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Prediction of Agricultural Water Demand and Uncertainties Under Climate Change(Case Study: Wheat in Cities of Dezful and Andimeshk)
, M.Sc. Thesis Sharif University of Technology ; Abrishamchi, Ahmad (Supervisor)
Abstract
Climate change impacts especially on temperature and precipitation, may have various effects on agriculture and water demand of agriculture sector in different regions around the world. Based on numerous researches, these effects may be positive in a region while another region might endure negative effects. Therefore carrying out researches and developing methods to predict these impacts as well as mitigating strategies seem to be essential. The most worldwide accepted method is using global circulation models (GCMs) outputs under different greenhouse gases emission scenarios, and according to Intergovernmental Panel on Climate Change (IPCC) assessments. IPCC claims that the most recent...
A Carbon Planning Model to Utilize Carbon Dioxide into useful Materials and Biofuels
, M.Sc. Thesis Sharif University of Technology ; Avami, Akram (Supervisor)
Abstract
Excessive usage of fossil fuels and emissions of GreenHouse Gases (GHG) have led to many environmental problems such as climate change. The carbon dioxide emission accounts for 82% of GHG emissions and has the highest retention time in the atmosphere. The study on carbon dioxide is an important issue recently. The carbon dioxide emission from the energy and industrial sectors are 30% and 21%, respectively. It is possible to capture carbon dioxide from the flue gas may be utilized as material and fuel. Developing the utilization of carbon dioxide to replace storage is a solution for implementing carbon capture. The carbon planning model, is based on the selection of technology that is...
Techno-economic assessment of bioethanol production from wheat straw: a case study of Iran
, Article Clean Technologies and Environmental Policy ; 2017 , Pages 1-21 ; 1618954X (ISSN) ; Khajeh Talkhoncheh, M ; Karimi Alavijeh, M ; Sharif University of Technology
Abstract
A process of ethanol production from wheat straw in Iran was simulated using SuperPro Designer. Wheat is the main cereal crop in Iran. Khuzestan Province was selected as a potential location for the construction of plant. A method was developed to estimate the plant capacity. The base plant size in Khuzestan was estimated to be 316 t day−1. The effect of plant size, logistics of residue collection, wheat yield, and agreements with local farmers on the profitability was calculated, and the minimum selling price was determined for different scenarios. In addition, the sensitivity analysis and economic risk assessment were conducted. The operating cost was mainly sensitive to the wheat straw...
Techno-economic assessment of bioethanol production from wheat straw: a case study of Iran
, Article Clean Technologies and Environmental Policy ; Volume 20, Issue 2 , March , 2018 , Pages 357-377 ; 1618954X (ISSN) ; Khajeh Talkhoncheh, M ; Karimi Alavijeh, M ; Sharif University of Technology
Springer Verlag
2018
Abstract
A process of ethanol production from wheat straw in Iran was simulated using SuperPro Designer. Wheat is the main cereal crop in Iran. Khuzestan Province was selected as a potential location for the construction of plant. A method was developed to estimate the plant capacity. The base plant size in Khuzestan was estimated to be 316 t day−1. The effect of plant size, logistics of residue collection, wheat yield, and agreements with local farmers on the profitability was calculated, and the minimum selling price was determined for different scenarios. In addition, the sensitivity analysis and economic risk assessment were conducted. The operating cost was mainly sensitive to the wheat straw...
Reliability Assessment of Wind Power Density in Khouzestan Province
, M.Sc. Thesis Sharif University of Technology ; Moghim, Sanaz (Supervisor)
Abstract
This study seeks to evaluate reliability of wind power density over Khouzestan province using WRF simulations. Based on 10 meter wind speed data extracted from eight synoptic stations over Khouzestan province, two different domains were selected in south and south-west of khouzestan as promising regions with strong wind speeds. WRF model were used to simulate atmospheric data during 2016 and over two selected regions with 2 kilometers grid spacing. Simulated data were verified with comparing to in-situ data via three parameters of RMSE, BIAS and correlation. Results indicate that model configuration had acceptable accuracy in simulating wind speed data. In this study, Monte Carlo...