• No results found

Published journal articles

In document UAE Solar Resource (Page 29-38)

1. Eissa, Y., Chiesa, M., Ghedira, H., 2012. Assessment and recalibration of the

Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE. Solar Energy. 86, 1816-1825.

2. Eissa, Y., Marpu, P., Gherboudj, I., Ghedira, H., Ouarda, T., Chiesa, M., 2013. Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images. Solar Energy. 89, 1–16.

3. Lazzarini, M., Marpu, P., Ghedira, H., 2013. Temperature-land cover interactions: The inversion of urban heat island phenomenon in desert city areas. Remote Sensing of Environment. 130, 136-152.

4. Parajuli, S., Gherboudj, I., Ghedira, H., 2013. The effect of soil moisture and wind speed on aerosol optical thickness retrieval in a desert environment using SEVIRI thermal channels. International Journal of Remote Sensing. 34(14), 5054-5071.

Journal articles in press/ accepted for publication

1. Lazzarini, M., Ghedira, H., 2013. Assimilation of Earth Observation Variables and Solar Radiation Parameters in a Surface Energy Balance Model: a Case Study of a Desert City Area. Accepted in IEEE Geoscience and Remote Sensing Letters.

Conference Proceedings

1. Al-Shehhi, M.R., Saffarini, R., Farhat, A., Al-Meqbali, N.K., Ghedira, H., Evaluating the effect of soil moisture, surface temperature, and humidity variations on MODIS-derived NDVI values. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, pp. 3160-3163 (24-29 July, 2011).

2 Parajuli, S.P., Ghedira, H., Gherboudj, I., Effect of soil moisture and land cover on dust generation in desert and arid environment. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, pp. 3070-3073 (24-29 July, 2011).

3. Eissa, Y., Ghedira, H., Seasonal and geographical variation of Linke turbidity factor and its effect on global horizontal irradiance estimation: UAE case study. Abstract#

A11H-0188 presented at 2011 Fall Meeting, American Geophysical Union, AGU, San Francisco, Calif. (5-9 Dec, 2011).

4. Gherboudj, I., Parajuli, S. P., Ghedira, H., Evaluation of SEVIRI Thermal Infra-Red data for airborne dust detection in an arid regions: the UAE case study. Abstract# A53C-0188 presented at 2011 Fall Meeting, AGU, San Francisco, Calif. (5-9 Dec, 2011).

of the vertical wind profile in UAE. Abstract # GC41D-0845 presented at 2011 Fall Meeting, AGU, San Francisco, Calif. (5-9 Dec, 2011).

6. Moran, S. M., Bilair, S., Isaksen, L., de Rosnay, P., Zhan, X., Ghedira, H., Yang, Z., Mueller, R., Ines, A. M., Zebiak, S. E., Champagne, C., Brown, M., Escobar, V., Weiss, B., Pre-launch research to integrate NASA SMAP soil moisture and freeze/thaw state products in applications. Abstract# H21J-07 presented at 2011 Fall Meeting, AGU, San Francisco, Calif. (5-9 Dec, 2011).

7. Parajuli, S. P., Ghedira, H., Gherboudj, I., A neural networks based method to estimate higher resolution aerosol optical thickness using historical data sets of SEVIRI dust indices, soil moisture and wind speed. Abstract# A53C-0368 presented at 2011 Fall Meeting, AGU, San Francisco, Calif. (5-9 Dec, 2011).

8. Ghedira, H., Gherboudj, I., Parajuli, S., Evaluation of simulated SMAP data on airborne dust monitoring and mapping over the UAE. 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, University of Rome, Italy (5-9 Mar, 2012).

9. Eissa, Y., Ghedira, H., Chiesa, M., Marpu, P. R., Ouarda, T. B.M.J., Recalibration of Heliosat-2 method for global horizontal irradiance estimation in dusty and humid environments. World Renewable Energy Forum, Denver, CO, ID#0206 (13-17 May, 2012).

10. Eissa, Y., Marpu, P. R., Ghedira, H., Ouarda, T. B.M.J., Chiesa, M., Analyzing

temporal and spatial variations of direct normal, diffuse horizontal and global horizontal irradiances estimated from an artificial neural network based model. World Renewable Energy Forum, Denver, CO, ID#0279 (13-17 May, 2012).

