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Scenarios for sustainable heat supply in cities – case of Helsingor, Denmark

Author

Listed:
  • Ben Amer-Allam, Sara
  • Münster, Marie
  • Petrović, Stefan

Abstract

Local climate action is not only a domain of large cities, but also smaller urban areas that increasingly address climate change mitigation in their policy. The Danish municipality of Helsingør can achieve substantial CO2 emission reduction by transforming its heat supply and deploying heat savings. In the paper we model the heating system of Helsingør from a socio- and private-economic perspective, develop future scenarios, and conduct an iterative process to derive optimal mix between district heating, individual heating and heat savings. The results show that in 2030 it is cost-optimal to reduce the heating demand by 20-39% by implementing heat savings, to deploy 33%-41% of district heating and reduce heating-related CO2 emissions by up to 95% compared to now. In 2050, the cost-optimal share of district heating in Helsingør is between 38-44%. The resulting average heating costs and CO2 emissions are found to be sensitive to biomass and electricity price. Although the findings of the study are mainly applicable for Helsingør, the combined use of the Least Cost Tool and modelling with energyPRO is useful in planning of any heating and/or cooling supply and demand configuration, in any geographical region and scale

Suggested Citation

  • Ben Amer-Allam, Sara & Münster, Marie & Petrović, Stefan, 2016. "Scenarios for sustainable heat supply in cities – case of Helsingor, Denmark," MPRA Paper 93194, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:93194
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    References listed on IDEAS

    as
    1. Karlsson, Kenneth B. & Petrović, Stefan N. & Næraa, Rikke, 2016. "Heat supply planning for the ecological housing community Munksøgård," Energy, Elsevier, vol. 115(P3), pages 1733-1747.
    2. Moritz A. Drupp & Mark C. Freeman & Ben Groom & Frikk Nesje, 2018. "Discounting Disentangled," American Economic Journal: Economic Policy, American Economic Association, vol. 10(4), pages 109-134, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    heat savings; district heating; individual heating; CO2 emission reduction; energyPRO; Least Cost Tool;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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