Li, PH;
Barazza, E;
Strachan, N;
(2022)
The influences of non-optimal investments on the scale-up of smart local energy systems in the UK electricity market.
Energy Policy
, 170
, Article 113241. 10.1016/j.enpol.2022.113241.
Preview |
Text
1-s2.0-S0301421522004608-main.pdf - Published Version Download (4MB) | Preview |
Abstract
Rapid and deep decarbonisation of electricity systems is critical in many pathways to meet net-zero emissions by 2050. Smart local energy systems (SLES) have been touted as key for both a rapid scale-up of renewable electricity and flexibility for stability in decarbonised electricity systems. A novel agent-based model – incorporating local investor and governance agents, improved temporal resolution, and demand-side flexibility – was used to investigate strategic decision making in the scale-up of SLES. From the perspective of this model, key modelling insights include: SLES investors, initially supported by local governments, can successfully boost the uptake of renewable energy up to 80% of total generation; SLES scale-up significantly erodes the market share and profitability of incumbent utilities, however national level agents are still key for capital-intensive low carbon plants; Demand-side response facilitates balancing electricity supply and demand, but it can result in non-optimal policy agents postponing required incentives for heterogeneous investor agents to build new low carbon plants; National carbon prices (in conjunction with local SLES and technology support mechanisms) are needed to maintain overall system stability. Therefore, understanding the critical role of non-optimal investor decision making is key to fully understand the drivers and implications of a rapid scale-up of SLES.
Type: | Article |
---|---|
Title: | The influences of non-optimal investments on the scale-up of smart local energy systems in the UK electricity market |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.enpol.2022.113241 |
Publisher version: | https://doi.org/10.1016/j.enpol.2022.113241 |
Language: | English |
Additional information: | © 2022 The Authors. Published by Elsevier Ltd. under a Creative Commons license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | Long-term decarbonisation, Electricity market, Smart local energy system (SLES), Non-optimal decision making, Investor heterogeneity, Agent-based model (ABM) |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10156378 |
Archive Staff Only
![]() |
View Item |