Accuracy of Energy Yield Prediction of Photovoltaic Modules

Roy, Jyotirmoy; Betts, Thomas R.; Gottschalg, Ralph

doi:10.1143/jjap.51.10nf01

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…For example, one area of emerging PV innovation is building integrated PV (BIPV), where PV generating materials can be incorporated into building facades, etc. [37]. The framework could hence be adapted to investigate building facade area as well as roof space to consider how much PV could be installed in the future [38].…”

Section: Discussionmentioning

confidence: 99%

A Novel Geographical Information Systems Framework to Characterize Photovoltaic Deployment in the UK: Initial Evidence

Westacott

Candelise

2016

Energies

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Globally, deployment of grid-connected photovoltaics (PV) has increased dramatically in recent years. The UK has seen rapid uptake reaching over 500,000 installations totalling 2.8 GWp by 2013. PV can be installed in different market segments (domestic rooftop, non-domestic rooftop and ground-mounted "solar-farms") covering a broad range of system sizes in a high number of locations. It is important to gain detailed understanding of what grid-connected PV deployment looks like (e.g., how it deployed across different geographic areas and market segments), and identify the major drivers behind it. This paper answers these questions by developing a novel geographical information systems (GIS)-framework-the United Kingdom Photovoltaics Database (UKPVD)-to analyze temporal and spatial PV deployment trends at high resolution across all market segments. Results show how PV deployment changed over time with the evolution of governmental PV policy support. Then spatial trends as function of local irradiation, rurality (as a proxy of building and population density) and building footprint (as a proxy for roof-area) are analyzed. We find in all market segments, PV deployment is strongly correlated with the level of policy support. Furthermore, all markets show a preference to deploy in rural areas and those with higher irradiation. Finally, local clustering of PV in all market segments was observed, revealing that PV is not spread evenly across areas. This work reveals the complex nature of PV deployment, both spatially and by market segment, reinforcing the need capture this through mapping.

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Section: Discussionmentioning

confidence: 99%

A Novel Geographical Information Systems Framework to Characterize Photovoltaic Deployment in the UK: Initial Evidence

Westacott

Candelise

2016

Energies

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“…• the translation of global horizontal irradiance into irradiance at plane of array of PV module [6],…”

Section: Introductionmentioning

confidence: 99%

“…As an alternative solution, a framework for the measurement uncertainty analysis based on Monte Carlo simulation is established and illustrated in this article, where a specified number of values of the same measurement is generated randomly [14]. The advantage with Monte Carlo method is, it can improve the uncertainty associated with the estimate of output quantity even for non-linear models [13].…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Energy Yield Prediction of Photovoltaic Modules

Roy

Betts

Gottschalg

2012

Jpn. J. Appl. Phys.

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The uncertainty analysis of irradiance and temperature measurements in relation to the energy yield prediction of the photovoltaic (PV) modules are presented. A Monte Carlo simulation approach is demonstrated separately to propagate the monthly and annual measurement uncertainties of irradiance and temperature to annual energy yield prediction uncertainty for two commercially available PV modules. The annual irradiation uncertainty as measured with a thermopile pyranometer is calculated as ±1.56%. Uncertainty of the annual average of ambient temperature measurement is calculated as ±0.08 O C. Finally, the uncertainty in the energy yield estimation of the PV devices is determined as 2.8% and 15.5% for crystalline silicon (c-Si) and copper indium gallium (di)selenide (CIGS) modules, respectively.

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Estimation of operating condition frequency distribution and power prediction by extending application of IEC 61853-1 standard for different technology photovoltaic modules

Magare

Sastry

Gupta

et al. 2018

Journal of Renewable and Sustainable Energy

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Photovoltaic (PV) module performance varies under actual outdoor environmental conditions, which can be better analyzed by relating performance with the frequency of different operating conditions. In this paper, the frequency of occurrence under the IEC 61853-1 standard has been exploited for proposing the concept of the frequency distribution of operating conditions for photovoltaic modules and analyzed for amorphous silicon, heterojunction with intrinsic thin-layer, and multi-crystalline silicon PV technology modules simultaneously, from the measured data of 2 years at the site of the National Institute of Solar Energy, India. A relative comparison has been presented between different technology modules, and the most frequent operating condition (MFOC) has been obtained from the proposed frequency distribution under the IEC 61853-1 standard. The results show that MFOC and the maximum energy contribution of all technology modules co-existed under the same IEC 61853-1 condition centered at an irradiance of 800 W/m2 and a module temperature of 50 °C, which could be advantageous while formulating an alternate standard for better performance assessment as compared to the standard test condition (STC). The power deviation from STC under MFOC was estimated in the range of 23%–37% for different technology modules, which can lead to a significant impact in performance estimation. While considering the significance of MFOC, a model applicable to modules of variable sizes has been presented for future power prediction under MFOC. The results of the presented model showed good agreement with experimental results for all the technology modules. This work can be helpful for planners, installers, financers, and consumers for better estimation of PV performance.

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Accuracy of Energy Yield Prediction of Photovoltaic Modules

Abstract: The uncertainty analysis of irradiance and temperature measurements in relation to the energy yield

Cited by 4 publications

References 12 publications

A Novel Geographical Information Systems Framework to Characterize Photovoltaic Deployment in the UK: Initial Evidence

A Novel Geographical Information Systems Framework to Characterize Photovoltaic Deployment in the UK: Initial Evidence

Accuracy of Energy Yield Prediction of Photovoltaic Modules

Estimation of operating condition frequency distribution and power prediction by extending application of IEC 61853-1 standard for different technology photovoltaic modules

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