11. Eissa, Y., Marpu, P. R., Ghedira, H., Ouarda, T. B.M.J., Chiesa, M., An artificial neural network based approach for estimating direct normal, diffuse horizontal and global horizontal irradiances using satellite images. World Renewable Energy Forum, Denver, CO, ID#0204 (13-17 May, 2012).

12. Al-Shehhi, M., Gherboudj, I., H. Ghedira., Temporal-spatial analysis of chlorophyll concentration associated with dust and wind characteristics in the Arabian Gulf.

Proceedings of the OCEANS’12, MTS/IEEE, Yeosu, South Korea 120112-013 (21-24 May, 2012).

13. Lazzarini, M., Marpu, P., H. Ghedira., Temperature-land cover interactions: the inversion of urban heat Island phenomenon in desert city areas. Taking the temperature of the Earth Workshop, Edinburgh, UK (25-27 June, 2012).

April 2013 Research Center for Renewble Energy Mapping and Assessment 31

using high-resolution visible SEVIRI images. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, pp. 3674-3677 (22-27 July, 2012).

16. Gherboudj, I., Ghedira, H., Retrieving Aerosol Optical Thickness (AOT) over the desert of the United Arab Emirates (UAE) using MSG/SEVIRI infrared measurements.

IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, pp. 4213-4216 (22-27 July, 2012).

17. Al Shehhi, M., Gherboudj, I., Ghedira, H., A study on the effect of dust and wind on phytoplankton activities in the Arabian Gulf. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, pp. 2571-2574 (22-27 July, 2012).

18. Lazzarini, M., Marpu, P., Ghedira, H., Land cover and land surface temperature interactions in desert areas: a case study of Abu Dhabi (UAE). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, pp. 6325-6328 (22-27 July, 2012).

19. Lazzarini, M. and Ghedira, H., Temporal analysis of urban heat island and radiation balance for a desert urban area. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany (22-27 July, 2012).

20. Munawwar, S., Eissa, Y., Ghedira, H., Chiesa, M., Challenges of satellite-based solar resource assessment in dusty environment: the UAE case study. SolarPACES, Marrakech, Morocco (11-14 Sept, 2012).

21. Oumbe, A., H. Bru, Z. Hassar, P. Blanc, L. Wald, A. Fournier, D. Goffe, M. Chiesa, H. Ghedira, Selection and implementation of aerosol data for the prediction of solar resource in United Arab Emirates. SolarPACES, Marrakech, Morocco (11-14 Sept, 2012).

22. Eissa, Y., Marpu, P. R., Ghedira, H., Chiesa, M., SEVIRI-derived direct normal

irradiance using Heliosat-2 global horizontal irradiance and a neural network ensemble:

a comparison. EuroSun, Rijeka, Croatia (18-20 Sept, 2012).

23. Eissa, Y., Marpu, P. R., Ghedira, H., Ouarda, T. B.M.J., Chiesa, M., Near-nowcasting tool for direct normal and global horizontal irradiance estimations using SEVIRI images.

EuroSun, Rijeka, Croatia (18-20 Sept, 2012).

24. Eissa, Y., Marpu, P. R., Ghedira, H., Chiesa, M., Temporal and spatial assessment of yearly solar maps derived from satellite images over the UAE and Qatar. Abstract#

A11I-0164 presented at 2012 Fall Meeting, AGU, San Francisco, Calif. (3-7 Dec, 2012).

25. Ghedira, H., Eissa, Y., A comparison between Heliosat-2 and artificial neural network methods for global horizontal irradiance retrievals over desert environments.

Abstract# A31F-0084 presented at 2012 Fall Meeting, AGU, San Francisco, Calif. (3-7 Dec, 2012).

26. Marpu, P. R., Eissa, Y., Al Meqbali, N., Ghedira, H., Dust indicator maps for

improving solar radiation estimation from satellite data. Abstract# A11I-0165 presented at 2012 Fall Meeting, AGU, San Francisco, Calif. (3-7 Dec, 2012).

27. Munawwar, S., Ghedira, H., Towards Building Reliable, High-Accuracy Solar Irradiance Database For Arid Climates. Abstract# A11I-0166 presented at 2012 Fall Meeting, AGU, San Francisco, Calif. (3-7 Dec, 2012).

