This page has only limited features, please log in for full access.
Sarcocystis species is a genus of cyst-forming parasites infecting both humans and animals globally. Some of these species cause clinical and subclinical diseases in the host and may lead to economic losses. This study was carried out to identify the distribution patterns of Sarcocystis spp. in slaughtered sheep based on the digestion method and PCR-RFLP in Isfahan, the center of Iran. In total, 150 fresh muscle samples (30 hearts, 60 esophagi, and 60 diaphragms) were investigated by naked eye observation and then scrutinized based on the digestion method. To this end, pepsin and HCl were used to observe the Sarcocystis parasite via a light microscope. The PCR was carried out to intensify a fragment of the 18S rRNA gene. Afterward, the PCR products were exposed to digestion by endonuclease TaqI, HindII, EcoRI, and AvaI. Consequently, the results of RFLP were confirmed by sequencing, and the phylogenetic placement of all species was analyzed. Through the examination by the naked eye, 5/150 (3.33%) macroscopic cysts were found in the samples. With the tissue digestion and microscopic examination, 116 (77.33%) samples were positive for Sarcocystis spp.; however, 125 (83.33%) samples were positive with PCR. Moreover, the results of sequence analysis on macrocysts and microcysts showed that 4% and 96% of the species belonged to S. gigantea and S. tenella, respectively. According to the results of the current study, sarcocystosis caused by S. tenella are highly prevalent among sheep in the Isfahan region. Due to the high prevalence of Sarcocystis infection in the world and Iran, the development of disease control and prevention policies in sheep would be essential, and changing attitudes in the way of keeping livestock from the traditional type to the industrial method is recommended in this regard.
Nader Pestechian; Hossein Ali Yousefi; Reza Kalantari; Rasool Jafari; Faham Khamesipour; Mohammad Keshtkar; Mahsa Esmaeilifallah. Molecular and Microscopic Investigation of Sarcocystis Species Isolated from Sheep Muscles in Iran. Journal of Food Quality 2021, 2021, 1 -6.
AMA StyleNader Pestechian, Hossein Ali Yousefi, Reza Kalantari, Rasool Jafari, Faham Khamesipour, Mohammad Keshtkar, Mahsa Esmaeilifallah. Molecular and Microscopic Investigation of Sarcocystis Species Isolated from Sheep Muscles in Iran. Journal of Food Quality. 2021; 2021 ():1-6.
Chicago/Turabian StyleNader Pestechian; Hossein Ali Yousefi; Reza Kalantari; Rasool Jafari; Faham Khamesipour; Mohammad Keshtkar; Mahsa Esmaeilifallah. 2021. "Molecular and Microscopic Investigation of Sarcocystis Species Isolated from Sheep Muscles in Iran." Journal of Food Quality 2021, no. : 1-6.
Energy consumption rising and fossil fuels drawbacks, which comprised of emissions and the concern of depletion, have forced nations to replace other sources such as the renewable energies to achieve a reasonable solution. Solar energy is one of the most promising resources to overcome the increasing demand in residential sector. In this regard, the PV systems are kind of conventional technologies which are widely integrated in buildings. However, the widespread utilization of these new resources, the feasibility analysis is needed to assess the economic profitability. This paper focus on the feasibility assessment of a residential PV system in the content of different electricity pricing schemes including flat pricing (S1), Time-of-Use pricing (S2) and Time-of-Use/tiered pricing (S3). Hence, the economic indicators (NPV and payback time) were calculated for the mentioned pricing models. The results showed that the S3 scheme has the highest NPV value (11258$) and the lowest payback period (3.8 years). In conclusion, the last two methods, known as Demand Side Management (DSM), are more beneficial compared to the flat pricing and proposed for the implementation of a PV system in Iran’s residential sector.
Mohammad Hasan Ghodusinejad; Sanaz Tabasi; Hossein Yousefi. Impacts of Demand Side Management Methods on the Feasibility of a Residential PV System. 2021, 5, 1 -12.
AMA StyleMohammad Hasan Ghodusinejad, Sanaz Tabasi, Hossein Yousefi. Impacts of Demand Side Management Methods on the Feasibility of a Residential PV System. . 2021; 5 (2):1-12.
Chicago/Turabian StyleMohammad Hasan Ghodusinejad; Sanaz Tabasi; Hossein Yousefi. 2021. "Impacts of Demand Side Management Methods on the Feasibility of a Residential PV System." 5, no. 2: 1-12.
