Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Other Authors: | , |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10400.22/16798 |
Summary: | Due to the high penetration of the buildings in energy consumption, the use of optimization algorithms plays a key role. Therefore, all the producers and prosumers should be equipped with the automation infrastructures as well as intelligent decision algorithms, in order to perform the management programs, like demand response. This paper proposes a multi-period optimization algorithm implemented in a multi-agent Supervisory Control and Data Acquisition system of an office building. The algorithm optimizes the lighting power consumption of the building considering the user comfort constraints. A case study is implemented in order to validate and survey the performance of the implemented optimization algorithm using real consumption data of the building. The outcomes of the case study show the great impact of the user comfort constraints in the optimization level by respect to the office user’s preferences. |
| id |
RCAP_3b20b0e97ba10647ccd3b1beace6b38f |
|---|---|
| oai_identifier_str |
oai:recipp.ipp.pt:10400.22/16798 |
| network_acronym_str |
RCAP |
| network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| repository_id_str |
https://opendoar.ac.uk/repository/7160 |
| spelling |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort LevelMulti-period optimizationSCADAUser comfortOffice buildingDue to the high penetration of the buildings in energy consumption, the use of optimization algorithms plays a key role. Therefore, all the producers and prosumers should be equipped with the automation infrastructures as well as intelligent decision algorithms, in order to perform the management programs, like demand response. This paper proposes a multi-period optimization algorithm implemented in a multi-agent Supervisory Control and Data Acquisition system of an office building. The algorithm optimizes the lighting power consumption of the building considering the user comfort constraints. A case study is implemented in order to validate and survey the performance of the implemented optimization algorithm using real consumption data of the building. The outcomes of the case study show the great impact of the user comfort constraints in the optimization level by respect to the office user’s preferences.ElsevierREPOSITÓRIO P.PORTOKhorram Ghahfarrokhi, MahsaFaria, PedroVale, Zita2021-01-29T15:09:50Z20202020-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/16798eng978-3-030-23946-610.1007/978-3-030-23946-6_3info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T02:56:54Zoai:recipp.ipp.pt:10400.22/16798Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:29:43.446966Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| title |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| spellingShingle |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level Khorram Ghahfarrokhi, Mahsa Multi-period optimization SCADA User comfort Office building |
| title_short |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| title_full |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| title_fullStr |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| title_full_unstemmed |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| title_sort |
Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level |
| author |
Khorram Ghahfarrokhi, Mahsa |
| author_facet |
Khorram Ghahfarrokhi, Mahsa Faria, Pedro Vale, Zita |
| author_role |
author |
| author2 |
Faria, Pedro Vale, Zita |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
| dc.contributor.author.fl_str_mv |
Khorram Ghahfarrokhi, Mahsa Faria, Pedro Vale, Zita |
| dc.subject.por.fl_str_mv |
Multi-period optimization SCADA User comfort Office building |
| topic |
Multi-period optimization SCADA User comfort Office building |
| description |
Due to the high penetration of the buildings in energy consumption, the use of optimization algorithms plays a key role. Therefore, all the producers and prosumers should be equipped with the automation infrastructures as well as intelligent decision algorithms, in order to perform the management programs, like demand response. This paper proposes a multi-period optimization algorithm implemented in a multi-agent Supervisory Control and Data Acquisition system of an office building. The algorithm optimizes the lighting power consumption of the building considering the user comfort constraints. A case study is implemented in order to validate and survey the performance of the implemented optimization algorithm using real consumption data of the building. The outcomes of the case study show the great impact of the user comfort constraints in the optimization level by respect to the office user’s preferences. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2021-01-29T15:09:50Z |
| dc.type.driver.fl_str_mv |
book part |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/16798 |
| url |
http://hdl.handle.net/10400.22/16798 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
978-3-030-23946-6 10.1007/978-3-030-23946-6_3 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
| instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
| instacron_str |
RCAAP |
| institution |
RCAAP |
| reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
| repository.mail.fl_str_mv |
info@rcaap.pt |
| _version_ |
1833600558927183872 |