The industrial sector, which is characterized by high energy consumption, primarily using fossil fuels, exhibits significant carbon emissions and severe pollution. Industrial parks generate abundant waste heat with varying flow rates and multiple grades, and also include industrial users with diverse heat demand profiles. Waste heat recovery is an effective method for reducing fossil fuel consumption. However, the current waste heat recovery methods focus on single-heat-source scenarios, making them unsuitable for use in industrial parks with multiple heat sources and heating loads. To achieve efficient matching between different sources and loads, this study developed a heat-pump-centric network system and establishes a two-stage optimization method for networked waste heat utilization. First, based on matrix algebra, a method for matching the generated waste heat with heat pump combinations and heat users was developed to obtain a networked heating path. Second, an optimization model for heat pump combinations was established, and linear integer programming algorithms were employed to obtain the optimal configuration and operational plan for the heating path. Finally, energy flow analysis was conducted to elucidate the optimal energy distribution. The results show that, compared to traditional heating modes, the proposed method achieved a 55 % reduction in energy consumption with a payback period of 4.6 years. The proposed system could enhance the matching between different grades of waste heat and heating demand, thereby improving the thermal energy utilization efficiency. The proposed method demonstrates significant energy saving with efficient utilization and economic benefits and can be applied to different scenarios with multiple sources and loads.

中文翻译：

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提升工业园区余热利用：以热泵为中心的多热源多用户网络集成方式

工业部门以化石燃料为主，能源消耗高，碳排放量大，污染严重。工业园区产生大量不同流量和多种等级的废热，并且还包括具有不同热需求概况的工业用户。余热回收是减少化石燃料消耗的有效方法。然而，目前的余热回收方法主要集中在单一热源场景，不适合在具有多个热源和热负荷的工业园区中使用。为了实现不同热源和负荷之间的高效匹配，本研究开发了以热泵为中心的网络系统，并建立了网络化余热利用的两阶段优化方法。首先，基于矩阵代数，开发了一种将产生的废热与热泵组合和热用户相匹配的方法，以获得网络化的加热路径。其次，建立了热泵组合的优化模型，并采用线性整数规划算法来获得加热路径的优化配置和运行方案。最后，进行能量流分析以阐明最佳能量分布。结果表明，与传统供暖方式相比，该方法实现了能耗降低55%，投资回收期为4.6年。该系统可以增强不同等级余热与供热需求之间的匹配，从而提高热能利用效率。该方法具有显着的节能效果、高效利用和经济效益，可应用于多源多负荷的不同场景。