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Dr. Ali Sohani
K.N. Toosi University of Technology

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Research Keywords & Expertise

0 Desalination
0 Energy
0 Multi-objective Optimization
0 Fuel cell
0 exergy

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Short Biography

Ali Sohani is a research assistant at KNTU. He received his B.Sc. in mechanical engineering and his M.Sc. in Energy Systems Engineering from the KNTU both as the top (the first) rank student. He has published more than 70 ISI and conference papers and 3 books. Some of Ali's major research interests are optimization, HVAC systems, photovoltaic solar cells, machine learning, power plants, and numerical modeling. More information about him is found on his LinkedIn and Google Scholar Profiles.

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Journal article
Published: 05 July 2021 in Sustainable Energy Technologies and Assessments
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This paper studies a novel comprehensive experimental dynamic performance analysis of a large-scale industrial vapor-compression refrigeration system as a part of a discrete cooling system with the aim of system daily parameter investigation. An innovative high-resolution real-time data monitoring is implemented on the system based on precise internet-of-things sensor technology. For precise evaluation of system performance, energy, exergy, and exergoeconomic aspects were considered to achieve daily results for future energy planning. The results demonstrates that high parameter variations occur during peak hours, while around 70% of both the total refrigeration cooling demand and the total power consumption was during the peak period. Moreover, the system's total exergy destruction rate raised by 88.4% at the peak hours, while the exergy efficiency attained between 27 and 35% throughout the day. In addition, the price of the evaporator outlet air, the desired product of the system, decreased from 96.9 $/GJ at midnight to 61.1 $/GJ at noon peak hours. In this period, the total cost rate for the system increased from 0.89 $/h to 1.10 $/h. The data obtained is not only beneficial regarding dynamic performance analysis of the refrigeration cycle but also can assist for executive purposes regarding energy management and further profit makings.

ACS Style

Mahdi Momeni; S. Jani; Ali Sohani; Elaheh Rahpeyma. A high-resolution daily experimental performance evaluation of a large-scale industrial vapor-compression refrigeration system based on real-time IoT data monitoring technology. Sustainable Energy Technologies and Assessments 2021, 47, 101427 .

AMA Style

Mahdi Momeni, S. Jani, Ali Sohani, Elaheh Rahpeyma. A high-resolution daily experimental performance evaluation of a large-scale industrial vapor-compression refrigeration system based on real-time IoT data monitoring technology. Sustainable Energy Technologies and Assessments. 2021; 47 ():101427.

Chicago/Turabian Style

Mahdi Momeni; S. Jani; Ali Sohani; Elaheh Rahpeyma. 2021. "A high-resolution daily experimental performance evaluation of a large-scale industrial vapor-compression refrigeration system based on real-time IoT data monitoring technology." Sustainable Energy Technologies and Assessments 47, no. : 101427.

Journal article
Published: 01 July 2021 in Energies
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The purpose of this investigation is to propose a way for acquiring the foremost window allocation scheme to have the best trade-off among energy, environmental, and comfort criteria in a building. An advanced decision-making tool, named the technique for order preference by similarity to ideal solution (TOPSIS), is utilized to find the best building amongst different alternatives for having windows on the building façades. Three conditions, namely two parallel, two perpendicular, and three façades, considered as A, B, and C types, respectively, are investigated. For each type, four possible orientations are studied. Heating, cooling, and lighting energy demands in addition to carbon dioxide equivalent emission and thermal and visual comfort are taken into account as the investigated criteria, and they are all evaluated in a simulation environment. The results show that for the modular residential buildings chosen as the case study and located in Tehran, Iran, having windows on the north and east façades is the best scheme. This alternative, which belongs to the B type, has about 40% and 37% lower heating and cooling energy demands than the C type’s foremost alternative. It is also able to provide about 10% better CO2 equivalent emission and 28% higher thermal comfort.

ACS Style

Seyedeh Mousavi Motlagh; Ali Sohani; Mohammad Djavad Saghafi; Hoseyn Sayyaadi; Benedetto Nastasi. Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building. Energies 2021, 14, 3962 .

AMA Style

Seyedeh Mousavi Motlagh, Ali Sohani, Mohammad Djavad Saghafi, Hoseyn Sayyaadi, Benedetto Nastasi. Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building. Energies. 2021; 14 (13):3962.

Chicago/Turabian Style

Seyedeh Mousavi Motlagh; Ali Sohani; Mohammad Djavad Saghafi; Hoseyn Sayyaadi; Benedetto Nastasi. 2021. "Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building." Energies 14, no. 13: 3962.

Journal article
Published: 30 June 2021 in Sustainable Energy Technologies and Assessments
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Numerical simulations of photovoltaic solar panels are performed using temperature-dependent layer properties. The results are compared with experimental data recorded from a 50 W mono-crystalline panel and a 50 W poly-crystalline panel. The comparison shows that, for both panels, introducing temperature dependencies in the layer properties can significantly improve the accuracy of numerical simulations. On a sample day in August 2019, the mean absolute error in power prediction is found to decrease from 9.13 to 4.32% for the mono-crystalline panel and from 9.49 to 5.55% for the poly-crystalline panel, representing accuracy improvements of 52.7% and 41.5%, respectively. On an annual basis, the accuracy of estimating the power generated by the mono- and poly-crystalline panels improves by 52.8% and 41.4%, respectively. Finally, it is found that as the standard deviation of the temperature distribution on the panel increases, so does the effect of the temperature-dependent layer properties. This study highlights the need to account for the temperature dependencies of the different layer properties when numerically simulating photovoltaic panels.

ACS Style

Ali Sohani; Hoseyn Sayyaadi; Mohammad Hossein Doranehgard; Sandro Nizetic; Larry K.B. Li. A method for improving the accuracy of numerical simulations of a photovoltaic panel. Sustainable Energy Technologies and Assessments 2021, 47, 101433 .

AMA Style

Ali Sohani, Hoseyn Sayyaadi, Mohammad Hossein Doranehgard, Sandro Nizetic, Larry K.B. Li. A method for improving the accuracy of numerical simulations of a photovoltaic panel. Sustainable Energy Technologies and Assessments. 2021; 47 ():101433.

Chicago/Turabian Style

Ali Sohani; Hoseyn Sayyaadi; Mohammad Hossein Doranehgard; Sandro Nizetic; Larry K.B. Li. 2021. "A method for improving the accuracy of numerical simulations of a photovoltaic panel." Sustainable Energy Technologies and Assessments 47, no. : 101433.

Journal article
Published: 11 June 2021 in Journal of Cleaner Production
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The operating condition for an experimental setup is usually determined using design of experiment method. However, it does not guarantee to achieve the best possible condition. Therefore, as the novelty, this study aims at using multi-objective optimization for this purpose, by which it could be sure that the best possible condition will be determined. In addition, energy, technical, environmental, and economic indicators have not been taken into account at the same time for finding the best condition before, whereas, as another novelty, they are all considered here. The multi-objective optimization is employed to determine the optimum operating temperature and pressure in an industrial process of toluene production as a solvent. Hildebrand solubility parameter, as well as economic benefit and consumed energy per unit mass of product, have been considered as the objective functions, while carbon dioxide emission has also been taken into account as the environmental function that is optimized to acquire a cleaner production line. According to the results, compared to the design of experiment method, the Hildebrand solubility parameter has been enhanced from 13.32 to 16.11 MPa0.5. Moreover, the benefit increased from 0.0488 to 0.0708 $ kg−1 while the energy production per mass of product had a 71.66% reduction. Acquiring a much cleaner production line to prepare the solvent is also guaranteed by employing the multi-objective optimization where the carbon dioxide emission has been reduced from 0.0793 to 0.0225 kg per unit mass of the prepared solvent. Decreasing both temperature and pressure from 534.15 to 381.65 K, and from 2.50 to 1.10 MPa, respectively, is another big advantage of the employed multi-objective optimization method, which leads to a safer condition.

ACS Style

Ali Sohani; Mona Zamani Pedram; Kiana Berenjkar; Hoseyn Sayyaadi; Siamak Hoseinzadeh; Hamed Kariman; Mamdouh El Haj Assad. Techno-energy-enviro-economic multi-objective optimization to determine the best operating conditions for preparing toluene in an industrial setup. Journal of Cleaner Production 2021, 313, 127887 .

AMA Style

Ali Sohani, Mona Zamani Pedram, Kiana Berenjkar, Hoseyn Sayyaadi, Siamak Hoseinzadeh, Hamed Kariman, Mamdouh El Haj Assad. Techno-energy-enviro-economic multi-objective optimization to determine the best operating conditions for preparing toluene in an industrial setup. Journal of Cleaner Production. 2021; 313 ():127887.

Chicago/Turabian Style

Ali Sohani; Mona Zamani Pedram; Kiana Berenjkar; Hoseyn Sayyaadi; Siamak Hoseinzadeh; Hamed Kariman; Mamdouh El Haj Assad. 2021. "Techno-energy-enviro-economic multi-objective optimization to determine the best operating conditions for preparing toluene in an industrial setup." Journal of Cleaner Production 313, no. : 127887.