28. Alsharif, I., Ghedira, H. (2012) Assessing the attenuating effects of water vapor and airborne dust on solar energy resources in arid environments. Abstract# A11I-0168presented at 2012 Fall Meeting, AGU, San Francisco, Calif. (3-7 Dec, 2012).

29. Oumbe, A., Bru, H., Ghedira, H., Chiesa, M., Blanc, P., Wald, L. (2012) Using AERONET to complement irradiance networks on the validation of satellite-based estimations. Abstract# A11I-0172 presented at 2012 Fall Meeting, AGU, San Francisco, Calif. (3-7 Dec, 2012).

April 2013 Research Center for Renewble Energy Mapping and Assessment 33

8. Bibliography

Alnaser, W.E., Alnaser, N.W., 2011. The status of renewable energy in the GCC countries. Renewable and Sustainable Energy Reviews. 15, 3074– 3098.

Aminou, D., 2002. MSG’s SEVIRI instrument. ESA Bulletin, 15-17.

Barutçuoğlu, Z., Alpaydın, E., 2003. A comparison of model aggregation methods for regression. In: Artificial Neural Networks and Neural Information Processing (ICANN/

ICONIP’03), 76-83.

Bishop, C.M., 2006. Pattern recognition and machine learning. Springer.

BP, June 2011. BP Statistical Review of World Energy. London.

Breiman, L., 1996. Bagging predictors. Machine learning. 24, 123-140.

Cano, D., Monget, J.M., Albuisson, M., Guillard, H., Regas, N., Wald, L., 1986. A method for the determination of the global solar radiation from meteorological satellite data.

Solar Energy. 37, 31-39.

Chokmani, K., Ouarda, T. B.M.J., Hamilton, S., Ghedira, H., Gingras, H., 2008.

Comparison of ice-affected streamflow estimates computed using artificial neural networks and multiple regression techniques. Journal of Hydrology. 349, 383-396.

Cogliani, E., Ricchiazzi, P., Maccari, A., 2007. Physical model SOLARMET for determinating total and direct solar radiation by meteosat satellite images. Solar Energy. 81, 791-798.

Dietterich, T., 2000. Ensemble methods in machine learning. In: First International Workshop on Multiple Classifier Systems (MCS’00), 1-15.

DLR, 2005. Concentrating solar power for the Mediterranean Region. <http://www.dlr.

de/tt/med-csp>.

Dountio, E.G., Njomo, D., Fouda, E., Simo, A., 2010. On the reliability of HELIOSAT method: A comparison with experimental data. Solar Energy. 84, 1047-1058.

Duffie, J.A., Beckman, W.A., 2006. Solar engineering of thermal processes, third ed.

John Wiley & Sons, Inc., New Jersey.

Dumortire, D, 1995. Modelling global and diffuse horizontal irradiances under cloudless skies with different turbidities. In: Final Report JOU2-CT92-0144, Daylight II, Ecole Nationale des Travaux Publics de l’Etat, Vaulx-en-Velin, France.

Heliosat-2 method in global horizontal irradiance modeling over the desert environment of the UAE. Solar Energy. 86, 1816-1825.

Eissa, Y., Marpu, P. R., Ghedira, H., Chiesa, M., 2012b. SEVIRI-derived direct normal irradiance using Heliosat-2 global horizontal irradiance and a neural network ensemble:

a comparison. In EuroSun, Rijeka, Croatia, 18-20 Sept.

Eissa, Y., Marpu, P. R., Gherboudj, I., Ghedira, H., Ouarda, T. B.M.J., Chiesa, M., 2013.

Artificial neural network based model for retrieval of the direct normal, diffuse horizontal and global horizontal irradiances using SEVIRI images. Solar Energy. 89, 1-16.

Freund, Y., Schapire, R.E., 1996. Experiments with a new boosting algorithm. In:

International Conf. on Machine Learning, 148-156.

Gautier, C., Diak, G., Masse, S., 1980. A simple physical model to estimate incident solar radiation at the surface from GOES satellite data. Journal of Applied Meteorology.

19, 1005-1012.

Gueymard, C.A., Garrison, J.D., 1998. Critical evaluation of precipitable water and atmospheric turbidity in Canada using measured hourly solar irradiance. Solar Energy.

