Simulation of Precooling Strategies in Office Buildings: Deriving Demand Side Management Potentials

被引:0
|
作者
Muller, Jonas [1 ]
Meyer, Martin [1 ]
Reiter, Ulrich [1 ]
Jakob, Martin [1 ]
机构
[1] TEP Energy GmbH, Zurich, Switzerland
基金
欧盟地平线“2020”;
关键词
THERMAL MASS;
D O I
10.26868/25222708.2019.210808
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Currently, load profile simulations for cooling loads in buildings are focusing on very specific subsets of temperature profiles and locations. This study aims to broaden the picture and to evaluate several load shifting (LS) strategies and compare them to the electrical load of conventional cooling during peak hours. Additionally, indoor temperature and load profiles of different service sector buildings (light and heavy mass buildings) are simulated for different LS strategies. Results are calculated by means of the building simulation software IDA ICE. Simulations for different locations in Europe will demonstrate the shifting potential under differing climate conditions.
引用
收藏
页码:2982 / 2989
页数:8
相关论文
共 50 条
  • [11] Demand side flexibility coordination in office buildings: A framework and case study application
    Aduda, K. O.
    Labeodan, T.
    Zeiler, W.
    Boxem, G.
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2017, 29 : 139 - 158
  • [12] An Overview of Residential Demand Side Management Strategies
    Cherukuri, S. Hari Charan
    Saravanan, B.
    Arunkumar, G.
    [J]. 2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2019,
  • [13] Demand Side Focused Simulation Platform for the Evaluation of Demand Side Management Approaches
    Dittawit, Kornschnok
    Aagesen, Finn Arve
    [J]. 2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,
  • [14] Minimizing energy costs of commercial buildings by integrating demand side and supply side strategies
    Saurav, Kumar
    Arya, Vijay
    [J]. E-ENERGY'18: PROCEEDINGS OF THE 9TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, 2018, : 386 - 387
  • [15] Combined energy hub optimisation and demand side management for buildings
    Batic, Marko
    Tomasevic, Nikola
    Beccuti, Giovanni
    Demiray, Turhan
    Vranes, Sanja
    [J]. ENERGY AND BUILDINGS, 2016, 127 : 229 - 241
  • [16] Impact of energy storage in buildings on electricity demand side management
    Qureshi, Waqar A.
    Nair, Nirmal-Kumar C.
    Farid, Mohammad M.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (05) : 2110 - 2120
  • [17] Estimating Demand Side Management Impacts on Buildings in Smart Grid
    Puradbhat, Sumedh
    Banerjee, Rangan
    [J]. 2014 IEEE INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2014, : 635 - 640
  • [18] Model predictive control for demand side management in buildings: A survey
    Farrokhifar, Meisam
    Bahmani, Hamidreza
    Faridpak, Behdad
    Safari, Amin
    Pozo, David
    Aiello, Marco
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2021, 75
  • [19] The influence of shading control strategies on the visual comfort and energy demand of office buildings
    Yun, Gyeong
    Yoon, Kap Chun
    Kim, Kang Soo
    [J]. ENERGY AND BUILDINGS, 2014, 84 : 70 - 85
  • [20] Housing preferences for adaptive re-use of office and industrial buildings: Demand side
    Glumac, Brano
    Islam, Nizamul
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2020, 62