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Evaluation of the potential of natural gas district heating cogeneration in Spain as a tool for decarbonisation of the economy

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  • Soltero, V.M.
  • Chacartegui, R.
  • Ortiz, C.
  • Velázquez, R.
Abstract
High efficiency heating/cooling networks have a main role in economy decarbonisation. Evaluation of the potential for cogeneration district heating systems at regional level requires environmental, economic and regulatory analyses at different levels. This paper defines a top-down/bottom-up methodology for the analysis of potential cogeneration district heating systems at regional level as tool for supporting energy policies. It is based on the analysis at four levels for the regulatory framework, resources, infrastructures and demands: national, regional, municipality and district. As case study the methodology is applied to the analysis of cogeneration heating networks in the Spanish continental area. For the case study, cogeneration heating networks of small power (5MWe) were shown as the most interesting option with heat supply capacity for 1300–1400 houses. The application of the methodology to this region shows a potential for 589 new fully viable cogeneration district heating systems. It implies the installation of 3000 MW of high efficiency distributed power. For each single module annual savings above 0.5 Million euros are expected with market prices for gas and electricity. Results show the opportunity for an annual CO2 emissions savings above 4 Million of CO2 tons and a business generation above 3000 Million of euros.

Suggested Citation

  • Soltero, V.M. & Chacartegui, R. & Ortiz, C. & Velázquez, R., 2016. "Evaluation of the potential of natural gas district heating cogeneration in Spain as a tool for decarbonisation of the economy," Energy, Elsevier, vol. 115(P3), pages 1513-1532.
  • Handle: RePEc:eee:energy:v:115:y:2016:i:p3:p:1513-1532
    DOI: 10.1016/j.energy.2016.06.038
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    14. Jalil-Vega, F. & Hawkes, A.D., 2018. "Spatially resolved model for studying decarbonisation pathways for heat supply and infrastructure trade-offs," Applied Energy, Elsevier, vol. 210(C), pages 1051-1072.
    15. Picardo, Alberto & Soltero, Victor M. & Peralta, M. Estela & Chacartegui, Ricardo, 2019. "District heating based on biogas from wastewater treatment plant," Energy, Elsevier, vol. 180(C), pages 649-664.
    16. Hast, Aira & Syri, Sanna & Lekavičius, Vidas & Galinis, Arvydas, 2018. "District heating in cities as a part of low-carbon energy system," Energy, Elsevier, vol. 152(C), pages 627-639.
    17. Möller, Bernd & Wiechers, Eva & Persson, Urban & Grundahl, Lars & Connolly, David, 2018. "Heat Roadmap Europe: Identifying local heat demand and supply areas with a European thermal atlas," Energy, Elsevier, vol. 158(C), pages 281-292.
    18. Soltero, Víctor M. & Quirosa, Gonzalo & Rodríguez, Diego & Peralta, M. Estela & Ortiz, Carlos & Chacartegui, Ricardo, 2023. "A profitability index for rural biomass district heating systems evaluation," Energy, Elsevier, vol. 282(C).
    19. Soltero, V.M. & Quirosa, Gonzalo & Peralta, M.E. & Chacartegui, Ricardo & Torres, Miguel, 2022. "A biomass universal district heating model for sustainability evaluation for geographical areas with early experience," Energy, Elsevier, vol. 242(C).
    20. Markovska, Natasa & Duić, Neven & Mathiesen, Brian Vad & Guzović, Zvonimir & Piacentino, Antonio & Schlör, Holger & Lund, Henrik, 2016. "Addressing the main challenges of energy security in the twenty-first century – Contributions of the conferences on Sustainable Development of Energy, Water and Environment Systems," Energy, Elsevier, vol. 115(P3), pages 1504-1512.
    21. Víctor M. Soltero & Ricardo Chacartegui & Carlos Ortiz & Gonzalo Quirosa, 2018. "Techno-Economic Analysis of Rural 4th Generation Biomass District Heating," Energies, MDPI, vol. 11(12), pages 1-20, November.
    22. Cristina Sáez Blázquez & Arturo Farfán Martín & Ignacio Martín Nieto & Diego González-Aguilera, 2018. "Economic and Environmental Analysis of Different District Heating Systems Aided by Geothermal Energy," Energies, MDPI, vol. 11(5), pages 1-17, May.

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