On enhancing energy harvesting performance of the photovoltaic modules using an automatic cooling system and assessing its economic benefits of mitigating greenhouse effects on the environment

Wang, Jen-Cheng; Liao, Minfu; Lee, Yeun-Chung; Liu, Chengyue; Kuo, Kun‐Chang; Chou, Cheng‐Ying; Huang, Chen-Kang; Jiang, Joe‐Air

doi:10.1016/j.jpowsour.2017.11.051

Cited by 21 publications

(7 citation statements)

References 32 publications

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“…The transceiver module LoRa signal band is 433-915Mhz, to meet the bypass signal loss requirements, the model applicable to the loss monitoring in this band is Egli model, which can be more accurate to evaluate the terrain field strength in mountainous and hilly areas, etc. The Egli signal loss expression is seen in equation (3).…”

Section: R T Ps E E L mentioning

confidence: 99%

“…Wireless sensor network has the characteristics of bottom power consumption, simple application and easy expandability; therefore, wireless sensor network also has a very wide application in the field of smart grid power data acquisition, cable status monitoring, grid fault diagnosis, etc. [2][3]. With the advent of the information era, smart grid construction has become the new goal of China's power grid development.…”

Section: Introductionmentioning

confidence: 99%

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Research on High Voltage Cable Condition Detection Technology based on Wireless Sensor Network

Zhao¹,

Liu²,

Shang³

et al. 2022

IJACSA

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The development and progress of modern society cannot be achieved without the support of electric power resources, and at present, electric power is the most important energy source to promote social development and maintain human life. As a key unit under the power distribution and transmission system, the high-voltage cable of the power grid will undertake the task of supplying power resources to the whole power grid. Therefore, based on the transmission line fault diagnosis framework of Wireless Sensor Networks (WSN), a high-voltage cable path condition monitoring scheme using LoRa technology is proposed. Three high-voltage cable condition monitoring periods are proposed according to the difference of high-voltage cable fault rate, and the delay and energy consumption of the high-voltage cable monitoring system are optimized by multi-objective particle swarm algorithm reality. The experimental results show that the proposed high-voltage cable detection technology can switch the working mode according to different environments, and the data communication packet loss rate is less than 5%, while the detection platform has excellent delay performance and energy saving effect. The high-voltage cable status detection solution can effectively solve the problem of blind high-voltage cable channels in high mountain areas of China. The research content has important reference value for the detection of China's power grid circuit system.

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Section: R T Ps E E L mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on High Voltage Cable Condition Detection Technology based on Wireless Sensor Network

Zhao¹,

Liu²,

Shang³

et al. 2022

IJACSA

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“…Following the same idea of the previous researchers, Wang et al [46] worked to a similar cooling system but the focus was on the system automation. The result is an automatic water cooling system based on the wireless sensor network technology.…”

Section: Cooling System Technologiesmentioning

confidence: 99%

Spraying Cooling System for PV Modules: Experimental Measurements for Temperature Trends Assessment and System Design Feasibility

Benato

Stoppato

Vanna

et al. 2021

Designs

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The hallmark of the PhotoVoltaic (PV) electricity generation is its sustainability, while its main weakness is the low conversion efficiency. A drawback to which is added the PV cell sensitivity to temperature variations: the higher the cell operating temperature, the lower the efficiency. Considering that in-operation modules reach a conversion efficiency in the range of 10 to 15%, there is an urgent need to control their temperature to enhance the electricity generation. To this purpose, the authors developed a PV spraying cooling system able to drastically knockdown modules operating temperature. Using experimental measurements acquired through a dedicated test rig and after an in-depth literature review, the authors analyze the nozzles number, geometry, and position, as well as water and module’s temperature distribution, limestones formation, degradation of front glass properties, water consumption, and module power production with and without the cooling system. The experimental campaign shows that a cooling system equipped with three nozzles with a spraying angle of 90°, powered by water at 1.5 bar and managed in ON/OFF mode (30 s on to 180 s off), can improve the module’s efficiency from 11.18% to 13.27% thanks to a temperature reduction of up to 24 °C. Despite the improvement in electricity production (from 178.88 W to 212.31 W per single module), at the time of writing, the equipment and installation costs as well as the plant arrangement complexity make the investment not eligible for financing also in the case of a 1 MW floating PV facilities.

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“…Indeed, sizes are not always directly proportional to performances as manufacturing processes and constructing materials play a key role [11]. Moreover, photovoltaic panels performances could be enhanced by supplying panels with cooling systems [12]. Without losing consistency, photovoltaic energy harvesting may be also employed within indoor environments provided that ad hoc systems are adopted [13,14].…”

Section: Energy Harvesting Techniques For Wireless Sensor Networkmentioning

confidence: 99%

A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

Peruzzi

Pozzebon

2020

Energies

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The emergence of Internet of Things (IoT) architectures and applications has been the driver for a rapid growth in wireless technologies for the Machine-to-Machine domain. In this context, a crucial role is being played by the so-called Low Power Wide Area Networks (LPWANs), a bunch of transmission technologies developed to satisfy three main system requirements: low cost, wide transmission range, and low power consumption. This last requirement is especially crucial as IoT infrastructures should operate for long periods on limited quantities of energy: to cope with this limitation, energy harvesting is being applied every day more frequently, and several different techniques are being tested for LPWAN systems. The aim of this survey paper is to provide a detailed overview of the the existing LPWAN systems relying on energy harvesting for their powering. In this context, the different LPWAN technologies and protocols will be discussed and, for each technology, the applied energy harvesting techniques will be described as well as the architecture of the power management units when present.

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On enhancing energy harvesting performance of the photovoltaic modules using an automatic cooling system and assessing its economic benefits of mitigating greenhouse effects on the environment

Cited by 21 publications

References 32 publications

Research on High Voltage Cable Condition Detection Technology based on Wireless Sensor Network

Research on High Voltage Cable Condition Detection Technology based on Wireless Sensor Network

Spraying Cooling System for PV Modules: Experimental Measurements for Temperature Trends Assessment and System Design Feasibility

A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

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