Agent based modelling of a local energy market: A study of the economic interactions between autonomous pv owners within a micro-grid

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLovati, Marcoen_US
dc.contributor.authorHuang, Peien_US
dc.contributor.authorOlsmats, Carlen_US
dc.contributor.authorYan, Daen_US
dc.contributor.authorZhang, Xingxingen_US
dc.contributor.departmentDepartment of Architectureen
dc.contributor.organizationDalarna Universityen_US
dc.contributor.organizationTsinghua Universityen_US
dc.date.accessioned2021-05-26T07:04:46Z
dc.date.available2021-05-26T07:04:46Z
dc.date.issued2021-04en_US
dc.description| openaire: EC/H2020/768766/EU//EnergyMatching
dc.description.abstractUrban Photovoltaic (PV) systems can provide large fractions of the residential electric demand at socket parity (i.e., a cost below the household consumer price). This is obtained without necessarily installing electric storage or exploiting tax funded incentives. The benefits of aggregating the electric demand and renewable output of multiple households are known and established; in fact, regulations and pilot energy communities are being implemented worldwide. Financing and managing a shared urban PV system remains an unsolved issue, even when the profitability of the system as a whole is demonstrable. For this reason, an agent-based modelling environment has been developed and is presented in this study. It is assumed that an optimal system (optimized for self-sufficiency) is shared between 48 households in a local grid of a positive energy district. Different scenarios are explored and discussed, each varying in number of owners (agents who own a PV system) and their pricing behaviour. It has been found that a smaller number of investors (i.e., someone refuse to join) provokes an increase of the earnings for the remaining investors (from 8 to 74% of the baseline). Furthermore, the pricing strategy of an agent shows improvement potential without knowledge of the demand of others, and thus it has no privacy violations.en
dc.description.versionPeer revieweden
dc.format.extent23
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLovati, M, Huang, P, Olsmats, C, Yan, D & Zhang, X 2021, ' Agent based modelling of a local energy market : A study of the economic interactions between autonomous pv owners within a micro-grid ', Buildings, vol. 11, no. 4, 160 . https://doi.org/10.3390/buildings11040160en
dc.identifier.doi10.3390/buildings11040160en_US
dc.identifier.issn2075-5309
dc.identifier.otherPURE UUID: 485adb78-e212-4ec4-8348-05064b2b75f9en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/485adb78-e212-4ec4-8348-05064b2b75f9en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85104881630&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/63049699/buildings_11_00160_v3.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/107742
dc.identifier.urnURN:NBN:fi:aalto-202105267001
dc.language.isoenen
dc.publisherMDPI AG
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/768766/EU//EnergyMatchingen_US
dc.relation.ispartofseriesBuildingsen
dc.relation.ispartofseriesVolume 11, issue 4en
dc.rightsopenAccessen
dc.subject.keywordAgent based modellingen_US
dc.subject.keywordDistributed renewable energyen_US
dc.subject.keywordEnergy communitiesen_US
dc.subject.keywordMarket designen_US
dc.subject.keywordTechno-economic modellingen_US
dc.subject.keywordUrban photovoltaic systemsen_US
dc.titleAgent based modelling of a local energy market: A study of the economic interactions between autonomous pv owners within a micro-griden
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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