Journal of Appliance Science & Technology ›› 2025, Vol. 0 ›› Issue (zk): 200-205.doi: 10.19784/j.cnki.issn1672-0172.2025.99.041

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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

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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