This study presents a novel, highly detailed, and accurate modelling method for calculation of the total annual solar thermal energy received by a double-slope solar still. The model is further utilized for sensitivity analysis and optimization with the help of Genetic Algorithm and TOPSIS methods. The model reveals that the main parameters that can independently affect solar energy input are the basin length, width, tilt angle, surface azimuth angle, and the glass covers’ inclination angle. The sensitivity of the annual solar energy input to all these parameters is analyzed. Moreover, all the parameters are chosen to be involved in the optimization problem. Sensitivity analysis results show that except for basin azimuth angle all other parameters significantly affect the amount of energy input to the solar still. Genetic Algorithm identified 60 optimum sets of parameters, one of which was selected by the TOPSIS method. The optimum values for the basin width, length, tilt and azimuth angles, and the inclination angles of the two glass covers are 2 m, 2 m, 8°, 180°, 80° and 67°, respectively. This design of a double-slope solar still will receive an annual total of 97.67 GJ solar energy input.
Mohamad Aramesh; Hossein Yousefi; Bahman Shabani. Design Parameters of a Double-Slope Solar Still: Modelling, Sensitivity Analysis, and Optimization. Energies 2021, 14, 480 .
AMA StyleMohamad Aramesh, Hossein Yousefi, Bahman Shabani. Design Parameters of a Double-Slope Solar Still: Modelling, Sensitivity Analysis, and Optimization. Energies. 2021; 14 (2):480.
Chicago/Turabian StyleMohamad Aramesh; Hossein Yousefi; Bahman Shabani. 2021. "Design Parameters of a Double-Slope Solar Still: Modelling, Sensitivity Analysis, and Optimization." Energies 14, no. 2: 480.
Hybrid and integrated techniques can be used to investigate intrinsic uncertainties of the overlay and index groundwater vulnerability assessment methods. The development of a robust groundwater vulnerability assessment framework for precise identification of susceptible zones may contribute to more efficient policies and plans for sustainable managements. To achieve an overall view of the groundwater pollution potential, the DRASTIC framework (Depth to the water table, net Recharge, Aquifer media, Soil media, Topography, Impact of the vadose zone, and hydraulic Conductivity) can be used for intrinsic vulnerability assessment. However, the unreliability of this index is because of its inherent drawbacks, including the weight and rating assignment subjectivity. To modify the rating range, this study recommended a new DRASTIC modification using a recently introduced Multi-Criteria Decision-Making (MCDM) method, namely the Stepwise Weight Assessment Ratio Analysis (SWARA); in addition, the Entropy and Genetic Algorithm (GA) methods were employed to alter the relative weights of DRASTIC parameters. To improve the DRASTIC index, nitrate concentration data from 50 observation wells in the study site were used. To assess the models’ overall performance, the datasets obtained from new observation wells, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC) were studied. The experiments were carried out in the aquifer of the Qazvin Plain in Iran. The results indicated the higher performance of the modified DRASTIC framework, manifested as an increase in the AUC value from 0.58 for generic DRASTIC to 0.68 for the SWARA-Ent framework and 0.74 for the SWARA-GA framework. The application of the SWARA technique, as an effective MCDM method, resulted in the DRASTIC rating system enhancement. The generic DRASTIC optimization by integrating SWARA and GA provided an effective framework to assess groundwater vulnerability to nitrate contamination in the Qazvin Plain.
Maryam Torkashvand; Aminreza Neshat; Saman Javadi; Hossein Yousefi. DRASTIC framework improvement using Stepwise Weight Assessment Ratio Analysis (SWARA) and combination of Genetic Algorithm and Entropy. Environmental Science and Pollution Research 2020, 28, 46704 -46724.
AMA StyleMaryam Torkashvand, Aminreza Neshat, Saman Javadi, Hossein Yousefi. DRASTIC framework improvement using Stepwise Weight Assessment Ratio Analysis (SWARA) and combination of Genetic Algorithm and Entropy. Environmental Science and Pollution Research. 2020; 28 (34):46704-46724.
Chicago/Turabian StyleMaryam Torkashvand; Aminreza Neshat; Saman Javadi; Hossein Yousefi. 2020. "DRASTIC framework improvement using Stepwise Weight Assessment Ratio Analysis (SWARA) and combination of Genetic Algorithm and Entropy." Environmental Science and Pollution Research 28, no. 34: 46704-46724.
In this paper, a novel framework for optimal sizing of a grid-connected photovoltaic (PV)/battery system is presented to minimize the total net present cost using a novel optimization algorithm based on the teaching and learning process, namely Teaching-Learning-Based Optimization (TLBO). The TLBO algorithm is an efficient optimization method based on the teacher’s influence on the learners’ output in a class. This article shows how backup PV/battery systems can reduce electricity bills, even in countries where their electricity is cheap and subsidized. In comparison to the non-renewable case, the net present cost (NPC) and the cost of energy (COE) of the on-grid PV/battery system are 15.6% and 16.8% more efficient, respectively. The NPC and COE factors were calculated and compared with two other popular optimization algorithms, particle swarm optimization, and genetic algorithm to validate the proposed approach and to ascertain the strength and accuracy of the TLBO algorithm. To compare the results, different cities were examined and the similarity of the results showed that the system is efficient regardless of the surrounding climate. Also, sensitivity analyses on different cities' climatic data, different load demands and PV prices outlined the economic optimal size of the system.
