关键词: 槽式太阳能集热系统, 多目标优化, 遗传算法, Pareto非劣解, 集热器面积

Abstract: Adopting trough solar steam generator for heavy oil exploitation is the transformation of solar-thermal power generation technology, which can reduce energy consumption of conventional energy sources effectively and protect the environment. This paper takes the existing thermal process steam system of TK-921 single well in Xinjiang Tahe Oilfield as the object. Trough solar steam generator is introduced for system transformation, and the design of trough solar steam generator system is optimized. First, according to principles of energy saving and low cost, an optimized design method for the heat collection system using a steam generator assisted with the trough solar collector is proposed to meet the demand on heat loads in the all-weather thermal recovery process. Then a multi-objective optimization model for the system is established by constructing the annual cost model of the heat collection system using a steam generator assisted with the trough solar collector and together with the relationship among the annual cost model, the solar guarantee rate and the total cost of the system. Finally, the optimal target model is calculated by using MATLAB genetic algorithm, and the optimal collector area value is obtained by analyzing the Pareto non-inferior solution set of multi-objective function.

Key words: trough solar collector system, multi-objective optimization, genetic algorithm, Pareto noninferiority solution, Collector area