一种面向区域供热管网的多周期拓扑与设计优化方法
A Multi-Period Topology and Design Optimization Approach for District Heating Networks
AI总结：
针对第四代区域供热对自动化设计工具的需求，提出结合密度拓扑优化与多周期方法的管网优化设计方法，可生成集成网状拓扑，提升余热利用率、降低成本并兼顾冗余性。
摘要：
向第四代区域供热的转型，使得对可扩展、自动化设计工具的需求日益增长，这类工具需能准确捕捉供热管网运行的空间与时间细节。本文提出一种用于区域供热管网优化设计的自动化设计方法，该方法将可扩展的基于密度的拓扑优化与多周期方法相结合。由此，在基于非线性物理模型优化管网设计的同时，可将需求、供应及热损失的时间变化纳入考量。\n自动化设计方法从最坏情况向多周期的转变，呈现出从独立分支管网到连接所有产热方的单一集成网状管网拓扑的设计演进。这些集成拓扑并非通过先验施加此类结构而生成，它们提升了管网连通性，使得热负荷可在不同产热方与热用户之间更灵活地转移，从而实现更具成本效益的热能利用。\n在一项案例研究中，这种集成设计使余热占比提升了42.8%，进而使项目成本降低了17.9%。我们展示了如何在自动化设计中考虑产热方不可用的情况，其代价是备用容量成本增加3.1%。该方法生成的优化管网设计将多个低温热源接入单一集成管网，实现了高余热利用率与冗余度，凸显了该方法在下一代区域供热管网中的适用性。
英文摘要：
The transition to 4th generation district heating creates a growing need for scalable, automated design tools that accurately capture the spatial and temporal details of heating network operation. This paper presents an automated design approach for the optimal design of district heating networks that combines scalable density-based topology optimization with a multi-period approach. In this way, temporal variations in demand, supply, and heat losses can be taken into account while optimizing the network design based on a nonlinear physics model. The transition of the automated design approach from worst-case to multi-period shows a design progression from separate branched networks to a single integrated meshed network topology connecting all producers. These integrated topologies emerge without imposing such structures a priori. They increase network connectivity, and allow for more flexible shifting of heat loads between different producers and heat consumers, resulting in more cost-effective use of heat. In a case study, this integrated design resulted in an increase in waste heat share of 42.8 % and a subsequent reduction in project cost of 17.9 %. We show how producer unavailability can be accounted for in the automated design at the cost of a 3.1 % increase in the cost of backup capacity. The resulting optimized network designs of this approach connect multiple low temperature heat sources in a single integrated network achieving high waste heat utilization and redundancy, highlighting the applicability of the approach to next-generation district heating networks.
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