The Experts below are selected from a list of 2175 Experts worldwide ranked by ideXlab platform

Ahmed Mezrhab - One of the best experts on this subject based on the ideXlab platform.

  • A GIS-AHP combination for the sites assessment of large-scale CSP plants with dry and wet cooling systems. Case study: Eastern Morocco
    Solar Energy, 2018
    Co-Authors: Ahmed Alami Merrouni, Ahmed Mezrhab, Abdellatif Ghennioui, Fakhreddine Elwali Elalaoui
    Abstract:

    Abstract In this paper, we assessed the suitability of the Eastern region of Morocco to host large-scale Concentrating Solar Power (CSP) plants by combining Geographic Information System (GIS) and the Analytic Hierarchy Process (AHP). For this reason, a high spatial resolution GIS database is built using layers provided from different governmental organizations. Additionally, since the potential of the Direct Normal Irradiation (DNI) is the most important criterion for CSP site selection; a high-quality satellite solar map with a spatial resolution of 1 km2/pixel and twenty years of time coverage was used. Since CSP power plants need cooling systems for their power block cycle; the suitability of two cooling techniques (dry and wet) were evaluated for this region. Results show that Eastern Morocco can be considered as a very good location for hosting CSP power plants. For the wet cooling systems, the highly suitable sites to host CSP plants represent 11.7% from the total area, while 5.5% is the proportion of the highly suitable sites for CSP plants with dry cooling systems.

  • Performance of parabolic through solar power plant under weather conditions of the Oujda city in Morocco
    Applied Solar Energy, 2017
    Co-Authors: H. Ait Lahoussine Ouali, R. Guechchati, M. A. Moussaoui, Ahmed Mezrhab
    Abstract:

    A numerical simulation of Concentrating Solar Power (CSP) plant based on an Organic Rankine Cycle (ORC) power generation unit integrated with parabolic trough collectors is carried out. For the study we refer to the Solar Electric Generating System VI (SEGS VI), installed in the Mojave desert-California (USA), whose solar field which is constituted by LS2 parabolic trough collectors and we consider the same plant implementation in the region of Oujda city (Morocco). To predict the energy performance, the simulations are carried out using TRNSYS 16 simulation program known for its modularity and flexibility and the external library known as the Solar Thermal Electric Components (STEC) library. The meteorological parameters including Direct Normal Irradiation (DNI), ambient temperature and other weather conditions are taken from meteorological year database provided by a high precision MHP station located in Mohamed Premier University. The obtained results show that the region of East offers great potential in general for implementing this type of plant. In fact, the value of 30 MWe is reached during the strongest sunshine day and the operating time can go from 7 AM until 19 PM for a summer day.

  • Performance of parabolic through solar power plant under weather conditions of the Oujda city in Morocco
    Applied Solar Energy, 2017
    Co-Authors: H. Ait Lahoussine Ouali, M. A. Moussaoui, R. Guechchati, Ahmed Mezrhab
    Abstract:

    A numerical simulation of Concentrating Solar Power (CSP) plant based on an Organic Rankine Cycle (ORC) power generation unit integrated with parabolic trough collectors is carried out. For the study we refer to the Solar Electric Generating System VI (SEGS VI), installed in the Mojave desert-California (USA), whose solar field which is constituted by LS2 parabolic trough collectors and we consider the same plant implementation in the region of Oujda city (Morocco). To predict the energy performance, the simulations are carried out using TRNSYS 16 simulation program known for its modularity and flexibility and the external library known as the Solar Thermal Electric Components (STEC) library. The meteorological parameters including Direct Normal Irradiation (DNI), ambient temperature and other weather conditions are taken from meteorological year database provided by a high precision MHP station located in Mohamed Premier University. The obtained results show that the region of East offers great potential in general for implementing this type of plant. In fact, the value of 30 MWe is reached during the strongest sunshine day and the operating time can go from 7 AM until 19 PM for a summer day.

  • Electricity yield analysis of a 50 MW solar tower plant under Moroccan climate
    2015 International Conference on Electrical and Information Technologies (ICEIT), 2015
    Co-Authors: Hanane Ait Lahoussine Ouali, Ahmed Alami Merrouni, Mohammed Amine Moussaoui, Ahmed Mezrhab
    Abstract:

    This paper presents the simulation results of a 50 MWe solar thermal tower plant under the climate of Oujda, a city located at North-east of Morocco. For this purpose, one year of meteorological data with one minute step has been collected via a high precision meteorological station installed at the University of Oujda. Afterward, a meteo-file of one hour step has been created and injected to Greenius simulation software, in order to calculate the annual yield electricity production of a 50 MWe solar tower with an open air volumetric receiver and one tank storage system. For an annual Direct Normal Irradiation (DNI) of 1989.9 kWh/m2, the tower produces a thermal energy of 387 768 MWhth and an annual electricity of 144 909 MWhel. The mean efficiency of the tower system under the climate of Oujda is of 13.6%, which can be considered as high and cost effective.