62, 291-307.

Gueymard, C., 2009. Direct and indirect uncertainties in the prediction of tilted irradiance for solar engineering applications. Solar Energy. 83, 432-444.

Gueymard, C., 2012. Solar resource assessment and forecasting: Recent

achievements, bankability pressures, and current challenges. Presentation at 2012 World Renewable Energy Forum (WREF), 13-17 May 2012, Denver, CO, USA. <http://

solarconsultingservices.com/Gueymard-Solar%20resource%20challenges%20 WREF12%20web.pdf>.

Hammer, A., Heinemann, D., Hoyer, C., Kuhlemann, R., Lorenz, E., Müller, R., Beyer, H.G., 2003. Solar energy assessment using remote sensing technologies. Remote Sensing of Environment. 86, 423-432.

Hocking, J., Francis, P.N., Saunders, R., 2010. Cloud detection in Meteosat Second Generation imagery at the Met Office. Forecating R&D Technical Report No. 540.

Huld, T., Gottschalg, R., Beyer, H.G., Topic, M., 2010. Mapping the performance of PV modules, effects of module type and data averaging. Solar Energy. 84, 324-338.

Huld T., Šúri M., Dunlop E., Albuisson M, Wald L, 2005. Integration of HelioClim-1

April 2013 Research Center for Renewble Energy Mapping and Assessment 35

from GOES visible channel using generalized cloud indices. Proceeding from 10th Conference on Satellite Meteorology and Oceanography, 9-14 Jan. 2000, Long Beach, California, 133-136.

Ineichen, P., Perez, R., 2002. A new airmass independent formulation for the Linke turbidity coefficient. Solar Energy. 73, 151-157.

Janjai, S., Laksanaboonsong, J., Nunez, M., Thongsathitya, A., 2005. Development of a method for generating operational solar radiation maps from satellite data for a tropical environment. Solar Energy. 78, 739-751.

Janjai, S., 2010. A method for estimating direct normal solar irradiation from satellite data for a tropical environment. Solar Energy. 84, 1685-1695.

Kasten, F., Young, A.T., 1989. Revised optical air mass tables and approximation formula. Applied Optics. 28, 4735-4738.

Klüser, L., Schepanski, K., 2009. Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index. Remote Sensing of Environment. 113, 1853-1867.

Lillesand, T.M., Kiefer, R.W., Chipman, J.W., 2008. Remote sensing and image interpretation, sixth ed. John Wiley & Sons, Inc., New Jersey.

Linke, F., 1922. Transmissions-koeffizient und trübungsfaktor. Beitr. Phys. Atmos. 10, 91-103.

Liou, K.N., 2002. An introduction to atmospheric radiation, second ed. Academic Pr.

Liu, B., Jordan, R., 1963. The long-term average performance of flat-plate solar energy collectors. Solar Energy. 7, 53-74.

Martínez, M.A., Ruiz, J., Cuevas, E., 2009. Use of SEVIRI images and derived products in a WMO Sand and dust Storm Warning System. In: WMO/GEO Expert Meeting on an International Sand and Dust Storm Warning System, doi:10.1088/1755-1307/7/1/012004.

Maxwell, E., George, R., Wilcox, S., 1998. A climatological solar radiation model. In:

Proceedings of American Solar Energy Society Annual Conference, New Mexico, USA, 14-17 June, pp. 505-520.

Mellit, A., Pavan, A.M., 2010. A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy. Solar Energy. 84, 807-821.

Neural Networks. 6, 525-533.

Moradi, I., Mueller, R., Alijani, B., Kamali, G.A., 2009. Evaluation of the Heliosat-II method using daily irradiation data for four stations in Iran. Solar Energy. 83, 150-156.

Moustris, K., Paliatsos, A., Bloutsos, A., Nikolaidis, K., Koronaki, I., Kavadias, K., 2008.

Use of neural networks for the creation of hourly global and diffuse solar irradiance data at representative locations in Greece. Renewable Energy. 33, 928-932.

Mubiru, J., Banda, E., 2008. Estimation of monthly average daily global solar irradiation using artificial neural networks. Solar Energy. 82, 181-187.

NASA, 2012. Surface meteorology and solar energy (SSE) release 6.0 Methodology.

<http://eosweb.larc.nasa.gov/sse/>.