Journal article
Published: 28 May 2021 in Sustainability
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Solar irradiation in hot-arid climatic countries results in increased temperatures, which is one of the major factors affecting the power generation efficiency of monocrystalline photovoltaic (PV) systems, posing performance and degradation challenges. In this paper, the efficiency of a water-flow cooling system to increase the output of a monocrystalline PV module with a rated capacity of 80 W is studied from both energy and exergy perspectives. The energy and exergy tests are performed for each season of the year, with and without cooling. The energy and exergy efficiencies, as well as the commodity exergy values, are used to compare the photovoltaic device with and without cooling. The findings are based on the experimental data that were collected in Tehran, Iran as an investigated case study in a country with a hot-arid climate. The findings show that when water-flow cooling is used, the values of the three efficiency metrics change significantly. In various seasons, improvements in regular average energy efficiency vary from 7.3% to 12.4%. Furthermore, the achieved increase in exergy efficiency is in the 13.0% to 19.6% range. Using water flow cooling also results in a 12.1% to 18.4% rise in product exergy.

ACS Style

Ali Sohani; Mohammad Shahverdian; Hoseyn Sayyaadi; Siamak Hoseinzadeh; Saim Memon; Giuseppe Piras; Davide Astiaso Garcia. Energy and Exergy Analyses on Seasonal Comparative Evaluation of Water Flow Cooling for Improving the Performance of Monocrystalline PV Module in Hot-Arid Climate. Sustainability 2021, 13, 6084 .

AMA Style

Ali Sohani, Mohammad Shahverdian, Hoseyn Sayyaadi, Siamak Hoseinzadeh, Saim Memon, Giuseppe Piras, Davide Astiaso Garcia. Energy and Exergy Analyses on Seasonal Comparative Evaluation of Water Flow Cooling for Improving the Performance of Monocrystalline PV Module in Hot-Arid Climate. Sustainability. 2021; 13 (11):6084.

Chicago/Turabian Style

Ali Sohani; Mohammad Shahverdian; Hoseyn Sayyaadi; Siamak Hoseinzadeh; Saim Memon; Giuseppe Piras; Davide Astiaso Garcia. 2021. "Energy and Exergy Analyses on Seasonal Comparative Evaluation of Water Flow Cooling for Improving the Performance of Monocrystalline PV Module in Hot-Arid Climate." Sustainability 13, no. 11: 6084.

Journal article
Published: 27 May 2021 in Journal of Cleaner Production
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Water flow cooling is taken into account as one of the clean and efficient ways to reduce the working temperature and enhance the performance of a photovoltaic solar module, since water, as the working fluid, is an environmentally friendly material and has a high heat capacity to absorb heat at the same time. Considering this point, a 50 W poly and a 50 W mono crystalline solar modules, with almost the same dimensions are considered, and the performance of the water flow cooling system when it is applied for them is evaluated and compared together in details. The evaluation is done by considering the amount of the enhancement in power and efficiency, as the two main energy criteria of a module compared to the no cooling condition, in addition to the water consumption. The investigation is done using a developed mathematical model, which is validated for both with and without cooling conditions by the recorded experimental data. According to the results, the produced power and efficiency of both modules are improved significantly when water flow cooling is utilized, while the enhancement for mono type is higher. Moreover, based on the discussion done, the best trade-off between energy and water consumption performance for both modules and all the meteorological parameters is achieved when water flow rate is around 0.01 kg s−1, and it could be introduced as the “optimum” value of water flow rate for the studied poly and mono crystalline modules. For the standard test condition, adjusting water flow rate to the optimum value leads to 13.7 W and 14.8 W increase in the generated power of poly and mono crystalline modules, while the corresponding values for the efficiency are 3.8% and 4.2%, respectively.

ACS Style

Mohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi. Water-energy nexus performance investigation of water flow cooling as a clean way to enhance the productivity of solar photovoltaic modules. Journal of Cleaner Production 2021, 312, 127641 .

AMA Style

Mohammad Hassan Shahverdian, Ali Sohani, Hoseyn Sayyaadi. Water-energy nexus performance investigation of water flow cooling as a clean way to enhance the productivity of solar photovoltaic modules. Journal of Cleaner Production. 2021; 312 ():127641.

Chicago/Turabian Style

Mohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi. 2021. "Water-energy nexus performance investigation of water flow cooling as a clean way to enhance the productivity of solar photovoltaic modules." Journal of Cleaner Production 312, no. : 127641.

