Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications: Second Edition
December 2017 - PDF 9.3MB - Posted: 2017-12-13
Editor: Manajit Sengupta, Aron Habte, Christian Gueymard, Stefan Wilbert, and Dave Renné
Document Number: NREL/TP-5D00-68886

Designing, financing, and operating successful solar heating, concentrating solar power, and photovoltaic systems requires reliable information about the solar resource available and its variability over time. In the past, seasonal and daily variability has been studied and understood; however, with new solar technologies becoming more important in energy supply grids, small time-scale effects are critical to successful deployment of these important low carbon technologies. A vital part of the bankability of solar projects is to understand the variability of the solar resource so that supply and storage technologies can be optimized.

Integration of ground measurements with model-derived data
October 2015 - PDF 4.4MB - Posted: 2015-11-02
By: J. Polo, S. Wilbert, J.A.Ruiz-Arias, R. Meyer, C. Gueymard, M. Šúri, L. Martín, T. Mieslinger, P. Blanc, I. Grant, J. Boland, P. Ineichen, J. Remund, R. Escobar, A. Troccoli, M. Sengupta, K. P. Nielsen, D. Renne, N. Geuder
Bankable data for solar energy projects needs to ensure as much as possible the accuracy and general quality of solar radiation data to be used in the solar resource assessment studies for any site of interest in a project development. The term “site adaptation” is being used in the framework of solar energy projects to refer to the improvement that can be achieved in satellite-derived (or more generally model-derived) solar irradiance when short-term local ground measurements are used to correct systematic errors and bias of the original dataset. This document presents a review of different techniques for correcting long-term satellite-derived solar radiation data by using short-term ground measurements. The collaborative work has been done within the framework of Task 46 “Solar Resource Assessment and Forecasting” of the International Energy Agency’s Solar Heating and Cooling Programme. Different approaches whose use depends on the origin and characteristics of the uncertainties of the modelled data are presented. Recommendations to the use of ground measurements and the results of several approaches to improve satellite-derived data are shown through this report highlighting the importance of using site adaptation and the different degree of improvement that can be achieved depending on the climatological characteristics of the site.

Best Practices for Solar Irradiance Measurements with Rotating Shadowband Radiometers
August 2015 - PDF 3.11MB - Posted: 2015-10-15
By: S. Wilbert, N. Geuder, M. Schwandt, B. Kraas, W. Jessen, R. Meyer, B. Nouri
Large-scale solar thermal projects, such as those producing industrial process heat for mining areas in Chile or district heating in Denmark, require diligent solar resource assessments. Unfortunately, high accuracy irradiance data are scarcely available in many regions that are attractive for solar energy applications. This holds especially true for solar thermal technologies using concentrating collectors to produce high temperatures. For these systems, the focus of the resource assessment is on direct normal, or beam irradiance (DNI). Satellite data can only be used in combination with ground data to estimate inter-annual variability and long-term mean values. Hence, new ground measurements have to be collected for projects using concentrating collectors, such as high temperature process heat or district heating systems. Ground measurement data usually show significantly higher accuracies than satellite derived irradiance data, when general guidelines regarding site selection and preparation, instrument selection and maintenance and data quality monitoring are respected. Best practices for Rotating Shadowband Irradiometers (RSIs), developed within the framework of IEA SHC Task 46: Solar Resource Assessment and Forecasting, are presented in this report.

Best Practices Handbook for the Collection and Use of Solar Resource Data for Solar Energy Applications
February 2015 - PDF 8.71MB - Posted: 2015-02-18
By: M. Sengupta, 1 A. Habte,1 S. Kurtz, A. Dobos, S Wilbert, E. Lorenz, T. Stoffel, D. Renné, D. Myers, S. Wilcox, P. Blanc, and R. Perez
The first version of this handbook was developed in response to a growing need by the solar energy industry for a single document addressing the key aspects of solar resource characterization. The solar energy industry has developed rapidly throughout the last few years, and there have been significant enhancements in the body of knowledge in the areas of solar resource assessment and forecasting. Thus, this second version of the handbook was developed from the need to update and enhance the initial version and present the state of the art in a condensed form for all of its users. Although the first version of this handbook was developed by only researchers from the National Renewable Energy Laboratory, this version has additional contributions from an international group of experts primarily from the knowledge that has been gained through participation in the International Energy Agency’s Solar Heating and Cooling Programme Task 36 and Task 46. As in the first version, this material was assembled by scientists and engineers who have many decades of combined experience in atmospheric science, radiometry, meteorological data processing, and renewable energy technology development. Readers are encouraged to provide feedback to the authors for future revisions and an expansion of the handbook’s scope and content.