Mina Najafi Ashtiani; Ashkan Toopshekan; Fatemeh Razi Astaraei; Hossein Yousefi; Akbar Maleki. Techno-economic analysis of a grid-connected PV/battery system using the teaching-learning-based optimization algorithm. Solar Energy 2020, 203, 69 -82.
AMA StyleMina Najafi Ashtiani, Ashkan Toopshekan, Fatemeh Razi Astaraei, Hossein Yousefi, Akbar Maleki. Techno-economic analysis of a grid-connected PV/battery system using the teaching-learning-based optimization algorithm. Solar Energy. 2020; 203 ():69-82.
Chicago/Turabian StyleMina Najafi Ashtiani; Ashkan Toopshekan; Fatemeh Razi Astaraei; Hossein Yousefi; Akbar Maleki. 2020. "Techno-economic analysis of a grid-connected PV/battery system using the teaching-learning-based optimization algorithm." Solar Energy 203, no. : 69-82.
Renewable energy resource assessment critical input to national development planning. This paper analyses a multi-criteria decision support system to estimate wind energy resources in central Iran. The Multi-Criteria Decision Making (MCDM) method and site selection criterion for wind resource assessment using ArcGIS are described and developed for the study area. Structural, topographical, and ecological criteria, along with their sub-criteria, have been directed to eliminate unsuitable locations. The methodology takes into account the slope of the terrain, wind speed, distance from the electricity grid, distance from substations, distance from urban areas, and distance from highway and roads as AHP (Analytical Hierarchy Process) criteria. The results of the study show that 20% of the study area is suitable for wind farm development. The South East area of the province, including Karaj and Nazar Abad County, is the highest priority part of Alborz province. A sensitivity analysis indicates that results were generally reliable; however, eliminating the electrical criteria is the best way to enhance the area of available land for wind farm development.
Siamak Moradi; Hossein Yousefi; Younes Noorollahi; Diego Rosso. Multi-criteria decision support system for wind farm site selection and sensitivity analysis: Case study of Alborz Province, Iran. Energy Strategy Reviews 2020, 29, 100478 .
AMA StyleSiamak Moradi, Hossein Yousefi, Younes Noorollahi, Diego Rosso. Multi-criteria decision support system for wind farm site selection and sensitivity analysis: Case study of Alborz Province, Iran. Energy Strategy Reviews. 2020; 29 ():100478.
Chicago/Turabian StyleSiamak Moradi; Hossein Yousefi; Younes Noorollahi; Diego Rosso. 2020. "Multi-criteria decision support system for wind farm site selection and sensitivity analysis: Case study of Alborz Province, Iran." Energy Strategy Reviews 29, no. : 100478.
One of the main objectives of human society in the present century is to achieve clean and sustainable energy through utilization of renewable energy sources (RESs). In this paper, the main purpose is to identify the locations that are suitable for solar energy in the Kurdistan province of Iran. Initially, solar-related data are collected, and suitable criterion and assessment methods are chosen according to the available data. Then, the theoretical potential of solar energy is assessed and the solar radiation map is prepared. Moreover, the technical potential of various solar technologies is evaluated in that study area. These technologies include concentrating solar power (CSP) and photovoltaic (PV) in power plant applications, and rooftop PV panels and solar water heaters in general applications. The results show that the Kurdistan province has the potential capacity for 691 MW of solar photovoltaic power plants and 645 MW of CSP plants. In the case of using solar water heaters, 283 million cubic meters of natural gas and 1.2 million liters of gasoline could be saved in fuel consumption. The savings in the application of domestic PV will be 10.2 MW in power generation.
Younes Noorollahi; Mohammad Mohammadi; Hossein Yousefi; Amjad Anvari-Moghaddam. A Spatial-Based Integration Model for Regional Scale Solar Energy Technical Potential. Sustainability 2020, 12, 1890 .
AMA StyleYounes Noorollahi, Mohammad Mohammadi, Hossein Yousefi, Amjad Anvari-Moghaddam. A Spatial-Based Integration Model for Regional Scale Solar Energy Technical Potential. Sustainability. 2020; 12 (5):1890.
