@inproceedings{afd68f835dbb472598fc8b86336d7320,
title = "Calculations of System Adequacy Considering Heat Transition Pathways",
abstract = "The decarbonisation of heat in developed economies represents a significant challenge, with increased penetration of electrical heating technologies potentially leading to unprecedented increases in peak electricity demand. This work considers a method to evaluate the impact of rapid electrification of heat by utilising historic gas demand data. The work is intended to provide a data-driven complement to popular generative heat demand models, with a particular aim of informing regulators and actors in capacity markets as to how policy changes could impact on medium-Term system adequacy metrics (up to five years ahead). Results from a GB case study show that the representation of heat demand using scaled gas demand profiles increases the rate at which 1-in-20 system peaks grow by 60%, when compared to the use of scaled electricity demand profiles. Low end-use system efficiency, in terms of aggregate coefficient of performance and demand side response capabilities, are shown to potentially lead to a doubling of electrical demand-Temperature sensitivity following five years of heat demand growth.",
keywords = "demand modelling, multi-vector systems, power system reliability, System adequacy",
author = "Matthew Deakin and Sarah Sheehy and Greenwood, {David M.} and Sara Walker and Taylor, {Phil C.}",
year = "2020",
month = aug,
day = "1",
doi = "10.1109/PMAPS47429.2020.9183624",
language = "English",
series = "2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings",
publisher = "IEEE",
booktitle = "2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings",
address = "USA United States",
note = "2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 ; Conference date: 18-08-2020 Through 21-08-2020",
}