Attachment B

List of Citation of Research Papers by Other Researchers

 

1. Rehman S., Halawani T. O., and Husain T. "Weibull Parameters for Wind Speed Distribution in Saudi Arabia". Solar Energy, Vol. 53, No. 6, pp. 473 - 479, December 1994.

 

  1. Ulgen K., Genc A., Hepbasli A., et al., Assessment of wind characteristics for energy generation, ENERGY SOURCES, 26 (13), (2004), pp. 1227-1237.
  2. Jaramillo O. A. and Borja M. A., Wind speed analysis in La Ventosa, Mexico: a bimodal probability distribution case, RENEWABLE ENERGY, 29 (10), (2004), pp. 1613-1630.
  3. Ammari HD, Al-Maaitah A, Assessment of wind-generation potentiality in Jordan using the site effectiveness approach, ENERGY, 28 (15), (2003), pp. 1579-1592.
  4. Torres J. L., Prieto E., Garcia A. et. al., Effects of the Model Selected for the Power Curve on the Site Effectiveness and the Capacity Factor of a Pitch Regulated Wind Turbine, Solar Energy, 74(2), (2003), pp. 93-102.
  5. Ulgen K; Hepbasli A., A Study on Evaluating the Power Generation of Solar-Wind Hybrid Systems in Izmir, Turkey, Energy Source, 25(3), (2003), pp. 241-252.
  6. Bivona S., Burlon R., and Leone C., Hourly Wind Speed Analysis in Sicily, Renewable Energy, 28(9), (2003), pp. 1371-1385.
  7. Ulgen K; Hepbasli A.; Determination of Weibull parameters for wind energy analysis of Izmir, Turkey, International Journal of Energy Research, 26(6), (2002), pp. 495-506.
  8. Sulaiman, M. Y.; Akaak, A. M.; Wahab, M. A.; Zakaria, A., Sulaiman, Z. A.; and Suradi, J.; Wind Characteristics of Oman, Renewable Energy, 27(1), (2002), pp. 35-46.
  9. Lun, I. Y. F.; and Lam, J. C., A Study of Weibull Parameters Using Long-Term Wind Observations, Renewable Energy, 20(2), (2000), pp. 145-153.
  10. Torres J. L., Garcia A., Prieto E., and De Francisco A. “Characterization of Wind Speed Data According to Wind Direction.” Solar Energy Vol 66, No. 1, pp. 57-64, 1999.
  11. Garcia A., Torres J. L., Prieto E. and De Francisci A. “Fitting Wind Speed Distributions: A Case Study.” Solar Energy Vol. 62, No. 2, pp. 139-144, 1998.
  12. Eckert E. R. G., Goldstein R. J., Ibele W. E., Patankar S. V., Simon T. W., Strykowski P. J., Tamma K. K., Kuehn T. H., Barcohen A., Heberlein J. V. R., Hofeldt D. L., Davidson J. H., Bischof J., and Kulacki F. “ Heat Transfer – A Review of 1994 Literature”. Int’l. J. of Heat and Mass Transfer, Vol. 40, No. 16, pp. 3729-3804, 1997.
  13. Lorentz R. D., Lunine J. I., Grier J. A., and Fisher M. A. "Prediction of Aeolian Features on Planets - Application to Titan Paleoclimatology." Journal of Geophysical Research-Planets, Vol. 100, pp. 26377-26386, 1995.
  14. Pashardes S. and Christofides C. "Statistical Analysis of Wind Speed and Direction in Cyprus." Solar Energy, Vol. 55, No. 5, pp. 405-414, 1995.

 

2. Rehman S., Husain T., and Halwani T. O. "Application of a One - Dimensional Planetary Boundary Layer Model to The Regional Transport of Pollutants - A Case Study".  Atmospheric Research Journal, Vol. 25, No. 6, November 1990, pp. 521 - 538.

 

  1. Mcqueen J. T. and Draxler R. R. "Evaluation of Model Back Trajectories of the Kuwait Oil Fires Smoke Plume Using Digital Satellite Data." Atmospheric Environment, Vol. 28, No. 13, pp. 2159-2174, 1994.