Chicago/Turabian StyleYounes Noorollahi; Mohammad Mohammadi; Hossein Yousefi; Amjad Anvari-Moghaddam. 2020. "A Spatial-Based Integration Model for Regional Scale Solar Energy Technical Potential." Sustainability 12, no. 5: 1890.
Solar assisted ground source heat pump systems (SAGSHPs) have been recently scrutinized by many researchers as it was verified that they have increased the share of renewable energies. Several review papers have been written on solar assisted heat pump systems (SAHPs), studying different types of both solar and heat pump systems coupled with each other. However, what is missing here is the literature discussing the only geothermal type of heat pumps along with the solar energy. This paper aims to puts forward a comprehensive review of the researches conducted on SAGSHPs to facilitate the attributive comparison of them. Reviewing the literature demonstrated that solar thermal energy affects the efficiency of the GSHPs. It is worth noting that the advanced configurations of SAGSHPs perform better than the traditional ones concerning reported higher COPs which draw conspicuous attention towards further studies. The highest values of 13.5 and 5.7 were acquired for COPsys and COPHP through the use of CO2ASHP-CPC and LHEST, respectively. Analytical simulation and artificial intelligence models for predicting the thermodynamic performance and control of SAGSHPs were found to be quite reliable. Economical assessment of SAGSHPs applying novel tri-generation systems led to a minimum payback period of 5 years owing to the high savings on operating costs. Finally, future directions for researches and developments in this field are highlighted due to the general gap in studies for improvement of SAGSHPs to match for higher efficiency.
Giti Nouri; Younes Noorollahi; Hossein Yousefi. Solar assisted ground source heat pump systems – A review. Applied Thermal Engineering 2019, 163, 114351 .
AMA StyleGiti Nouri, Younes Noorollahi, Hossein Yousefi. Solar assisted ground source heat pump systems – A review. Applied Thermal Engineering. 2019; 163 ():114351.
Chicago/Turabian StyleGiti Nouri; Younes Noorollahi; Hossein Yousefi. 2019. "Solar assisted ground source heat pump systems – A review." Applied Thermal Engineering 163, no. : 114351.
In this paper, the performance of a photovoltaic panel integrated with a reflecting mirror is investigated. In this regard, the effects of panel and mirror tilt angles, and the mirror length on the system performance are modeled. The cell temperature rises have also been considered. Moreover, by a 3D model, the lighting and shading statuses are studied in detail, and all the possible conditions are presented and modeled. The resulting model can calculate the amount of incident solar energy on the panel and the generated electrical power in every moment during a year. This amount is dependent on the system configuration and capacity and its location. A 250-W photovoltaic panel and the city of Tehran have been considered the basics of calculations to assess the model results. By employing the genetic algorithm method, the optimum configuration has been found to have 69.084° and 0° tilt angles for the panel and the mirror, respectively, at the mirror length of 2 m. This configuration can generate 2.38 GJ (613.89 kWh) of electrical energy annually. It was also found that the optimum configuration had 0.024 GJ of annual energy losses due to the effects of cell temperature rise.
Sanaz Tabasi; Hossein Yousefi; Younes Noorollahi; Mohamad Aramesh. A detailed investigation and performance optimization of a photovoltaic panel integrated with a reflecting mirror. Applied Thermal Engineering 2019, 160, 114074 .
AMA StyleSanaz Tabasi, Hossein Yousefi, Younes Noorollahi, Mohamad Aramesh. A detailed investigation and performance optimization of a photovoltaic panel integrated with a reflecting mirror. Applied Thermal Engineering. 2019; 160 ():114074.
Chicago/Turabian StyleSanaz Tabasi; Hossein Yousefi; Younes Noorollahi; Mohamad Aramesh. 2019. "A detailed investigation and performance optimization of a photovoltaic panel integrated with a reflecting mirror." Applied Thermal Engineering 160, no. : 114074.
This paper puts forward the simulations of different configurations of combined solar evacuated tubular collector with a ground source heat pump system to meet the heating, cooling and hot water demands of a house in Tabriz. The configurations include: indirect expansion (parallel), indirect expansion (series) and direct expansion. The simulation was done in TRNSYS with 9 m2 evacuated tubular solar collector and three boreholes with depths of 75 m. Power consumption and COP of all configurations were compared, and the optimum configuration had the highest value of overall COP which is the indirect expansion in parallel mode with the overall COP of 3.96. Furthermore, the economic analysis was done to compare the proposed optimum system with the conventional ones, where a payback period of about 13 years was obtained. On the other hand, by considering the environmental effects of fossil fuels produced by conventional systems and natural gas exporting income, the amount of 433.8 US$ and 2629 US$ will be saved, annually. By adding the environmental and natural gas exporting costs to the operating costs of the conventional system, the payback period was reduced down to 6 years, showing that the system can be feasible in the northern parts of Iran with a cold climate.