Marcel Suri - One of the best experts on this subject based on the ideXlab platform.

  • typical meteorological year data solargis approach
    Energy Procedia, 2015
    Co-Authors: Tomas Cebecauer, Marcel Suri
    Abstract:

    Abstract We analyze factors to be considered when Typical Meteorological Year (TMY) is constructed from a time series data. We discuss characteristics of the input data (time period, time frequency, quality), calculation methods (weighting of parameters, coherence of parameters, selection criteria) and requirements of the resulting TMY to characterize average solar climate (P50 case) or a year with less-favorable solar resource (P90 or Pxx cases). Overview of the existing methods is presented, with summary of their features, limitations and associated risks. SolarGIS method is presented, which overcomes limitations of the older methods. We explain the underlying concept of uncertainty that is used for calculation of annual P90 or Pxx values for Direct Normal Irradiation (DNI) and Global Horizontal Irradiation (GHI). SolarGIS method fulfills the criteria required in solar industry, such as geographical representativeness, consistency of solar radiation and meteorological parameters, and yields a good representation of the P50, P90 or any other Pxx cases.

  • solar resource and photovoltaic electricity potential in eu mena region
    World Conference on Photovoltaic Energy Conversion, 2012
    Co-Authors: Artur Skoczek, Tomas Cebecauer, Marcel Suri, J Betak
    Abstract:

    The study offers updated and more accurate information about long-term annual solar resource in the most countries of Europe, Middle East and North Africa (EU-MENA) and evaluates PV power production potential. The underlying solar radiation and PV electricity output values are calculated form the solar and meteo database SolarGIS, which covers a history of recent 18 years. Direct Normal Irradiation data are presented to indicate potential of Concentrated PV in the region. PV electricity output is calculated for c-Si module options, using the recent numerical models. The analysis is focused on the urbanized and industrial areas and their hinterland. Attention is focused also to the quantification of uncertainty. Based on the GIS analysis, the solar resource potential of each country is rated.

  • Comparison of Direct Normal Irradiation Maps for Europe
    2009
    Co-Authors: Marcel Suri, Tomas Cebecauer, Jan Remund, Carsten Hoyer-click, Dominique Dumortier, Thomas Huld, Paul W. Stackhouse, Pierre Ineichen
    Abstract:

    This study provides an insight into the spatial distribution of uncertainty of Direct Normal Irradiation (DNI) as estimated from the relative cross-comparison of five data sources offering solar resource and climate data for Europe: Meteonorm, Satel-Light, NASA SSE, SOLEMI, and PVGIS. The results show that within 90% of the study area the uncertainty of DNI expressed by relative standard deviation may go up to 17%. This high value indicates a need for further improvement of the data inputs and solar radiation models.

Philippe Blanc - One of the best experts on this subject based on the ideXlab platform.

  • Benchmarking of Five Typical Meteorological Year Datasets Dedicated to Concentrated-PV Systems
    Energy Procedia, 2016
    Co-Authors: Ana Maria Realpe, Christophe Vernay, Sébastien Pitaval, Camille Lenoir, Philippe Blanc
    Abstract:

    This paper presents the benchmarking of different Typical Meteorological Year (TMY) datasets applied to a Concentrated-PV (CPV) system. Using 18-years of high quality meteorological and pyranometric ground measurements, five types of TMY datasets were generated using variable time period and following different methods: the standard Sandia method or only considering the Direct Normal Irradiation (DNI) or a more sophisticated DNI-based driver considering the characteristics of the CPV system. The results show that the Sandia method is not suitable for CPV systems. The TMY datasets obtained using dedicated drivers are more representative to derive TMY datasets from limited long-term meteorological dataset.

