Iot application for energy poverty detection based on thermal comfort monitoring

López-Vargas, Ascensión; Ledezma-Espino, Agapito

doi:10.1016/j.heliyon.2023.e12943

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Given the harmful effects of EP on economic well-being, most countries throughout the world have made significant efforts to reduce EP during the last few decades, with notable results. The global population without availability of electricity has continuously decreased from 1685 million in 2000 to 775 million in 2019 [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

From darkness to light: Unveiling the asymmetric nexus between energy poverty and environmental quality in South Asia

Rao,

Ali,

Nazar

et al. 2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

From darkness to light: Unveiling the asymmetric nexus between energy poverty and environmental quality in South Asia

Rao,

Ali,

Nazar

et al. 2024

Heliyon

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“…The rapid advancement of IoT and sensor technologies provides a foundation to solve these problems. Research utilizing IoT-based sensor networks to monitor thermal environments, power [6][7][8][9][10][11], and healthcare [12][13][14][15] is actively ongoing [16]. Cabra et al [12] developed a system utilizing an IoT-based wireless sensor network to monitor temperature and humidity in medical environments.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the scarcity of cases characterizing energy poverty households from the perspectives of thermal comfort and indoor air quality, this study contributes by offering relevant insights. López-Vargas et al [16] improved upon previous studies' focus that was solely on energy consumption for detecting energy poverty by utilizing thermal environment monitoring. The developed IoT-based thermal environment monitoring system measured indoor temperature, relative humidity, air quality, and lighting levels hourly, aiding in energy poverty detection.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Indoor Thermal Environment and Occupancy Monitoring for Energy Poverty Care

Yun,

Ryu,

Seo

et al. 2024

Energies

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Energy poverty, defined as difficulty meeting the minimum requirements for a thermal environment, is becoming a significant social issue. To provide efficient welfare services, information provision and monitoring are required. However, characteristics of energy poverty, such as inconsistent residential patterns, small living spaces, and limited electricity and telecommunication resources, lead to a lack of information. This research introduces the empirical results of the development of the system. Based on the feedback from welfare workers and experts supporting energy poverty, a monitoring system combining various sensors was prototyped. This system measures temperature, humidity, illuminance, air velocity, CO2, black bulb temperature, occupancy, and noise and generates indicators for occupancy and thermal environment monitoring. Applicability assessment was conducted across 55 energy poverty households in Korea during the duration of cooling and heating. Subjects were living in spaces averaging 6.3 sqm within buildings over 43 years old and renting on a monthly or weekly basis. Electricity and communication are partially supplied. Based on the actual measurement data and field surveys, the configuration of an energy poverty monitoring system was proposed. In particular, the applicability of the simple methodology for the determination of black bulb temperature, metabolic rate, and clothing insulation required for a thermal environment evaluation was assessed. The proposed system can be efficiently used for taking care of energy poverty where the installation of conventional monitoring systems is restricted.

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Mobile Application Development for Prepaid Water Meter Based on LC Sensor

Purboyo,

Fakhrurroja,

Pramesti

et al. 2024

Sensors

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This study presents a novel low-cost and low-power prepaid water meter system that combines tokenization and LC sensors to monitor water consumption accurately with mobile application via Bluetooth Low Energy (BLE) connectivity compared to conventional meters. Water meters play a vital role in monitoring water usage in Indonesia. Postpaid billing methods that rely on manual data recording are a source of concern due to potential inaccuracies caused by human error. This study presents the development of a prepaid water meter system that integrates LC sensors, BLE connectivity, a tokenization mechanism, and a mobile application to address this issue. The system offers a cost-effective solution by utilizing BLE + Global System for Mobile (GSM) from the user’s mobile phone. Using the design thinking methodology, the mobile application for the prepaid water meter achieved a usability testing score of 80. The load testing results for the back-end server, conducted with a sample size of 515 users, revealed a back-end latency of 1.973 milliseconds and an error rate of 8.74%. Furthermore, the LC sensors integrated into the PWM device showed an average error rate of 1.33%. The power consumption during each work cycle was measured at 129 mA and each battery is expected to last six years. Overall, with simple LC sensors, this system can precisely measure water usage.

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Iot application for energy poverty detection based on thermal comfort monitoring

Cited by 3 publications

References 22 publications

From darkness to light: Unveiling the asymmetric nexus between energy poverty and environmental quality in South Asia

From darkness to light: Unveiling the asymmetric nexus between energy poverty and environmental quality in South Asia

IoT-Based Indoor Thermal Environment and Occupancy Monitoring for Energy Poverty Care

Mobile Application Development for Prepaid Water Meter Based on LC Sensor

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