Giti Nouri; Younes Noorollahi; Hossein Yousefi. Designing and optimization of solar assisted ground source heat pump system to supply heating, cooling and hot water demands. Geothermics 2019, 82, 212 -231.
AMA StyleGiti Nouri, Younes Noorollahi, Hossein Yousefi. Designing and optimization of solar assisted ground source heat pump system to supply heating, cooling and hot water demands. Geothermics. 2019; 82 ():212-231.
Chicago/Turabian StyleGiti Nouri; Younes Noorollahi; Hossein Yousefi. 2019. "Designing and optimization of solar assisted ground source heat pump system to supply heating, cooling and hot water demands." Geothermics 82, no. : 212-231.
The floating photovoltaic (FPV) system is a new power generation system which has attracted a wide attention due to its numerous advantages. Apart from power generation, the system can reduce the water evaporation. Development of FPV power plants requires studying both mechanical and electrical structure of these systems. Many studies have been conducted on FPV systems which have assessed these systems from different points of view. In this paper, an analytical analysis and updated review that studies different aspects of FPV systems as a power generation system is presented. Also, a comparison between the ground mounted and floating PV systems is presented and the gaps of the reviewed subjects are indicated. Furthermore, the applicable FPV array interconnection schemes are discussed and the most favorable reconfiguration schemes for FPV arrays are shown, also multilevel DC-DC converters for grid integration of FPV panels are investigated. Reviewing the articles indicated that the main focus of the researchers was on the experimental study and mechanical investigation of FPV systems as well as the impact of the application of these systems on water evaporation. The present research has a potential to make a contribution to the electrical design and application of FPV panels which are less described in the existing papers.
Parisa Ranjbaran; Hossein Yousefi; Gevork B. Gharehpetian; Fatemeh Razi Astaraei. A review on floating photovoltaic (FPV) power generation units. Renewable and Sustainable Energy Reviews 2019, 110, 332 -347.
AMA StyleParisa Ranjbaran, Hossein Yousefi, Gevork B. Gharehpetian, Fatemeh Razi Astaraei. A review on floating photovoltaic (FPV) power generation units. Renewable and Sustainable Energy Reviews. 2019; 110 ():332-347.
Chicago/Turabian StyleParisa Ranjbaran; Hossein Yousefi; Gevork B. Gharehpetian; Fatemeh Razi Astaraei. 2019. "A review on floating photovoltaic (FPV) power generation units." Renewable and Sustainable Energy Reviews 110, no. : 332-347.
More than 8.5 million people live in Tehran, the capital of Iran, with 111 pollutant days during 2016. Based on Iranian 2016 energy balance sheet, more than 76% of SPM was emitted by gas oil combustion. To determine the main pollutant fuel-consuming sector, the amount of gas oil consumption and SPM production are investigated. Therefore, the transportation and power plant sectors are determined as the main gas oil users with 51.1% and 30.5% of its total consumption. Next, the reduced external cost of implementing biodiesel instead of gas oil for mobile and fixed sources is deliberated. Finally, by comparing the external cost of gas oil consumption and Iran's gross domestic production in 2016, it is revealed that by replacing gas oil with biofuels, 3.935 billion dollars (0.95% of gross domestic production of Iran in 2016) can be reduced.
Sadaf Karkoodi; Soheil Roumi; Hossein Yousefi. Environmental cost of energy consumption and biodiesel as a solution (case study: Iran). International Journal of Sustainable Energy 2019, 38, 966 -980.
AMA StyleSadaf Karkoodi, Soheil Roumi, Hossein Yousefi. Environmental cost of energy consumption and biodiesel as a solution (case study: Iran). International Journal of Sustainable Energy. 2019; 38 (10):966-980.
Chicago/Turabian StyleSadaf Karkoodi; Soheil Roumi; Hossein Yousefi. 2019. "Environmental cost of energy consumption and biodiesel as a solution (case study: Iran)." International Journal of Sustainable Energy 38, no. 10: 966-980.
