Abstract
As air pollution becomes increasingly critical, “near-zero emission” technological innovation in coal-fired plants are needed for the government and public consumers. The aim of this paper is to built the evolutionary game for analysing “near-zero emission” technological innovation diffusion in coal-fired plants. According to bionics research of evolution, this paper introduces the co-evolutionary algorithm to simulate the diffusion. By modeling the evolutionary gaming behavior of coal-fired plants, the simulation can capture the dynamics of coal-fired plants’ strategy, which is adopting “near-zero emission” technological innovation or not. It is key to model the diffusion under electricity market and government regulation because it can provide some suggestions for promoting the diffusion. Simulations show that the coal-fired plant for most profit should adopt independent R&D for “near-zero emission” technology and increasing the subsidy intensity has a significant role in promoting the diffusion.
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Huang, Y., Wang, H., Liu, S. (2018). Research on “Near-Zero Emission” Technological Innovation Diffusion Based on Co-evolutionary Game Approach. In: Qiao, J., et al. Bio-inspired Computing: Theories and Applications. BIC-TA 2018. Communications in Computer and Information Science, vol 951. Springer, Singapore. https://doi.org/10.1007/978-981-13-2826-8_5
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DOI: https://doi.org/10.1007/978-981-13-2826-8_5
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