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C037 — Energy Management and Control System for a PV-Battery System to Improve Residential Building Resiliency Under Extreme Weather Conditions

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Electricity is used in almost all homes, and electricity accounted for 41% of household end-use energy consumption in 2019. Demand-side management of residential buildings, including heating, ventilation, and air conditioning (HVAC), home appliances such as refrigerators, washer/dryers, lights, and behind the meter (BTM) distributed energy resources (DERs) such as photovoltaic (PV) and battery energy storage system (BESS), play a critical role to alleviate the pressure on grid stability and reliability. The Texas power outages in February 2021 have highlighted the urgent needs to systematically engage demand-side flexible loads and customer-generators such as BTM DERs in bridging the gap between power demand and supply. This is vitally important in extreme weather conditions, which may lead to an extensive power outage (e.g., Texas in February 2021). The combination of PV and BESS is identified as a potential opportunity to tackle this scenario. However, the design of specific control sequences is challenging because multiple components are engaged in this complex system. To address this gap, this paper is to exploit a small BESS integrated demand-side solution for residential buildings in Texas under extreme weather events (e.g., winter storms or heat waves) through a systemic analysis. We propose an adaptive model predictive control (MPC) platform to assist residential buildings with PV and BESS in improving the building resilience under normal and extreme weather conditions. During normal demand response, the adaptive MPC platform can minimize building owner’s bills while maintaining occupant’s thermal comfort. During demand response to an extreme weather event, it can provide optimal operation schedules with the consideration of peak demand limits and relax constraints of building operation needs. Some preliminary results show that at least 70% resilience improvement is achieved in terms of Unmet Degree Hour (UDH).

Product Details

Published:
2023
Number of Pages:
11
Units of Measure:
Dual
File Size:
1 file , 1.5 MB
Product Code(s):
D-AT-23-C037
Note:
This product is unavailable in Russia, Belarus

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