A novel control strategy for optimizing combined cooling, heating, and power systems with energy storage devices in commercial buildings

被引:0
|
作者
Jung, Juneyeol [1 ]
Kim, Daneun [1 ]
Jung, Yujun [2 ]
Jun, Yongjoo [1 ]
Heo, Yeonsook [3 ]
Lee, Hoseong [1 ]
机构
[1] Korea Univ, Dept Mech Engn, 409 Innovat Hall Bldg, Seoul, South Korea
[2] KIMM, Heat Pump Res Ctr, Daejeon 34103, South Korea
[3] Korea Univ, Sch Civil Architectural & Environm Engn, 335 Engn Bldg, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Distributed energy system; Energy storage device; Control strategy; Solid oxide fuel cell; Heat-to-power ratio; OXIDE FUEL-CELLS; CCHP SYSTEMS; OPERATION STRATEGY; NATURAL-GAS; OPTIMIZATION; PERFORMANCE; PUMP; DEMANDS; DESIGN; MODEL;
D O I
10.1016/j.enconman.2025.119517
中图分类号
O414.1 [热力学];
学科分类号
摘要
The prime mover within a combined cooling, heating, and power system is responsible for supplying the dominant energy to a building and satisfying energy demands neither insufficiently nor excessively according to the control strategy applied to the system. However, there are extremely limited control strategies that consider the dedicated heat-to-power ratio and include multiple energy storage devices in the control domain for prime mover and renewable energy systems. The present study proposes an innovative control strategy that controls the user's energy demand to precisely match the heat-to-power ratio between the energy demand and supply hourly and maintain a specific stored energy level of active energy storage devices through control mode differentiation. This control allows for the maximum utilization of energy produced by prime mover and renewable energy systems, thereby improving overall system performance. The solid oxide fuel cell-based combined cooling, heating, and power system coupled with the developed control strategy exhibits the best system performance and the highest system utilization rate with the lowest reliance on supplemental energy sources and the lowest wasted energy compared to the baseline control strategy. In addition, it reduces the primary energy consumption, carbon dioxide emissions, and annual total costs by 52.4%, 49.0%, and 13.3%, respectively, compared to the conventional system. Finally, the performance of the new control strategy is examined with different building and prime mover types, and it still exhibits advantages over the baseline control strategy.
引用
收藏
页数:24
相关论文
共 50 条
  • [41] ENERGY EFFICIENCY OF EXISTING BUILDINGS: OPTIMIZATION OF BUILDING COOLING, HEATING AND POWER (BCHP) SYSTEMS
    Pagliarini, Giorgio
    Rainieri, Sara
    Vocale, Pamela
    ENERGY & ENVIRONMENT, 2014, 25 (08) : 1423 - 1438
  • [42] Energy and peak power savings potential of radiant cooling systems in US commercial buildings
    Stetiu, C
    ENERGY AND BUILDINGS, 1999, 30 (02) : 127 - 138
  • [43] Energy and peak power savings potential of radiant cooling systems in US commercial buildings
    Lawrence Berkeley Natl. Laboratory, Berkeley, CA 94720, United States
    Energy Build., 2 (127-138):
  • [44] Synergistic optimal operation for a combined cooling,heating and power system with hybrid energy storage
    Yi YAN
    Chenghui ZHANG
    Ke LI
    Xiaopeng HAI
    ScienceChina(InformationSciences), 2018, 61 (11) : 8 - 10
  • [45] The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid
    Wang, Haixin
    Mu, Siyu
    Cui, Haoqian
    Yang, Zihao
    Cheng, Shanshan
    Li, Jiling
    Li, Yanzhen
    Yang, Junyou
    ENERGY REPORTS, 2023, 9 : 567 - 574
  • [46] Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage
    Yi Yan
    Chenghui Zhang
    Ke Li
    Xiaopeng Hai
    Science China Information Sciences, 2018, 61
  • [47] Optimal Capacity Design for Solar Combined Cooling Heating and Power System with Energy Storage
    Tao, Yubo
    Hao, Baoxin
    Chen, Xuan
    Chen, Hao
    Shi, Jing
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [48] The capacity optimization of the battery energy storage system in the combined cooling, heating and power microgrid
    Wang, Haixin
    Mu, Siyu
    Cui, Haoqian
    Yang, Zihao
    Cheng, Shanshan
    Li, Jiling
    Li, Yanzhen
    Yang, Junyou
    ENERGY REPORTS, 2023, 9 : 567 - 574
  • [49] Synergistic optimal operation for a combined cooling, heating and power system with hybrid energy storage
    Yan, Yi
    Zhang, Chenghui
    Li, Ke
    Hai, Xiaopeng
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (11)
  • [50] Design and Optimization of Combined Cooling, Heating, and Power Microgrid with Energy Storage Station Service
    Ning, Nan
    Liu, Yu-Wei
    Yang, Hai-Yue
    Li, Ling-Ling
    SYMMETRY-BASEL, 2022, 14 (04):