Monitoring energy consumption of vending machines in university buildings
Vending machines are a convenient source of food and drinks, but they can also be a significant source of energy consumption in public buildings. To reduce energy waste and improve energy efficiency, a low-cost sensor network was used to monitor the energy usage of vending machines. The sensor netwo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723014233 |
| _version_ | 1797378689887895552 |
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| author | Francisco Manzano-Agugliaro Mehdi Chihib Mimoun Chourak José Antonio Martínez Antonio Jesús Zapata-Sierra Alfredo Alcayde |
| author_facet | Francisco Manzano-Agugliaro Mehdi Chihib Mimoun Chourak José Antonio Martínez Antonio Jesús Zapata-Sierra Alfredo Alcayde |
| author_sort | Francisco Manzano-Agugliaro |
| collection | DOAJ |
| description | Vending machines are a convenient source of food and drinks, but they can also be a significant source of energy consumption in public buildings. To reduce energy waste and improve energy efficiency, a low-cost sensor network was used to monitor the energy usage of vending machines. The sensor network consists of small, wireless sensors that are placed inside the vending machines, and a central hub that is connected to the internet via Wi-Fi. The sensors are able to collect data on the energy usage of the vending machines, including when they are idle, in use, or in a standby mode. This data is then transmitted to the central hub, where it is processed and made available to users through a web-based interface or mobile app. With this information, users can identify patterns in energy usage and make changes to reduce overall energy consumption. In a university in southern Spain, 53 vending machines of three types were monitored: snack, cold drinks, and hot drinks. The average monthly consumptions of these types of vending machines were snack (250 kWh), cold drinks (200 kWh), and hot drinks (100 kWh). By using a sensor network to monitor the energy usage of vending machines, it is possible to identify areas where energy is being wasted and make adjustments to reduce this waste. This can help to reduce the environmental impact of the vending machines, by reducing the amount of energy that is consumed and the associated greenhouse gas emissions. Additionally, by making the vending machines more energy efficient, it is possible to improve their overall productivity and cost-effectiveness. Overall, the use of a low-cost sensor network to monitor vending machines energy usage can be seen as a form of cleaner production, because it promotes the use of more sustainable and efficient industrial processes. |
| first_indexed | 2024-03-08T20:11:18Z |
| format | Article |
| id | doaj.art-94306d090661402da7dc8d507565e9d9 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-08T20:11:18Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-94306d090661402da7dc8d507565e9d92023-12-23T05:21:52ZengElsevierEnergy Reports2352-48472023-11-011032523262Monitoring energy consumption of vending machines in university buildingsFrancisco Manzano-Agugliaro0Mehdi Chihib1Mimoun Chourak2José Antonio Martínez3Antonio Jesús Zapata-Sierra4Alfredo Alcayde5Department of Engineering, University of Almeria, CEIA3, Carretera Sacramento s/n, 04120 Almeria, Spain; Corresponding author.Department of Engineering, University of Almeria, CEIA3, Carretera Sacramento s/n, 04120 Almeria, Spain; Mechanics and Applied Mathematics Department, National School of Applied Sciences of Oujda, Mohammed First University, Oujda 60000, MoroccoMechanics and Applied Mathematics Department, National School of Applied Sciences of Oujda, Mohammed First University, Oujda 60000, MoroccoDepartment of Computer Sciences, University of Almeria, CEIA3, Carretera Sacramento s/n, Almería 04120, SpainDepartment of Engineering, University of Almeria, CEIA3, Carretera Sacramento s/n, 04120 Almeria, SpainDepartment of Engineering, University of Almeria, CEIA3, Carretera Sacramento s/n, 04120 Almeria, SpainVending machines are a convenient source of food and drinks, but they can also be a significant source of energy consumption in public buildings. To reduce energy waste and improve energy efficiency, a low-cost sensor network was used to monitor the energy usage of vending machines. The sensor network consists of small, wireless sensors that are placed inside the vending machines, and a central hub that is connected to the internet via Wi-Fi. The sensors are able to collect data on the energy usage of the vending machines, including when they are idle, in use, or in a standby mode. This data is then transmitted to the central hub, where it is processed and made available to users through a web-based interface or mobile app. With this information, users can identify patterns in energy usage and make changes to reduce overall energy consumption. In a university in southern Spain, 53 vending machines of three types were monitored: snack, cold drinks, and hot drinks. The average monthly consumptions of these types of vending machines were snack (250 kWh), cold drinks (200 kWh), and hot drinks (100 kWh). By using a sensor network to monitor the energy usage of vending machines, it is possible to identify areas where energy is being wasted and make adjustments to reduce this waste. This can help to reduce the environmental impact of the vending machines, by reducing the amount of energy that is consumed and the associated greenhouse gas emissions. Additionally, by making the vending machines more energy efficient, it is possible to improve their overall productivity and cost-effectiveness. Overall, the use of a low-cost sensor network to monitor vending machines energy usage can be seen as a form of cleaner production, because it promotes the use of more sustainable and efficient industrial processes.http://www.sciencedirect.com/science/article/pii/S2352484723014233SustainabilityLow-costSensor networkEnergy savingEnergy monitoringVending machines |
| spellingShingle | Francisco Manzano-Agugliaro Mehdi Chihib Mimoun Chourak José Antonio Martínez Antonio Jesús Zapata-Sierra Alfredo Alcayde Monitoring energy consumption of vending machines in university buildings Energy Reports Sustainability Low-cost Sensor network Energy saving Energy monitoring Vending machines |
| title | Monitoring energy consumption of vending machines in university buildings |
| title_full | Monitoring energy consumption of vending machines in university buildings |
| title_fullStr | Monitoring energy consumption of vending machines in university buildings |
| title_full_unstemmed | Monitoring energy consumption of vending machines in university buildings |
| title_short | Monitoring energy consumption of vending machines in university buildings |
| title_sort | monitoring energy consumption of vending machines in university buildings |
| topic | Sustainability Low-cost Sensor network Energy saving Energy monitoring Vending machines |
| url | http://www.sciencedirect.com/science/article/pii/S2352484723014233 |
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