FP7Индивидуална стипендия2011–2014

SOLFORRENEW · A comprehensive framework for high-resolution assessment and short-term forecasting of the solar resource for renewable energy applications

7РП — „Хора“ (Действия „Мария Кюри“)

Период
2011-10-03 → 2014-10-02
Финансиране от ЕС
212 870 €
Участници
1
Схема
MC-IOF

Линиите свързват координатора с партньорите.

Накратко на български

Слънчевият ресурс се изследва чрез подобряване на прогнозите за слънчевото лъчение, като се отчитат влиянията на облаците и праховите частици във въздуха. Това помага за по-лесното интегриране на възобновяемата енергия в електроенергийния пазар.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Periodic Report Summary 1 - SOLFORRENEW (A comprehensive framework for high-resolution assessment and short-term forecasting of the solar resource for renewable energy applications)

The overall research objective of the SolForRenew project is the leverage of the current methods for solar resource assessment and forecasting in renewable energy applications with Numerical Weather Prediction (NWP) models. The public Weather Research and Forecasting (WRF) model is being used as test-bed. This research will provide an improved comprehensive framework for fine-scale solar resource assessment and forecasting. It is expected to contribute for a smoother implantation of the renewable energies into the electricity market. During the outgoing phase, spanning the first 24 months of the project, Dr. José A. Ruiz-Arias (hereinafter, the researcher) has gone through with a research stay in the Mesoscale Prediction Section (http://www.mmm.ucar.edu/sections/mesoscale-prediction.php) of the Mesoscale and Microscale Meteorology (MMM) Division at the National Center for Atmospheric Research (NCAR) Earth System Laboratory (NESL), in Boulder, USA. The research stay was conducted under the supervision of Dr. Jimy Dudhia. The particular research objectives during this reporting period include: 1. Improvement of current assessment methods of Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) in NWP models, a. by developing a parameterization of aerosol optical properties to account for the aerosol extinction in surface solar irradiance and, b. by implementing a statistical terrain parameterization that allow including non-resolved terrain-related effects in surface solar irradiance at coarse spatial scales. 2. Improvement of current forecast methods for GHI and DNI in NWP models, a. by improving cloud nowcasting and, b. by improving AOD forecasting. Description of the work and main results A versatile parameterization of the shortwave aerosol optical properties (AOP) for NWP models has been developed and implemented in the WRF model. It is required to account for the aerosol extinction effects in surface solar irradiance. If aerosols are not considered, the computed surface solar fluxes may show a bias of up to 20% when they are compared against ground observations. The task was initiated with a thorough study of the currently available aerosol optical depth data sources with a twofold objective: i) to delimitate the data sources that best match NWP requirements and, ii) to assess their potential to improve DNI and GHI assessment in NWP models. The study concluded with the evaluation of the daily Level-3 Moderate-resolution Imaging Spectroradiometer (MODIS) AOD dataset at global scale against ground observations from the Aerosol Robotic Network (AERONET), and the proposal of models and methods to reduce its inherent regional bias. Results have been published in two research papers in high-impact international scientific journals [1, 2]. In addition, a control study has been conducted that has served as a baseline to calibrate the skills of the AOP parameterization. The control study, published in a research paper in a high-impact international scientific journal [3], consisted of a clear-sky shortwave closure evaluation of the skills of three different solar radiation schemes of choice in WRF. Results were validated against high-quality solar irradiance ground observations in the contiguous US. The AOP parameterization has been described in a research paper and submitted for its publication in a high-impact international scientific journal [4]. The parameterization will be publicly available in the next major WRF release (version 3.6) scheduled by April, 2014. The steps for a comprehensive regional validation of the methodology have been initiated in two different regions: the contiguous US and Spain, using two different data sources for regional aerosol optical depth data. In regards to the non-resolved terrain effects in surface solar fluxes, an additional issue is the sun must be tracked very precisely, particularly at sunrise and sunset, to best capture the terrain horizon effects. However, the conventional NWP methods to compute SW fluxes are so slow that, in practice, they cannot be called at every model integration time step. Therefore, a fast updating scheme for surface solar fluxes is being developed. A preliminary version was included in the last WRF minor release (v3.5.1, http://www.mmm.ucar.edu/wrf/users/wrfv3.5/updates-3.5.1.html) and it will be updated in the next major release (version 3.6) scheduled by April, 2014. The AOP parameterization is required for precise computation of DNI and DIF irradiances. The fast updating scheme is required for high-frequency computation of solar fluxes. The two of them will benefit the assessment of non-resolved terrain effects. This task is being undertaken during the return phase. For the improvement of the current forecast skills, two parallel actions are being conducted. On the one hand, a novel approach for cloud nowcasting has been initiated in collaboration with Dr. Tom Auligné at NCAR. It is based on near-real-time assimilation of satellite retrievals in the form of cloud fraction. The NWP model is then used to advect the cloud fraction values and predict their values in future times (up to six hours ahead). From the cloud fraction data, surface solar fluxes can be estimated. A first prototype system has been already deployed and the first validating experiment has been initiated. On the other hand, the skills of the Monitoring Atmospheric Composition and Climate (MACC, http://www.gmes-atmosphere.eu/) model at predicting aerosol optical depth and its hypothetical beneficial impact in clear-sky surface solar irradiance prediction are being evaluated using the AOP parameterization. The benefits will be evaluated from the perspective of a solar power plant, considering how the solar forecast is helpful for the operation of the plant and extrapolating the benefits to the electric market when solar resource is forecasted at large scale. Expected results The project will result in a comprehensive and publicly available tool, the WRF model, to evaluate and forecast the DNI and GHI solar irradiances at multiple spatial scales and forecasting horizons. With the research conducted in this project, the WRF model will become a powerful tool for renewable energy applications demanding a means to evaluate the solar resource potential for solar plants feasibility studies and, more importantly, solar forecasts for an improved operation of the solar plants. At a larger spatial scale, the use of solar forecasts with the WRF model will lead to the minimization of the power grid fluctuations issues caused by the solar resource intermittency, and it will end up with the maximization of the penetration of solar energy production technologies in the power grid. The developments undertaken within this research framework will result in an improved version of WRF for solar resource assessment and forecasting, WRF-Solar, and be freely available to the tens of thousands of registered users of WRF. Thus, the SolForRenew research advances will impact a huge number of applications, not only in Europe, but also around the world for years to come. References [1] Ruiz-Arias, J.A., Dudhia, J., Gueymard, C.A., Pozo-Vázquez, D., 2013 “Assessment of the Level-3 MODIS daily aerosol optical depth in the context of surface solar radiation and numerical weather modeling” Atmospheric and Chemistry Physics, Vol. 13, pp. 675-692. doi: 10.5194/acp-13-675-2013 [2] Ruiz-Arias, J.A., Dudhia, J., Lara-Fanego, V., Pozo-Vázquez, D., 2013 “A geostatistical approach for producing daily Level-3 MODIS aerosol optical depth analyses” Atmospheric Environment, Vol. 79, pp. 395-405. doi: 10.1016/j.atmosenv.2013.07.002 [3] Ruiz-Arias, J.A., Dudhia, J., Santos-Alamillos F.J., Pozo-Vázquez, D., 2013 “Surface clear-sky shortwave radiative closure intercomparisons in the Weather Research and Forecasting model” Journal of Geophysical Research: Atmospheres, Vol. 118, pp. 1-13. doi: 10.1002/jgrd.50778 [4] Ruiz-Arias, J.A., Dudhia, J., Gueymard, C.A., 2013 “A simple parameterization of the shortwave aerosol optical properties for the calculation of surface direct and diffuse irradiances in a numerical weather model” Geoscientific Model Development, Submitted. Contact Information: José A. Ruiz-Arias, jararias at ujaen.es David Pozo Vázquez, dpozo at ujaen.es

