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PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings

TLDR
In this paper, the performance of different solar cell types is evaluated for the tropical weather of Singapore, where on-site measured data of PV systems implemented in a zero-energy building in Singapore, is analyzed.
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This article is published in Energy.The article was published on 2014-07-15 and is currently open access. It has received 73 citations till now. The article focuses on the topics: Photovoltaic system & Grid-connected photovoltaic power system.

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Citations
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Journal ArticleDOI

Zero energy buildings and sustainable development implications ― A review

TL;DR: In this paper, a review of the works related to these two strategies is presented and issues pertaining to sustainable development implications and further research work required are also highlighted, including life cycle cost and environmental impacts, climate change and social policy issues.
Journal ArticleDOI

Environmental Impacts on the Performance of Solar Photovoltaic Systems

TL;DR: In this paper, the reliability and validity of existing analyses that focus on the impact of various environmental factors on a photovoltaic (PV) system's performance was examined.
Journal ArticleDOI

Monitoring and performance analysis of grid connected photovoltaic under different climatic conditions in south Algeria

TL;DR: In this paper, the effect of weather conditions on grid-connected photovoltaic (PV) system performance installed in the Saharan area of south Algeria (Adrar) for the year 2010 has been analyzed on daily base.
Journal ArticleDOI

Investigation of solar PV performance under Doha weather using a customized measurement and monitoring system

TL;DR: In this article, the authors proposed a customized cost-effective solution that allows monitoring and predicting the performance of PV systems, fostering thus efficient planning and control strategies for network stability, and designed an in-house system featuring a buckboost converter enhanced with a maximum power point tracker (MPPT) serving as a PV load, sensors' system that collects climatic parameters including dust, wireless Radio, and a LabVIEW based monitoring and recording station.
Journal ArticleDOI

Performance evaluation of two PV technologies (c-Si and CIS) for building integrated photovoltaic based on tropical climate condition: A case study in Malaysia

TL;DR: In this paper, two grid-connected photovoltaic (PV) systems (monocrystalline silicon, c-Si; copper-indium-diselenide; CIS) were placed on the rooftop of the solar lab building in the National University of Malaysia, southwestern Malaysia.
References
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Artificial neural networks: a tutorial

TL;DR: The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the artificial computational model, and outlines network architectures and learning processes, and presents some of the most commonly used ANN models.
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Artificial Neural Networks

TL;DR: artificial neural networks, artificial neural networks , مرکز فناوری اطلاعات و اصاع رسانی, کδاوρزی
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On the temperature dependence of photovoltaic module electrical performance: a review of efficiency/ power correlations

TL;DR: In this article, a brief discussion is presented regarding the operating temperature of one-sun commercial grade silicon-based solar cells/modules and its effect upon the electrical performance of photovoltaic installations.
Journal ArticleDOI

Solar power generation by PV (photovoltaic) technology: A review

TL;DR: In this paper, the progress made in solar power generation research and development since its inception is reviewed, highlighting the current and future issues involved in the generation of quality and reliable solar power technology for future applications.
Journal ArticleDOI

Zero energy buildings and sustainable development implications ― A review

TL;DR: In this paper, a review of the works related to these two strategies is presented and issues pertaining to sustainable development implications and further research work required are also highlighted, including life cycle cost and environmental impacts, climate change and social policy issues.
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Frequently Asked Questions (13)
Q1. What are the contributions in this paper?

In this paper the performance of different solar cell types are evaluated for tropical weather of Singapore. As a case study, the on-site measured data of PV systems implemented in a zero energy building in Singapore, is analyzed. The predicted results by different models are compared with measured data and the validated model is used to provide the * Manuscript Click here to download Manuscript: Saber Lee Manthapuri Yi Deb. 

High humidity, ambient temperature, rainfall and diffuse sunlight all around the year are the main challenges for cells energy production in this climate. 

Uncertainty in environmentalconditions, inverter technology, arrangements of solar cells in modules and also modules in PV arrays are the main sources of discrepancies between findings of different studies. 

In overall, 1540 m 2 of PV modules with peak system power of 190 kWp have been implemented in the building to produce about 207 MWh electricity each year. 

Several PV performance models like Equivalent one-diode andSandia models have been incorporated into EnergyPlus energy simulationsoftware to model PV arrays on different sites and the results are validatedwith experimental data [24]. 

In a relevant study, Redweik et al. [9] showed that although the annual irradiation on vertical facades is lower than that of more favourable surfaces (roofs), due to their very large areas, the solar potential of facades is relevant for the overall solar potential of a building. 

In a relevant study, Redweik et al. [9]showed that although the annual irradiation on vertical facades is lower thanthat of more favourable surfaces (roofs), due to their very large areas, thesolar potential of facades is relevant for the overall solar potential of abuilding. 

The annual PV yield of arrays ranges between 600 to1200 kWh/yr and the type of solar cells, shading condition and arrangementof modules in an array are the key factors. 

This modeling tool is capable ofpredicting the shadow zones at different times and days in the year which isthe dominant factor for estimating the annual PV yield. 

the maximum power of the Sunshade array which is located on west façade is around 0.7 kW and is lower than its nominal capacity (1.044 kWp). 

The percentage deviation of measured power with predicted values (from 12 pm to 5 pm) ranges between 37-69 %, 21-53 %, 37-59 %, respectively for Simple, one-diode and Sandia models. 

Comparison of modeling results with measured data hasshown the Equivalent one-diode and Sandia model could fairly predict the yearly average actual output power of modules but there is still room for improvement by implementing more realistic weather data and considering other sources of energy loss in panels. 

An accurate modeling tool for predicting the energy yield of solarsystem could be useful in recognizing the optimum location, orientation and inclination of on-site PV systems in buildings.