전력-열 변환(P2H) 기기 이용 건물군 열 네트워크의 모델링 및 시뮬레이션
Modeling and Simulation of a Thermal Network Using Power-to-Heat Equipment for Building Clusters
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The rapid expansion of renewable energy systems poses challenges to grid stability and energy balance owing to the intermittent nature of these systems. To address these challenges, integrating reliable heat and electricity storage with power-to-heat technologies has become essential in building energy networks. We focused on developing and demonstrating a thermal demand management system for building clusters that integrates heat pumps, thermal energy storage (TES), and electrical energy storage to absorb variability, reduce peak demand, and enable gridresponsive operation. The system operates under multiple modes, including TES charging and discharging, direct load supply, and parallel or cascade operation, depending on the load conditions, TES state, and demand response signals. To this end, operation modes, control logic, and operational scenarios were established, and a validated TRNSYS simulation model was developed. Ongoing work will involve year-long simulations to align electric and thermal scenarios, optimize operating strategies, and identify the most efficient and flexible demand management approaches. The outcomes are expected to contribute to the development of optimal, grid-responsive, and economically efficient control strategies for electrified building energy systems.
Abstract
The rapid expansion of renewable energy systems poses challenges to grid stability and energy balance owing to the intermittent nature of these systems. To address these challenges, integrating reliable heat and electricity storage with power-to-heat technologies has become essential in building energy networks. We focused on developing and demonstrating a thermal demand management system for building clusters that integrates heat pumps, thermal energy storage (TES), and electrical energy storage to absorb variability, reduce peak demand, and enable gridresponsive operation. The system operates under multiple modes, including TES charging and discharging, direct load supply, and parallel or cascade operation, depending on the load conditions, TES state, and demand response signals. To this end, operation modes, control logic, and operational scenarios were established, and a validated TRNSYS simulation model was developed. Ongoing work will involve year-long simulations to align electric and thermal scenarios, optimize operating strategies, and identify the most efficient and flexible demand management approaches. The outcomes are expected to contribute to the development of optimal, grid-responsive, and economically efficient control strategies for electrified building energy systems.