 

3. Rehman S. and Halawani T. O. “Global Solar Radiation Estimation”, Renewable Energy Vol. 12, No. 4, 1997, pp. 369-385.

 

  1. Almorox J., Benito M., and Hontoria C., Estimation of monthly Angstrom-Prescott equation coefficients from measured daily data in Toledo, Spain RENEWABLE ENERGY, 30 (6), (2005), pp. 931-936.
  2. Ulgen K; Hepbasli A., Prediction of Solar Radiation Parameters through Clearness Index for Izmir, Turkey, Energy Sources, 24(8), (2002), pp.773-785.
  3. Ulgen K; Hepbasli A., Comparison of Solar Radiation Correlations For Izmir, Turkey, International Journal of Energy Research, 26(5), (2002), pp. 413-430.
  4. Ulgen K; Hepbasli A., Estimation of  Solar Radiation Parameters for Izmir, Turkey, International Journal of Energy Research, 26(9), (2002), pp. 807-823.
  5. Sahin, A. Z.; Aksakal, A.; and Kahraman, R., Solar Radiation in the Northeastern Region of Saudi Arabia, Energy Sources, 22(10), (2000), pp. 859-864
  6. Craggs, C.; Conway, E.; and Pearsall, N. M., Stochastic Modelling of Solar Irradiance on Horizontal and Vertical Planes at a Northerly Location, Renewable Energy, Vol. 18, No. 4, pp. 445-463, 1999.
  7. Sahin A. Z., Aksakal A., and Sunar M. “Solar Energy Availability in the North-Eastern Arabian Peninsula”, Applied Energy, Vol 64, No. 1-4, pp. 323-329, 1999.

 

4. Rehman S. “Solar Radiation Over Saudi Arabia and Comparisons with Existing Empirical Models”, Energy – The International Journal, Vol. 23, No. 12, 1998, pp. 1077-1082.

 

  1. Bilgen, E., Solar Hydrogen from Photovoltaic-Electrolyzer Systems, Energy Conversion and Managemnet, Vol. 42, No. 9, (2001), pp.1047-1057.

2.      Hossain M. A. and Bala B. K. “Moisture Sorption Isotherms of Green Chilli”, International Journal of Food Properties, Vol. 3, No. 1, pp. 93-104, 2000.

3.      Hossain M. A. and Bala B. K. “Moisture Isotherm Characteristics for Red Chilli”, Drying Technology, Vol. 18, No. 1-2, pp. 503-515, 2000.

4.      Badescu V. “Correlations to Estimate Monthly Mean Daily Solar Global Irradiation – Application to Romania”, Energy – The International Journal, Vol. 24, No. 10, pp. 883-893, 1999.

 

5. Rehman, S., Husain, T., and Halawani, T. O. "Radiative Fluxes in the Troposphere From Upper Air Meteorological Data in Saudi Arabia". Solar Energy, 49(1), (1992), pp. 35-40.

 

1.      Al-Garni, A. Z.; Sahin, A. Z.; and Al-Farayedhi, A., Modeling of Weather Characteristics and Wind Power in the Eastern Part of Saudi Arabia, International Journal of Energy Research, Vol. 23, No. 9, pp. 805-812, 1999.

 

6. Mohandes, M., Rehman, S., and Halawani, T. O. "Estimation of Global Solar Radiation Using Artificial Neural Networks", Renewable Energy, 14(1-4), (1998), pp. 179-184.

