A solar energy harvesting circuit for low power applications

Dondi, D.; Bertacchini, Alessandro; Larcher, Luca; Pavan, Paolo; Brunelli, Davide; Benini, Luca

doi:10.1109/icset.2008.4747143

Cited by 65 publications

(25 citation statements)

References 5 publications

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“…Dondi et al presented a solar energy harvesting circuit for low-power applications [27]. Under different light intensities and different switching frequencies the performance of two implemented prototypes intended to power a wireless embedded system is evaluated.…”

Section: Lightmentioning

confidence: 99%

Current Developments of Energy Scavenging, Converting and Storing in WSNs

Bhaskar¹,

Champawat²,

Bhaskar³

2015

IJCA

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Wireless sensor networks (WSNs) design requires multidisciplinary approach in the field of wireless communication, embedded systems, networking, digital signal processing, hardware and software engineering. Major factors to influence the WSNs design are hardware and software constraints, scalability, cost, transmission media, network topology and power consumption etc. Most of WSN nodes are battery powered. With the limited capacity of batteries to power WSN nodes, need of energy harvester or scavenger is required to harvest or scavenge energy from the environment to improve the life-time of the sensor node. The harvested or scavenged energy is converted by power converters to recharge the sensor nodes or for the storage devices. This paper gives current developments of energy harvesting technologies, power converters and storage devices proposed by various researchers in WSNs along with some open research problems.

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Section: Lightmentioning

confidence: 99%

Current Developments of Energy Scavenging, Converting and Storing in WSNs

Bhaskar¹,

Champawat²,

Bhaskar³

2015

IJCA

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“…Powering an embedded device through a solar energy harvester has been demonstrated to be feasible and highly efficient [15]. The main challenge in such systems is the tradeoff between energy management and computation, because of the non deterministic availability of solar energy.…”

Section: Solar Energy Predictormentioning

confidence: 99%

A scheduling algorithm for consistent monitoring results with solar powered high-performance wireless embedded systems

Dondi

Zappi

Rosing

2011

IEEE/ACM International Symposium on Low Power Electronics and Design

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Abstract-Getting consistent results when monitoring phenomena is a challenging but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy predictor to achieve uniform monitoring over time while maximizing the number of tasks executed. Our approach outperforms state of the art algorithms by increasing the number of daily measurement by 30% and reducing their standard deviation by 5.5x.

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“…The numerous advantages of supercapacitors include their relatively small size, high energy density, nonelectrochemical-based components, high discharge/charge current tolerance, low maintenance requirements, high longevity, zero aging effects, and zero irreversible chemical reaction deratings [32,36]. The ability for high frequency supercapacitor switching increases electricity system architecture efficiency, particularly under conditions of high irradiance volatility [41].…”

Section: Viewing Storage As Both "Power" and "Energy" Capacitymentioning

confidence: 99%

Why Do Electricity Policy and Competitive Markets Fail to Use Advanced PV Systems to Improve Distribution Power Quality?

McHenry

Johnson

Hightower

2016

Journal of Solar Energy

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The increasing pressure for network operators to meet distribution network power quality standards with increasing peak loads, renewable energy targets, and advances in automated distributed power electronics and communications is forcing policy-makers to understand new means to distribute costs and benefits within electricity markets. Discussions surrounding how distributed generation (DG) exhibits active voltage regulation and power factor/reactive power control and other power quality capabilities are complicated by uncertainties of baseline local distribution network power quality and to whom and how costs and benefits of improved electricity infrastructure will be allocated. DG providing ancillary services that dynamically respond to the network characteristics could lead to major network improvements. With proper market structures renewable energy systems could greatly improve power quality on distribution systems with nearly no additional cost to the grid operators. Renewable DG does have variability challenges, though this issue can be overcome with energy storage, forecasting, and advanced inverter functionality. This paper presents real data from a large-scale grid-connected PV array with large-scale storage and explores effective mitigation measures for PV system variability. We discuss useful inverter technical knowledge for policy-makers to mitigate ongoing inflation of electricity network tariff components by new DG interconnection requirements or electricity markets which value power quality and control.

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A solar energy harvesting circuit for low power applications

Cited by 65 publications

References 5 publications

Current Developments of Energy Scavenging, Converting and Storing in WSNs

Current Developments of Energy Scavenging, Converting and Storing in WSNs

A scheduling algorithm for consistent monitoring results with solar powered high-performance wireless embedded systems

Why Do Electricity Policy and Competitive Markets Fail to Use Advanced PV Systems to Improve Distribution Power Quality?

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