详细信息

Humans-in-the-Building: Getting Rid of Thermostats in Comfort-Based Energy Management Control Systems  ( EI收录)  

文献类型:期刊文献

英文题名:Humans-in-the-Building: Getting Rid of Thermostats in Comfort-Based Energy Management Control Systems

作者:Wang, Jiali[1,2,3];Tang, Yang[1,2];Schenato, Luca[3]

机构:[1]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Univ Padua, Dept Informat Engn, I-35131 Padua, Italy

年份:2024

卷号:8

起止页码:1493

外文期刊名:IEEE CONTROL SYSTEMS LETTERS

收录:EI(收录号:20242516278672);WOS:【ESCI(收录号:WOS:001258855400008)】;

基金:This work was supported in part by the National Natural Science Foundation of China under Grant 62293502, Grant 62233005, and Grant 62293504; in part by the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017; and in part by the Fundamental Research Funds for the Central Universities under Grant 222202417006.

语种:英文

外文关键词:Humans-in-the-building; thermal comfort; real-time; discomfort signals; building energy consumption

摘要:The Energy Management Control Systems present in today's Building Automation Systems (BASs) typically adopt thermostats, potentially integrated with humidity, CO2, and occupancy sensors, to regulate internal temperature within a predefined range to optimize energy consumption. However direct feedback of occupants' personal comfort is rarely considered. Differently, this letter proposes a new thermal control paradigm, referred to as "humans-in-the-buildings", where individuals can directly signal their discomfort to the energy management system which thus adjusts the HVAC control inputs accordingly. We provide a mathematical formulation for this novel comfort-based control and demonstrate that neither temperature sensors nor knowledge of the occupants' discomfort profiles is required, as each room's temperature is regulated based solely on the real-time discomfort signals from individuals. Finally, the effectiveness of the proposed comfort-based control is substantiated through simulations conducted on multiple adjacent rooms established building dynamics modeling.

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