Economic Impact of an Optimization-Based SCADA Model for an Office Building
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.22/18520 |
Summary: | The daily increment of electricity usage has led many efforts on the network operators to reduce the consumption in the demand side. The use of renewable energy resources in smart grid concepts became an irrefutable fact around the world. Therefore, real case studies should be developed to validate the business models performance before the massive production. This paper surveys the economic impact of an optimization-based Supervisory Control And Data Acquisition model for an office building by taking advantages of renewable resources for optimally managing the energy consumption. An optimization algorithm is developed for this model to minimize the electricity bill of the building considering day-ahead hourly market prices. In the case study, the proposed system is employed for demonstrating electricity cost reduction by using optimization capabilities based on user preferences and comfort level. The results proved by the performance of the system, which leads to having great economic benefits in the annual electricity cost. |
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Economic Impact of an Optimization-Based SCADA Model for an Office BuildingEnergy OptimizationRenewable resourcesSCADAThe daily increment of electricity usage has led many efforts on the network operators to reduce the consumption in the demand side. The use of renewable energy resources in smart grid concepts became an irrefutable fact around the world. Therefore, real case studies should be developed to validate the business models performance before the massive production. This paper surveys the economic impact of an optimization-based Supervisory Control And Data Acquisition model for an office building by taking advantages of renewable resources for optimally managing the energy consumption. An optimization algorithm is developed for this model to minimize the electricity bill of the building considering day-ahead hourly market prices. In the case study, the proposed system is employed for demonstrating electricity cost reduction by using optimization capabilities based on user preferences and comfort level. The results proved by the performance of the system, which leads to having great economic benefits in the annual electricity cost.SpringerREPOSITÓRIO P.PORTOKhorram Ghahfarrokhi, MahsaFaria, PedroAbrishambaf, OmidVale, Zita2021-09-23T14:51:55Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/18520eng978-3-030-14347-310.1007/978-3-030-14347-3_17info: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:RCAAP2025-04-02T03:15:06Zoai:recipp.ipp.pt:10400.22/18520Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:48:27.230193Repositórios 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 |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
title |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
spellingShingle |
Economic Impact of an Optimization-Based SCADA Model for an Office Building Khorram Ghahfarrokhi, Mahsa Energy Optimization Renewable resources SCADA |
title_short |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
title_full |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
title_fullStr |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
title_full_unstemmed |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
title_sort |
Economic Impact of an Optimization-Based SCADA Model for an Office Building |
author |
Khorram Ghahfarrokhi, Mahsa |
author_facet |
Khorram Ghahfarrokhi, Mahsa Faria, Pedro Abrishambaf, Omid Vale, Zita |
author_role |
author |
author2 |
Faria, Pedro Abrishambaf, Omid Vale, Zita |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
dc.contributor.author.fl_str_mv |
Khorram Ghahfarrokhi, Mahsa Faria, Pedro Abrishambaf, Omid Vale, Zita |
dc.subject.por.fl_str_mv |
Energy Optimization Renewable resources SCADA |
topic |
Energy Optimization Renewable resources SCADA |
description |
The daily increment of electricity usage has led many efforts on the network operators to reduce the consumption in the demand side. The use of renewable energy resources in smart grid concepts became an irrefutable fact around the world. Therefore, real case studies should be developed to validate the business models performance before the massive production. This paper surveys the economic impact of an optimization-based Supervisory Control And Data Acquisition model for an office building by taking advantages of renewable resources for optimally managing the energy consumption. An optimization algorithm is developed for this model to minimize the electricity bill of the building considering day-ahead hourly market prices. In the case study, the proposed system is employed for demonstrating electricity cost reduction by using optimization capabilities based on user preferences and comfort level. The results proved by the performance of the system, which leads to having great economic benefits in the annual electricity cost. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2021-09-23T14:51:55Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/18520 |
url |
http://hdl.handle.net/10400.22/18520 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-3-030-14347-3 10.1007/978-3-030-14347-3_17 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
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Springer |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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