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The foreseen depletion of the fossil resources is forcing us to seek for new energy springs but the everyday issue of the climate change claims for non-pollutant solutions. In addition, it is expected that the demand for electricity will strongly increase between 2006 and 2030. Therefore, it is unavoidable the transition to more and more renewable energy shares. In this scenario, solar and wind energy are probably the only energy solutions that are acceptable enough to sustain the planet’s long term requirements.However, as solar and wind energies are strongly dependent on highly variable weather, increased penetration rates will lead to strong fluctuations in the electricity grid. Therefore, renewable energies cannot guarantee the amount of energy which is requested by the users and secondary support energy sources are required. Consequently, accurate assessments and forecasts of the resources are pivotal for optimal sitting of the facilities and improved planning and operating decisions. In this proposal we address the development of the methods for assessing and forecasting the solar resource using Numerical Weather Prediction models, the current state of the art in weather modelling. The outgoing phase will be conducted at the National Center for Atmospheric Research (NCAR) of the USA, one of the foremost centers in weather modelling.The fellow will acquire high-quality research training, NCAR’s work methodologies, organization, transfer of knowledge and synergy with university and private sector. Reintegration will increase the perspectives available on this topic in the EU and the experience will be used in future management positions of the fellow. This project will help to promote the solar production in Europe and to increase its penetration in the electricity grid. This proposal will help to meet the increasing demand of electricity, to decrease the emission of greenhouse gases, and also to overcome the dependency of energy imports from outside Europe.""

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз