Maximising the energy output of a PVT air system

Bambrook, Shelley; Sproul, Alistair B.

doi:10.1016/j.solener.2012.02.038

Cited by 165 publications

(41 citation statements)

References 15 publications

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“…Bambrook and Sproul [34] considered model presented by Bambrook [25] and reported the maximum temperature rise (DT m ) for a PV/T collector assuming as follows:…”

Section: Discussionmentioning

confidence: 99%

Channel depth, air mass flow rate and air distribution duct diameter optimization of photovoltaic thermal (PV/T) air collectors linked to residential buildings

2015

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a b s t r a c tPhotovoltaic thermal (PV/T) air collector design requires an accurate determination of key parameters such as the channel depth and the air mass flow rate. This paper focuses on PV/T air collectors linked to an air distribution system with the aim of optimizing the channel depth, the air mass flow rate per unit collector area and the air distribution duct diameter considering the whole system performance. A weighted effective thermal energy output which includes electrical and thermal energy generated and fan power usage was utilized to examine the energy performance of the whole system. This study models PV/T air collectors with various collector areas (A c ¼ 10, 15, 25 and 30 m 2 ) and different length to width ratios (L/W ¼ 0.5, 1, 1.5 and 2) linked to an air distribution system of a typical residential building in a climate with a mild winter (e.g. Sydney). For a constant temperature rise (DT ¼ 10 C), and maximizing the rate of effective thermal energy output per unit collector area ( _ Q eff ) delivered to the building, the optimum channel depth (D opt ), the air mass flow per unit collector area ( _ m=A c ), and the air distribution duct diameter were optimized. The optimum value of _ m=A c is almost constant and approximately equal to 0.021 kg/s m 2 . The optimum depth (D opt ) value varies between 0.09 and 0.026 m and the optimum air distribution duct varies between 0.3 and 0.5 m. The optimum depth increases as the collector L/W ratio and the collector area (A c ) increase.

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“…Bambrook and Sproul [34] considered model presented by Bambrook [25] and reported the maximum temperature rise (DT m ) for a PV/T collector assuming as follows:…”

Section: Discussionmentioning

confidence: 99%

Channel depth, air mass flow rate and air distribution duct diameter optimization of photovoltaic thermal (PV/T) air collectors linked to residential buildings

2015

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“…Tchinca [10] provided a comprehensive review of mathematical models for different types of SAH systems. A high number of numerical simulations have also been conducted to investigate the thermal and electrical performance of PVT collectors [11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Development of a dynamic model for a hybrid photovoltaic thermal collector – Solar air heater with fins

Fan

Kokogiannakis

et al. 2017

Renewable Energy

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A dynamic model for a hybrid Photovoltaic Thermal Collector-Solar Air Heater (PVT-SAH) with longitudinal fins was developed to enable assessment of the potential of the system to provide high temperature outlet air (60-90 °C) under dynamic boundary conditions. The model description includes the method for discretising the system into a number of control volumes, the energy balance equations for each control volume and the implementation of the numerical solution. Model validation has been successfully undertaken by using empirical verification of model predictions with an experimental facility and by comparing the model outputs with the reference data from the literature. The dynamic PVT-SAH model was then used under variable boundary conditions and its performance was compared with an equivalent steady state model. Significant Time Constants (TC) were observed and it was found that the steady state model could overestimate the thermal energy gains of PVT-SAH by 35% when compared with the predictions of the dynamic model. Additional simulations were run under fixed boundary conditions to shown the effect of fins on the performance of the PVT-SAH system. Finally, to demonstrate the benefits of using such a dynamic PVT-SAH model, a case study was used and the effect of length ratio of PVT to SAH was investigated by using a range of performance criteria. Additional simulations were run under fixed boundary conditions to shown the effect of fins on the performance of the PVT-SAH system. Finally, to demonstrate the benefits of using such a dynamic PVT-SAH model, a case study was used and the effect of length ratio of PVT to SAH was investigated by using a range of performance criteria.

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“…As it provides heat production, fluid circulation in the back of PV/T panel improves electrical efficiency of PV cells [14]. As for the PV/T produced thermal energy is used to heat seawater so as to increase the efficiency of (RO) desalination process [15].…”

Section: Introductionmentioning

confidence: 99%

Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

Ammous¹,

Charfi²,

Harb³

et al. 2016

IJMNTA

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Photovoltaic based reverse osmosis desalination systems (PV/RO) present an effective method of water desalination especially in remote areas. The increase of the feed water temperature leads to an amelioration of the plant performances. Photovoltaic Thermal Collector (PV/T) represents an ideal power source as it provides both electric and thermal energies for the reverse osmosis process. Nevertheless, PV/T based RO plants should be controlled in order to solve operation problems related to electrical efficiency, reverse osmosis membrane, produced water and the rejected salts. This paper suggests a fuzzy logic controller for the flow rate of the circulating fluid into the PV/T collectors so as to ameliorate the system performances. The designed controller has improved the PV/T field electrical efficiency and preserved the reverse osmosis membrane which upgrades the system productivity. LABVIEW software is used to simulate the controlled system and validate the effectiveness of the controller.

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Maximising the energy output of a PVT air system

Cited by 165 publications

References 15 publications

Channel depth, air mass flow rate and air distribution duct diameter optimization of photovoltaic thermal (PV/T) air collectors linked to residential buildings

Channel depth, air mass flow rate and air distribution duct diameter optimization of photovoltaic thermal (PV/T) air collectors linked to residential buildings

Development of a dynamic model for a hybrid photovoltaic thermal collector – Solar air heater with fins

Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

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