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Planning future district energy systems is increasingly challenged by uncertainties in demand growth and spatial development. Conventional planning resolves this by oversizing infrastructure to meet projected peak demand – tying up capital in assets used only a fraction of the year, with reactive upgrades still required where demand develops beyond projections. The result is a persistent trade-off between cost, emissions, and resiliency. This study proposes a new paradigm for capacity design that treats thermal energy storage (TES) – and particularly strategically placed decentralized TES (DecTES) – as an integrated design element that adds a degree of freedom to the capacity design problem. While centralized TES reduces peak production requirements, DecTES additionally resolves transmission bottlenecks by absorbing peak demand locally, adding a spatial dimension to system flexibility. The approach is demonstrated on district cooling and heating systems at Stanford, California, and Aalborg, Denmark. At Stanford, existing TES reduces OPEX by ~12% and CO₂ emissions by ~7% annually; doubling TES potentially adds ~2% OPEX and ~1.5% CO₂ savings, and DecTES enables 20-23% local demand growth without infrastructure expansion. In Aalborg, existing TES delivers ~10% OPEX savings and ~17% CO₂ reductions; DecTES enables 20-28% local demand growth at baseline and 54-62% under adaptive operation, potentially adds ~2.5% OPEX and ~5% CO₂ savings, and phases out decentralized fossil peak production. The analyses also indicate derived electricity-grid benefits, with connection capacity reducible by 24% and 39% respectively. Unlike conventional peak capacity, TES delivers year-round value from day one – reducing planning risk regardless of how demand unfolds.
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Christensen et al. (2026) studied this question.
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