家电科技 ›› 2025, Vol. 0 ›› Issue (zk): 200-205.doi: 10.19784/j.cnki.issn1672-0172.2025.99.041

• 第二部分 制冷与空调 • 上一篇    下一篇

光储直柔系统建筑中室内热舒适影响因素与评价方法综述

宋扬1, 汪超1,2, 贾潇雅1, 石里明1   

  1. 1.中国家用电器研究院 北京 100037;
    2.北京航空航天大学航空科学与工程学院 北京 100083
  • 发布日期:2025-12-30
  • 通讯作者: 汪超,wangch@cheari.com。
  • 作者简介:宋扬,硕士学位。研究方向:光储直柔系统用家电设备。地址:北京市西城区月坛北小街6号。E-mail:songyang@cheari.com。
  • 基金资助:
    北京市科技计划项目(课题)“居民住宅低碳柔性直流电器集成应用与示范”(Z231100006123009); 国家重点研发计划项目子课题“建筑直流机电设备工程应用与检测评价”(项目号:2022YFC3802505); 中国家用电器研究院创新项目“光储直柔系统中直流及柔性家用电器用户侧多维度/多参数测试评价研究、示范应用及市场化推广”(YC24-07)

A review of factors affecting indoor thermal comfort and evaluation methods in buildings with solar photovoltaic, energy storage, direct current and flexibility systems

SONG Yang1, WANG Chao1,2, JIA Xiaoya1, SHI Liming1   

  1. 1. China Household Electric Appliances Research Institute Beijing 100037;
    2. School of Aeronautical Science and Engineering, Beijing University of Aeronautics and Astronautics Beijing 100083
  • Published:2025-12-30

摘要: 为响应“双碳”目标,我国能源系统正加速向新型电力系统转型,光储直柔(PSDF)系统作为融合光电转换、储能、直流配电及智能控制的综合能源方案,在提升新能源消纳能力的同时,也面临建筑室内热舒适与用电功率调节的协同挑战。系统梳理了传统热舒适研究中的关键影响因素(空气温度、湿度、风速等)、影响机理及评价方法(PMV/PPD模型、问卷调查、软件模拟等),发现现有研究多聚焦于交流用电环境,缺乏对PSDF动态场景的针对性分析。进一步探讨现有PMV/PPD模型在稳态假设下的局限性,需结合供电波动率、温变速率(dT/dt)等动态参数开发瞬态热舒适指数(TTCI)。研究表明,PSDF系统虽可通过负荷柔性调节实现高效能源利用,但需建立兼顾用电策略与人体舒适度的量化评价体系,为光储直柔技术的工程应用和优化提供理论支撑。

关键词: 光储直柔, 热舒适, 电网需求响应, 舒适度评价方法, PMV

Abstract: In response to the “dual carbon” goals, China’s energy system is accelerating its transition to a new power system. The Solar photovoltaic, Energy storage, Direct current and Flexibility (PSDF) system, as an integrated energy solution combining photovoltaic conversion, energy storage, direct current distribution, and intelligent control, enhances the capacity to absorb renewable energy while also facing the challenge of coordinating indoor thermal comfort and power regulation in buildings. Systematically reviews the key influencing factors (air temperature, humidity, wind speed, etc.), underlying mechanisms, and evaluation methods (PMV/PPD models, questionnaire surveys, software simulations, etc.) in traditional thermal comfort research. It finds that existing studies primarily focus on AC power environments and lack targeted analysis of PSDF dynamic scenarios. Further exploring the limitations of existing PMV/PPD models under steady-state assumptions, it is necessary to develop a transient thermal comfort index (TTCI) by incorporating dynamic parameters such as power supply fluctuation rate and temperature change rate (dT/dt). Research indicates that while PSDF systems can achieve efficient energy utilization through flexible load regulation, it is essential to establish a quantitative evaluation system that balances power usage strategies with human comfort levels. This will provide theoretical support for the engineering application and optimization of PSDF technologies.

Key words: PSDF, Thermal comfort, Grid demand response, Comfort evaluation methods, PMV

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