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Photovoltaic-powered seasonal snow storage-assisted district cooling system: Site suitability analysis and performance assessment

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  • Sreenath, S.
  • Kirs, Tanel
  • Kirs, Kristian
  • Volkova, Anna

Abstract

District cooling (DC) plants coupled with cold thermal energy storage (TES) and photovoltaic (PV) systems are getting attention worldwide. Utilising winter snow is a successfully implemented TES technology, with little scale-up. Its site identification and cooling potential are not yet fully explored, especially for DC applications. The objective of this paper is to carry out site suitability analysis and performance assessment for PV-powered snow storage-assisted DC system. The site selection methodology is based on multi-criteria decision-making techniques and geographic information system. Performance analysis is carried out mathematically by considering ten indicators. The robustness of the study is enhanced by multiple sensitivity analysis. For the base case scenario, the dominant selection criteria are observed to be cooling load density (30 %), proximity to electric grids (17 %) and air temperature (13 %). Out of the selected land cover (vacant/crops/rangeland) in Estonia, around 34 km2 was observed to be moderately-suitable for the development of the proposed system. For a specific site, the theoretical generation potential of snow cooling facility is estimated as 1728 MWh with an annual cooling share of 80 %. With annual energy output of 1823 MWh and performance-ratio of 78 %, rooftop PV plants is capable to fully power the proposed system. A satisfactory economic and environmental performance is observed at the whole system level. This study is expected to scientifically support the effective utilisation of locally available energy sources (i.e. winter snow and solar energy) for space cooling applications in cold regions.

Suggested Citation

  • Sreenath, S. & Kirs, Tanel & Kirs, Kristian & Volkova, Anna, 2024. "Photovoltaic-powered seasonal snow storage-assisted district cooling system: Site suitability analysis and performance assessment," Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224033644
    DOI: 10.1016/j.energy.2024.133586
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