A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences
The world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm. ; The present work was done and funded in the scope of the following projects: COLORS Project PTDC/EEI-EEE/28967/2017 and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT. ; info:eu-repo/semantics/publishedVersion
Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences
The world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm. ; The present work was done and funded in the scope of the following projects: COLORS Project PTDC/EEI-EEE/28967/2017 and UID/EEA/00760/2019 funded by FEDER Funds through COMPETE program and by National Funds through FCT. ; info:eu-repo/semantics/publishedVersion
Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences
Khorram Ghahfarrokhi, Mahsa (author) / Faria, Pedro (author) / Vale, Zita (author)
2019-09-01
Conference paper
Electronic Resource
English
DDC:
690
Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences
| BASE | 2019
Lighting Consumption Optimization in an Office Building for Demand Response Participation
| BASE | 2018
Lighting Consumption Optimization in an Office Building for Demand Response Participation
| BASE | 2019
| BASE | 2018
| BASE | 2018