Sustainable Energy-efficient Microgrid – A Case Study on Local Energy System Design

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.author Doroudchi, Elahe
dc.date.accessioned 2018-09-11T09:03:20Z
dc.date.available 2018-09-11T09:03:20Z
dc.date.issued 2018
dc.identifier.isbn 978-952-60-8175-5 (electronic)
dc.identifier.isbn 978-952-60-8174-8 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/33991
dc.description.abstract Increasing environmental concerns about the use of fossil fuels have gen-erated great interest in emerging technologies to produce clean energy. Current research aims to mitigate this concern by proposing solutions for applying clean energies in residential buildings. This thesis focuses on mi-crogrids, small energy grids to generate, consume and share energy among producers within their own networks. Microgrids can come in dif-ferent sizes and be based on various electricity generation sources. This research modelled and designed a microgrid solution that is sustainable, energy-efficient, economically viable and easily implemented. To achieve these goals, the design of a community of residential buildings is reverse-engineered in order to scale down the microgrid model into smaller seg-ments for simplifying the management of energy in individual and groups of dwellings. This research presents a sequence of approaches to optimally utilise dis-tributed energy resources, such as PV systems, battery energy storage, thermal storage and electric vehicles, with the aim of minimising imports from utility electricity grids, as well as helping houses, buildings, and communities to reduce energy bills. The optimisation algorithms are also tested in a hardware-in-the-loop environment to validate their perfor-mance. Furthermore, the research includes economic assessments to pro-vide a complete picture of the real value of such an approach, incorporating the cost of the new assets (e.g. batteries) and the effects of different pric-ing strategies. The research starts with the design of a DC microgrid for single-family homes, leading to the development of a community model consisting of eight dwellings in a neighbourhood. The model is implement-ed for daily, monthly and yearly time spans to verify that the proposed ap-proach works across different time scales.  The results of this thesis, which are extended from a small dwelling model to a community model, from one-day energy management analysis to a year-long energy sharing assessment, would benefit researchers, grid utilities, power companies and city planners in order to provide better solu-tions for a future carbon-free environment. en
dc.format.extent 66 + app. 70
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 173/2018
dc.relation.haspart [Publication 1]: Doroudchi, Elahe; Kyyrä, Jorma; Lehtonen, Matti. Battery energy storage effect on AC/DC microgrids efficiency. The 18th IEEE European Conference on Power Electronics and Applications (EPE'16 ECCE Europe). Karlsruhe, Germany, Sep. 5-9, 2016. DOI: 10.1109/EPE.2016.7695659
dc.relation.haspart [Publication 2]: Doroudchi, Elahe; Pal, Sudip K.; Kyyrä, Jorma; Lehtonen, Matti. Optimizing energy cost via battery sizing in residential PV/battery systems. The 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA). Bangkok, Thailand, Nov. 3-6, 2015. DOI: 10.1109/ISGT-Asia.2015.7387155
dc.relation.haspart [Publication 3]: Doroudchi, Elahe; Lehtonen, Matti; Kyyrä, Jorma. Demand response control of a townhouse thermal storage by greedy variable neighbourhood algorithm. International Review of Electrical Engineering (IREE), vol. 11, no. 6, pp. 654-662, 2016. DOI: 10.15866/iree.v11i6.9951
dc.relation.haspart [Publication 4]: Doroudchi, Elahe; Feng, Xianyong; Strank, Shannon; Hebner, Robert E.; Kyyrä, Jorma. Hardware-in-the-loop test for real time economic control of a DC microgrid. The 2018 IET 9th International Conference on Power Electronics, Machines and Drives (PEMD). Liverpool, UK, Apr. 17-19, 2018. DOI: 10.1049/joe.2018.8153
dc.relation.haspart [Publication 5]: Doroudchi, Elahe; Kyyrä, Jorma; Lehtonen, Matti. Hardware-in-the-loop test for a residential partial thermal storage space heating demand response control. Submitted 2018.
dc.relation.haspart [Publication 6]: Doroudchi, Elahe; Alanne, Kari; Okur, Özge; Kyyrä, Jorma; Lehtonen, Matti. Approaching net zero energy housing through integrated EV. Sustainable Cities and Society (SCS), vol. 38, pp. 534-542, 2018. DOI: 10.1016/j.scs.2018.01.042
dc.relation.haspart [Publication 7]: Doroudchi, Elahe; Lehtonen, Matti; Kyyrä, Jorma. Optimizing residential energy costs through community energy network. Submitted 2018.
dc.subject.other Electrical engineering en
dc.subject.other Energy en
dc.title Sustainable Energy-efficient Microgrid – A Case Study on Local Energy System Design en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Sähkötekniikan ja automaation laitos fi
dc.contributor.department Department of Electrical Engineering and Automation en
dc.subject.keyword community energy network en
dc.subject.keyword demand response en
dc.subject.keyword electrical storage en
dc.subject.keyword microgrids en
dc.subject.keyword renewable energy systems en
dc.subject.keyword residential building energy management system en
dc.subject.keyword sustainability en
dc.subject.keyword thermal storage en
dc.identifier.urn URN:ISBN:978-952-60-8175-5
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Kyyrä, Jorma, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.opn Laaksonen, Hannu, Prof., University of Vaasa, Finland
dc.contributor.lab Power Electronics en
dc.rev Valkealahti, Seppo, Prof., Tampere University of Technology, Finland
dc.rev Ochoa, Luis, Prof., The University of Melbourne, Australia
dc.date.defence 2018-09-26
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