Given the widespread usage of centrifugal pumps for handling viscous fluids in various industries, improving the performance of these oil pumps has been attractive for both academic researchers and companies. In this study, we demonstrated a high drop in the performance of centrifugal pumps for handling viscous oil using a numerical simulation model of a three-dimensional flow of water and oil fluids. Furthermore, we investigated the effects of the geometrical parameters of (i) the impeller’s entrance and exit angles, (ii) the edge shape of the blade on the inlet and outlet sides, on the pump’s performance using numerical solutions for models that derived from the above slow simulation model. The finite volume method has been used for the discretization of the governing equations. Also, the k-ω SST has been adopted as the turbulence model in the simulation. We then examined that by changing some parameters, the pump performance improves when pumping viscous oil was utilized. The effects of these geometrical parameters were investigated both separately and as a group of parameters. The optimal parameter values in the final model consisted of a 45° inlet blade angle, a 40° outlet blade angle, an elliptical shape in the inlet with a 4-on-1 diameter’s proportion, a circular shape in the blade outlet, and a constant 7.2-millimeters in thickness. Finally, the model has shown a 3.72-meter increase for the head at the ‘Best Efficiency Point’ than the initial starting model.
Hossein Yousefi; Younes Noorollahi; Mojtaba Tahani; Roshanak Fahimi; Salman Saremian. Numerical simulation for obtaining optimal impeller’s blade parameters of a centrifugal pump for high-viscosity fluid pumping. Sustainable Energy Technologies and Assessments 2019, 34, 16 -26.
AMA StyleHossein Yousefi, Younes Noorollahi, Mojtaba Tahani, Roshanak Fahimi, Salman Saremian. Numerical simulation for obtaining optimal impeller’s blade parameters of a centrifugal pump for high-viscosity fluid pumping. Sustainable Energy Technologies and Assessments. 2019; 34 ():16-26.
Chicago/Turabian StyleHossein Yousefi; Younes Noorollahi; Mojtaba Tahani; Roshanak Fahimi; Salman Saremian. 2019. "Numerical simulation for obtaining optimal impeller’s blade parameters of a centrifugal pump for high-viscosity fluid pumping." Sustainable Energy Technologies and Assessments 34, no. : 16-26.
While renewable energy has been considered as an unlimited energy resourcein recent years, increasing dependency on natural gas has created various economic and environmental problems in Iran. Among renewables, geothermal energy is a powerful source for producing electricity and heat, simultaneously. The Sabalan geothermal field in northwestern Iran has a great geothermal potential and 11 geothermal wells have been drilled there during the last decade. The present design of the Sabalan geothermal power plant does not utilize the potential of the waste hot water and this useful energy flow would be wasted by injecting it into the underground reservoir. In this study, four geothermal energy utilization scenarios are modelled, analyzed and compared. The first and second scenarios are focused on electricity production in single and double flash geothermal system, while the third and fourth ones consider direct uses besides electricity production. Direct applications considered in this paper are district heating, greenhouses, tourist centres, fish farming and heat supply for factories. Exergy analysis is conducted to find a reliable system design. Also, the efficiency analysis indicates that the double-flash condensing power plant designed can generate 27.5 MW electricity and 76.1 MW heat from existing wells with direct geothermal uses. Lastly in this paper, the environmental effect of producing electricity and heat in the proposed system shows 696,200 tons of CO2 emission reduced compared to the using fossil fuel power plants and heating system.
Hossein Yousefi; Soheil Roumi; Halldór Ármannsson; Younes Noorollahi. Cascading uses of geothermal energy for a sustainable energy supply for Meshkinshahr City, Northwest, Iran. Geothermics 2019, 79, 152 -163.
AMA StyleHossein Yousefi, Soheil Roumi, Halldór Ármannsson, Younes Noorollahi. Cascading uses of geothermal energy for a sustainable energy supply for Meshkinshahr City, Northwest, Iran. Geothermics. 2019; 79 ():152-163.
Chicago/Turabian StyleHossein Yousefi; Soheil Roumi; Halldór Ármannsson; Younes Noorollahi. 2019. "Cascading uses of geothermal energy for a sustainable energy supply for Meshkinshahr City, Northwest, Iran." Geothermics 79, no. : 152-163.
Energy is the main inputs of products and services. Energy has strategic role at the micro- and macro-economic scales in the countries. Compared with other fossil energy sources, the natural gas has been the most growing one. This fact suggests that understanding the effects of natural gas utilisation on the economical situation of different countries is an important subject among researchers and policymakers. This research is conducted to analyse the effect of natural gas supply in the economics of five developed, emerging, and developing countries (US, Brazil, Germany and Iran). The countries were selected based on the importance of natural gas in their energy supply. The results show that countries with natural gas sources (Iran and the US) are more gas dependent. The reason for high natural gas dependency in Iran is due to the lack of effective energy legislation. In other countries (Germany, Brazil and Turkey), the level of development is highly related to the natural gas consumption. To sum up, decent natural gas consumption in beneficial sectors can improve countries economic development.
Soheil Roumi; Hossein Yousefi; Alireza Aslani; Kaveh Bekhrad. Effects of natural gas supply on macro-economics: comparative analysis. International Journal of Ambient Energy 2018, 42, 483 -490.
