Renewable energy technologies adopted by the UAE: Prospects and challenges – A comprehensive overview

Jamil, Majid; Ahmad, Farzana Kabir; Jeon, Young Jae

doi:10.1016/j.rser.2015.05.087

Cited by 87 publications

(32 citation statements)

References 34 publications

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“…Therefore, the government of UAE targeted to increase the share of renewable energy in total energy consumption and aimed to generate 24% of the total energy demand from renewable sources by 2021 . Recently, Abu Dhabi Emirate put their own renewable targets and committed to meet 7% of total energy demand from renewable energy sources by 2020 while Dubai emirate aimed at 5% renewable energy share by 2030 . Therefore, the forecasted energy demand for fossil fuel using the neurogenetic model may have the minimum uncertainty of 21% in 2020.…”

Section: Discussionmentioning

confidence: 99%

Neurogenetic modeling of energy demand in the United Arab Emirates, Saudi Arabia, and Qatar

Rahman

Khondaker

Hossain

et al. 2017

Env Prog and Sustain Energy

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Socio‐economic variables including gross domestic product, population, and energy and electricity production are used in modeling and forecasting national energy demands of the United Arab Emirates, Saudi Arabia, and Qatar. The proposed model features: (i) the nonlinear component of energy demand (removal of linear trend), (ii) application of double exponential smoothing method for input data projection, and (iii) genetic algorithm‐based artificial neural network (ANN) models. The proposed neuro‐genetic model performed very well for the three selected countries. The coefficient of determination and Willmott's index of agreement for the training and testing dataset are quite high whereas the mean absolute error, mean absolute percentage error and root mean squared error are quite low. The acceptable agreements between the observed energy consumption and the model predictions revealed its viability for the study of energy demand in the three selected member states of the energy exporting regional alliance Gulf Cooperation Council (GCC). © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1208–1216, 2017

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Section: Discussionmentioning

confidence: 99%

Neurogenetic modeling of energy demand in the United Arab Emirates, Saudi Arabia, and Qatar

Rahman

Khondaker

Hossain

et al. 2017

Env Prog and Sustain Energy

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“…The calculated points were at the start and the end of the aerobic cycle (cell concentration of The RSS in the verification was 718 g/m 3 , whereas RSŜ = 43250 g/m 3 with the determination coefficient of 98.2%. Similarly, Chlamydomonas reinhardtii hydrogen concentration and production rate were used to validate the adjusted model.…”

Section: Adjustment Verification With Chlamydomonas Reinhardtii Straimentioning

confidence: 99%

“…Similarly, Chlamydomonas reinhardtii hydrogen concentration and production rate were used to validate the adjusted model. Note that in the previous experiment, a TAP medium was used for the biomass growth, which resulted in a low initial biomass concentration (i.e., 43 g/m 3 ) and low final hydrogen concentration in the experiment. The comparison between the predicted and experimental hydrogen concentration and production rate are featured in Figure 15.…”

Section: Adjustment Verification With Chlamydomonas Reinhardtii Straimentioning

confidence: 99%

“…Consequently, the Intergovernmental Panel on Climate Change aims to stabilize CO2 concentrations below 500 parts per million, and limit the global temperature rise to 2 °C above pre-industrial levels [2]. Amid the growing awareness towards sustainable environment, renewable energy is considered as an attractive alternative to fossil fuels, and its relevant technologies have been improving substantially [3].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Calibration of a Biohydrogen Production Estimation Model

Dias

Vargas

Yang

et al. 2018

ASME 2018 Verification and Validation Symposium

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In this work, a dynamic physics-based model developed for the prediction of biohydrogen production in a compact tubular photobioreactor was calibrated experimentally. The spatial domain in the model was discretized with lumped control volumes, and the principles of classical thermodynamics, mass, species and heat transfer were combined to derive a system of ordinary differential equations whose solution was the temperature and mass fraction distributions across the entire system. Two microalgae species, namely, Acutodesmus obliquus and Chlamydomonas reinhardtii strain cc125 were cultured in triplicate with different culture media via indirect biophotolysis. Experimental biomass and hydrogen concentrations were then used to adjust the specific microalgae growth and hydrogen production coefficients based on residual sum of squares and the direct search method. NOMENCLATURE A1, A2Coefficients in Eq. (5) Ea1, Ea2Activation energy, kJ mol -1

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“…The Arabian Peninsula is one of these regions. Recently, the region has attracted increased interest in building CSP plants due to its consistently high solar resource, and the presence of national initiatives to support solar energy as a measure to reduce consumption of valuable fossil fuel resources [1,2]. However, one of the major issues with the solar resource in Arabia is high dust loading in the atmosphere.…”

Section: Introductionmentioning

confidence: 99%

Measurement of circumsolar ratio in high dust loading regions using a photographic method

Al-Ansary

Shafiq

Rizvi

et al. 2017

AIP Conference Proceedings

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Abstract. Performance of concentrating solar power (CSP) plants is highly affected by direct normal irradiance (DNI).However, it is also important to consider circumsolar radiation in any simulation of a CSP plant, especially in desert regions where dust loading in the atmosphere is expected. There are a number of methods to measure circumsolar radiation. However, most of them require expensive instrumentation. This work introduces a simple method to estimate circumsolar radiation. It involves taking high-resolution photographs of the sun and processing them using a computer code that identifies the sun's disk. The code then uses pixel intensities to obtain the solar intensity distribution across the sun's disk and in the aureole region. The solar intensity distribution is then used to obtain the circumsolar ratio (CSR) which represents the shape of the sun. To test this method, numerous photos of the sun were taken during the month of April and September 2016 at King Saud University in Riyadh, Saudi Arabia. Riyadh is a region that is well known for high dust-loading, especially during the summer. Two days of different atmospheric conditions were selected in September for comparative analysis. Results show that this method produces repeatable results, and that the CSR can increase significantly due to high dust loading and passing clouds. The CSR is found to be a strong function of DNI, ranging from about 4.5% at DNI values above 800 W/m 2 and increasing to as much as 8.5% when DNI drops to about 400 W/m 2 , due to passing clouds. Furthermore, the results show that circumsolar ratio tends to be high in the early morning and late afternoon due to the high air mass, while its values tend to be lowest around solar noon when the air mass is lowest.

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Renewable energy technologies adopted by the UAE: Prospects and challenges – A comprehensive overview

Cited by 87 publications

References 34 publications

Neurogenetic modeling of energy demand in the United Arab Emirates, Saudi Arabia, and Qatar

Neurogenetic modeling of energy demand in the United Arab Emirates, Saudi Arabia, and Qatar

Experimental Calibration of a Biohydrogen Production Estimation Model

Measurement of circumsolar ratio in high dust loading regions using a photographic method

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