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Ringkøbing-Skjern energy atlas for analysis of heat saving potentials in building stock

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  • Petrović, Stefan
  • Karlsson, Kenneth

Abstract

Ringkøbing-Skjern municipality aims to be 100% self-sufficient in renewable energy supply starting from 2020. It is expected that the building sector will contribute by reducing energy demand by 25–50%.

Suggested Citation

  • Petrović, Stefan & Karlsson, Kenneth, 2016. "Ringkøbing-Skjern energy atlas for analysis of heat saving potentials in building stock," Energy, Elsevier, vol. 110(C), pages 166-177.
    • Handle: RePEc:eee:energy:v:110:y:2016:i:c:p:166-177
    DOI: 10.1016/j.energy.2016.04.046
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    References listed on IDEAS

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    1. Sperling, Karl & Möller, Bernd, 2012. "End-use energy savings and district heating expansion in a local renewable energy system – A short-term perspective," Applied Energy, Elsevier, vol. 92(C), pages 831-842.
    2. Zvingilaite, Erika, 2013. "Modelling energy savings in the Danish building sector combined with internalisation of health related externalities in a heat and power system optimisation model," Energy Policy, Elsevier, vol. 55(C), pages 57-72.
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    Citations

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    Cited by:

    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. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    3. Guo, Fei & Akenji, Lewis & Schroeder, Patrick & Bengtsson, Magnus, 2018. "Static analysis of technical and economic energy-saving potential in the residential sector of Xiamen city," Energy, Elsevier, vol. 142(C), pages 373-383.
    4. Seiya Maki & Satoshi Ohnishi & Minoru Fujii & Naohiro Goto & Lu Sun, 2022. "Using waste to supply steam for industry transition: Selection of target industries through economic evaluation and statistical analysis," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1475-1486, August.
    5. Malte Schwanebeck & Marcus Krüger & Rainer Duttmann, 2021. "Improving GIS-Based Heat Demand Modelling and Mapping for Residential Buildings with Census Data Sets at Regional and Sub-Regional Scales," Energies, MDPI, vol. 14(4), pages 1-18, February.
    6. Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2020. "Reviewing energy system modelling of decentralized energy autonomy," Energy, Elsevier, vol. 203(C).
    7. Ben Amer-Allam, Sara & Münster, Marie & Petrović, Stefan, 2017. "Scenarios for sustainable heat supply and heat savings in municipalities - The case of Helsingør, Denmark," Energy, Elsevier, vol. 137(C), pages 1252-1263.
    8. Andersen, Kristoffer Steen & Wiese, Catharina & Petrovic, Stefan & McKenna, Russell, 2020. "Exploring the role of households’ hurdle rates and demand elasticities in meeting Danish energy-savings target," Energy Policy, Elsevier, vol. 146(C).
    9. McGookin, Connor & Ó Gallachóir, Brian & Byrne, Edmond, 2021. "An innovative approach for estimating energy demand and supply to inform local energy transitions," Energy, Elsevier, vol. 229(C).
    10. Novosel, T. & Pukšec, T. & Duić, N. & Domac, J., 2020. "Heat demand mapping and district heating assessment in data-pour areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    11. Artur Wyrwa & Yi-kuang Chen, 2017. "Mapping Urban Heat Demand with the Use of GIS-Based Tools," Energies, MDPI, vol. 10(5), pages 1-15, May.

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