AMA StyleSoheil Roumi, Hossein Yousefi, Alireza Aslani, Kaveh Bekhrad. Effects of natural gas supply on macro-economics: comparative analysis. International Journal of Ambient Energy. 2018; 42 (5):483-490.
Chicago/Turabian StyleSoheil Roumi; Hossein Yousefi; Alireza Aslani; Kaveh Bekhrad. 2018. "Effects of natural gas supply on macro-economics: comparative analysis." International Journal of Ambient Energy 42, no. 5: 483-490.
The concentrating photovoltaic thermal systems are of much interest among all photovoltaic thermal units which have recently been developed. The trough collectors and Fresnel lenses are more significant in case of concentrating devices, and both are the linear parabolic collectors which have been commercialized well. The numerous publications about these collectors show their importance in the efficient cogeneration of heat and power. Therefore, it is interesting to gather and discuss all the related research papers in an article to show the history as well as the latest developments in this field. This study provides a critical review on the trough/Fresnel based photovoltaic thermal systems. The chapters, containing trough and Fresnel lens, are categorized into three parts as experimental, hybrid studies, and analytical-simulation works. With this regard, the experimental works are summarized in individual tables for each mentioned category. To conclude the survey, some gaps are identified, and suggestions are recommended for future works.
Alibakhsh Kasaeian; Sanaz Tabasi; Javad Ghaderian; Hossein Yousefi. A review on parabolic trough/Fresnel based photovoltaic thermal systems. Renewable and Sustainable Energy Reviews 2018, 91, 193 -204.
AMA StyleAlibakhsh Kasaeian, Sanaz Tabasi, Javad Ghaderian, Hossein Yousefi. A review on parabolic trough/Fresnel based photovoltaic thermal systems. Renewable and Sustainable Energy Reviews. 2018; 91 ():193-204.
Chicago/Turabian StyleAlibakhsh Kasaeian; Sanaz Tabasi; Javad Ghaderian; Hossein Yousefi. 2018. "A review on parabolic trough/Fresnel based photovoltaic thermal systems." Renewable and Sustainable Energy Reviews 91, no. : 193-204.
Assessing the vulnerability of groundwater contamination is an important issue in water resource management. Currently, due to the increased activity in agriculture and the use of chemical fertilizers, contamination potential assessment in the Khoraramabad-Lorestan Plain has become very critical. In the present study, groundwater pollution potential is evaluated using two frameworks, namely DRASTIC and SINTACS. For this purpose, seven hydrogeological factors (i.e., groundwater depth, recharge, aquifer media, soil media, topography, unsaturated zone impact, and hydraulic conductivity) are imported to DRASTIC and SINTACS models. Then, using the overlapping method, these seven parameters are combined to prepare a final map. According to these methods, most of the high pollution potential areas are in the north and northwest plains covering an area of 50.49 km2 in the DRASTIC framework and 65.49 km2 in SINTACS model. Zones with less pollution potential are in the southern part of the plains. To verify the results of the two models, a vegetation map of the area was used, which shows that the area with the greatest contamination potential corresponds to the agricultural irrigated lands where chemical fertilizers are commonly applied.
Hossein Yousefi; Ali Haghizadeh; Yazdan Yarahmadi; Parvin Hasanpour; Parvin Noormohamadi. Groundwater pollution potential evaluation in Khorramabad-Lorestan Plain, western Iran. Journal of African Earth Sciences 2018, 147, 647 -656.
AMA StyleHossein Yousefi, Ali Haghizadeh, Yazdan Yarahmadi, Parvin Hasanpour, Parvin Noormohamadi. Groundwater pollution potential evaluation in Khorramabad-Lorestan Plain, western Iran. Journal of African Earth Sciences. 2018; 147 ():647-656.
Chicago/Turabian StyleHossein Yousefi; Ali Haghizadeh; Yazdan Yarahmadi; Parvin Hasanpour; Parvin Noormohamadi. 2018. "Groundwater pollution potential evaluation in Khorramabad-Lorestan Plain, western Iran." Journal of African Earth Sciences 147, no. : 647-656.
