Showing 1 - 10 of 28
The study presents the local values of wind shear coefficient (WSC) estimated using wind speed measurements made at 20, 30 and 40m above ground level (AGL) during November 01, 1998 and October 12, 2002. The study also includes the local values of air density calculated using temperature and...
Persistent link: https://www.econbiz.de/10010805281
The analysis of recently collected wind data at five sites in Saudi Arabia namely, Dhulum, Arar, Yanbu, Gassim and Dhahran is presented. The five sites represent different geographically and climatologically conditions. The data collected over a period spanned between 1995 and 2002 with...
Persistent link: https://www.econbiz.de/10010805136
The air conditioner should control the building sensible and latent load properly in order to provide the indoor comfort conditions. The conventional mechanical vapor compression system usually controls the latent load by the process of condensation of water vapor in which air is cooled below...
Persistent link: https://www.econbiz.de/10011209047
The pumped hydro energy storage (PHES) is a well-established and commercially-acceptable technology for utility-scale electricity storage and has been used since as early as the 1890s. Hydro power is not only a renewable and sustainable energy source, but its flexibility and storage capacity...
Persistent link: https://www.econbiz.de/10011190361
The statistical characteristics of wind at 10 locations in the Kingdom of Saudi Arabia are studied. The autocorrelation coefficients are computed and correlograms are found compatible with the real diurnal variation of mean wind speed for almost all the locations. The stochastic time series...
Persistent link: https://www.econbiz.de/10010803884
This paper presents the comparison between the observed and estimated values of global solar radiation on horizontal surfaces obtained from the linear Angstrom type of correlation of Rehman and Halawani [1] for 52 cities spread in 11 countries; viz. India, Egypt, Sri Lanka, Spain, Zimbabwe,...
Persistent link: https://www.econbiz.de/10010803888
This paper introduces neural networks technique for wind speed prediction and compares its performance with an autoregressive model. First, we studied the statistical characteristics of mean monthly and daily wind speed in Jeddah, Saudi Arabia. The autocorrelation coefficients are computed and...
Persistent link: https://www.econbiz.de/10010804365
This paper presents the energy output of wind farms in terms of unadjusted energy, gross energy, renewable energy delivered, specific yield and wind farm capacity factor. The analysis also includes the comparison of energy output from two methods: (i) the RETScreen model and (ii) the actual...
Persistent link: https://www.econbiz.de/10010806475
This paper presents the wind data analysis for five coastal locations of the Kingdom of Saudi Arabia, namely Dhahran, Yanbo, Al-Wajh, Jeddah, and Gizan. The data analysis utilized hourly mean values of wind speed and wind direction covering a period of almost 14 years between 1970 and 1983. The...
Persistent link: https://www.econbiz.de/10010808891
We present a comparison between models developed by the present authors and 16 other models for different geographical and varied meteorological conditions. The comparisons are made using the mean bias error (MBE), root mean square error (RMSE), mean percentage error (MPE), and mean absolute...
Persistent link: https://www.econbiz.de/10010809794