Impact of spatiotemporal heterogeneity in heat pump loads on generation and storage requirements

TL;DR

This study examines how spatiotemporal heterogeneity in residential heat pump loads influences storage and generation needs in electricity systems, highlighting increased requirements and costs when heterogeneity is considered.

Contribution

It introduces a detailed modeling approach that incorporates heat pump load heterogeneity into power system planning, revealing significant impacts on storage sizing and costs.

Findings

Heterogeneity increases storage capacity by 26% under BAU.

Storage energy capacity doubles under low-carbon scenarios.

Accounting for heterogeneity raises system costs, especially for generation capacity.

Abstract

This paper investigates how spatiotemporal heterogeneity in inflexible residential heat pump loads affects the need for storage and generation in the electricity system under business-as-usual and low-carbon emissions budgets. Homogeneous and heterogeneous heat pump loads are generated using population-weighted average and local temperature, respectively, assuming complete residential heat pump penetration. The results of a storage and generation optimal expansion model with network effects for spatiotemporally homogeneous and heterogeneous load profiles are compared. A case study is performed using a 3-bus network of London, Manchester, and Glasgow in Britain for load and weather data for representative weeks. Using heterogeneous heating demand data changes storage sizing: under a business-as-usual budget, 26% more total storage is built on an energy and power basis, and this storage is distributed among all of the buses in the heterogeneous case. Under a low-carbon budget, total energy storage at all buses increases 2 times on an energy basis and 40% on a power basis. The energy to power ratio of storage at each bus also increases when accounting for heterogeneity; this change suggests that storage will be needed to provide energy support in addition to power support for electric heating in high-renewable power systems. Accounting for heterogeneity also increases modeled systems costs, particularly capital costs, because of the need for higher generation capacity in the largest load center and coincidence of local peak demand at different buses. These results show the importance of accounting for heat pump load heterogeneity in power system planning.