摘要
含水层储能(Aquifer Thermal Energy Storage,缩写为ATES)系统因其良好的储热能力和经济性受到国内外学者的广泛关注,其中含水层储热系统中运行参数和布井参数的设置直接影响储热效果,如何优化参数获得最佳工艺方案,对于推广储热工程现场应用具有重要意义。为此,以浅层含水层储热性能作为优化目标,通过灰色关联度方法对比关键参数对储热性能的影响程度,采用多目标优化方法得到最佳储热方案。研究结果表明:①注入温度与含水层之间温差较大会削弱系统储热能力,同类型储热井之间的热干扰反而有利于储热性能;②含水层厚度和布井数量对热损失率影响较大,而注入排量和井距对热回收率影响较大,注入温度对二者的影响最小;③注入温度25℃、含水层厚度106.597 m、注入排量30 kg/s的单井系统为最佳储热方案。结论认为:①关键参数对热损失和热回收的影响程度不同,为提高储热性能有必要对二者进行均衡优化;②优化方案有效扩大了储热体积,减少了热损失同时提高了热回收,使整个系统热损失率和热回收率分别在原有基础上优化了12.69%和3.19%,可为ATES系统的合理设计提供参考。
The operation parameters and well layout parameters of aquifer thermal energy storage(ATES)system directly influence the thermal energy storage performance.How to optimize the parameters to obtain the optimal process scheme is of great significance to promote the field application of ATES.Taking the thermal storage performance of shallow aquifer as the optimization objective,this paper compares the influence degrees of key factors on thermal storage performance by means of gray correlation analysis(GCA),and prepares the optimal thermal storage scheme by using the multi-objective optimization method.The following results are obtained.First,the great difference between inlet temperature and aquifer weakens the thermal storage capacity of the system,while the thermal interference between thermal storage wells of the same type is favorable for thermal storage capacity instead.Second,aquifer thickness and well number have a greater impact on the heat loss efficiency,while injection rate and well spacing have a significant influence on the thermal recovery efficiency.The inlet temperature has the least effect on both of them.Third,the optimal thermal storage scheme is the single well system with inlet temperature of 25℃,aquifer thickness of 106.597 m and injection rate of 30 kg/s.In conclusion,the influence degrees of the key parameters on heat loss efficiency and thermal recovery efficiency are different,so in order to improve the thermal storage performance,equilibrium optimization is necessary between both of them.In addition,the optimization scheme effectively expands the thermal storage volume,and reduces the heat loss while improving the thermal recovery,with heat loss efficiency and thermal recovery efficiency of the whole system optimized by 12.69%and 3.19%respectively on the basic case,which can provide a reference for the rational design of ATES system.
作者
石宇
崔启亮
杨子江
宋先知
刘庆
林天懿
SHI Yu;CUI Qiliang;YANG Zijiang;SONG Xianzhi;LIU Qing;LIN Tianyi(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu,Sichuan 611756,China;Key Laboratory of Shallow Geothermal Energy,Ministry of Natural Resources,Beijing 100195,China;State Key Laboratory of Petroleum Resources and Prospecting//China University of Petroleum-Beijing,Beijing 102249,China;Beijing Institute of Geothermal Research,Beijing 102218,China)
出处
《天然气工业》
EI
CAS
CSCD
北大核心
2023年第6期156-168,共13页
Natural Gas Industry
基金
国家自然科学基金青年基金(编号:52104034)
自然资源部浅层地热能重点实验室开放课题(编号:KLSGE202301-05)
西南交通大学新型交叉学科培育基金(编号:2682022KJ034)。
关键词
地热能
ATES
数值模拟
灰色关联度分析
多目标优化
热回收率
热损失率
参数敏感性分析
Geothermal energy
Aquifer thermal energy storage(ATES)
Numerical simulation
Gray correlation analysis
Multi-objective optimization
Thermal recovery efficiency
Heat loss efficiency
Parameter sensitivity analysis
