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Centralized vs distributed generation. A model to assess the relevance of some thermal and electric factors. Application to the Spanish case study

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  • Martín-Martínez, F.
  • Sánchez-Miralles, A.
  • Rivier, M.
  • Calvillo, C.F.

Abstract

Deployment of Distributed Energy Resources (DER) is already a reality for electricity supply and the debate whether distributed generation is going to replace almost totally or partially the current centralized generation paradigm is currently in place. Technical and economic advantages of DER have been addressed in the literature although regulation has also played a central role in DER deployment. This paper aims at contributing to that debate. Firstly, the advantages of both paradigms are reviewed and the cost recovery problem of the existing centralized related stranded costs discussed. Secondly, an optimization model, formulated to specifically address the discussion comparing both configuration paradigms. Main factors affecting the debate are identified and represented in the model: investment and operation costs, flexibility system requirements, demand response capabilities, building thermal demands, network investments and losses, and access-fee design, among others. Thirdly, a realistic case study, based on Spain, is presented and some qualitative conclusions extracted. Such kind of model is useful to undertake country specific studies either to perform sensitivity analysis revealing the relevance of the factors involved and the direct and indirect relationships among technologies, or to analyze the more efficient system configuration and align regulatory decisions towards it.

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  • Martín-Martínez, F. & Sánchez-Miralles, A. & Rivier, M. & Calvillo, C.F., 2017. "Centralized vs distributed generation. A model to assess the relevance of some thermal and electric factors. Application to the Spanish case study," Energy, Elsevier, vol. 134(C), pages 850-863.
  • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:850-863
    DOI: 10.1016/j.energy.2017.06.055
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    as
    1. Richter, Mario, 2012. "Utilities’ business models for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2483-2493.
    2. Akorede, Mudathir Funsho & Hizam, Hashim & Pouresmaeil, Edris, 2010. "Distributed energy resources and benefits to the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 724-734, February.
    3. Tom Van der Stocken & Jean Hugé & Evelien Deboelpaep & Maarten P. M. Vanhove & Luc Janssens de Bisthoven & Nico Koedam, 2016. "Academic capacity building: holding up a mirror," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1277-1280, March.
    4. Poudineh, Rahmatallah & Jamasb, Tooraj, 2014. "Distributed generation, storage, demand response and energy efficiency as alternatives to grid capacity enhancement," Energy Policy, Elsevier, vol. 67(C), pages 222-231.
    5. 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.
    6. Martin-Martínez, F. & Sánchez-Miralles, A. & Rivier, M., 2016. "A literature review of Microgrids: A functional layer based classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1133-1153.
    7. Hoff, Thomas E & Wenger, Howard J & Farmer, Brian K, 1996. "Distributed generation : An alternative to electric utility investments in system capacity," Energy Policy, Elsevier, vol. 24(2), pages 137-147, February.
    8. ., 2016. "From MoDo to Holmen: the building blocs," Chapters, in: Rethinking Corporate Governance, chapter 8, pages 155-207, Edward Elgar Publishing.
    9. Mehleri, Eugenia D. & Sarimveis, Haralambos & Markatos, Nikolaos C. & Papageorgiou, Lazaros G., 2012. "A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level," Energy, Elsevier, vol. 44(1), pages 96-104.
    10. Calvillo, C.F. & Sánchez-Miralles, A. & Villar, J., 2015. "Assessing low voltage network constraints in distributed energy resources planning," Energy, Elsevier, vol. 84(C), pages 783-793.
    11. Omu, Akomeno & Choudhary, Ruchi & Boies, Adam, 2013. "Distributed energy resource system optimisation using mixed integer linear programming," Energy Policy, Elsevier, vol. 61(C), pages 249-266.
    12. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2016. "A pilot facility for analysis and simulation of smart microgrids feeding smart buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1247-1255.
    13. Pandžić, Hrvoje & Morales, Juan M. & Conejo, Antonio J. & Kuzle, Igor, 2013. "Offering model for a virtual power plant based on stochastic programming," Applied Energy, Elsevier, vol. 105(C), pages 282-292.
    14. Olubunmi, Olanipekun Ayokunle & Xia, Paul Bo & Skitmore, Martin, 2016. "Green building incentives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1611-1621.
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