以上海某酒店的太阳能“冷-热-电”联供系统为研究对象,构建以运维成本最低为目标,以能源供需平衡、设备功率限制和用水定额限制为主要约束的系统协同运行优化模型,探究不同用水定额下系统的最优运行方案。结果表明,用水定额对设备出力和系统总成本均有不同程度的影响。在牺牲系统经济性的前提下,可在一定程度上减少系统的耗水量,有效保护水资源。
Abstract
In this research, selecting a five-star hotel in Shanghai as a case study, a synergetic operation optimization model for combining the cooling, heating, and power system with solar energy was formulated. It aims to realize the minimization of operation and maintenance cost, with the constraints of the balance between energy supply and demand, equipment’s capacity and water quota. The obtained results presented as the operational strategy under various water quota demonstrated that, the water quota exerted the influence on total cost of entire system and power output of equipment. The water-consumption reduction and water-resource protection are realized at the expense of system economy.
关键词
太阳能 /
水资源 /
优化 /
冷热电联供 /
酒店
Key words
solar energy /
water resources /
optimization /
CCHP /
hotel
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 黄钰. 安徽省水—能耦合关系与作用机制研究[D]. 南京: 南京大学, 2019.
HUANG Y.Water-energy nexus relationship and action mechanism in Anhui province[D]. Nanjing: Nanjing University, 2019.
[2] FACCI A L, ANDREASSI L, UBERTINI S.Optimization of CHCP(combined heat power and cooling)systems operation strategy using dynamic programming[J]. Energy, 2014, 66: 387-400.
[3] LU S L, LI Y W, XIA H W.Study on the configuration and operation optimization of CCHP coupling multiple energy system[J]. Energy conversion and management, 2018, 177: 773-791.
[4] YANG G, ZHAI X Q.Optimization and performance analysis of solar hybrid CCHP systems under different operation strategies[J]. Applied thermal engineering, 2018, 133: 327-340.
[5] JU L W, TAN Z F, LI H H,et al.Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China[J]. Energy, 2016, 111: 322-340.
[6] 周萍, 刘蕾, 李鑫, 等. 医院燃气冷热电三联供系统运行模式研究[J]. 能源与节能, 2012(12): 23-27.
ZHOU P, LIU L, LI X, et al.Case Study of a hospital gas CCHP System operating model[J]. Energy and energy conservation, 2012(12): 23-27.
[7] 王长浩, 刘洋, 许立雄. 考虑风电和负荷不确定冷热电联供微网日前经济调度[J]. 中国电力, 2020, 53(8): 50-59.
WANG C H, LIU Y, XU L X, et al.Day-ahead economic dispatch for a combined cooling, heat and power microgrid system considering wind power and load uncertainty[J]. Electric power, 2020, 53(8): 50-59.
[8] 张鹏. 含光伏微源的冷热电联供型微网优化调度研究[D]. 成都: 西华大学, 2019.
ZHANG P.Research on optimal scheduling of CCHP microgrid with photovoltaic source[D]. Chengdu: Xihua University, 2019.
[9] 林舜江, 杨智斌, 卢苑, 等. 含光伏的天然气冷热电联供园区微网能量优化调度[J]. 华南理工大学学报(自然科学版), 2019, 47(3): 9-19.
LIN S J, YANG Z B,LU Y,et al.Optimal energy scheduling of photovoltaic natural gas,cooling,heating and power co-supply park micro-network[J]. Journal of South China University of Technology(natural science edition), 2019, 47(3): 9-19.
[10] SUN L, PAN B L, GU A, et al.Energy-water nexus analysis in the Beijing-Tianjin-Hebei region: case of electricity sector[J]. Renewable and sustainable energy reviews, 2018, 93: 27-34.
[11] JI L, ZHANG B B, HUANG G H, et al.A novel multi-stage fuzzy stochastic programming for electricity system structure optimization and planning with energy-water nexusBa case study of Tianjin, China[J]. Energy, 2020,190: 1-13.
[12] ZHANG X D, V V V. Energy-water nexus: balancing the tradeoffs between two-level decision makers[J]. Applied energy, 2016, 183: 77-87.
[13] DING T,LIANG L, ZHOU K L, et al.Water-energy nexus: the origin, development and prospect[J]. Ecological modelling, 2020, 419: 1-11.
基金
国家自然科学基金面上项目（62073134）
PDF(1712 KB)
