Fast All-Sky Radiation Model for Solar Applications (FARMS): A Brief Overview of Mechanisms, Performance, and Applications: Preprint PDF Download
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Languages : en
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Solar radiation can be computed using radiative transfer models, such as the Rapid Radiation Transfer Model (RRTM) and its general circulation model applications, and used for various energy applications. Due to the complexity of computing radiation fields in aerosol and cloudy atmospheres, simulating solar radiation can be extremely time-consuming, but many approximations--e.g., the two-stream approach and the delta-M truncation scheme--can be utilized. To provide a new fast option for computing solar radiation, we developed the Fast All-sky Radiation Model for Solar applications (FARMS) by parameterizing the simulated diffuse horizontal irradiance and direct normal irradiance for cloudy conditions from the RRTM runs using a 16-stream discrete ordinates radiative transfer method. The solar irradiance at the surface was simulated by combining the cloud irradiance parameterizations with a fast clear-sky model, REST2. To understand the accuracy and efficiency of the newly developed fast model, we analyzed FARMS runs using cloud optical and microphysical properties retrieved using GOES data from 2009-2012. The global horizontal irradiance for cloudy conditions was simulated using FARMS and RRTM for global circulation modeling with a two-stream approximation and compared to measurements taken from the U.S. Department of Energy's Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Our results indicate that the accuracy of FARMS is comparable to or better than the two-stream approach; however, FARMS is approximately 400 times more efficient because it does not explicitly solve the radiative transfer equation for each individual cloud condition. Radiative transfer model runs are computationally expensive, but this model is promising for broad applications in solar resource assessment and forecasting. It is currently being used in the National Solar Radiation Database, which is publicly available from the National Renewable Energy Laboratory at http://nsrdb.nrel.gov.
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Languages : en
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Solar radiation can be computed using radiative transfer models, such as the Rapid Radiation Transfer Model (RRTM) and its general circulation model applications, and used for various energy applications. Due to the complexity of computing radiation fields in aerosol and cloudy atmospheres, simulating solar radiation can be extremely time-consuming, but many approximations--e.g., the two-stream approach and the delta-M truncation scheme--can be utilized. To provide a new fast option for computing solar radiation, we developed the Fast All-sky Radiation Model for Solar applications (FARMS) by parameterizing the simulated diffuse horizontal irradiance and direct normal irradiance for cloudy conditions from the RRTM runs using a 16-stream discrete ordinates radiative transfer method. The solar irradiance at the surface was simulated by combining the cloud irradiance parameterizations with a fast clear-sky model, REST2. To understand the accuracy and efficiency of the newly developed fast model, we analyzed FARMS runs using cloud optical and microphysical properties retrieved using GOES data from 2009-2012. The global horizontal irradiance for cloudy conditions was simulated using FARMS and RRTM for global circulation modeling with a two-stream approximation and compared to measurements taken from the U.S. Department of Energy's Atmospheric Radiation Measurement Climate Research Facility Southern Great Plains site. Our results indicate that the accuracy of FARMS is comparable to or better than the two-stream approach; however, FARMS is approximately 400 times more efficient because it does not explicitly solve the radiative transfer equation for each individual cloud condition. Radiative transfer model runs are computationally expensive, but this model is promising for broad applications in solar resource assessment and forecasting. It is currently being used in the National Solar Radiation Database, which is publicly available from the National Renewable Energy Laboratory at http://nsrdb.nrel.gov.
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Languages : en
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This study evaluates the performance of a new radiative transfer model, Fast All-sky Radiation Model for Solar Applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT), that efficiently computes spectral irradiances on inclined photovoltaic panels. FARMS-NIT numerically solves the spatial distribution of solar radiation in 2,002 wavelength bands and thereby accurately provides plane-of-array (POA) irradiances by integrating radiances over inclined surfaces. The FARMS-NIT for clear- and cloudy-sky conditions are used to compute POA irradiances for Typical Meteorological Year 3 sites and compared with the simulation by TMYSPEC. Our results indicate that FARMS-NIT leads to approximately 5% greater spectral irradiances compared to TMYSPEC. The difference in POA irradiance with a latitude tilt angle is slightly larger than global horizontal irradiance.
