Author(s)

Chengyue Yang, Yirong Wang, Ni SUN, Junting Li, Zhou YU

Corresponding Author

Ni SUN

ABSTRACT

With the increasing demand for energy and the strengthening of environmental protection all over the world, the popularization and application of clean energy has become an inevitable trend. Asset Appraisal Clean Energy (PACE) financing provides an effective financing mechanism for the government to attract private capital to invest in new energy-efficient green buildings. In this paper, the application path of asset appraisal clean energy (PACE) financing mechanism based on particle swarm optimization algorithm in clean energy power grid industry is put forward. Combined with price transmission, explanatory structure model and comprehensive evaluation theory, the structural model of electricity price factors is formed, and the validity test model of electricity price formation mechanism is constructed. The effectiveness of renewable energy electricity price subsidy policy is analyzed by using this model. The purpose is to actively explore the application of PACE financing in China and promote green building investment in clean energy grid industry.

KEYWORDS

Particle swarm optimization algorithm: pace, Clean energy