Daylighting and energy consumption in museums and bridging the gap by multi-objective optimization

被引:0
|
作者
Ismail, Mohamed Mostafa R. [1 ,2 ]
Nessim, Ashraf [1 ]
Fathy, Fatma [1 ]
机构
[1] Ain Shams Univ, Dept Architecture, Cairo, Egypt
[2] Ain Shams Univ, Fac Archeol, Dept Architectural Heritage Restorat & Conservat, Cairo, Egypt
关键词
Energy; Daylighting; Architectural intervention; Smart systems; Multi-objective optimization; Museums; Sustainability;
D O I
10.1016/j.asej.2024.102944
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Museums environment is complicated and defined by indoor air quality, thermal and lighting comfort. Artifacts deterioration is factored by extreme conditions of thermal exposure or excessive lighting. With high control required for exposed old monuments and visitor comfort, museums energy systems reach extreme levels. In this paper, we aim to find the gap in museums high energy loads and reach solutions through architectural design. The paper studies comparison results for different techniques in fifty recent case studies to identify the specific factors that matter most to museum buildings. These factors are implemented simultaneously on one base model in three climatic states by multi-objective optimization. The best option will showcase each climate optimum conditions. The paper introduces optimum architectural procedures optimizing sDA and ASE to minimum 70% and maximum 10% respectively while decreasing thermal load. The results help architects and policy makers achieve daylighting and energy optimization in museums through architecture.
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Multi-objective optimization for scheduling multi-load automated guided vehicles with consideration of energy consumption
    Huo, Xiang
    He, Xiaozheng
    Xiong, Zhongxia
    Wu, Xinkai
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 161
  • [32] Solving Multi-Objective Energy Management of a DC Microgrid using Multi-Objective Multiverse Optimization
    Lagouir, Marouane
    Badri, Abdelmajid
    Sayouti, Yassine
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED, 2021, 10 (04): : 911 - 922
  • [33] Multi-objective optimization of water consumption for a methanol synthesis process
    Rafael O. Santos
    Nicole P. Barros
    Argimiro R. Secchi
    Diego M. Prata
    Clean Technologies and Environmental Policy, 2022, 24 : 1487 - 1505
  • [34] Multi-objective optimization of water consumption for a methanol synthesis process
    Santos, Rafael O.
    Barros, Nicole P.
    Secchi, Argimiro R.
    Prata, Diego M.
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2022, 24 (05) : 1487 - 1505
  • [35] Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling
    Khan, Aqib Mashood
    Jamil, Muhammad
    Salonitis, Konstantinos
    Sarfraz, Shoaib
    Zhao, Wei
    He, Ning
    Mia, Mozammel
    Zhao, GuoLong
    ENERGIES, 2019, 12 (04)
  • [36] MULTI-OBJECTIVE OPTIMIZATION OF DRYING ENERGY CONSUMPTION AND JET IMPINGEMENT FORCE ON A MOVING CURVED SURFACE
    Chitsazan, Ali
    Klepp, Georg
    Chitsazan, Mohammad Esmaeil
    Glasmacher, Birgit
    FRONTIERS IN HEAT AND MASS TRANSFER, 2022, 18
  • [37] Reducing energy consumption in operation and demolition phases by integrating multi-objective optimization with LCA and BIM
    Shadi Asgari
    Saeed Haghir
    Esmatullah Noorzai
    Energy Efficiency, 2023, 16
  • [38] A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction
    Lu, Zhe
    Lin, Shuwen
    Chen, Jianxiong
    Gu, Tianqi
    Xie, Yu
    ENERGIES, 2023, 16 (20)
  • [39] Reducing energy consumption in operation and demolition phases by integrating multi-objective optimization with LCA and BIM
    Asgari, Shadi
    Haghir, Saeed
    Noorzai, Esmatullah
    ENERGY EFFICIENCY, 2023, 16 (06)
  • [40] Multi-Objective Parameter Optimization of Fiber Laser Welding Considering Energy Consumption and Bead Geometry
    Wu, Jianzhao
    Lian, Kunlei
    Deng, Yelin
    Jiang, Ping
    Zhang, Chaoyong
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 19 (04) : 3561 - 3574