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Regionalization of a national integrated energy system model: A case study of the northern Netherlands

Author

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  • Sahoo, Somadutta
  • van Stralen, Joost N.P.
  • Zuidema, Christian
  • Sijm, Jos
  • Yamu, Claudia
  • Faaij, André

Abstract

Integrated energy system modeling tools predominantly focus on the (inter)national or local scales. The intermediate level is important from the perspective of regional policy making, particularly for identifying the potentials and constraints of various renewable resources. Additionally, distribution variations of economic and social sectors, such as housing, agriculture, industries, and energy infrastructure, foster regional energy demand differences. We used an existing optimization-based national integrated energy system model, Options Portfolio for Emission Reduction Assessment or OPERA, for our analysis. The modeling framework was subdivided into four major blocks: the economic structure, the built environment and industries, renewable energy potentials, and energy infrastructure, including district heating. Our scenario emphasized extensive use of intermittent renewables to achieve low greenhouse gas emissions. Our multi-node, regionalized model revealed the significant impacts of spatial parameters on the outputs of different technology options. Our case study was the northern region of the Netherlands. The region generated a significant amount of hydrogen (H2) from offshore wind, i.e. 620 Peta Joule (PJ), and transmitted a substantial volume of H2 (390 PJ) to the rest of the Netherlands. Additionally, the total renewable share in the primary energy mix of almost every northern region is ∼90% or more compared to ∼70% for the rest of the Netherlands. The results confirm the added value of regionalized modeling from the perspective of regional policy making as opposed to relying solely on national energy system models. Furthermore, we suggest that the regionalization of national models is an appropriate method to analyze regional energy systems.

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  • Sahoo, Somadutta & van Stralen, Joost N.P. & Zuidema, Christian & Sijm, Jos & Yamu, Claudia & Faaij, André, 2022. "Regionalization of a national integrated energy system model: A case study of the northern Netherlands," Applied Energy, Elsevier, vol. 306(PB).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013301
    DOI: 10.1016/j.apenergy.2021.118035
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    as
    1. Girardin, Luc & Marechal, François & Dubuis, Matthias & Calame-Darbellay, Nicole & Favrat, Daniel, 2010. "EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas," Energy, Elsevier, vol. 35(2), pages 830-840.
    2. Brounen, Dirk & Kok, Nils & Quigley, John M., 2012. "Residential energy use and conservation: Economics and demographics," European Economic Review, Elsevier, vol. 56(5), pages 931-945.
    3. Ramachandra, T.V., 2009. "RIEP: Regional integrated energy plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 285-317, February.
    4. Batzias, F.A. & Sidiras, D.K. & Spyrou, E.K., 2005. "Evaluating livestock manures for biogas production: a GIS based method," Renewable Energy, Elsevier, vol. 30(8), pages 1161-1176.
    5. Tiba, C. & Candeias, A.L.B. & Fraidenraich, N. & Barbosa, E.M. de S. & de Carvalho Neto, P.B. & de Melo Filho, J.B., 2010. "A GIS-based decision support tool for renewable energy management and planning in semi-arid rural environments of northeast of Brazil," Renewable Energy, Elsevier, vol. 35(12), pages 2921-2932.
    6. Maurizio Carlini & Enrico Maria Mosconi & Sonia Castellucci & Mauro Villarini & Andrea Colantoni, 2017. "An Economical Evaluation of Anaerobic Digestion Plants Fed with Organic Agro-Industrial Waste," Energies, MDPI, vol. 10(8), pages 1-15, August.
    7. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    8. Bridge, Gavin & Bouzarovski, Stefan & Bradshaw, Michael & Eyre, Nick, 2013. "Geographies of energy transition: Space, place and the low-carbon economy," Energy Policy, Elsevier, vol. 53(C), pages 331-340.
    9. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Lund, Rasmus Søgaard & Mathiesen, Brian Vad, 2019. "Heat Roadmap Europe: Towards EU-Wide, local heat supply strategies," Energy, Elsevier, vol. 177(C), pages 554-564.
    10. Kimon Keramidas & Alban Kitous & Jacques Despres & Andreas Schmitz & Ana Diaz Vazquez & Silvana Mima & Peter Russ & Tobias Wiesenthal, 2017. "POLES-JRC model documentation," JRC Research Reports JRC107387, Joint Research Centre.
    11. van der Zwaan, Bob & Keppo, Ilkka & Johnsson, Filip, 2013. "How to decarbonize the transport sector?," Energy Policy, Elsevier, vol. 61(C), pages 562-573.
    12. Jeffrey A. Bennett & Claire N. Trevisan & Joseph F. DeCarolis & Cecilio Ortiz-García & Marla Pérez-Lugo & Bevin T. Etienne & Andres F. Clarens, 2021. "Extending energy system modelling to include extreme weather risks and application to hurricane events in Puerto Rico," Nature Energy, Nature, vol. 6(3), pages 240-249, March.
    13. Persson, Urban & Werner, Sven, 2011. "Heat distribution and the future competitiveness of district heating," Applied Energy, Elsevier, vol. 88(3), pages 568-576, March.
    14. Riva, Fabio & Gardumi, Francesco & Tognollo, Annalisa & Colombo, Emanuela, 2019. "Soft-linking energy demand and optimisation models for local long-term electricity planning: An application to rural India," Energy, Elsevier, vol. 166(C), pages 32-46.
    15. Persson, Urban & Wiechers, Eva & Möller, Bernd & Werner, Sven, 2019. "Heat Roadmap Europe: Heat distribution costs," Energy, Elsevier, vol. 176(C), pages 604-622.
    16. Nielsen, Steffen & Möller, Bernd, 2013. "GIS based analysis of future district heating potential in Denmark," Energy, Elsevier, vol. 57(C), pages 458-468.
    Full references (including those not matched with items on IDEAS)

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    7. Liu, Xuan & Yang, Dujuan & Arentze, Theo & Wielders, Tom, 2023. "The willingness of social housing tenants to participate in natural gas-free heating systems project: Insights from a stated choice experiment in the Netherlands," Applied Energy, Elsevier, vol. 350(C).
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