Xiaotian Wang, Lei Liang, Xuan Zhang, et al. Distributed Real-Time Temperature and Energy Control of Energy Efficient Buildings via Geothermal Heat Pumps[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2289-2300.
DOI:
Xiaotian Wang, Lei Liang, Xuan Zhang, et al. Distributed Real-Time Temperature and Energy Control of Energy Efficient Buildings via Geothermal Heat Pumps[J]. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2289-2300.DOI: 10.17775/CSEEJPES.2020.05840.
Distributed Real-Time Temperature and Energy Control of Energy Efficient Buildings via Geothermal Heat Pumps
摘要
Abstract
Geothermal heat pumps (GHPs) are a type of heating ventilation and air conditioning (HVAC) systems that use low-temperature resources from soil and groundwater for heating/cooling. In recent years
there has been an increasing interest in GHP systems due to their high energy efficiency and abundant geothermal resources. Thus
the optimization and control design of the GHP system has become a hot topic. On the other hand
as the GHP system is an ideal responsive load
mechanism design for the GHP system to realize demand response (DR) in a virtual power plant (VPP) without affecting user comfort is particularly essential. In this paper
we propose a distributed real-time temperature and energy management method via GHP systems for multi-buildings
where both floor and radiator heating/cooling distribution subsystems in multiple thermal zones are considered. We design an energy demand response mechanism for a single GHP to track the given energy consumption command for participating in VPP aggregation/disaggregation. Besides
a coordination mechanism for multiple GHPs is designed for the community-level operator in joining VPP aggregation/disaggregation. Both designed schemes are scalable and do not need to measure or predict any exogenous disturbances such as outdoor temperature and heating disturbances from external sources
e.g.
user activity and device operation. Finally
four numerical examples for the simulation of two different scenarios demonstrate the effectiveness of the proposed methods.