Research on the role of small reactors in integrated energy systems

doi:10.3969/j.issn.1674-1951.2021.04.007

Abstract

Abstract:

Currently, there is lack of clean and efficient heat sources in northern cities of China.Small reactor can take the pivotal role in an nuclear-wind-photovoltaic integrated energy system for its stability and reliability. This system has small initial investment, low site-selection cost, wide distribution area, short construction period, flexible function selection, strong adaptability, passive safety and so on. Artificial Intelligence network and big data can be used to optimize the system planning. Taking active modeling, simulation and experimentation, and combining active safty with passive safty, the coupling and safety of the system can be ensured.The system comprehensively utilizes electricity, gas, heat, and cold energy ,and its performance can be evaluated from the technology, social and economic benefits of the integrated energy system.With continuous innovation of technologies,taking advantages of distributed energy, a more flexible and interconnected integrated energy system can be built to facilitate the carbon neutrality.

Key words: small reactor, integrated energy system, passive safety, distributed energy, carbon peak, carbon neutrality, clean heat supply, big data

CLC Number:

TK01⁺9：TL48

ZHOU Tao, ZHANG Hailong, LIU Wenbin. Research on the role of small reactors in integrated energy systems[J]. Huadian Technology, 2021, 43(4): 39-46.

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技术	特点
小堆技术	增强系统稳定性和可靠性
因地制宜的多元能源结构	优先可再生能源和能源立体发展
核风光能综合利用	增强系统适配和灵活性
综合运用人工智能技术	提高系统可靠性和智能化水平
利用各种优势互补能源载体	实现智能高效的有序配置
能源全生命周期管理	达到现代能源体系的优化

技术	经济性
小堆技术	提高品质
因地制宜的多元能源结构	降低成本
电、气、热、冷、储联产协同模式	节约成本
核风光能综合	提升效率
能源全生命周期管理	提质增效

技术	社会性
应用小堆技术	减少二氧化碳排放量是驱动
核风光能综合	可持续、效率是目标
应用网络技术	互联共享是核心
分布式多联产网络	研究与创新是支撑
应用智能技术	用户的双重角色和主动参与是特色
应用多类交叉技术	创造就业机会和社会效益是红利

因素	内容
时间方面	既要考虑传输速度极快的环节（电力系统）,又要考虑传输速度慢、具有较大时延的环节（燃气、热力等管道系统）。
空间方面	既要考虑单一能源环节内部的动态,也要考虑不同能源环节的相互影响;既要考虑能源在区域大范围内的平衡和互济,也要考虑能源在局部的优化与消纳。
行为方面	既要考虑系统的连续环节的影响,也要考虑大量的不连续（如跃变、切换等）环节的影响;既要考虑可量化因素的影响,也要考虑不可量化因素的影响。

影响因素	计算方法
可量化的因素（成本、回报率）	灵敏度计算分析法
难以量化的因素（用户舒适度、满意度）	神经网络研究领域的信息传递技术
无法量化的因素（社会效应、环境因素）	多场景协同评价方法