Sustainable power system transition pathways: Regional decarbonization and resource conservation aided by small modular reactors

Clean energy technologies offer promising pathways for low-carbon transitions, yet their feasibility remains uncertain, particularly in rapidly developing regions. This study develops a Factorial Multi-Stochastic Optimization-driven Equilibrium (FMOE) model to assess the economic and environmental impacts of clean power deployment. Using Small Modular Reactors (SMRs) in Guangdong, China, as a case study, the model reveals that SMRs can reduce system costs and alleviate GDP losses, supporting provincial-level Nationally Determined Contributions (NDCs). If offshore wind capital costs fall to 40 % of SMRs’, SMR deployment may no longer be necessary after 2030. Otherwise, SMRs could supply 22 % of capacity by 2040. The FMOE model provides a robust, adaptable framework for evaluating emerging technologies under uncertainty and supports sustainable power planning across diverse regional contexts. This study offers valuable insights into the resource and economic implications of clean energy strategies, contributing to global carbon neutrality and efficient energy system design.

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Publication Details

Journal
Resources Conservation and Recycling
Published
2025-10-28
DOI
https://doi.org/10.1016/j.resconrec.2025.108649
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

Sustainable power system transition pathways: Regional decarbonization and resource conservation aided by small modular reactors

Lirong Liu, Sichen Gao, David Z. Zhu, Dengcheng Han
1 citations
Resources Conservation and Recycling
Integrated Energy Systems Optimization
0.73
article

Sustainable power system transition pathways: Regional decarbonization and resource conservation aided by small modular reactors

Lirong Liu, Sichen Gao, David Z. Zhu, Dengcheng Han
article en
1 citations

Abstract

Clean energy technologies offer promising pathways for low-carbon transitions, yet their feasibility remains uncertain, particularly in rapidly developing regions. This study develops a Factorial Multi-Stochastic Optimization-driven Equilibrium (FMOE) model to assess the economic and environmental impacts of clean power deployment. Using Small Modular Reactors (SMRs) in Guangdong, China, as a case study, the model reveals that SMRs can reduce system costs and alleviate GDP losses, supporting provincial-level Nationally Determined Contributions (NDCs). If offshore wind capital costs fall to 40 % of SMRs’, SMR deployment may no longer be necessary after 2030. Otherwise, SMRs could supply 22 % of capacity by 2040. The FMOE model provides a robust, adaptable framework for evaluating emerging technologies under uncertainty and supports sustainable power planning across diverse regional contexts. This study offers valuable insights into the resource and economic implications of clean energy strategies, contributing to global carbon neutrality and efficient energy system design.

Resources Conservation and RecyclingVol. 226
Ningbo University (CN), University of Alberta (CA), University of Regina (CA), University of Surrey (GB)
Openalex Percentile: Top 22%
Integrated Energy Systems Optimization
0.73
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Sustainable power system transition pathways: Regional decarbonization and resource conservation aided by small modular reactors — Lirong Liu, Sichen Gao, et al. · Resources Conservation and Recycling (2025) | TGRS Research Map | TGRS