针对工业设备制造中钢板脱脂用热存在高耗能和碳减排压力大的问题,提出并构建光伏/光热耦合地源热泵脱脂供热系统（PV/T-GSHPHD）并提出其运行策略。基于系统各设备能量转化模型,以经济性最优为目标,兼顾土壤热平衡和典型场景聚类分析,建立PV/T-GSHPHD优化配置模型,研究并确定系统的优选设备及其容量。结果表明：PV/T-GSHPHD应优选配置PV/T、地源热泵、集热水箱和蓄热水箱,土壤补热装置优选PV/T;与原脱脂电锅炉供热系统相比,PV/T-GSHPHD的年脱脂用热成本和年环境成本分别降低69.1%和83.3%,PV/T-GSHPHD具有显著的经济和环保优势;典型日运行特性研究展示出PV/T-GSHPHD全年对电网具有良好的日内调峰能力,在夏季其等价用电中电网供电占比仅为35%,可有效缓解夏季区域性电力供应压力。
Abstract
To address the high energy consumption and significant carbon reduction challenges in steel plate degreasing for industrial equipment manufacturing, this study proposes a novel PV/T-coupled ground-source heat pump heating system for degreasing （PV/T-GSHPHD） and its corresponding operational strategy. A comprehensive energy conversion model was established for system components, and an optimization configuration model was developed to enhance economic efficiency while ensuring soil thermal balance through typical scenario clustering analysis. The optimal system components and their respective capacities were determined based on these models. Results show that the optimal PV/T-GSHPHD system configuration consists of a PV/T module, a ground-source heat pump, a heat collection tank, and a thermal storage tank, with soil heat supplementation achieved via the PV/T module. Compared to a conventional electric boiler heating system, the PV/T-GSHPHD achieves 69.1% reduction in annual heating costs and 83.3% reduction in environmental costs, demonstrating significant economic and environmental advantages. The analysis of operating characteristics of the system on typical days indicates that the PV/T-GSHPHD effectively reduces grid peak loads year-round, with only 13% of its equivalent electricity sourced from the grid during summer, thereby alleviating regional electricity supply pressures. This study highlights the technical and economic viability of PV/T-GSHPHD as a sustainable alternative for industrial degreasing heating applications.
关键词
工业用热 /
清洁供热 /
光伏/光热 /
地源热泵 /
配置优化 /
场景聚类
Key words
industrial heating /
clean heating /
photovoltaic/thermal /
ground source heat pump /
configuration optimization /
scene clustering
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基金
国家电网有限公司科技项目（5400-202212166A-1-1-ZN）; 河北省重点研发计划（20376201D）
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