Capacity Optimization and Comprehensive Evaluation of Integrated Energy System Based on Small Modular Reactor

TANG Te; JIANG Xudong; YANG Yuchen; ZHANG Yiming; WANG Chenchen; WU Xinzhuang; HAN Xiaoqu

doi:10.19805/j.cnki.jcspe.2025.250400

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Capacity Optimization and Comprehensive Evaluation of Integrated Energy System Based on Small Modular Reactor

更新时间：2026-10-10

- Capacity Optimization and Comprehensive Evaluation of Integrated Energy System Based on Small Modular Reactor
- Chinese Journal of Power Engineering Vol. 45, Issue 12, Pages: 2198-2206(2025)
- 作者机构：
  
  1. 上海核工程研究设计院股份有限公司,上海,200233
  2. 西安交通大学动力工程多相流国家重点实验室,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250400
  CLC：
- Online First：16 December 2025，
  
  Published：16 December 2025
- 稿件说明：
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唐特,姜旭东,杨宇辰,张一鸣,王晨晨,武心壮,韩小渠. 基于小型核反应堆的综合能源系统容量优化与综合评价动力工程学报, 2025, 45(12): 2198-2206 https://doi.

org/10.19805/j.cnki.jcspe.2025.250400
唐特,姜旭东,杨宇辰,张一鸣,王晨晨,武心壮,韩小渠. 基于小型核反应堆的综合能源系统容量优化与综合评价动力工程学报, 2025, 45(12): 2198-2206 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250400.

org/10.19805/j.cnki.jcspe.2025.250400 DOI：

摘要

为解决数据中心高能耗与碳排放问题

创新性地提出基于小型核反应堆的核风光储综合能源系统架构

通过耦合核能基荷特性与风光储互补性

构建了电-冷-热多能协同优化模型。引入吸收式制冷优先策略

结合经济性、能效、环境性、可靠性四目标优化框架

采用多目标猫群优化算法进行求解

并且通过优序图法和基于指标相关性权重确定(CRITIC)法进行主客观权重融合评价。结果表明:相较于传统三目标优化的吸收式制冷优先方案

四目标优化的吸收式制冷优先方案使系统净现成本增加1.2%

全生命周期碳排放量增加9.9%

系统自供电率提升1.3%

接近度为0.675 7

验证了所提出方法的有效性

为核能耦合数据中心供能提供了技术可行路径。

Abstract

To address the issues of high energy consumption and carbon emissions in data centers

an innovative nuclear-wind-solar-storage integrated energy system architecture based on small modular reactors was proposed. By coupling the base load characteristics of nuclear energy with the complementarity of wind

solar

and storage

an electrical-cooling-heating multi-energy collaborative optimization model was constructed. By introducing an absorption cooling priority strategy within a four-objective optimization framework containing economy

energy efficiency

environmental impact

and reliability

solutions were conducted by a multi-objective cat swarm optimization algorithm

and combined with the preferred-sequence graph method and criteria importance through intercriteria correlation (CRITIC) method

an evaluation was carried out based on subjective-objective weighting. Results demonstrate that

compared with the traditional three-objective optimization electrical cooling priority scheme

for the four-objective optimization absorption cooling priority scheme

the net present cost of system is increased by 1.2%

and the carbon emission during life-cycle is increased by 9.9%

the self-sufficiency rate of system is improved by 1.3%

and the approach index reaches 0.675 7. It is validated the effectiveness of the proposed method

and relevant researches can provide a technically feasible pathway for coupling nuclear energy with data centers.

关键词

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references

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