Influences of usage intensity and weather on optimal building energy system design with multiple storage options

被引:2
|
作者
Henn, Sarah [1 ]
Richarz, Jan [1 ]
Maier, Laura [1 ]
Ying, Xuchao [1 ]
Osterhage, Tanja [1 ]
Mehrfeld, Philipp [1 ]
Miller, Dirk [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst Energy Efficient Bldg & Indoor Climate, Mathieustr 10, D-52074 Aachen, Germany
关键词
Non-residential buildings; Electricity demands; Storage design; Deterministic optimization; Central composite design; SENSITIVITY-ANALYSIS; ELECTRICITY CONSUMPTION; COST OPTIMIZATION; LOAD PROFILE; DEMAND; SIMULATION; MODEL; HEAT;
D O I
10.1016/j.enbuild.2022.112222
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In non-residential buildings, many factors affect thermal and electrical loads. Some of these factors are not known during the planning process but are essential for a proper energy system design.Conducting a simulation-and optimization-based sensitivity analysis, this study investigates the effects of usage intensity and weather uncertainties on building energy system sizing. We developed a toolchain that comprehensively covers the stages, from determining user-related electricity demand to thermal demand calculation and energy conversion system design, up to deterministic design optimiza-tion of storage systems. By means of design of experiments, we systematically applied the toolchain to an all-electric non-residential building as a use case.We find that weather has the strongest correlation with optimal storage sizes and the size of energy conversion systems. They are also affected by the usage intensity of certain building zones. In addition, the storage sizes influence each other in the complex building energy system of our use case. Depending on the scenario and objective, annuities deviate 6%, annual emissions deviate up to 10% from the base scenario.We conclude that normative design methods do not suffice for optimal building energy system design and offer a viable method that can be incorporated into existing planning processes.(c) 2022 Elsevier B.V. All rights reserved.
引用
收藏
页数:24
相关论文
共 50 条
  • [1] SENSITIVITY OF ENERGY USAGE TO WEATHER AND CLIMATE INFLUENCES
    SPIEGLER, DB
    NEWMAN, E
    JANOTA, P
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1978, 59 (02) : 237 - 237
  • [2] Thermoeconomic analysis of a building energy system integrated with energy storage options
    Caliskan, Hakan
    Dincer, Ibrahim
    Hepbasli, Arif
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 76 : 274 - 281
  • [3] Optimal design of an integrated renewable-storage energy system in a mixed-use building
    Culaba, Alvin B.
    Del Rosario, Aaron Jules R.
    Ubando, Aristotle T.
    Chang, Jo-Shu
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (12) : 9646 - 9658
  • [4] Implementing a hydrogen energy infrastructure: Storage options and system design
    Ogden, Joan M.
    Yang, Christopher
    [J]. LIFE-CYCLE ANALYSIS TOOLS FOR GREEN MATERIALS AND PROCESS SELECTION, 2006, 895 : 97 - +
  • [5] Optimal Design and Management of a Hybrid Energy Storage System
    Kim, Eugene
    Shin, Kang G.
    [J]. 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 4871 - 4876
  • [6] Optimal Design of Micro Flywheel Energy Storage System
    Yoo, S. Y.
    Lee, H. C.
    Noh, M. D.
    [J]. 2008 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-4, 2008, : 435 - 439
  • [7] Optimal Dispatch of Cogeneration with Thermal Energy Storage for Building Energy Management System
    Manusilp, Kebsiri
    Banjerdpongchai, David
    [J]. 2016 13TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2016,
  • [8] INVESTIGATION OF BUILDING PASSIVE THERMAL STORAGE FOR OPTIMAL HEATING SYSTEM DESIGN
    Ogunsola, Oluwaseyi
    Song, Li
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2014, VOL 8A, 2015,
  • [9] Coordinated optimal design of school building envelope and energy system
    Xu, Yizhe
    Yan, Chengchu
    Wang, Dong
    Li, Jun
    Shi, Jingfeng
    Lu, Zefeng
    Lu, Qingsong
    Jiang, Yanlong
    [J]. SOLAR ENERGY, 2022, 244 : 19 - 30
  • [10] A model for the optimal design and management of a cogeneration system with energy storage
    Stoppato, Anna
    Benato, Alberto
    Destro, Nicola
    Mirandola, Alberto
    [J]. ENERGY AND BUILDINGS, 2016, 124 : 241 - 247