dc.contributor.author | Thorvaldsen, Kasper Emil | |
dc.contributor.author | Korpås, Magnus | |
dc.contributor.author | Farahmand, Hossein | |
dc.date.accessioned | 2023-02-21T12:58:16Z | |
dc.date.available | 2023-02-21T12:58:16Z | |
dc.date.created | 2022-01-24T01:35:47Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 0142-0615 | |
dc.identifier.uri | https://hdl.handle.net/11250/3052775 | |
dc.description.abstract | In this work, we investigate how flexible assets within a residential building influence the long-term impact of operation. We use a measured-peak grid tariff (MPGT) that puts a cost on the highest single-hour peak import over the month. We apply a mathematical model of a Home Energy Management System (HEMS) together with Stochastic Dynamic Programming (SDP), which calculates the long-term impact of operating as a non-linear expected future cost curve (EFCC) from the end of the scheduling period to the start. The proposed model is applied to a case study for a Norwegian building with smart control of a battery energy storage system (BESS), Electric vehicle (EV) charging and space heating (SH). Each of the flexible assets are investigated individually with MPGT and for an energy-based grid tariff. The results showed that EV charging has the highest peak-power impact in the system, decreasing the total electricity cost by 14.6% with MPGT when controllable compared to a reference case with passive charging. It is further shown how the EFCC helps achieve optimal timing and level of the peak demand, where it co-optimizes both real-time pricing and the MPGT. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.title | Long-term Value of Flexibility from Flexible Assets in Building Operation | en_US |
dc.title.alternative | Long-term Value of Flexibility from Flexible Assets in Building Operation | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 138 | en_US |
dc.source.journal | International Journal of Electrical Power & Energy Systems | en_US |
dc.identifier.doi | 10.1016/j.ijepes.2021.107811 | |
dc.identifier.cristin | 1988179 | |
dc.relation.project | Norges forskningsråd: 257626 | en_US |
dc.relation.project | Norges forskningsråd: 257660 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |