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In the process of mine exploration and production, energy consumption loads such as drilling rigs and ventilation are intertwined with building heating and hot water loads, and the mining area is rich in resources such as mine water waste heat and associated gas. Traditional energy scheduling methods are difficult to effectively deal with them. Therefore, an optimal scheduling model of mine integrated energy system (MIES) integrating photothermal power station and multi-source heat pump was proposed to improve energy efficiency and low-carbon level. The photothermal molten salt heat storage and multi-source heat pump group work together to build an electric-thermal collaborative supply network that adapts to the rhythm of mine production, and the multi-objective particle swarm optimization algorithm was introduced to optimize the economy and low carbon of the system. The results show that the weekly operating cost of the mine energy system is reduced to 331 700 yuan, the total carbon emission is 39.44 t, and the renewable energy consumption rate reaches 92.54%. The system effectively ensures stable heating in the mining area, with temperature fluctuations controlled within ±1.2 ℃. The utilization rate of the photothermal heat storage device reaches 92.17%, and the average coefficient of performance of the heat pump group rises to 4.47. The proposed model can fully integrate and utilize multi-energy sources in mining areas, effectively improving the economic and environmental benefits of the mine production system, and providing crucial technical support for the construction of green mines.

, authors=Zhi Liu¹, Yuyang Zhai², authorsList=Zhi Liu, Yuyang Zhai, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321895070186459837, articleId=1321895069771223739, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=矿区勘探与生产用能条件下的光热耦合综合能源调度模型, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=

矿山勘探生产过程中，钻机、通风等能耗负荷与建筑采暖、热水负荷交织，且矿区富含矿井水余热、伴生气体等资源，传统能源调度方法难以有效应对。为此，提出了一种融合光热电站与多源热泵的矿山综合能源系统（MIES）优化调度模型，以提升能效与低碳化水平。将光热熔盐储热与多源热泵群协同工作，构建适应矿山生产节奏的电-热协同供应网络，并引入多目标粒子群优化算法对系统的经济性与低碳性进行优化。结果表明，该矿山能源系统周运行成本降至33.17万元；碳排放总量为39.44 t；可再生能源消纳率达92.54%。该系统有效保障了矿区供热稳定，温度波动控制在±1.2 ℃；光热储热装置利用率达92.17%，热泵群平均性能系数提升至4.47。所述模型能充分整合利用矿区多源能源，有效提升矿山生产系统的经济与环保效益，为绿色矿山建设提供关键技术支撑。

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刘志（1977—），男，江苏镇江人，硕士，副教授，主要研究方向为地学研究。E-mail:hdoy452@126.com

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刘志（1977—），男，江苏镇江人，硕士，副教授，主要研究方向为地学研究。E-mail:hdoy452@126.com

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