Numerical Method for Calculation of Power Conversion Efficiency and Colorimetrics of Rectangular Luminescent Solar Concentrators

Similar to conventional photovoltaics, the path toward higher efficiencies for luminescent solar concentrators (LSCs) shows increased interest in tandem structures. Herein, a numerical calculation that allows for much faster estimates of fundamental LSC performance indicators (power conversion efficiency, average visible transmission, and color-rendering index) compared to ray trace simulations is proposed. Both double and triple structures are assessed, taking into account concentrations, absorption and emission spectra, and quantum yield as luminophore inputs for rectangular LSCs of any size. The waveguide material is modeled using an absorption spectrum and a refractive index. Interactions between the first, second, and/or third LSCs are incorporated into the algorithm. A comparison with ray trace results shows good correspondence. Supplementary Excel files are available with detailed calculations for future research or industry applications

Geospatial analysis of the energy yield and environmental footprint of different photovoltaic module technologies

The majority of currently installed photovoltaic (PV) systems are based on mono- and polycrystalline silicon PV modules. Manufacturers of competing technologies often argue that due to the characteristics of their PV technologies, PV systems based on their modules are able to achieve higher annual energy yield, due to a smaller effect of temperature on module performance and/or a better performance at low light intensities. While these benefits have been confirmed in local studies many times, there is still limited insight as to the locations at which a particular technology actually performs best. In this study we have analysed the performance of a large set of PV modules, based on irradiance time series that were taken from satellite measurements. Using these data, and combining it with a PV performance model, we have made a geospatial analysis of the energy yield of different types of PV modules. We aim to make the energy yield of the investigated modules spatially explicit, allowing PV system installers to choose the best module type for every location investigated. Our results show that there is large geographical variety in the performance of PV modules, in terms of energy yield but also in terms of relative performance or performance ratio. While some technologies clearly exhibit a decrease in performance ratio at locations where they operate at higher temperatures, for some technologies this effect is much smaller. As a result of the variation in performance, the environmental footprint of.13V modules also shows large geographical variations. However, even at low irradiance locations the environmental footprint of PV modules in general is much lower compared to that of fossil fuel based electricity generation. (C) 2017 Elsevier Ltd. All rights reserved

A novel design and simulation of a mechanical coordinate based photovoltaic solar tracking system

Various methods have been developed to increase electrical energy production gains in photovoltaic (PV) systems. These can be classified as solar tracking systems, cooling systems and methods of reducing the effect of shading. In order to maximise the PV energy yield, the PV systems must follow the sun. In this study, the effect of solar tracking systems on the energy yield gains of PV systems is investigated, and various types of solar tracking systems are discussed in detail. To ensure accuracte tracking of the postion of the sun, a new, low-cost, system has been developed that employs a global positioning system (GPS) module, compass and accelerometer. With this necessary angle information a dual-axis coordinate-based solar tracking system was designed using the Arduino Mega 2560 microcontroler with home-built control software. The system is validated by comparing it to a fixed angle system and an energy yield gain of 33–38% is found

Re-assessment of net energy production and greenhouse gas emissions avoidance after 40 years of photovoltaics development

Since the 1970s, installed solar photovoltaic capacity has grown tremendously to 230 gigawatt worldwide in 2015, with a growth rate between 1975 and 2015 of 45%. This rapid growth has led to concerns regarding the energy consumption and greenhouse gas emissions of photovoltaics production. We present a review of 40 years of photovoltaics development, analysing the development of energy demand and greenhouse gas emissions associated with photovoltaics production. Here we show strong downward trends of environmental impact of photovoltaics production, following the experience curve law. For every doubling of installed photovoltaic capacity, energy use decreases by 13 and 12% and greenhouse gas footprints by 17 and 24%, for poly-and monocrystalline based photovoltaic systems, respectively. As a result, we show a break-even between the cumulative disadvantages and benefits of photovoltaics, for both energy use and greenhouse gas emissions, occurs between 1997 and 2018, depending on photovoltaic performance and model uncertainties

Upconversion in solar cells

Abstract The possibility to tune chemical and physical properties in nanosized materials has a strong impact on a variety of technologies, including photovoltaics. One of the prominent research areas of nanomaterials for photovoltaics involves spectral conversion. Modification of the spectrum requires down-and/or upconversion or downshifting of the spectrum, meaning that the energy of photons is modified to either lower (down) or higher (up) energy. Nanostructures such as quantum dots, luminescent dye molecules, and lanthanide-doped glasses are capable of absorbing photons at a certain wavelength and emitting photons at a different (shorter or longer) wavelength. We will discuss upconversion by lanthanide compounds in various host materials and will further demonstrate upconversion to work for thin-film silicon solar cells

Rising stars in energy research: 2022

Recognising the future leaders of Energy Research is fundamental to safeguarding tomorrow's driving force in innovation. This collection will showcase the high-quality work of internationally recognized researchers in the early stages of their careers. We aim to highlight research by leading scientists of the future across the entire breadth of Energy Research, and present advances in theory, experiment and methodology with applications to compelling problems

Calibration and Validation of ArcGIS Solar Radiation Tool for Photovoltaic Potential Determination in the Netherlands

Geographic information system (GIS) based tools have become popular for solar photovoltaic (PV) potential estimations, especially in urban areas. There are readily available tools for the mapping and estimation of solar irradiation that give results with the click of a button. Although these tools capture the complexities of the urban environment, they often miss the more important atmospheric parameters that determine the irradiation and potential estimations. Therefore, validation of these models is necessary for accurate potential energy yield and capacity estimations. This paper demonstrates the calibration and validation of the solar radiation model developed by Fu and Rich, employed within ArcGIS, with a focus on the input atmospheric parameters, diffusivity and transmissivity for the Netherlands. In addition, factors affecting the model’s performance with respect to the resolution of the input data were studied. Data were calibrated using ground measurements from Royal Netherlands Meteorological Institute (KNMI) stations in the Netherlands and validated with the station data from Cabauw. The results show that the default model values of diffusivity and transmissivity lead to substantial underestimation or overestimation of solar insolation. In addition, this paper also shows that calibration can be performed at different time scales depending on the purpose and spatial resolution of the input data