Publication
Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings
dc.contributor.author | Foroozandeh, Zahra | |
dc.contributor.author | Ramos, Sérgio | |
dc.contributor.author | Soares, João | |
dc.contributor.author | Vale, Zita | |
dc.date.accessioned | 2022-07-07T08:44:26Z | |
dc.date.available | 2022-07-07T08:44:26Z | |
dc.date.issued | 2021 | |
dc.description.abstract | This paper proposed a Mixed Binary Linear Programming (MBLP) approach to find the optimal size of some components of a Smart Building (SB) attempting to reduce the overall cost. The considered SB is equipped with local resources such as Photovoltaic (PV) panels, Electrical Vehicles (EVs), and the Battery Energy Storage System (BESS). Moreover, the SB is only connected with the grid by an Energy Management System (EMS) in which the whole SB has a single Contract Power (CP) such that EMS manages the power flow among external grid, local resources, apartments, and common services, for the goal of reducing the electricity bill. Hence, the wrong choice of CP and BESS capacity will impose unnecessary charges on the electricity bill. As a results, EMS has played a crucial role in SB in determining the best CP and BESS values. The obtained results of this work show the efficiency of the model in which by finding the optimal capacity of CP and BESS, the electricity bill improves by a 34% reduction | pt_PT |
dc.description.sponsorship | This work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE-PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 grant. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1109/ISGTEurope52324.2021.9640123 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/20667 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | IEEE | pt_PT |
dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
dc.relation | Not Available | |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9640123 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Energy Management System | pt_PT |
dc.subject | Mixed Binary Linear Programming | pt_PT |
dc.subject | Optimal value of Contract Power | pt_PT |
dc.subject | Optimal Size of BESS | pt_PT |
dc.subject | Renewable Energy | pt_PT |
dc.subject | Smart Building | pt_PT |
dc.title | Optimal Contract Power and Battery Energy Storage System Capacity for Smart Buildings | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
oaire.awardTitle | Not Available | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F29070%2F2017/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT | |
oaire.citation.conferencePlace | Escopo, Finland | pt_PT |
oaire.citation.endPage | 5 | pt_PT |
oaire.citation.startPage | 1 | pt_PT |
oaire.citation.title | IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) | pt_PT |
oaire.fundingStream | 9471 - RIDTI | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | CEEC IND 2017 | |
person.familyName | forouzandehjouneghani | |
person.familyName | Carvalho Ramos | |
person.familyName | Soares | |
person.familyName | Vale | |
person.givenName | zahra | |
person.givenName | Sérgio Filipe | |
person.givenName | João | |
person.givenName | Zita | |
person.identifier | zahra foroozandeh | |
person.identifier | 1043580 | |
person.identifier | 632184 | |
person.identifier.ciencia-id | C71B-D2A3-8705 | |
person.identifier.ciencia-id | 6D1F-C495-6660 | |
person.identifier.ciencia-id | 1612-8EA8-D0E8 | |
person.identifier.ciencia-id | 721B-B0EB-7141 | |
person.identifier.orcid | 0000-0003-3901-690X | |
person.identifier.orcid | 0000-0002-1120-5656 | |
person.identifier.orcid | 0000-0002-4172-4502 | |
person.identifier.orcid | 0000-0002-4560-9544 | |
person.identifier.rid | A-5824-2012 | |
person.identifier.scopus-author-id | 35436109600 | |
person.identifier.scopus-author-id | 7004115775 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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