Indoor Power Harvesting Using Photovoltaic Cells for Low-Power Applications

Javanmard, Naser; Vafadar, Ghorban; Nasiri, Adel

doi:10.1109/tie.2009.2020703

Cited by 151 publications

(81 citation statements)

References 14 publications

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“…PV energy harvesting approaches for powering applications have been compared to this work in Table IV in terms of the adoption of functional blocks of DC-DC convertor, MPPT and illumination restrictions. Compared to other powering applications, such as powering indoor low-power system with MPPT [14], using assumption of fixed indoor illumination to exempt MTTP [26] and the "storage-less and converter-less" strategy with MPPT for powering the IoT [21], the simple charger power management scheme employed in the newly designed IPEHPM provides a DC-DC convertor-free and MPPT-free solution, enabling powering IoT nodes using PV energy harvesting at all indoor illumination conditions with the minimum power consumption. Fig.12 (refer to time from 8 to 22 hours) is slightly nonlinear.…”

Section: B Experiments Set-up and Measurement Resultsmentioning

confidence: 99%

Development of an Indoor Photovoltaic Energy Harvesting Module for Autonomous Sensors in Building Air Quality Applications

Yue

Kauer

Bellanger

et al. 2017

IEEE Internet Things J.

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Section: B Experiments Set-up and Measurement Resultsmentioning

confidence: 99%

Development of an Indoor Photovoltaic Energy Harvesting Module for Autonomous Sensors in Building Air Quality Applications

Yue

Kauer

Bellanger

et al. 2017

IEEE Internet Things J.

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“…However, under typical indoor lighting conditions (1~5 W/m 2 light intensity conditions), monocrystaline PV cells have an efficiency of less than 1%~3%, while amorphous PV cells are more sensitive to different wavelengths, so the latter exhibit higher efficiencies (3%~7%). This means that the photovoltaic cells can provide a power density ranging from 0.1 to 0.3 mW/cm 2 under indoor artificial illumination conditions [3]. In view of the typically constant illumination conditions of indoor applications, the maximum power point can be easily determined and the maximum power point tracking circuit in the power management system can be simplified substantially.…”

Section: Introductionmentioning

confidence: 99%

Development of an Indoor Airflow Energy Harvesting System for Building Environment Monitoring

et al. 2014

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Wireless sensor networks (WSNs) have been widely used for intelligent building management applications. Typically, indoor environment parameters such as illumination, temperature, humidity and air quality are monitored and adjusted by an intelligent building management system. However, owing to the short life-span of the batteries used at the sensor nodes, the maintenance of such systems has been labor-intensive and time-consuming. This paper discusses a battery-less self-powering system that converts the mechanical energy from the airflow in ventilation ducts into electrical energy. The system uses a flutter energy conversion device (FECD) capable of working at low airflow speeds while installed on the ventilation ducts inside of buildings. A power management strategy implemented with a circuit system ensures sufficient power for driving commercial electronic devices. For instance, the power management circuit is capable of charging a 1 F super capacitor to 2 V under ventilation duct airflow speeds of less than 3 m/s.

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“…On the other hand, PV cells provide a fairly stable DC voltage through much of their operating space Roundy et al (2004). Various works utilizing solar harvesting/scavenging techniques demonstrated the suitable of indoor PV in supplying alternate energy to small, low-power consuming devices, complemented with batteries within the system Hande et al (2007), Nasiri et al (2009).…”

Section: Introductionmentioning

confidence: 99%