The impact of the energy crisis on the UK's net-zero transition

被引：9
作者：
Mersch, Matthias [1 ,2 ,3 ]
Markides, Christos N. [1 ,3 ]
Mac Dowell, Niall [2 ,3 ]
机构：
[1] Imperial Coll London, Dept Chem Engn, Clean Energy Proc CEP Lab, London SW7 2AZ, England
[2] Imperial Coll London, Ctr Environm Policy, London SW7 2AZ, England
[3] Imperial Coll London, Ctr Proc Syst Engn CPSE, Dept Chem Engn, London SW7 2AZ, England
来源：
ISCIENCE | 2023年 / 26卷 / 04期
基金：
英国工程与自然科学研究理事会;
关键词：
100-PERCENT RENEWABLE-ELECTRICITY; POWER-SYSTEMS; FUTURE; WIND; FEASIBILITY; SECTOR; COST; UNCERTAINTIES; INVESTMENT; REANALYSIS;
D O I：
10.1016/j.isci.2023.106491
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Recent drastic increases in natural gas prices have brought into sharp focus the inherent tensions between net-zero transitions, energy security, and affordability. We investigate the impact of different fuel prices on the energy system transition, explicitly accounting for the increasingly coupled power and heating sectors, and also incorporate the emerging hydrogen sector. The aim is to identify low-regret decisions and optimal energy system transitions for different fuel prices. We observe that the evolution of the heating sector is highly sensitive to gas price, whereas the composition of the power sector is not qualitatively impacted by gas prices. We also observe that bioenergy plays an important role in the energy system transition, and the balance between gas prices and biomass prices determines the optimal technology portfolios. The future evolution of the prices of these two resources is highly uncertain, and future energy systems must be resilient to these uncertainties.
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页数：25
相关论文
共 82 条
[41]   Impact of different time series aggregation methods on optimal energy system design [J].
Kotzur, Leander ;
Markewitz, Peter ;
Robinius, Martin ;
Stolten, Detlef .
RENEWABLE ENERGY, 2018, 117 :474-487
[42]   Investment in the energy sector: An optimization model that contemplates several uncertain parameters [J].
Laura Cunico, Maria ;
Rolando Flores, Julio ;
Vecchietti, Aldo .
ENERGY, 2017, 138 :831-845
[43]   How much can nuclear power reduce climate mitigation cost? - Critical parameters and sensitivity [J].
Lehtveer, Mariliis ;
Hedenus, Fredrik .
ENERGY STRATEGY REVIEWS, 2015, 6 :12-19
[44]   Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050 [J].
Li, Francis G. N. ;
Trutnevyte, Evelina .
APPLIED ENERGY, 2017, 189 :89-109
[45]  
Lloyd C.D., 2017, POPULATION CHANGE BR, V1
[46]   Implications of weak near-term climate policies on long-term mitigation pathways [J].
Luderer, Gunnar ;
Bertram, Christoph ;
Calvin, Katherine ;
De Cian, Enrica ;
Kriegler, Elmar .
CLIMATIC CHANGE, 2016, 136 (01) :127-140
[47]   Characterization of input uncertainties in strategic energy planning models [J].
Moret, Stefano ;
Girones, Victor Codina ;
Bierlaire, Michel ;
Marechal, Francois .
APPLIED ENERGY, 2017, 202 :597-617
[48]   Strategies against shocks in power systems - An analysis for the case of Europe [J].
Nahmmacher, Paul ;
Schmid, Eva ;
Pahle, Michael ;
Knopf, Brigitte .
ENERGY ECONOMICS, 2016, 59 :455-465
[49]  
National Grid, 2022, DAT FIND EXPL
[50]   The near-optimal feasible space of a renewable power system model [J].
Neumann, Fabian ;
Brown, Tom .
ELECTRIC POWER SYSTEMS RESEARCH, 2021, 190
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