Capacity Configuration and Operation Analysis of Clean Heating System with Electric/Thermal Energy Storage

FU Xiaomin

Distributed Energy ›› 2022, Vol. 7 ›› Issue (3) : 44-51.

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Distributed Energy ›› 2022, Vol. 7 ›› Issue (3) : 44-51. DOI: 10.16513/j.2096-2185.DE.2207306
Basic Research

Capacity Configuration and Operation Analysis of Clean Heating System with Electric/Thermal Energy Storage

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Aiming at the transformation of heating cleaning and new energy consumption, it is proposed to increase the configuration of electric/thermal energy storage to improve the flexibility of the multi-energy system. A photovoltaic, electrochemical energy storage, thermal storage tank and electric boiler are constructed with the goal of the lowest operating cost. Based on DeST carry out fine simulation of building heating load, and use intelligent algorithm to calculate the capacity configuration of each energy unit in different scenarios under the on-grid/off-grid operation strategy. In different scenarios, it is subject to operation scheduling strategy settings and cost constraints, Under the grid-connected operation strategy of Scenario 1, only photovoltaic power plants are configured, and the operating cost is the lowest. In Scenario 2, under the strategy of free power purchase and surplus electricity disposal, compared with Scenario 1, the PV configuration is reduced, and a small amount of heat storage is added to reduce heating troughs and photovoltaics. In the case of photovoltaic power abandonment during the period of high output superposition, the large-scale configuration of electrochemical energy storage improves the self-sufficiency of the system under the limited conditions of off-grid operation and new energy consumption in scenario three, and the cost is greatly increased by 147.8%, 111.9% compared with Scenarios 1 and 2. The new energy waste rate drops from 77% to 50%, and the self-sufficiency is greatly improved.

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Xiaomin FU. Capacity Configuration and Operation Analysis of Clean Heating System with Electric/Thermal Energy Storage[J]. Distributed Energy Resources. 2022, 7(3): 44-51 https://doi.org/10.16513/j.2096-2185.DE.2207306

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Funding

Project supported by the Science and Technology Project of Northwest Electric Power Experimental Research Institute of China Datang Corporation Science & Technology General Research Institute Co., Ltd.(XB2022-XD001)
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