Solar Dataset
Task46: United Nations Environmental Programme
October 2011 - Posted: 2012-11-04

The United Nations Environmental Programme (UNEP) is hosting an online guide that ISES developed together with UNEP and partners from the German Aerospace Centre (DLR), the U.S. National Renewable Energy Laboratory (NREL) and the State University of New York at Albany. This guide helps users make an educated decision when deciding which solar dataset to use for a specific application and/or at a specific location. Knowledge of solar energy resources is essential for the planning and operation of solar energy systems. Different organisations provide several autonomous solar data covering various spatial and temporal periods with various resolutions. Solar data sets differ in spatial and temporal resolution, time period covered, and methodology used. Some of these datasets are available for free, while some are not, and they all may provide varying results. As a result, most users cannot verify the suitability of a given solar dataset or map for a specific application. This can lead users to abandon their search or make non-appropriate use of the information. This simple guide tool was developed to help alleviate this problem. The online user-friendly guide helps expert and non-expert users to decide which solar resource data sets are the most appropriate depending on a type of application that the user is interested in and the location. The programme relates information back to two information tables: one related to a compilation of a selection of existing satellite based solar datasets and their metadata and the other defines specific requirements a dataset should meet for specific solar application.

Task 46: Best Practices: Solar Irradiance Measurements with Rotating Shadowband Irradiometers (Summary from SHC Newsletter)
November 2015 - PDF 0.16MB - Posted: 2015-11-17
By: S. Wilbert, N. Geuder, M. Schwandt, B. Kraas, W. Jessen, R. Meyer, B. Nouri
Publisher: IEA SHC
Large-scale solar thermal projects, such as those producing industrial process heat for mining areas in Chile or district heating in Denmark, require diligent solar resource assessments. Unfortunately, high accuracy irradiance data are scarcely available in many regions, which are attractive for solar energy applications. This holds especially true for solar thermal technologies using concentrating collectors to produce high temperatures. For these systems, the focus of the resource assessment lies on direct normal, or beam irradiance (DNI). Satellite data can only be used in combination with ground data to estimate inter-annual variability and longterm mean values. Hence, new ground measurements have to be collected for projects using concentrating collectors, such as high temperature process heat or district heating systems. Read Full Report: http://task46.iea-shc.org/data/sites/1/publications/INSRSI_IEA-Task46B1_BestPractices-RSI_150819.pdf

Task 46: Highlights 2015
May 2016 - PDF 0.26MB - Posted: 2016-05-10
Knowledge of solar energy resources is critical when designing, financing, and operating successful solar water heating systems, concentrating solar power systems, and photovoltaic systems. However, due to their dependence on weather phenomena the energy output from these technologies can be highly variable, especially in situations where storage is not available to smooth out this variability. Accurate solar resource assessment and reliable solar power forecasting are important tools not only for system design and operation, but also for system financing.

Task 46 Highlights 2014
February 2015 - PDF 1.02MB - Posted: 2015-02-17
Knowledge of solar energy resources is critical when designing, building and operating successful solar water heating systems, concentrating solar power systems, and photovoltaic systems. However, due to their dependence on weather phenomena the energy output from these technologies can be highly variable, especially in situations where storage is not available to smooth out this variability. Accurate solar resource assessment and reliable solar power forecasting are important tools not only for system design, but also for system operators in matching loads at any given time with the solar energy technologies available. Reliable solar data and data products are essential for optimizing the value of these technologies in meeting clean energy goals and lowering the overall cost of energy.

Task 46 Highlights 2013
Solar Resource Assessment and Forecasting
February 2014 - PDF 0.35MB - Posted: 2014-03-03
Knowledge of solar energy resources is critical when designing, building and operating successful solar water heating systems, concentrating solar power systems, and photovoltaic systems. However, due to their dependence on weather phenomena the energy output from these technologies can be highly variable, especially in situations where storage is not available to smooth out this variability. Accurate solar resource assessment and reliable solar power forecasting are important tools not only for system design, but also for system operators in matching loads at any given time with the solar energy technologies available. Reliable solar data and data products are essential for optimizing the value of these technologies in meeting clean energy goals and lowering the overall cost of energy.

Task 46 Highlights 2012
January 2013 - PDF 0.23MB - Posted: 2013-02-10

Knowledge of solar energy resources is critical when designing, building and operating successful solar water heating systems, concentrating solar power systems, and photovoltaic systems. However, due to their dependence on weather phenomena the energy output from these technologies can be highly variable, especially in situations where storage is not available to smooth out this variability. High penetrations of these technologies will then require utilities to be able to predict their availability to meet varying load demands. Solar resource and solar power forecasting is an important tool being made available to system operators to assist them in matching load fluctuations with the solar energy technologies available to them, thereby optimizing the value of these technologies in meeting clean energy goals.

How Recent Advances in Solar Resource Assessment Support Large-Scale Solar Development
October 2014 - PDF 1.29MB - Posted: 2015-01-02
By: David Renné
Presentation at SHC 2014