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Distributed multi-generation: A comprehensive view

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  • Chicco, Gianfranco
  • Mancarella, Pierluigi
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    Abstract

    The recent development of efficient thermal prime movers for distributed generation is changing the focus of the production of electricity from large centralized power plants to local generation units scattered over the territory. The scientific community is addressing the analysis and planning of distributed energy resources with widespread approaches, taking into account technical, environmental, economic and social issues. The coupling of cogeneration systems to absorption/electric chillers or heat pumps, as well as the interactions with renewable sources, allow for setting up multi-generation systems for combined local production of different energy vectors such as electricity, heat (at different enthalpy levels), cooling power, hydrogen, various chemical substances, and so forth. Adoption of composite multi-generation systems may lead to significant benefits in terms of higher energy efficiency, reduced CO2 emissions, and enhanced economy. In this light, a key direction for improving the characteristics of the local energy production concerns the integration of the concepts of distributed energy resources and combined production of different energy vectors into a comprehensive distributed multi-generation (DMG) framework that entails various approaches to energy planning currently available in the literature. This paper outlines the main aspects of the DMG framework, illustrating its characteristics and summarizing the relevant DMG structures. The presentation is backed by an extended review of the most recent journal publications and reports.

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    Bibliographic Info

    Article provided by Elsevier in its journal Renewable and Sustainable Energy Reviews.

    Volume (Year): 13 (2009)
    Issue (Month): 3 (April)
    Pages: 535-551

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    Handle: RePEc:eee:rensus:v:13:y:2009:i:3:p:535-551

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    Related research

    Keywords: Cogeneration Distributed energy resources Distributed multi-generation Optimization Polygeneration Trigeneration;

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    2. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
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    4. Iacobescu, Flavius & Badescu, Viorel, 2011. "Metamorphoses of cogeneration-based district heating in Romania: A case study," Energy Policy, Elsevier, vol. 39(1), pages 269-280, January.
    5. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
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    8. Jiang-Jiang, Wang & Chun-Fa, Zhang & You-Yin, Jing, 2010. "Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China," Applied Energy, Elsevier, vol. 87(4), pages 1247-1259, April.
    9. Pérez-Alonso, J. & Pérez-García, M. & Pasamontes-Romera, M. & Callejón-Ferre, A.J., 2012. "Performance analysis and neural modelling of a greenhouse integrated photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4675-4685.
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    11. Carpaneto, Enrico & Chicco, Gianfranco & Mancarella, Pierluigi & Russo, Angela, 2011. "Cogeneration planning under uncertainty. Part II: Decision theory-based assessment of planning alternatives," Applied Energy, Elsevier, vol. 88(4), pages 1075-1083, April.
    12. Rae, Callum & Bradley, Fiona, 2012. "Energy autonomy in sustainable communities—A review of key issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6497-6506.
    13. Pasimeni, Maria Rita & Petrosillo, Irene & Aretano, Roberta & Semeraro, Teodoro & De Marco, Antonella & Zaccarelli, Nicola & Zurlini, Giovanni, 2014. "Scales, strategies and actions for effective energy planning: A review," Energy Policy, Elsevier, vol. 65(C), pages 165-174.

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