Two-stage Optimization Model Used for Community Energy Planning

Abstract

Make community energy system plan at urban detailed plan stage can help to reduce fossil energy consumption and improve community energy system efficiency. A two-stage optimization model which can be used to optimize secondary energy production and distribution at community scale is introduced. Linear programming model was utilized to get the first stage optimization result, which result is calculated from design parameters. Goal programming was used to discuss the optimization results when constrain variables changed within a certain range. From this two-stage optimization model, the optimized community energy system structure and energy consumption targets can be acquired, which results have greatly contributes to community energy planning. This method has been validated by a community heating system planning project in North China.