Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints
The variable refrigerant flow system is one of the best heating, ventilation, and air conditioning systems (HVAC) thanks to its ability to provide thermal comfort inside buildings. But, at the same time, these systems are considered one of the most energy-consuming systems in the building sector. Th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_03032.pdf |
| _version_ | 1827921248198328320 |
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| author | Es-Sakali Niima Kaitouni Samir Idrissi Laasri Imad Ait Mghazli Mohamed Oualid Cherkaoui Moha Pfafferott Jens |
| author_facet | Es-Sakali Niima Kaitouni Samir Idrissi Laasri Imad Ait Mghazli Mohamed Oualid Cherkaoui Moha Pfafferott Jens |
| author_sort | Es-Sakali Niima |
| collection | DOAJ |
| description | The variable refrigerant flow system is one of the best heating, ventilation, and air conditioning systems (HVAC) thanks to its ability to provide thermal comfort inside buildings. But, at the same time, these systems are considered one of the most energy-consuming systems in the building sector. Thus, it is crucial to well size the system according to the building’s cooling and heating needs and the indoor temperature fluctuations. Although many researchers have studied the optimization of the building energy performance considering heating or cooling needs, using air handling units, radiant floor heating, and direct expansion valves, few studies have considered the use of multi-objective optimization using only the thermostat setpoints of VRF systems for both cooling and heating needs. Thus, the main aim of this study is to conduct a sensitivity analysis and a multi-objective optimization strategy for a residential building containing a variable refrigerant flow system, to evaluate the effect of the building performance on energy consumption and improve the building energy efficiency. The numerical model was based on the EnergyPlus, jEPlus, and jEPlus+EA simulation engines. The approach used in this paper has allowed us to reach significant quantitative energy saving by varying the cooling and heating setpoints and scheduling scenarios. It should be stressed that this approach could be applied to several HVAC systems to reduce energy-building consumption. |
| first_indexed | 2024-03-13T04:23:22Z |
| format | Article |
| id | doaj.art-f63a530c38714ba2bc7f95fb4a28a6eb |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-13T04:23:22Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-f63a530c38714ba2bc7f95fb4a28a6eb2023-06-20T09:04:07ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013960303210.1051/e3sconf/202339603032e3sconf_iaqvec2023_03032Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpointsEs-Sakali Niima0Kaitouni Samir Idrissi1Laasri Imad Ait2Mghazli Mohamed Oualid3Cherkaoui Moha4Pfafferott Jens5LMAID laboratory, Rabat National School of MinesGreen Energy Park (IRESEN, UM6P)Green Energy Park (IRESEN, UM6P)Green Energy Park (IRESEN, UM6P)LMAID laboratory, Rabat National School of MinesInstitute of Energy Systems Technology, Offenburg University of Applied SciencesThe variable refrigerant flow system is one of the best heating, ventilation, and air conditioning systems (HVAC) thanks to its ability to provide thermal comfort inside buildings. But, at the same time, these systems are considered one of the most energy-consuming systems in the building sector. Thus, it is crucial to well size the system according to the building’s cooling and heating needs and the indoor temperature fluctuations. Although many researchers have studied the optimization of the building energy performance considering heating or cooling needs, using air handling units, radiant floor heating, and direct expansion valves, few studies have considered the use of multi-objective optimization using only the thermostat setpoints of VRF systems for both cooling and heating needs. Thus, the main aim of this study is to conduct a sensitivity analysis and a multi-objective optimization strategy for a residential building containing a variable refrigerant flow system, to evaluate the effect of the building performance on energy consumption and improve the building energy efficiency. The numerical model was based on the EnergyPlus, jEPlus, and jEPlus+EA simulation engines. The approach used in this paper has allowed us to reach significant quantitative energy saving by varying the cooling and heating setpoints and scheduling scenarios. It should be stressed that this approach could be applied to several HVAC systems to reduce energy-building consumption.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_03032.pdf |
| spellingShingle | Es-Sakali Niima Kaitouni Samir Idrissi Laasri Imad Ait Mghazli Mohamed Oualid Cherkaoui Moha Pfafferott Jens Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints E3S Web of Conferences |
| title | Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints |
| title_full | Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints |
| title_fullStr | Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints |
| title_full_unstemmed | Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints |
| title_short | Building energy efficiency improvement using multi-objective optimization for heating and cooling VRF thermostat setpoints |
| title_sort | building energy efficiency improvement using multi objective optimization for heating and cooling vrf thermostat setpoints |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/33/e3sconf_iaqvec2023_03032.pdf |
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