Sep 2020 / by ZHIBIN LIU, XIN WANG, AISHENG REN
Abstract: Biomass power generation has characteristics of good quality of power generation, high
reliability and mature technology. It plays significant aspects in maintaining the safety of energy,
optimizing energy structure, alleviating environmental pollution and promoting the economic
development in the rural areas. Analyzing the investment of biomass power generation in China
systematically cannot only improve the scientificity of the investment process, but also guide the
industry to develop rapidly and healthily. At present, the investment areas of agricultural biomass
power generation projects are too concentrated and the fuel supply is difficult, which affect the
normal operation of biomass power plants and lead to loss or on the verge of profit and loss of biomass
power generation plants. This paper constructed the optimal model of investment location of
agricultural biomass power generation projects using the iterative gravity algorithm based on the key
factors analysis to affect the operation costs of agricultural biomass power plants. The model
optimized the transportation lines and transportation distance, and gained the smallest transport
costs of power generation materials after a few iterative calculations. This paper took Huantai County
as an example, and determined the optimal investment location of agricultural biomass power project
using the Region props toolbox of Matlab 7.4. The simulating calculation of Huantai County showed
that the results given by this model are reliable, and this method to select the investment location of
agricultural biomass power projects is feasible and effective.
Keywords: Agricultural biomass power generation projects, investment location selection, optimized
iterative gravity method, Huantai County.