 

 

  1. Tymvios F. S., Jacovides C. P., Michaelides S. C. and Scouteli C., Comparative Study of Angstrom and artificial Neural Networks’ Methodologies in Estimating Global Solar Radiation, Solar Energy, 78, (2005), pp. 752 – 762.
  2. Sozen A, Arcaklioglu E, Ozkaymak M, Turkey's Net Energy Consumption, APPLIED ENERGY, 81 (2),(2005),  pp. 209-221.
  3. Sozen A, Arcaklioglu E, Ozalp M, et al., Solar-Energy Potential in Turkey, APPLIED ENERGY, 80 (4), (2005), pp. 367-381,
  4. Sozen A and Arcakhoglu E, Effect of Humidity on solar potential, Applied Energy, xx, (2005), pp. xxx-xxx.
  5. Sozen A, Arcakhoglu E, Ozalp M, et al., Forecasting based on neural network approach of solar potential in Turkey, RENEWABLE ENERGY 30 (7): (2005), pp. 1075-1090.
  6. Mora-Lopez L, Mora J, Morales-Bueno R, et al., Modeling time series of climatic parameters with probabilistic finite automata, ENVIRONMENTAL MODELLING & SOFTWARE 20 (6): (2005), pp. 753-760.
  7. Sozen A, Arcaklioglu E, Ozalp M, et al., Performance parameters of an ejector-absorption heat transformer, APPLIED ENERGY 80 (3): (2005), pp. 273-289.
  8. Sozen A. and Arcaklioglu E., Solar potential in Turkey, APPLIED ENERGY 80 (1): (2005), pp. 35-45.
  9. Cam E, Arcaklioglu E, Cavusoglu A, et al., A classification mechanism for determining average wind speed and power in several regions of Turkey using artificial neural networks, RENEWABLE ENERGY 30 (2), (2005), pp. 227-239.
  10. Sozen A, Ozalp M, Arcaklioglu E, et al., A study for estimating solar resources in Turkey using artificial neural networks, ENERGY SOURCES 26 (14): (2004), pp. 1369-1378.
  11. Sozen A, and Akcayol M. A., Modelling (using artificial neural-networks) the performance parameters of a solar-driven ejector-absorption cycle, APPLIED ENERGY, 79 (3): (2004), pp. 309-325.
  12. Sozen A, Arcaklioglu E, and Ozalp M., Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data
    13. , ENERGY CONVERSION AND MANAGEMENT 45 (18-19): (2004), pp. 3033-3052.
  13. Sozen A, Arcaklioglu E, Ozalp M, et al., Use of artificial neural networks for mapping of solar potential in Turkey, APPL ENERG, 77 (3), (2004), pp.  273-286.
  14. Mora-Lopez L, Sidrach-de-Cardona M., Using probabilistic finite automata to simulate hourly series of global radiation, Solar Energy, 74 (3), (2003), pp.  235-244.
  15. Hontoria L, Aguilera J, and Zufiria P,Generation of Hourly Irradiation Synthetic Series Using the Neural Network Multilayer Perceptron, Solar Energy, 72(5), (2002), pp. 441-446.
  16. Kalogirou, S. A., Applications of Artificial Neura-Networks for Energy Systems, Applied Energy, 67(1-2), (2001), pp. 17-35.
  17. Kalogirou, S. A., Artificial Neural Networks in Renewable Energy-Systems Applications – A Review, Renewable & Sustainable Energy Reviews, 5(4), (2001), pp. 373-401.

 

7. Mohandes M., Balghonaim A., Kassas M., Rehman S., and Halawani T. O. “Use of Radial Basis Function for Estimating Monthly Mean Daily Solar Radiation”, Solar Energy, 68(2), (2000), pp. 161-168.

 

1.      Mellit A., Benghanem M., Hadj Arab A. and Gessoum A., A simplified model for Generating Sequences of Global solar Radiation Data for Isolated Sites: Using Artificial neural Network and a Library of Markov Transition Matrices Approach, Solar Energy, xxx, (2005), pp. xxx – xxx.

2.      Sozen A. and Arcaklioglu E., Solar potential in Turkey, APPLIED ENERGY 80 (1): (2005), pp. 35-45.

3.      Sozen A, Arcaklioglu E, Ozalp M, et al., Solar-Energy Potential in Turkey, APPLIED ENERGY, 80 (4), (2005), pp. 367-381,

4.      Sozen A and Arcakhoglu E, Effect of Humidity on solar potential, Applied Energy, xx, (2005), pp. xxx-xxx.

5.      Sozen A, Arcakhoglu E, Ozalp M, et al., Forecasting based on neural network approach of solar potential in Turkey, RENEWABLE ENERGY 30 (7): (2005), pp. 1075-1090.

