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RISS 인기검색어
- 검색키워드
- 저자 : Zarook Shareefdeen (검색결과 3 건)
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Comments on waste to energy technologies in the United Arab Emirates (UAE)
Zarook Shareefdeen,Norhan Youssef,Ahmed Taha,Catherine Masoud 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.1
The main reason that drives many developing countries to pursue waste-to-energy (WtE) technologies is that it produces energy while eliminating build-up of large quantities of wastes, at a time, when oil and gas reserves are declining. The rate of generation of municipal solid wastes (MSW) in any given country depends on many factors including economy, population, and modernization of industry and infrastructure developments. The United Arab Emirates (UAE) is a federation of seven emirates that has grown to be one of the Middle East"s most important economic centers. UAE has also become one of the highest waste producing countries due to fast development and growth; thus, UAE pursue modern technologies to covert generated wastes into energy. In this communication, the status of on-going waste to energy projects and WtE plants that are currently under design and construction in UAE are discussed. The need for development of WtE technologies is presented based on the literature, reports, economics and the environmental regulations.
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Hydrogen sulfide (H2S) removal using schist packings in industrial biofilter applications
Zarook Shareefdeen 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.1
Expanded schist can be a promising biofilter media for Hydrogen Sulfide (H2S) removal in industrial appli-cations. In this work, H2S removal performance of a biofilter packed with expanded schist is compared with a patented(EU Patent No. 0 497 214 B1) media which has been commercialized and used in many industrial applications forodor and VOC control from contaminated airstreams. Hydrogen sulfide (H2S) removal performance data from twodifferent schist packing media combinations were used in the analysis (BF1: inoculated with activated sludge, BF3:inoculated with activated sludge and 12% synthetic nutrient-UP20). Different mathematical models that describe H2Sremoval performance of a patented and schist packing media, respectively, were used to determine the limitations, sim-ilarities and differences of both media. The results show that both model predictions are in close agreement with theexperimental data of schist packing that is inoculated with activated sludge (BF1). Thus, patented media removal per-formance of H2S is closely equivalent to expanded schist media inoculated with activated sludge (BF1). When modelcomparisons are made on a similar basis with schist media inoculated with activated sludge and 12% UP20 nutrient(BF3), the removal performance of schist media is found to be superior to that of patented biofilter media, especiallyfor loading rate greater than 7 g/m3media/hr. Since the patented biofilter media (EU Patent No. 0 497 214 B1) is com-mercially used by many industries, the results presented in this work will be valuable for practicing engineers and con-sultants who work in full-scale design and operation of biofilters.
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A novel approach to the solution of a steady state biofilter model
Mubarak Salih,Zarook Shareefdeen,Suheil Khouri 대한환경공학회 2020 Environmental Engineering Research Vol.25 No.5
Designing of air pollution control equipment such as biofilters, also known as gas phase biological reactors, for elimination of toxic volatile organic compounds (VOCs) from air streams require accurate modeling and model solutions. In this work, a novel approach is employed to solve a biofilter model and for performance predictions. The approach is based on expressing the particular solution of the governing equations as an integral containing Green’s function. The integral is then tuned to develop a suitable operator in which Krasnoselskii-Mann’s fixed point iteration method is applied. In this work, this technique was utilized to model the biological degradation of methanol and alpha-pinene. The results obtained by the proposed technique were compared against the experimental data adopted from literature and the originally published numerical solution. The comparison showed that the approach is highly accurate and converges fast with a uniformly distributed residual error over the entire domain. Furthermore, the method was used to perform a sensitivity analysis on the model equations to evaluate the performance of the biofilter under various conditions. To the authors’ knowledge, this is the first time Mann’s Green’s embedded method (MGEM) is applied in the solution of biofilter models.
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