In these days, energy, water, fossil fuel restrictions and greenhouse gas emission have become the mutual problem of all countries. The application of hydro turbines, especially pumps as turbines in water distribution network, can be a great solution to these problems. In this research study, it is aimed to introduce a procedure for obtaining the optimum position of a pump as turbine in water distribution network. For this purpose, two objective functions are considered, namely power and up surge ratio. The reason of selecting the power is to maximize the energy production and minimize the payback period, and the reason of selecting the upsurge ratio is to minimize the initial costs and network risks. In the proposed methodology, a transient analysis database is being combined with optimization algorithms. In this research study, Bently hammer software has been used for generating the mentioned database. Ant colony optimization algorithm has been used for obtaining the discrete variable and three other heuristic algorithms, namely grey wolf optimizer, whale optimization algorithm and ion motion algorithm were used for finding the best continuous variable. Pipe number and the position of hydro turbine on the pipe were considered as the discrete and continuous variables, respectively. The proposed methodology was tested on a network in Palermo which data were available. The results indicated that the proposed methodology can suggest the best 6 pipes among 70 pipes of network and also the accurate position of the turbine on the pipe.
Mojtaba Tahani; Hossein Yousefi; Younes Noorollahi; Roshanak Fahimi. Application of nature inspired optimization algorithms in optimum positioning of pump-as-turbines in water distribution networks. Neural Computing and Applications 2018, 31, 7489 -7499.
AMA StyleMojtaba Tahani, Hossein Yousefi, Younes Noorollahi, Roshanak Fahimi. Application of nature inspired optimization algorithms in optimum positioning of pump-as-turbines in water distribution networks. Neural Computing and Applications. 2018; 31 (11):7489-7499.
Chicago/Turabian StyleMojtaba Tahani; Hossein Yousefi; Younes Noorollahi; Roshanak Fahimi. 2018. "Application of nature inspired optimization algorithms in optimum positioning of pump-as-turbines in water distribution networks." Neural Computing and Applications 31, no. 11: 7489-7499.
Selection of suitable sites for solar power plants requires spatial evaluation taking technical, economic, and environmental considerations into account. This research has applied a fuzzy logic model to carry out spatial site selection for solar power plants in Markazi Province of Iran. Geographical Information System (GIS) capabilities have been used for spatial analysis and visualization of the research results. The suitable areas for solar power plants installation were identified by employing Boolean logic and defining a range of selection criteria all of which were evaluated by fuzzy functions. The raster layers of Boolean and fuzzy logic have been combined to come up with suitable sites with solar energy potential. The results identified some areas in the vicinity of Mahalat and Zarandineh cities as suitable for solar energy utilization. The research also validated the employed combined method as a suitable site selection approach for solar power plants.
Hossein Yousefi; Hamed Hafeznia; Amin Yousefi-Sahzabi. Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran. Energies 2018, 11, 1648 .
AMA StyleHossein Yousefi, Hamed Hafeznia, Amin Yousefi-Sahzabi. Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran. Energies. 2018; 11 (7):1648.
Chicago/Turabian StyleHossein Yousefi; Hamed Hafeznia; Amin Yousefi-Sahzabi. 2018. "Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran." Energies 11, no. 7: 1648.
The increase of environmental concerns, scarcity of fossil fuel resources, uncontrolled growth of demand, along with the development of efficient multi-generation systems have made the restructuring of current energy systems inevitable. Future energy systems will be in the form of sustainable multi-energy systems. The optimal operation of such systems requires an integrated energy management system for optimal planning, control and management. Energy hub is a new and promising concept for optimal management of systems with multiple energy carriers. Energy hub has a large potential for realization of energy system models and moving towards sustainable multi-energy systems. This paper provides a comprehensive overview of the concepts and different applications of energy hubs in various energy consumption sectors including residential, commercial, industrial, agricultural, and the integration of these systems. The potential role of energy hub as an integrated energy management system to solve the main challenges in these consumption sectors is evaluated. This study focuses on the benefits earned by integration of the options such as demand side management, distributed energy resources, renewable energy resources, multi-generation systems, storage systems as well as using the smart technologies by introducing the concept of smart energy hubs.
Mohammad Mohammadi; Younes Noorollahi; Behnam Mohammadi-Ivatloo; Mehdi Hosseinzadeh; Hossein Yousefi; Sasan Torabzadeh Khorasani. Optimal management of energy hubs and smart energy hubs – A review. Renewable and Sustainable Energy Reviews 2018, 89, 33 -50.
AMA StyleMohammad Mohammadi, Younes Noorollahi, Behnam Mohammadi-Ivatloo, Mehdi Hosseinzadeh, Hossein Yousefi, Sasan Torabzadeh Khorasani. Optimal management of energy hubs and smart energy hubs – A review. Renewable and Sustainable Energy Reviews. 2018; 89 ():33-50.
Chicago/Turabian StyleMohammad Mohammadi; Younes Noorollahi; Behnam Mohammadi-Ivatloo; Mehdi Hosseinzadeh; Hossein Yousefi; Sasan Torabzadeh Khorasani. 2018. "Optimal management of energy hubs and smart energy hubs – A review." Renewable and Sustainable Energy Reviews 89, no. : 33-50.