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    The effect of strong ambient winds on the efficiency of solar updraft power towers: A numerical case study for Orkney

    , Article Renewable Energy ; Volume 136 , 2019 , Pages 937-944 ; 09601481 (ISSN) Jafarifar, N ; Behzadi, M. M ; Yaghini, M ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    Solar updraft tower (SUT) is a simple power plant in which ventilation of heated air inside a channel drives a turbine. This system is recognised as suitable for areas with abundant solar radiation. As a result, there is no extensive research on the performance of SUTs under mild solar radiation. Studies show that strong ambient crosswinds can affect the performance of a SUT. In this paper, the efficiency of SUTs in areas which benefit from strong winds, despite low solar radiation, is investigated through numerical modelling. Comparison is made between the efficiency of a commercial-scale SUT in Manzanares (Spain) with intensive solar radiation, and one of the same size potentially located... 

    A novel approach for analyzing the effectiveness of the R&D capital for resource conservation: Comparative study on Germany and UK electricity sectors

    , Article Energy Policy ; Volume 147 , 2020 Khajehpour, H ; Miremadi, I ; Saboohi, Y ; Tsatsaronis, G ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Limited access to energy resources and increasing demand for mitigation of the environmental impacts have necessitated higher production efficiencies. Therefore, the promotion of R&D activities has been one of the main parts of national energy policies. In this research work, two methods are used for assessing the effectiveness of the R&D capital on resource conservation. First, by developing the resource-included knowledge production function of the energy sector and second, through direct assessment of the functionality of resource productivity from R&D capital. Based on official data provided by national statistical centers, a comparative analysis has been conducted to examine the... 

    Predictive cordon pricing to reduce air pollution

    , Article Transportation Research Part D: Transport and Environment ; Volume 88 , 2020 Vosough, S ; Poorzahedy, H ; Lindsey, R ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Traffic is a major contributor to emissions in many large cities with severe air pollution. Experience in London, Milan, and Stockholm shows that charging for the use of roads can be effective in reducing emissions, as well as congestion. This study examines the use of predictive cordon tolls based on weather forecasts to reduce ambient air pollution and congestion. Travelers choose their destinations inside or outside the cordon, and whether to drive or take public transport. Passenger vehicles are divided into three classes according to their emission characteristics, and higher tolls are imposed on more polluting vehicles. The Box model of emission dispersion is used to predict air... 

    The global, regional, and national burden of inflammatory bowel disease in 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017

    , Article The Lancet Gastroenterology and Hepatology ; Volume 5, Issue 1 , 2020 , Pages 17-30 Alatab, S ; Sepanlou, S. G ; Ikuta, K ; Vahedi, H ; Bisignano, C ; Safiri, S ; Sadeghi, A ; Nixon, M. R ; Abdoli, A ; Abolhassani, H ; Alipour, V ; Almadi, M. A. H ; Almasi Hashiani, A ; Anushiravani, A ; Arabloo, J ; Atique, S ; Awasthi, A ; Badawi, A ; Baig, A. A. A ; Bhala, N ; Bijani, A ; Biondi, A ; Borzì, A. M ; Burke, K. E ; Carvalho, F ; Daryani, A ; Dubey, M ; Eftekhari, A ; Fernandes, E ; Fernandes, J. C ; Fischer, F ; Haj Mirzaian, A ; Hasanzadeh, A ; Hashemian, M ; Hay, S. I ; Hoang, C. L ; Househ, M ; Ilesanmi, O. S ; Balalami, N. J ; James, S. L ; Kengne, A. P ; Malekzadeh, M. M ; Merat, S ; Meretoja, T. J ; Mestrovic, T ; Mirrakhimov, E. M ; Mirzaei, H ; Mohammad, K. A ; Mokdad, A. H ; Monasta, L ; Negoi, I ; Nguyen, T. H ; Nguyen, C. T ; Pourshams, A ; Poustchi, H ; Rabiee, M ; Rabiee, N ; Ramezanzadeh, K ; Rawaf, D. L ; Rawaf, S ; Rezaei, N ; Robinson, S. R ; Ronfani, L ; Saxena, S ; Sepehrimanesh, M ; Shaikh, M. A ; Sharafi, Z ; Sharif, M ; Siabani, S ; Sima, A. R ; Singh, J. A ; Soheili, A ; Sotoudehmanesh, R ; Suleria, H. A. R ; Tesfay, B. E ; Tran, B ; Tsoi, D ; Vacante, M ; Wondmieneh, A. B ; Zarghi, A ; Zhang, Z. J ; Dirac, M ; Malekzadeh, R ; Naghavi, M ; GBD 2017 Inflammatory Bowel Disease Collaborators ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Background: The burden of inflammatory bowel disease (IBD) is rising globally, with substantial variation in levels and trends of disease in different countries and regions. Understanding these geographical differences is crucial for formulating effective strategies for preventing and treating IBD. We report the prevalence, mortality, and overall burden of IBD in 195 countries and territories between 1990 and 2017, based on data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. Methods: We modelled mortality due to IBD using a standard Cause of Death Ensemble model including data mainly from vital registrations. To estimate the non-fatal burden, we used data... 

    Directional dependence of extreme metocean conditions for analysis and design of marine structures

    , Article Applied Ocean Research ; Volume 100 , 2020 Haghayeghi, Z. S ; Imani, H ; Karimirad, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Marine structures are typically sensitive to the direction of wind and waves, especially in extreme metocean conditions. The extreme metocean conditions and their associated predicted directions are not easily reachable from traditional design methodologies. In this research, the most probable combinations of different extreme metocean conditions along with their associated direction are predicted for the HyWind Scotland wind farm, Scotland. To achieve this, the Hierarchical Bayesian Modeling approach is applied to define the Joint Probability Distribution Function (JPDF) of four combinations of metocean parameters, including wave direction, wind direction and wind-wave misalignment. The...