Management of cooling energy through building controls for thermal comfort and relative performance in an office building

被引:7
|
作者
Kwak, Younghoon [1 ]
Huh, Jung-Ho [2 ]
机构
[1] Kyonggi Univ, Sch Architecture, Suwon, South Korea
[2] Univ Seoul, Dept Architectural Engn, Seoul, South Korea
关键词
AIR-TEMPERATURE; OPTIMIZATION; PRODUCTIVITY; SIMULATION; QUALITY; DESIGN; MODEL;
D O I
10.1080/23744731.2018.1503033
中图分类号
O414.1 [热力学];
学科分类号
摘要
This study aims to improve the thermal environment of buildings and their occupants' relative performance (RP) by having buildings exploit energy for cooling from energy saved when building controls are in place. Many countries restrict indoor set-point temperatures based on energy-saving policies, although such restrictions can compromise occupants' thermal comfort and, in turn, their RP. This study first sets the existing building energy consumption, which limits indoor temperature settings in accordance with energy-saving policies, to baseline. The study then proposes a method to find an optimal hourly set-point temperature that represents the same energy consumption as the baseline-an optimal indoor-temperature-setting method that improves the RP of occupants while keeping the same energy consumption as the baseline. In this study, the time (hour) included in the thermal comfort range has increased from 0 h to 2 h, which consequently improved RP by 0.2% to 0.4%. This result indicates that the proposed approach is a cost-effective way to improve the RP of occupants without the additional consumption of energy by their buildings. The approach is ultimately applicable to building energy management systems as a method to improve the RP of occupants in buildings in which additional energy consumption relative to existing energy consumption presents a challenge.
引用
收藏
页码:139 / 148
页数:10
相关论文
共 50 条
  • [21] Impact of building design and occupancy on office comfort and energy performance in different climates
    Roetzel, Astrid
    Tsangrassoulis, Aris
    Dietrich, Udo
    BUILDING AND ENVIRONMENT, 2014, 71 : 165 - 175
  • [22] Identifying relative importance of solar design determinants on office building facade for cooling loads and thermal comfort in hot-humid climates
    Hwang, Ruey-Lung
    Chen, Wei -An
    BUILDING AND ENVIRONMENT, 2022, 226
  • [23] Virtual Building Dataset for energy and indoor thermal comfort benchmarking of office buildings in Greece
    Nikolaou, T.
    Skias, I.
    Kolokotsa, D.
    Stavrakakis, G.
    ENERGY AND BUILDINGS, 2009, 41 (12) : 1409 - 1416
  • [24] Energy and thermal comfort management in a smart building facilitating a microgrid optimization
    Thomas, Dimitrios
    Bagheri, Ali
    Feldheim, Veronique
    Deblecker, Olivier
    Ioakimidis, Christos S.
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 3621 - 3626
  • [25] Evaluation of thermal comfort in a historic building refurbished to an office building with modernized HVAC systems
    Bakhtiari, H.
    Akander, J.
    Cehlin, M.
    ADVANCES IN BUILDING ENERGY RESEARCH, 2020, 14 (02) : 218 - 237
  • [26] Impact of Realistic Controls on Building Energy Consumption and Comfort
    Brahme, Rohini
    Mukundan, Aswath
    Goel, Rakesh
    PROCEEDINGS OF BUILDING SIMULATION 2019: 16TH CONFERENCE OF IBPSA, 2020, : 948 - 955
  • [27] An experimental study of thermal performance of the radiant ceiling cooling in office building in Thailand
    Aryal, Ashmin
    Chaiwiwatworakul, Pipat
    Chirarattananon, Surapong
    ENERGY AND BUILDINGS, 2023, 283
  • [28] Personalized Thermal Comfort Model for a Multiple Occupancy Office Building
    Patchava, Raviteja
    Lee, JeeHee
    COMPUTING IN CIVIL ENGINEERING 2023-RESILIENCE, SAFETY, AND SUSTAINABILITY, 2024, : 824 - 830
  • [29] MUCOSAL IRRITATION AND THERMAL COMFORT AMONG OCCUPANTS OF AN OFFICE BUILDING
    HALL, HI
    LEADERER, BP
    CAIN, WS
    FIDLER, AT
    ENVIRONMENT INTERNATIONAL, 1993, 19 (03) : 253 - 259
  • [30] Building Energy Use Modes and Thermal Comfort
    Amasyali, Kadir
    El-Gohary, Nora
    COMPUTING IN CIVIL ENGINEERING 2017: INFORMATION MODELLING AND DATA ANALYTICS, 2017, : 350 - 358