Teaching building towards carbon neutrality: Power matching and economy of source-grid-load-storage system

被引:1
|
作者
He, Yecong [1 ]
Sun, Jie [1 ]
Deng, Qi [2 ]
Zhang, Xiaofeng [1 ]
Liu, Huaican [3 ]
Wen, Ke [1 ]
Zhou, Jifei [1 ]
机构
[1] Changsha Univ Sci & Technol, Sch Energy & Power Engn, Changsha 410114, Hunan, Peoples R China
[2] TICA China Co Ltd, Nanjing 210046, Jiangsu, Peoples R China
[3] GREE Elect Appliances Inc Zhuhai, Zhuhai 519070, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Photovoltaic power generation; Air conditioning system; Storage battery; Economic analysis; Electric characteristics; Teaching building; PHOTOVOLTAIC SYSTEMS; BATTERY STORAGE;
D O I
10.1016/j.renene.2023.119264
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Air Conditioning is one of the largest uses of energy used in building operations. The combination of photovoltaic power generation and building air-conditioning is one of the important ways to realize building energy savings and emission reduction. In this context, this study uses two software, Design Builder and TRNSYS, to build college teaching buildings and equip them with centralized air conditioning systems and Photovoltaic storage (PV-storage) systems, aiming to explore the electric characteristics of college teaching buildings and the economy of PV-storage system under 36 scenarios. It provides a theoretical reference for the integrated application of centralized air conditioning "PV-storage" in teaching buildings of colleges and universities. The main results show that the system has a strong ability to match the power load, and its solar fraction is between 0.85 and 1.00. The system's payback period (PBP) is short, and the net present value (NPV) is large. Its PBP is 6.09-6.38 years, and the NPV is 2809.47-3017.04 thousand yuan. This teaching building system has a good economy while realizing energy saving and emission reduction through a simulation case study, which shows high potential for applications. In addition, in summer, reducing attendance, reducing classroom utilization (in the semester), and not setting up night self-study can reduce electricity consumption. In winter, increasing attendance, reducing classroom utilization (in the semester), and setting up night self-study can reduce electricity consumption.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Generation Expansion Planning of New Power System Considering Collaborative Optimal Operation of Source-grid-load-storage Under Carbon Peaking and Carbon Neutrality
    Wei, Xu
    Liu, Dong
    Gao, Fei
    Liu, Lu
    Wu, Yufeng
    Ye, Shu
    [J]. Dianwang Jishu/Power System Technology, 2023, 47 (09): : 3648 - 3658
  • [2] Power System Economic Planning Considering "Source-Grid-Load-Storage" Coordination Operation
    Ni, Qiulong
    Zhang, Chen
    Meng, Zhiquan
    Huang, Yixin
    Jiang, Yicheng
    Sun, Wenduo
    Zhang, Zhi
    Yang, Li
    Lin, Zhenzhi
    [J]. 2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020), 2020, : 1000 - 1004
  • [3] A Novel Source-Grid-Load-Storage Integrated Cooperative System
    Wang, Zhenyi
    Li, Wenyun
    Zhai, Suwei
    Gao, Daochun
    Li, Kai
    Xie, Hua
    Zhang, Pei
    [J]. 2023 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING, REPE 2023, 2023, : 271 - 275
  • [4] Overview of the Source-grid-load-storage Architecture and Evaluation System Under the New Power System
    Li, Jianlin
    Guo, Zhaodong
    Ma, Suliang
    Zhang, Guoqiang
    Wang, Han
    [J]. Gaodianya Jishu/High Voltage Engineering, 2022, 48 (11): : 4330 - 4436
  • [5] Low Carbon Efficiency Evaluation Index System for Source-Grid-Load-Storage Complementary Optimization
    Li, Ye
    Zhang, Tao
    Xiang, Tianchun
    Wang, Tianhao
    [J]. 2023 5TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM, AEEES, 2023, : 1689 - 1695
  • [6] Data Architecture of Source-Grid-Load-Storage Platform
    Lu, Xuegang
    Zhu, Xinchun
    Ye, Hua
    Lu, Xinchen
    Qie, Jingbiao
    Xie, Hua
    Zhang, Pei
    [J]. 2023 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING, REPE 2023, 2023, : 305 - 309
  • [7] Function Specifications of Source-Grid-Load-Storage Platform
    Lu, Xuegang
    Zhu, Xinchun
    Hu, Bin
    Dong, Shitao
    Zhang, Hongming
    Xie, Hua
    Zhang, Pei
    [J]. 2023 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND POWER ENGINEERING, REPE 2023, 2023, : 132 - 135
  • [8] Source-grid-load-storage interactive power quality characteristic of active distribution network
    Li, Yahui
    Lou, Jie
    Sun, Kaiqi
    Li, Ke-Jun
    [J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [9] Coordinated optimization of source-grid-load-storage for wind power grid-connected and mobile energy storage characteristics of electric vehicles
    Li, Yingliang
    Dong, Zhiwei
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (08) : 1528 - 1547
  • [10] A complex grid investment decision method considering source-grid-load-storage integration
    Zhang, Zheliang
    Xia, Pei
    Zhang, Xiaoxing
    [J]. FRONTIERS IN ENERGY RESEARCH, 2023, 10