Ouarda, T. B.M.J., Shu, C., 2009. Regional low-flow frequency analysis using single and ensemble artificial neural networks. Water Resources Research. 45, W11428.

Paech, S., Mecikalski, J., Sumner, D., Pathak, C., Wu, Q., Islam, S., Sangoyomi, T., 2009. A calibrated, high-resolution GOES satellite solar insolation product for a climatology of Florida evapotranspiration. Journal of the American Water Resources Association. 45, 1328-1342.

Pedrós, R., Utrillas, M., Martinez-Lozano, J., Tena, F., 1999. Values of broad band turbidity coefficients in a Mediterranean coastal site. Solar Energy. 66, 11-20.

Perez, R., Ineichen, P., Moore, K., Kmiecik, M., Chain, C., George, R., Vignola, F., 2002.

A new operational model for satellite-derived irradiances: description and validation.

Solar Energy. 73, 307-317.

Remund, J., Wald, L., Lefèvre, M., Ranchin, T., Page, J., 2003. Worldwide Linke turbidity information. Proceedings from ISES Solar World Congress, 16-19 June 2003, Goteborg, Sweden, CD-ROM published by International Solar Energy Society.

Saudi Gazette, 2012. Resource mapping critical to GCC renewable energy quest.

<http://www.saudigazette.com.sa/index.cfm?method=home.regcon&content id=20120703128807>.

Şenkal, O., 2010. Modeling of solar radiation using remote sensing and artificial neural network in Turkey. Energy. 35, 4795-4801.

REN21, 2012. Renewables 2012 Global Status Report. Paris: REN21 Secretariat.

Richter, C., Teske, S., Short, R., 2009. Global concentrating solar power - outlook 09.

Greenpeace International/European Solar Thermal Electricity Association (ESTELA)/IEA

April 2013 Research Center for Renewble Energy Mapping and Assessment 37

problems. In: Artificial Intelligence and Statistics, 152-161.

Rigollier, C., Bauer, O., Wald, L., 2000. On the clear sky model of the ESRA—European Solar Radiation Atlas—with respect to the Heliosat method. Solar Energy. 68, 33-48.

Rigollier, C., Lefèvre, M., Wald, L., 2004. The method Heliosat-2 for deriving shortwave solar radiation from satellite images. Solar Energy. 77, 159-169.

Schillings, C., Mannstein, H., Meyer, R., 2004a. Operational method for deriving high resolution direct normal irradiance from satellite data. Solar Energy. 76, 475-484.

Schillings, C., Meyer, R., Mannstein, H., 2004b. Validation of a method for deriving high resolution direct normal irradiance from satellite data and application for the Arabian Peninsula. Solar Energy. 76, 485-497.

Stancich, R., 2012. No slip ups, contends Masdar. CSP Today. <http://social.csptoday.

com/emerging-markets/shams1-no-slip-ups-contends-masdar>.

The Supreme Council of Energy (SCE), 2012. Dubai. <http://www.dubaisce.gov.

ae/2012/01/dubai-launches-mohammed-bin-rashid-al-maktoum-solar-park/ >.

Trieb, F., Schillings, C., O’Sullivan, M., Pregger, T., Hoyer-Klick, C., 2009. Global potential of concentrating solar power. Proceedings from SolarPaces Conference, 15-18 Sept., Berlin, Germany.

Tymvios, F., Jacovides, C., Michaelides, S., Scouteli, C., 2005. Comparative study of Ångström’s and artificial neural networks’ methodologies in estimating global solar radiation. Solar Energy. 78, 752-762.

Vignola, F., Harlan, P., Perez, R., Kmiecik, M., 2007. Analysis of satellite derived beam and global solar radiation data. Solar Energy. 81, 768-772.

Vonder Haar, T., Ellis, J., 1978. Determination of the solar energy microclimate of the United States using satellite data. In: Final Report, NASA Grant NAS5-22372, Colorado State University.

WWF, 2010. Living planet report 2010, Gland.

Zelenka, A., Perez, R., Seals, R., Renné, D., 1999. Effective accuracy of satellite-derived hourly irradiances. Theoretical and Applied Climatology. 62, 199-207.

9. Stakeholders

In document UAE Solar Resource (Page 29-38)

Related documents