Energy prediction of Amonix CPV solar power plants

Kinsey, Geoffrey S.; Stone, Kenneth W.; Brown, J.T.; Garboushian, Vahan

doi:10.1002/pip.1037

Cited by 42 publications

(25 citation statements)

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“…The most interesting finding is that the Correlation Coefficients (R [4,35,36], but this is the first proposal for a prediction method without the direct measurement of the DNI.…”

Section: Discussionmentioning

confidence: 99%

Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations

2012

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Abstract:A method for the prediction of Energy Production (EP) in Concentrating Photovoltaic (CPV) installations is examined in this study. It presents a new method that predicts EP by using Global Horizontal Irradiation (GHI) and the Photovoltaic Geographical Information System (PVGIS) database, instead of Direct Normal Irradiation (DNI) data, which are rarely recorded at most locations. EP at four Spanish CPV installations is analyzed: two are based on silicon solar cells and the other two on multi-junction III-V solar cells. The real EP is compared with the predicted EP. Two methods for EP prediction are presented. In the first preliminary method, a monthly Performance Ratio (PR) is used as an arbitrary constant value (75%) and an estimation of the DNI. The DNI estimation is obtained from GHI measurements and the PVGIS database. In the second method, a lineal model is proposed for the first time in this paper to obtain the predicted EP from the estimated DNI. This lineal model is the regression line that correlates the real monthly EP and the estimated DNI in 2009. This new method implies that the monthly PR is variable. Using the new method, the difference between the predicted and the real EP values is less than 2% for the annual EP and is in the range of 5.6%-16.1% for the monthly EP. The method that uses the variable monthly PR allows the prediction of the EP with reasonable accuracy. It is therefore possible to predict the CPV EP for any location, using only widely available GHI data and the PVGIS database. OPEN ACCESSEnergies 2011, 4 771

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“…The most interesting finding is that the Correlation Coefficients (R [4,35,36], but this is the first proposal for a prediction method without the direct measurement of the DNI.…”

Section: Discussionmentioning

confidence: 99%

Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations

2012

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“…Solar photon ux utilization can be maximized by employing multiple smaller band gap absorber layers connected in series to yield a combined voltage large enough to split water at relevant reaction rates. This approach has proven successful in the photovoltaic industry [17][18][19] as well as in laboratory PEC water splitting devices. 6,7,9 The generation of the requisite photovoltage is a necessary but insufficient condition to split water.…”

Section: Basic Operation Principlesmentioning

confidence: 99%

Technical and economic feasibility of centralized facilities for solar hydrogen production via photocatalysis and photoelectrochemistry

Pinaud

Benck

Seitz

et al. 2013

Energy Environ. Sci.

1,245

1,069

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Photoelectrochemical water splitting is a promising route for the renewable production of hydrogen fuel. This work presents the results of a technical and economic feasibility analysis conducted for four hypothetical, centralized, large-scale hydrogen production plants based on this technology. The four reactor types considered were a single bed particle suspension system, a dual bed particle suspension system, a fixed panel array, and a tracking concentrator array. The current performance of semiconductor absorbers and electrocatalysts were considered to compute reasonable solar-tohydrogen conversion efficiencies for each of the four systems. The U.S. Department of Energy H2A model was employed to calculate the levelized cost of hydrogen output at the plant gate at 300 psi for a 10 tonne per day production scale. All capital expenditures and operating costs for the reactors and auxiliaries (compressors, control systems, etc.) were considered. The final cost varied from $1.60-$10.40 per kg H 2 with the particle bed systems having lower costs than the panel-based systems. However, safety concerns due to the cogeneration of O 2 and H 2 in a single bed system and long molecular transport lengths in the dual bed system lead to greater uncertainty in their operation. A sensitivity analysis revealed that improvement in the solar-to-hydrogen efficiency of the panel-based systems could substantially drive down their costs. A key finding is that the production costs are consistent with the Department of Energy's targeted threshold cost of $2.00-$4.00 per kg H 2 for dispensed hydrogen, demonstrating that photoelectrochemical water splitting could be a viable route for hydrogen production in the future if material performance targets can be met. Broader contextAs global energy consumption continues to rise, it is imperative that we develop renewable alternatives to the fossil fuel energy sources that currently power our civilization, curb CO 2 emissions, and secure a permanent energy supply for the future. Although the solutions to these global challenges are likely to consist of many different energy storage and conversion technologies, sustainably produced chemical fuels will likely play an important role due to their high energy density. Hydrogen gas is an especially promising energy carrier, but current hydrogen production processes such as steam methane reforming are unsustainable. Photoelectrochemical (PEC) water splitting is an alternative process that enables sustainable hydrogen production from water using the energy from sunlight. PEC water splitting has been demonstrated on the laboratory scale, but it has never been implemented on a large scale relevant to the global energy demand, so the prospects for scaling up this process have remained controversial. The present paper addresses the technical and economic feasibility of plants producing hydrogen via PEC water splitting. We establish practical operating efficiencies for PEC reactors, detail four potential reactor and centralized plant designs, and discuss the...

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“…However, at the present the models tailored to the special features of this technology and their validation with real data of HCPV systems are scarce [25,26]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Model for estimating the energy yield of a high concentrator photovoltaic system

Férnández

Pérez‐Higueras

Almonacid

et al. 2015

Energy

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Energy prediction of Amonix CPV solar power plants

Cited by 42 publications

References 1 publication

Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations

Analysis and Prediction of Energy Production in Concentrating Photovoltaic (CPV) Installations

Technical and economic feasibility of centralized facilities for solar hydrogen production via photocatalysis and photoelectrochemistry

Model for estimating the energy yield of a high concentrator photovoltaic system

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