Author: Yu Xie
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Category : Solar energy
Languages : en
Pages : 1
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Languages : en
Pages : 0
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This poster provides an overview of the fast all-sky radiation model for solar applications with narrowband irradiances on tilted surfaces (FARMS-NIT).
Author: M. Sengupta
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Category : Solar collectors
Languages : en
Pages : 0
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Languages : en
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This presentation provides a high-level overview of advances in modeling all-sky radiative transfer for solar energy applications.
Author: Viorel Badescu
Publisher: Springer Science & Business Media
ISBN: 3540774556
Category : Technology & Engineering
Languages : en
Pages : 537
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Book Description
Solar radiation data is important for a wide range of applications, e.g. in engineering, agriculture, health sector, and in many fields of the natural sciences. A few examples showing the diversity of applications may include: architecture and building design, e.g. air conditioning and cooling systems; solar heating system design and use; solar power generation; evaporation and irrigation; calculation of water requirements for crops; monitoring plant growth and disease control; skin cancer research.
Author: Sokol Dervishi
Publisher:
ISBN: 9781536149579
Category :
Languages : en
Pages : 110
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This research aims to make an original and advanced contribution to state-of-the-art sky models. It focuses on high-resolution sky radiance and luminance models given their essential importance in a host of scientific and engineering applications. For example, improved sky radience and luminance models can be used to improve the design and operation of energy-efficient and sustainable buildings. All these applications require high-fidelity information on spatial and temporal distribution of solar irradiance and illuminance on building surfaces. The empirical basis for related decision-making processes is, however, rather limited: Available measured data collected by typical weather stations is typically restricted to global horizontal irradiance. Few research-class climatic monitoring stations also record the diffuse component of solar irradiance. This research will therefore examine a number of such models in detail and explore both improvement possibilities of existing models and the potential for alternative modeling approaches in future developments. Specifically, this research aims at developing accurate high-resolution sky radiance and sky luminance models for the city of Vienna. In order to generate sky radiance maps, the diffuse radiation component of the global horizontal irradiance should be typically derived based on proper diffuse fraction models. Accordingly, this research starts with an attempt to improve the existing diffuse fraction models. When both diffuse and direct horizontal irradiance data are available, the existing models intended for the sky radiance generation can be comprehensively evaluated and further developed to arrive at a more reliable locally verified sky radiance distribution model. In addition to sky radiance distribution maps, which greatly support the design of buildings solar energy systems, sky luminance maps are needed to support the design of buildings daylighting systems. However, to generate sky luminance maps from sky radiance maps, appropriate luminous efficacy information is required, which is not available from typical weather stations. Therefore, this research shall also explore methods with various degrees of resolution to derive illuminance data based on more broadly available global irradiance data. Solid high-resolution empirical data is needed not only to evaluate the existing models, but also to develop and validate new models. For this purpose, I will deploy our existing monitoring facility to systematically collect both typical weather station data and additional information concerning the diffuse component of the global horizontal irradiance, global horizontal illuminance, vertical irradiance, as well as detailed sky luminance and radiance distributions.
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Languages : en
Pages : 0
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This presentation provides a high-level overview of advances in modeling all-sky radiative transfer for solar energy applications.
Author: Jan Kleissl
Publisher: Academic Press
ISBN: 012397772X
Category : Technology & Engineering
Languages : en
Pages : 503
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Book Description
Solar Energy Forecasting and Resource Assessment is a vital text for solar energy professionals, addressing a critical gap in the core literature of the field. As major barriers to solar energy implementation, such as materials cost and low conversion efficiency, continue to fall, issues of intermittency and reliability have come to the fore. Scrutiny from solar project developers and their financiers on the accuracy of long-term resource projections and grid operators’ concerns about variable short-term power generation have made the field of solar forecasting and resource assessment pivotally important. This volume provides an authoritative voice on the topic, incorporating contributions from an internationally recognized group of top authors from both industry and academia, focused on providing information from underlying scientific fundamentals to practical applications and emphasizing the latest technological developments driving this discipline forward. The only reference dedicated to forecasting and assessing solar resources enables a complete understanding of the state of the art from the world’s most renowned experts. Demonstrates how to derive reliable data on solar resource availability and variability at specific locations to support accurate prediction of solar plant performance and attendant financial analysis. Provides cutting-edge information on recent advances in solar forecasting through monitoring, satellite and ground remote sensing, and numerical weather prediction.
