Abstract
Municipal heating in northern areas generally suffers from heat sources, heat grid gaps, and high dependence on fossil fuels. It is difficult to guarantee the heating effect of incremental buildings at the end of the building, and relying on traditional capacity expansion methods has caused a waste of social resources to a certain extent. A “no capacity increase” municipal heating electric supplementary heating technology for urban heat exchange stations is proposed. First, the design concept of the electric supplementary heating system is explained. Then, the investment calculation model of the electric supplementary heating system is established. Finally, an office building in Shijingshan, Beijing is used as a research example to perform simulation calculations.
Highlights
At present, vigorously developing clean energy and reducing carbon emissions have become the consensus of the society [1]
Zhang et al established a model of heating equipment, heat storage equipment and related auxiliary equipment, and carried out an economic analysis of heat storage electric heating based on the annual cost of the whole life cycle [5]
Xu et al considered the heat storage characteristics of the heating network and heat users in the heat source capacity planning, and proposed an optimized configuration of the heat source capacity that takes into account the thermal characteristics of the thermal system, which can effectively improve the wind power absorption capacity of the system [12]
Summary
Vigorously developing clean energy and reducing carbon emissions have become the consensus of the society [1]. Yu et al and Senemar et al considered a variety of equipment such as combined heat and power, photovoltaic, electric energy storage, thermal energy storage and so on for the regional integrated energy system and residential area energy hub respectively, and used mixed integer linear programming to optimize the type and capacity of the equipment [9,10]. Through the two-stage planning-operation joint optimization method, the optimal configuration model of the electric heating supplementary heating system with the smallest total annual cost is established. The analysis results show that the proposed method can effectively reduce the peakvalley difference of the distribution network while meeting the open capacity of the distribution network, and meet the heating demand of end users It has good economic efficiency and provides a reference for the project. PjS is the capacity of the j-th heat storage equipment, in kW
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