and additional subsidy burden in the power sector. The preferences of power generation enterprises should be recognized and considered in the design and evaluation of low-carbon policies in China’s power sector.

Keywords: Risk preference; Adaptive technical preference; Long-term low-carbon transition; China’s power sector; Agent-based model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (19)

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DOI: 10.1016/j.apenergy.2018.02.152

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