Optimization of the Routes to Realize Non-Fossil Fuel Development Goal in China Based on Linear Dynamic Programming Model in Multi-constraints

A linear dynamic programming model was developed to study the optimization of the routes to realize non-fossil fuel development goal in China. To deal with the flip-flop phenomenon when applying linear programming to describe and solve above managerial and engineering optimization problem, a model for optimizing the routes of non-fossil fuel developing (MORN model) was applied in multi-constraints conditions to simulate and optimize the realizing routes of China´s non-fossil fuel development goal. The results demonstrate that, adding additional multi-constraints could effectively deal with the flip-flop phenomenon caused by linear programming optimization. Taking China achieving its nonfossil fuel development goal as an example, the limits on the capacities of hydro and nuclear were the most key constraints to be added, and the wind power and energy demand were also key factors to be simulated from the constraints of the resource, technology and policies. Finally, a few policy suggestions were proposed to promote the optimization of the routes to realize non-fossil fuel development goal in China.