I. Lillo-bravo - One of the best experts on this subject based on the ideXlab platform.

  • A methodology for the stochastic generation of hourly synthetic Direct Normal Irradiation time series
    Theoretical and Applied Climatology, 2018
    Co-Authors: M. Larrañeta, S. Moreno-tejera, I. Lillo-bravo, M. A. Silva-pérez
    Abstract:

    Many of the available solar radiation databases only provide global horizontal irradiance (GHI) while there is a growing need of extensive databases of Direct Normal radiation (DNI) mainly for the development of concentrated solar power and concentrated photovoltaic technologies. In the present work, we propose a methodology for the generation of synthetic DNI hourly data from the hourly average GHI values by dividing the irradiance into a deterministic and stochastic component intending to emulate the dynamics of the solar radiation. The deterministic component is modeled through a simple classical model. The stochastic component is fitted to measured data in order to maintain the consistency of the synthetic data with the state of the sky, generating statistically significant DNI data with a cumulative frequency distribution very similar to the measured data. The adaptation and application of the model to the location of Seville shows significant improvements in terms of frequency distribution over the classical models. The proposed methodology applied to other locations with different climatological characteristics better results than the classical models in terms of frequency distribution reaching a reduction of the 50% in the Finkelstein-Schafer (FS) and Kolmogorov-Smirnov test integral (KSI) statistics.

  • An improved model for the synthetic generation of high temporal resolution Direct Normal Irradiation time series
    Solar Energy, 2015
    Co-Authors: M. Larrañeta, S. Moreno-tejera, M. A. Silva-pérez, I. Lillo-bravo
    Abstract:

    Abstract Several studies have confirmed the relevant impact of the resolution and frequency distribution of solar radiation data on the results of detailed production models. Many of the available Direct Normal irradiance (DNI) databases generated from the satellite images have an hourly resolution. In the present work, we have proposed improvements to an existing model for the generation of 10-min synthetic DNI data from the hourly average DNI values. In the original model, the irradiance is divided into a deterministic and a stochastic component, i.e., the contribution from the hourly mean and stochastic fluctuation obtained from the mean depending on the sky condition, respectively. We have implemented several improvements, and the most relevant is the consistency of the synthetic data with the state of the sky. The adaptation and application of the model to the location of Seville show significant improvements over its predecessor as it achieved 7% rRMSD in hourly values and 1% rRMSD in daily values and presented a realistic frequency distribution in the 10-min resolution. In comparison with the original model, the application of the improved model showed significant performance improvements without any further adaptations to other locations with different climatological characteristics than Seville.

M. Larrañeta - One of the best experts on this subject based on the ideXlab platform.

  • A methodology for the stochastic generation of hourly synthetic Direct Normal Irradiation time series
    Theoretical and Applied Climatology, 2018
    Co-Authors: M. Larrañeta, S. Moreno-tejera, I. Lillo-bravo, M. A. Silva-pérez
    Abstract:

    Many of the available solar radiation databases only provide global horizontal irradiance (GHI) while there is a growing need of extensive databases of Direct Normal radiation (DNI) mainly for the development of concentrated solar power and concentrated photovoltaic technologies. In the present work, we propose a methodology for the generation of synthetic DNI hourly data from the hourly average GHI values by dividing the irradiance into a deterministic and stochastic component intending to emulate the dynamics of the solar radiation. The deterministic component is modeled through a simple classical model. The stochastic component is fitted to measured data in order to maintain the consistency of the synthetic data with the state of the sky, generating statistically significant DNI data with a cumulative frequency distribution very similar to the measured data. The adaptation and application of the model to the location of Seville shows significant improvements in terms of frequency distribution over the classical models. The proposed methodology applied to other locations with different climatological characteristics better results than the classical models in terms of frequency distribution reaching a reduction of the 50% in the Finkelstein-Schafer (FS) and Kolmogorov-Smirnov test integral (KSI) statistics.

  • An improved model for the synthetic generation of high temporal resolution Direct Normal Irradiation time series
    Solar Energy, 2015
    Co-Authors: M. Larrañeta, S. Moreno-tejera, M. A. Silva-pérez, I. Lillo-bravo
    Abstract:

    Abstract Several studies have confirmed the relevant impact of the resolution and frequency distribution of solar radiation data on the results of detailed production models. Many of the available Direct Normal irradiance (DNI) databases generated from the satellite images have an hourly resolution. In the present work, we have proposed improvements to an existing model for the generation of 10-min synthetic DNI data from the hourly average DNI values. In the original model, the irradiance is divided into a deterministic and a stochastic component, i.e., the contribution from the hourly mean and stochastic fluctuation obtained from the mean depending on the sky condition, respectively. We have implemented several improvements, and the most relevant is the consistency of the synthetic data with the state of the sky. The adaptation and application of the model to the location of Seville show significant improvements over its predecessor as it achieved 7% rRMSD in hourly values and 1% rRMSD in daily values and presented a realistic frequency distribution in the 10-min resolution. In comparison with the original model, the application of the improved model showed significant performance improvements without any further adaptations to other locations with different climatological characteristics than Seville.