6.      Sozen A, Arcaklioglu E, Ozalp M, et al., Performance parameters of an ejector-absorption heat transformer, APPLIED ENERGY 80 (3): (2005), pp. 273-289.

7.      Jorge F., Szabolcs V. and Armando C. O., Evaluation of the Use of Artificial Neural Networks for the Simulation of Hybrid Solar, International Journal of Green Energy, 1(3), (2004), pp. 337 – 352.

8.      Sozen A, Ozalp M, Arcaklioglu E, et al., A study for estimating solar resources in Turkey using artificial neural networks, ENERGY SOURCES 26 (14): (2004), pp. 1369-1378.

9.      Almogren S. and Veziroglu T. N., Solar-hydrogen energy system for Saudi Arabia, INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 29 (11), (2004), pp. 1181-1190.

10.  Sozen A, Arcaklioglu E, and Ozalp M., Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data, ENERGY CONVERSION AND MANAGEMENT 45 (18-19): (2004), pp. 3033-3052.

11.  Sozen A, Arcaklioglu E, Ozalp M, et al., Use of artificial neural networks for mapping of solar potential in Turkey, APPL ENERG, 77 (3), (2004), pp.  273-286.

12.  Mora-Lopez L, Sidrach-de-Cardona M., Using probabilistic finite automata to simulate hourly series of global radiation, SOL ENERGY, 74 (3), (2003), pp.  235-244.

13.  Bulut H., Generation of Typical Solar Radiation Data for Istanbul, Turkey, International Journal of Energy Research, 27(9), (2003), pp. 847-855.

14.  Reddy K. S. and Ranjan M., Solar Resource Estimation Using Artificial Neural Networks and Comparison with other Correlation Models, Energy Conversion Management, 44(15), (2003), pp. 2519-2530.

15.  Jervase J. A., Al-Lawati A., and Dorvlo A. S. S., Contour Maps for Sunshine Ratio for Oman Using Radial Basis Function Generated Data, Renewable Energy, 28(3), (2003), pp. 487-497.

16.  Goldstein R. J., Eckert E. R. G., and Ibele W. E., Heat Transfer – A Review of 2000 Literature, International Journal of Heat and Mass Transfer, 45(14), (2002), pp. 2853-2957.

17.  Dorvlo ASS; Jervase JA; Al-Lawati A., Solar Radiation Estimation Using Artificial Neural Networks, Applied Energy, 71(4), (2002), pp. 307-319.

18.  Wong, L. T. and Chow W. K., Solar-Radiation Model, Applied Energy, 69(3), (2001), pp. 191-224.

 

8. Rehman S. and Halawani T. O. “Statistical Characteristics of Wind in Saudi Arabia”, Renewable Energy, 4(8), (1994), pp. 949-956.

 

 

  1. Perez I. A., Garcia M. A., Sanchez M. L., et al., Autocorrelation analysis of meteorological data from a RASS sodar, JOURNAL OF APPLIED METEOROLOGY, 43 (8), (2004), pp. 1213-1223.
  2. Ettoumi F. Y., Sauvageot H., and Adane A. E. H., Statistical Bivariate Modelling of Wind Using First Order Markov Chain and Weibull Distribution, Renewable Energy, 28(11), (2003), pp. 1787-1802..
  3. Dorvlo A. S. S., Estimating Wind Speed Distribution, Energy Conversion Management, 43(17), (2002), pp.  2311-2318.

 

9. Mohandes M. A., Rehman S., and Halawani T. O. “A Neural Network Approach for Wind Speed Prediction”, Renewable Energy, 13(3), (1998), pp. 345-354.

