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Optimal and rule-based control strategies for energy flexibility in buildings with PV

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Salpakari, Jyri
dc.contributor.author Lund, Peter
dc.date.accessioned 2017-05-11T09:03:46Z
dc.date.available 2017-05-11T09:03:46Z
dc.date.issued 2016-01-01
dc.identifier.citation Salpakari , J & Lund , P 2016 , ' Optimal and rule-based control strategies for energy flexibility in buildings with PV ' , Applied Energy , vol. 161 , pp. 425-436 . https://doi.org/10.1016/j.apenergy.2015.10.036 en
dc.identifier.issn 0306-2619
dc.identifier.issn 1872-9118
dc.identifier.other PURE UUID: ac555bfe-a867-4e04-b16b-407b8330f6e2
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/optimal-and-rulebased-control-strategies-for-energy-flexibility-in-buildings-with-pv(ac555bfe-a867-4e04-b16b-407b8330f6e2).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/6557589/salpakari_lund_optimal_and_rule_based_control_APEN_2016.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/25788
dc.description.abstract PV installations in buildings can utilize different on-site flexibility resources to balance mismatch in electricity production and demand. This paper studies cost-optimal and rule-based control for buildings with PV, employing a heat pump, thermal and electrical storage and shiftable loads as flexibility sources to increase the value of PV for the prosumer. The cost-optimal control minimizes variable electricity cost employing market data on electricity price and optionally constrains grid feed-in to zero; the rule-based control aims at maximizing PV self-consumption. The flexibility strategies are combined into a simulation model to analyze different system configurations over a full year. The applicability of the new model is demonstrated with a case study with empirical data from a real low-energy house in Southern Finland. Compared to inflexible reference control with a constant price for bought electricity, cost-optimal control employing hourly market price of electricity achieved 13-25% savings in theyearly electricity bill. Moreover, 8-88% decrease in electricity fed into the grid was obtained. The exact values depend on PV capacity and the flexibility options chosen. Limiting grid feed-in to zero led to less energy efficient control. The most effective flexibility measures in this case turned out to be thermal storage with a heat pump and a battery, whereas shiftable appliances showed only a marginal effect. (C) 2015 Elsevier Ltd. All rights reserved. en
dc.format.extent 12
dc.format.extent 425-436
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries APPLIED ENERGY en
dc.relation.ispartofseries Volume 161 en
dc.rights openAccess en
dc.subject.other 114 Physical sciences en
dc.subject.other 218 Environmental engineering en
dc.title Optimal and rule-based control strategies for energy flexibility in buildings with PV en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Applied Physics
dc.subject.keyword Photovoltaics
dc.subject.keyword Intelligent building
dc.subject.keyword Demand side management
dc.subject.keyword Prosumer
dc.subject.keyword Energy storage
dc.subject.keyword System control
dc.subject.keyword DEMAND-SIDE MANAGEMENT
dc.subject.keyword PHOTOVOLTAIC SELF-CONSUMPTION
dc.subject.keyword RENEWABLE ELECTRICITY
dc.subject.keyword URBAN AREAS
dc.subject.keyword HEAT-PUMPS
dc.subject.keyword SYSTEM
dc.subject.keyword POWER
dc.subject.keyword STORAGE
dc.subject.keyword INTEGRATION
dc.subject.keyword IMPACT
dc.subject.keyword 114 Physical sciences
dc.subject.keyword 218 Environmental engineering
dc.identifier.urn URN:NBN:fi:aalto-201705114163
dc.identifier.doi 10.1016/j.apenergy.2015.10.036
dc.date.embargo info:eu-repo/date/embargoEnd/2018-01-01


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