A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems

被引:19
|
作者
Zhang, Yajie [1 ]
Vand, Behrang [2 ]
Baldi, Simone [1 ,3 ]
机构
[1] Southeast Univ, Sch Math, Frontiers Sci Ctr Mobile Informat Commun & Secur, Nanjing 211189, Peoples R China
[2] Edinburgh Napier Univ, Sch Engn & Built Environm, Edinburgh EH11 4BN, Midlothian, Scotland
[3] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands
关键词
building; mathematical modeling; building physics; building energy systems; energy management system; RULE-BASED CONTROL; SOURCE HEAT-PUMP; DEMAND-SIDE MANAGEMENT; PASSIVE CHILLED BEAM; HVAC CONTROL-SYSTEMS; PREDICTIVE CONTROL; THERMAL COMFORT; PERFORMANCE ANALYSIS; CONTROL STRATEGY; ABSORPTION CHILLERS;
D O I
10.3390/buildings12020238
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the building performance. In the state-of-the-art, building performance analysis is separated into building simulation and control management: this may cause inaccuracies and extra operating time. Thus, a coherent framework to integrate building physics with various energy technologies and energy control management methods is highly required. This framework should be formed by simplified but accurate models of building physics and building energy technologies, and should allow for the selection of proper control strategies according to the control objectives and scenarios. Therefore, this paper reviews the fundamental mathematical modeling and control strategies to create such a framework. The mathematical models of (i) building physics and (ii) popular building energy technologies (renewable energy systems, common heating and cooling energy systems and energy distribution systems) are first presented. Then, it is shown how the collected mathematical models can be linked. Merging with two frequently used EMS strategies, namely rule-based and model predictive controls, is discussed. This work provides an extendable map to model and control buildings and intends to be a foundation for building researchers, designers and engineers.
引用
收藏
页数:33
相关论文
共 50 条
  • [41] Energy management for stationary electric energy storage systems: A systematic literature review
    Weitzel, Timm
    Glock, Christoph H.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2018, 264 (02) : 582 - 606
  • [42] Optimal Energy Management of Hydrogen Energy Facility Using Integrated Battery Energy Storage and Solar Photovoltaic Systems
    Abomazid, Abdulrahman M.
    El-Taweel, Nader A.
    Farag, Hany E. Z.
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2022, 13 (03) : 1457 - 1468
  • [43] A versatile energy management system for large integrated cooling systems
    Du Plessis, Gideon Edgar
    Liebenberg, Leon
    Mathews, Edward Henry
    Du Plessis, Johan Nicolaas
    ENERGY CONVERSION AND MANAGEMENT, 2013, 66 : 312 - 325
  • [44] An integrated computational environment for management and analysis of electrical energy systems
    Zampieri, AV
    Manzoni, A
    Feijo, WL
    Lemos, FAB
    Jeffman, J
    2004 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA, 2004, : 827 - 832
  • [45] Prediction models and their role in advanced energy management systems supporting energy flexibility services
    Uremović N.
    Lukač N.
    Sukic P.
    Štumberger G.
    Renewable Energy and Power Quality Journal, 2023, 21 : 565 - 569
  • [46] A System Identification Approach for Building Forecast Models of Green Energy Systems
    Danila, Adrian
    Popa, Luminita
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ENVIRONMENTAL AND GEOLOGICAL SCIENCE AND ENGINEERING, 2009, : 158 - 163
  • [47] Identifying the validity domain of machine learning models in building energy systems
    Raetz, Martin
    Henkel, Patrick
    Stoffel, Phillip
    Streblow, Rita
    Mueller, Dirk
    ENERGY AND AI, 2024, 15
  • [48] Nuclear and renewables in multipurpose integrated energy systems: A critical review
    El-Emam, Rami S.
    Constantin, Alina
    Bhattacharyya, Rupsha
    Ishaq, Haris
    Ricotti, Marco E.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 192
  • [49] A Review of Energy Management Systems and Organizational Structures of Prosumers
    Misljenovic, Nemanja
    Znidarec, Matej
    Knezevic, Goran
    Sljivac, Damir
    Sumper, Andreas
    ENERGIES, 2023, 16 (07)
  • [50] Home energy management systems: A review of modelling and complexity
    Beaudin, Marc
    Zareipour, Hamidreza
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 45 : 318 - 335