Open Access

ARTICLE

Transient Simulation and Optimization of Regional Integrated Energy System

Xueqin Tian¹, Mengran Cui², Tong Xu¹, Jinfei Sun², Xinlei Wang¹, Jiangxiang Guo², De-Gejirifu^1,*, Na Wang¹

1 State Grid Economic and Technological Research Institute Co., Ltd., Beijing, 102209, China
2 Qingdao University of Technology, Qingdao, 266033, China

* Corresponding Author: De-Gejirifu. Email:

Energy Engineering 2022, 119(3), 1031-1045. https://doi.org/10.32604/ee.2022.015984

Received 29 January 2021; Accepted 08 April 2021; Issue published 31 March 2022

Abstract

A modeling method of regional integrated energy system based on bus method and transient simulation is proposed, and the system optimization is based on the dynamic balance of supply and demand in the whole year energy supply cycle. A CCHP system of gas turbine coupled with ground source heat pump and electric refrigeration unit is constructed. The energy relationship of the system is described by bus structure, and the transient calculation model is built on TRNSYS platform. The weighted sum of annual total cost saving rate, primary energy saving rate and environmental pollutant shadow cost saving rate is taken as the optimized objective function, and on the basis of annual dynamic balance, the Hooke-Jeeves algorithm is used for optimization of the system configuration. A complex commercial area in Beijing is taken as an example, and different weighting coefficients are set for optimization of the system configuration. The results show that, from the perspective of economy, environmental benefit and primary energy consumption, performance of the system increases and then decreases with rise of gas turbine power; under the simulated cooling/heating load, the maximum number of optimum configuration is seen in the combination of 35 kW gas turbine + 723 kW GSHP and 1178 kW electric chiller; in comparison with traditional distributed system, the annual cost saving rate, primary energy saving rate and environmental pollutant shadow cost saving rate of the system are 29.4%, 49.6% and 58.2%, respectively.

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Keywords

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