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About this paper
Yannick Wack, Martin Sollich, Robbe Salenbien, Jan Diriken, Martine Baelmans, Maarten Blommaert
This research presents a multi-period optimization approach for designing District Heating Networks that accounts for temporal variations in demand and supply conditions. The methodology leads to more efficient and cost-effective heating networks, demonstrating an 18% reduction in total project costs and a significant increase in waste heat utilization compared to traditional worst-case design methods.
Key insights
- Multi-period optimization naturally yields integrated, meshed network topologies that offer enhanced flexibility and redundancy, contrasting with the separate, branched networks typical of worst-case designs.
- Considering temporal variations in demand and supply significantly increases the utilization of intermittent heat sources, such as industrial waste heat.
- Optimizing for the full spectrum of operating conditions, rather than just worst-case scenarios, leads to substantial economic benefits and improves network resilience against disruptions.
Summary by alphaXiv.
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