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The choice of operating strategy for a complex polygeneration system: A case study for a residential building in Italy
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0001-8510-2783
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0002-4479-344X
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0001-9556-552X
2018 (English)In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 163, p. 278-291Article in journal (Refereed) Published
Abstract [en]

The operating strategy can affect the optimal solution and performance of a polygeneration energy system. In this study, the effect of operating strategies: following thermal load; following electric load; and modified base load on the optimal solution of a polygeneration system for a residential building complex in the northern part of Italy is investigated. For the optimal solutions, a comparative analysis is carried out considering the techno-economic and environmental performance of the system. The result elaborates on how the benefits achieved in a polygeneration system are influenced by the choice of operating strategy. In the building complex, implementation of the operating strategies shows considerable energetic, economic and environmental benefits compared to conventional separate heat and power generation. The ranges of annualized total cost reduction of 17-19%, carbon dioxide emission reduction of 35-43% and fuel consumption reduction of 30-38% are achieved for the various operating strategies. However, each of the operating strategies has its own advantages and drawbacks which emphasizes the importance of post-processing of the results in order to make the right choice. For example, the following thermal load shows the advantage of a higher carbon dioxide emission reduction. On the other hand, one drawback is its lower self-sustainability in terms of electric power compared to the other strategies.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2018. Vol. 163, p. 278-291
Keywords [en]
Polygeneration energy system, Renewable energy, Operating strategy, Particle swarm optimization, Optimization, Decentralized energy system
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-228441DOI: 10.1016/j.enconman.2018.02.006ISI: 000431837400025OAI: oai:DiVA.org:kth-228441DiVA, id: diva2:1210652
Note

QC 20180529

Available from: 2018-05-29 Created: 2018-05-29 Last updated: 2018-05-29Bibliographically approved

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Ghaem Sigarchian, SaraMalmquist, AndersMartin, Viktoria

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