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The air borne dust deposited on the surface of photovoltaic module influence the transmittance of solar radiations from the photovoltaic module's glazing surface. This experimental work aimed to investigate the effect of dust deposited on the surface of two different types of photovoltaic modules (monocrystalline silicon and polycrystalline silicon). Two modules of each type were used and one module from each pair was left exposed to natural atmosphere for three months of winter in Taxila, Pakistan. Systematic series of measurements were conducted for the time period of three months corresponding to the different dust densities. The difference between the output parameters of clean and dirty modules provided the information of percentage loss at different dust densities. The dust density deposited on the modules surface was 0.9867mg/cm² at the end of the study. The results showed that dust deposition has strong impact on the performance of photovoltaic modules. The monocrystalline and polycrystalline modules showed about 20% and 16% decrease of average output power respectively compared to the clean modules of same type. It was found that the reduction of module efficiency (ηclean-ηdirty) in case of monocrystalline and polycrystalline module was 3.55% and 3.01% respectively. Moreover the loss of output power and module efficiency in monocrystalline module was more compared to the polycrystalline module.
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A precise single-diode analytical model of Photovoltaic (PV) modules is generally nonlinear analytical equations with high computation complexity. This paper proposes a simple computational method for the PV model. Its exponential diode behaviour is simplified via Least Squares Approximation (LSA), which permits designers or engineers to predict the electrical characteristics of a PV module without using iterative numerical calculations. Based on experimental data, the methodology is validated by covering a wide range of operation conditions. Simulation and experimental results prove the effectiveness and accuracy of the proposed method.
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Research and development in photovoltaic (PV) systems has usually been concentrated in studies on radiation availability,efficient operating strategies ,design ans sizing of these systems. On the other hand, the influence of dust on the performance of PV systems has not been given much attention. In this work, electrical performances of Photo-voltaic panels are studied experimentally for the effect of deposited dust particles. The experimental data are used for the calculation of the energy efficiency and power output of the PV systems. It was concluded that dust significantly reduces the efficiency of solar photo voltaic panel.
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First of all, the thesis elaborates two important breakthroughs which happened In the field of the application of solar energy in the 1950s.The 21st century the development of solar photovoltaic power generation will have the following characteristics: the continued high growth of industrial development, the significantly reducing cost of the solar cell, the large-scale high-tech development of photovoltaic industries, the breakthroughs of the film battery technology, the rapid development of solar PV buildings integration and combined to the grids. The paper makes principles of solar cells the theoretical analysis. On the basis, we study the conversion efficiency of solar cells, find the factors impact on the efficiency of the photovoltaic generation, solve solar cell conversion efficiency of technical problems through the development of new technology, and open up new ways to improve the solar cell conversion efficiency. Finally, the paper connecting with the practice establishes policies and legislation to the use of encourage renewable energy, development strategy, basic applied research etc.
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Electric energy consumption in the arid Saharan regions is continuingly increasing due to increasing urbanization. Photovoltaic solar energy may be a suitable form of alternative electric energy production due to the abundance of solar energy in this region. In this paper we are presenting the general outline of a simulation model used to size and assess the performance a PV installation using DELPH5 programming language. This program allows the user to determine at any moment the performance of the PV installation by comparing the PV electric energy produced and the required consumption load and. It also permits the optimization of the system relative to the factor of time.
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The peaking of most oil reserves and impending climate change are critically driving the adoption of solar photovoltaic's (PV) as a sustainable renewable and eco-friendly alternative. Ongoing material research has yet to find a breakthrough in significantly raising the conversion efficiency of commercial PV modules. The installation of PV systems for optimum yield is primarily dictated by its geographic location (latitude and available solar insolation) and installation design (tilt, orientation and altitude) to maximize solar exposure. However, once these parameters have been addressed appropriately, there are other depending factors that arise in determining the system performance (efficiency and output). Dust is the lesser acknowledged factor that significantly influences the performance of the PV installations. This paper provides an appraisal on the current status of research in studying the impact of dust on PV system performance and identifies challenges to further pertinent research. A framework to understand the various factors that govern the settling/assimilation of dust and likely mitigation measures have been discussed in this paper.
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A numerical model has been created to simulate the performance of a residential-scale building integrated photovoltaic (BiPV) cogeneration system. The investigation examines the combined heat and power system in the context of heat transfer. The PV cogeneration system will be based on existing BiPV roofing technology with the addition of a modular heat recovery unit that can be used in new or renovation construction schemes. The convection of the air behind the panels will serve to cool the PV panels while providing a heat source for the residence. This model was created in the Engineering Equation Solver software package (EES), from a series of highly coupled non-linear partial differential equations that are solved iteratively. The model's ability to utilize climatic data to simulate annual performance of the system will be presented along with a comparison to experimental data. A graphical front-end has been added to the model in order to facilitate its use as a predictive tool for building professionals. It will thus become a decision support tool used in identifying areas for implementation of a PV cogen system.
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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. Suitable tabulations are given for most of the known algebraic forms which express the temperature dependence of solar electrical efficiency and, equivalently, solar power. Finally, the thermal aspects of the major power/energy rating methods are briefly discussed.
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Photovoltaic (PV) applications, gaining worldwide interest during the last years, comprise a promising renewable energy based solution, able to considerably contribute to the constantly increasing energy demand of our planet. Currently, residential applications possess a considerable share of the global PV market since fiscal and practical incentives have reinforced their promotion. On the other hand, high population concentration, rapid industrialisation and economic development of urban areas all over the world have caused significant degradation of the urban air quality. In this context, the actual performance of five identical pairs of roof-top PV-panels, operating in the aggravated urban environment of Athens (from the atmospheric air pollution point of view), is currently evaluated. For this purpose, a series of systematic experimental measurements is conducted within a certain time period and the influence of different dust deposition densities on the energy yield and the economic performance of the small power station is estimated. According to the results obtained, the presence of dust considerably affects the PV-panels’ performance since even a relatively small dust deposition density (≈1 g/m2) may result in remarkable energy losses corresponding almost to 40 €/kWp on an annual basis.
Energy and exrgy performance evaluation of typical solar photovoltaic module
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Optimizing tilt angles and orientation of solar panels for Kuala Lumpur Malaysia, Scientific Research and Essays
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A novel technique for PV panel performance prediction
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Outdoor performance of polycrystalline thin fin film PV modules in different European climates, Proceeding of 19 th EC Photovoltaic Solar Energy Conference
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The impact of meteorological factors on energy yields for the building integrated photovoltaic system in Malaysia, Solar09, the 47 th ANZSES Annual Conference
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