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Research Papers

A Broad Comparison of Solar Photovoltaic and Thermal Technologies for Industrial Heating Applications

[+] Author and Article Information
Osama M. Bany Mousa

School of Mechanical and
Manufacturing Engineering,
The University of New South Wales (UNSW),
Kensington 2052, New South Wales, Australia;
Applied Science Private University,
Amman 11931, Jordan
e-mail: O.banymousa@unsw.edu.au

Robert A. Taylor

School of Mechanical and
Manufacturing Engineering,
The University of New South Wales (UNSW),
Kensington 2052, New South Wales, Australia
e-mail: Robert.Taylor@unsw.edu.au

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received December 15, 2017; final manuscript received July 6, 2018; published online August 13, 2018. Assoc. Editor: M. Keith Sharp.

J. Sol. Energy Eng 141(1), 011002 (Aug 14, 2018) (12 pages) Paper No: SOL-17-1493; doi: 10.1115/1.4040840 History: Received December 15, 2017; Revised July 06, 2018

Solar harvesting designs aim to optimize energy output per unit area. When it comes to choosing between rooftop technologies for generating heat and/or electricity from the sun, though, the literature has favored qualitative arguments over quantitative comparisons. In this paper, an agnostic perspective will be used to evaluate several solar collector designs—thermal, photovoltaic (PV), and hybrid (PV/T) systems—which can result in medium temperature heat for industry rooftops. Using annual trnsys simulations in several characteristic global locations, it was found that a maximum solar contribution (for all selected locations) of 79.1% can be achieved for a sterilization process with a solar thermal (ST) system as compared to 40.6% for a PV system. A 43.2%solar contribution can be obtained with a thermally coupled PV/T, while an uncoupled PV/T beam splitting collector can achieve 84.2%. Lastly, PV and ST were compared in a side-by-side configuration, indicating that this scenario is also feasible since it provides a solar contribution of 75.2%. It was found that the location's direct normal incident (DNI) and global horizontal irradiation (GHI) are the dominant factors in determining the best technology for industrial heating applications. Overall, this paper is significant in that it introduces a comparative simulation strategy to analyze a wide variety of solar technologies for global industrial heat applications.

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Figures

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Fig. 1

Real load profile for one week in February

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Fig. 2

TRNSYS flow diagram for the proposed industrial application

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Fig. 3

Coefficient of performance versus temperature lift for air source (triangles) and ground source (circles) heat pumps (data from Ref. [29])

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Fig. 4

(a) IV and power curves for different irradiation inputs, (b) IV and power curves for different cell temperatures inputs, and (c) current variation with irradiation and cell temperature using trnsys software

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Fig. 5

Heat transfer fluid rate effect on PV cell temperature—Alice Springs/Australia

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Fig. 6

Rooftop area proposed systems distribution

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Fig. 7

Various solar systems verification through annual energy balance

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Fig. 8

Global Annual GHI and DNI fraction

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Fig. 9

Solar outputs for various solar technologies (bars, which correspond to the left y-axis) and their load contribution (lines, with correspond to the right y-axis)—for Alice Springs/Australia (solid bars and open symbols) and Santiago/Chile (hashed bars and symbols)

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Fig. 10

Filter bandwidth effect on uncoupled PV/T splitting collector output (bars, which correspond to the left y-axis) and solar contribution (lines, with correspond to the right y-axis) for two PV cell types (solid bars and open symbols—Alice Springs, hashed bars and symbols—Santiago)

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Fig. 11

(a) DNI ratio and (b) GHI with system solar contribution for different solar thermal to rooftop space ratio worldwide—side by side PV–ST system

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Fig. 12

DNI ratio and system contribution for different beam split technologies

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Fig. 13

Annual solar output (bars, which correspond to the left y-axis) and solar contribution (lines, with correspond to the right y-axis) of the mono PVT split system in several locations

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Fig. 14

Various solar technologies solar output (bars, which correspond to the left y-axis) and their load contribution (lines, with correspondence to the right y-axis) in Chile/Santiago using the TVP collector (solid bars and open symbols) and the PTC collector (hashed bars and symbols)

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Fig. 15

DNI ratio and system contribution for different ST to rooftop space ratio ((a) nonconcentrated—TVP collector and (b) a concentrated—PTC collector)

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