 

  1. Kretzschmar R, Eckert P, Cattani D, et al., Neural network classifiers for local wind prediction, JOURNAL OF APPLIED METEOROLOGY, 43 (5), (2004), pp. 727-738.
  2. Boke H, Akkurt S, Ozdemir S, et al., Quantification of CaCO3-CaSO3 center dot 0.5H(2)O-CaSO4 center dot 2H(2)O mixtures by FTIR analysis and its ANN model, MATER LETT, 58 (5), (2004), pp.  723-726.
  3. Akkurt S., Ozdemir S., and Tayfur G., Genetic Algorithm-Artificial Neural Network Model for the Prediction of Germanium Recovery from Zinc Plant Residues, Transactions of the Institution of Mining and Metallurgy Section C-Mineral Processing and Extractive Metallurgy, 111, (2002), pp. C129-C134.

 

10.  Aksakal A. and Rehman S. “Global Solar Radiation in Northeastern Saudi Arabia”, Renewable Energy, 17, (1999), pp. 461-472.

 

1.      Ogulata R., Ogulata SN, Solar Radiation on Adana, Turkey, Applied Energy, 71(4), (2002), pp. 351-358

 

 

11.  Rehman S. and Ahmad A., Assessment of Wind Energy Potential for Coastal Locations of the Kingdom of Saudi Arabia, Energy – The International Journal, 29, (2004), pp. 1105 – 1115.

 

1. Akpinar K. E and Akpinar S., An Assessment on Seasonal Analysis of Wind Energy Characteristics and Wind Turbine Characteristics, Energy Conversion and Management, 46, (2005), pp. 1848-1867.

 

12.  Rehman S. Halawani T. O. and Mohandes M., wind Power Cost Assessment at Twenty Locations in the Kingdom of Saudi Arabia, Renewable Energy, 28, (2003), pp. 573 – 583.

 

1. Akpinar K. E and Akpinar S., An Assessment on Seasonal Analysis of Wind Energy Characteristics and Wind Turbine Characteristics, Energy Conversion and Management, 46, (2005), pp. 1848-1867.

2. Al-Abbadi M. N., Wind Energy Resource Assessment for Five Locations in Saudi Arabia, Renewable Energy 30, (2005), pp. 1489 – 1499.

 

13.  Rehman S., Wind Energy Resources Assessment at Yanbo, Saudi Arabia, Energy Conversion and Management, 45, (2004), pp. 2019 – 2032.

 

1. Akpinar K. E and Akpinar S., An Assessment on Seasonal Analysis of Wind Energy Characteristics and Wind Turbine Characteristics, Energy Conversion and Management, 46, (2005), pp. 1848-1867.

2. Al-Abbadi M. N., Wind Energy Resource Assessment for Five Locations in Saudi Arabia, Renewable Energy 30, (2005), pp. 1489 – 1499.

 

14.  Maslehuddin M., Al-Zaharani M.M., Al-Dulaijan S. U., Abdulquddus, Rehman S. and Ahsan S. N., Effect of steel manufacturing process and atmospheric corrosion on the corrosion-resistance of steel bars in concrete, Cement & Concrete Composites Journal, 24(1), (2002), pp. 151 – 158.


1. Pillai RG, Trejo D., Surface Condition Effects on Critical Chloride Threshold of Steel Reinforcement, ACI Materials Journal, 102(2), (2005), pp. 103-109.

 

15.  Rehman S., Empirical Model Development and Comparison with Existing Correlations, APPLIED ENERGY, 64 (1-4), (1999), pp. 369 – 378.

 

1. Sezer M., and Tarhan S., Comparison of three non-linear models for describing Japanese quail growth curve, JOURNAL OF ANIMAL AND FEED SCIENCES, 14 (2), (2005), pp. 317-326.

 

16.  Aksakal, A., and Rehman S., Measured and Estimated Solar Radiation in the Arabian Gulf Coast, Proceedings of the Second Trabzon International Energy and Environment Symposium, July 26-29, 1998, Karadeniz Technical University, Trabzon , Turkey, Begell House, Inc., pp. 167 – 170.

 

1. Ulgen K. and Hepbasli A., Prediction of Solar Radiation Parameters Through Clearness Index for Izmir, Turkey, 24(8), (2002), pp.773 – 785.