Journal article
Published: 07 May 2021 in Energy Conversion and Management
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The experimental data from the performance of a 300 W poly and a 300 W mono crystalline solar module are gathered during a year, and then, it is employed to evaluate the relation between the standard deviation of temperature distribution on the surface of module and error in prediction of different simulation approaches. The values of error in prediction of working temperature, current, voltage, and power, as the four main key performance parameters of a solar module are obtained for nominal operating cell temperature, nominal module operating temperature, as well as one, two, and three dimensional numerical modeling approaches, as the most popular methods in the literature during the annual performance. The image-processing refined pictures obtained from a high-resolution thermal imaging camera are also employed for the calculation of the standard deviation of temperature distribution. The results demonstrate that the methods used in the engineering applications, like nominal operating cell temperature and nominal module operating temperature, lose their accuracy at the high level of the standard deviation of temperature distribution, i.e., around 15 °C. In addition, voltage and temperature are found as the parameters with the lowest and highest dependencies on the standard deviation of temperature distribution. The maximum values of error for prediction of power by one, two, and three dimensional numerical modeling approaches are also 14.4, 11.4, and 9.6% for the poly crystalline module, and 8.5, 6.3, and 5.2% for the mono type, respectively.

ACS Style

Ali Sohani; Hoseyn Sayyaadi; Mohammad Hossein Moradi; Benedetto Nastasi; Daniele Groppi; Mitra Zabihigivi; Davide Astiaso Garcia. Comparative study of temperature distribution impact on prediction accuracy of simulation approaches for poly and mono crystalline solar modules. Energy Conversion and Management 2021, 239, 114221 .

AMA Style

Ali Sohani, Hoseyn Sayyaadi, Mohammad Hossein Moradi, Benedetto Nastasi, Daniele Groppi, Mitra Zabihigivi, Davide Astiaso Garcia. Comparative study of temperature distribution impact on prediction accuracy of simulation approaches for poly and mono crystalline solar modules. Energy Conversion and Management. 2021; 239 ():114221.

Chicago/Turabian Style

Ali Sohani; Hoseyn Sayyaadi; Mohammad Hossein Moradi; Benedetto Nastasi; Daniele Groppi; Mitra Zabihigivi; Davide Astiaso Garcia. 2021. "Comparative study of temperature distribution impact on prediction accuracy of simulation approaches for poly and mono crystalline solar modules." Energy Conversion and Management 239, no. : 114221.

Journal article
Published: 29 April 2021 in Energy Conversion and Management
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Water-energy-environment nexus was employed in a sample city for flare gas recovery while the reliability of downstream installation is taken into account. First, considering the average characteristics of a house, water and energy demands were estimated. The residential section's water and energy demands were then supplied using flare gas recovery from an oil field near the city. The study was conducted in two scenarios based on meeting the total annual electricity demand and the residential sector's total annual natural gas demand. A hybrid system including a natural-gas liquid refinery, a gas turbine power plant, a heat recovery steam generator, and multi-effect desalination was proposed as downstream installations. By system reliability's consideration using the Markov technique, a novel integrated model was developed to assess different proposed scenarios. In both scenarios, the water and energy shortages could be provided by the network, and the surplus can be sold to the network. It was shown that considering the reliability of technology significantly affects the final configuration of flare gas recovery technology. It was shown that consideration of employed installations' reliability affects the proposed flare gas recovery technologies' features. Accordingly, the first scenario with a capital cost of 236.94 M$ and a product sales income of 93.31 M$, with 1.3 years of return payback period, was selected as the best solution.

ACS Style

Mohammad Tahmasebzadehbaie; Hoseyn Sayyaadi. Regional management of flare gas recovery based on water-energy-environment nexus considering the reliability of the downstream installations. Energy Conversion and Management 2021, 239, 114189 .

AMA Style

Mohammad Tahmasebzadehbaie, Hoseyn Sayyaadi. Regional management of flare gas recovery based on water-energy-environment nexus considering the reliability of the downstream installations. Energy Conversion and Management. 2021; 239 ():114189.

Chicago/Turabian Style

Mohammad Tahmasebzadehbaie; Hoseyn Sayyaadi. 2021. "Regional management of flare gas recovery based on water-energy-environment nexus considering the reliability of the downstream installations." Energy Conversion and Management 239, no. : 114189.

Journal article
Published: 28 April 2021 in Sustainable Cities and Society
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A way to find the best solution to utilize photovoltaic solar panels for residential buildings in urban areas is presented here. Three scenarios, namely, connecting to the grid with and without batteries, and full feed-in, are considered. After obtaining the optimal solution for each item, the best one is selected through a comprehensive comparison by considering energy, economic, and environmental criteria which are taken into account as the objective of the conducted multi-objective optimization. The combination of non-dominated sorting genetic algorithm II (NSGA-II) and technique for order preference by similarity to ideal solution (TOPSIS) is utilized for determination of the optimal answer for each scenario. A residential building complex in Tehran, Iran, as one of the biggest cities in the world is chosen as the case study. The results show that the full feed-in strategy offers the best condition among the alternatives. The optimal answer of this scenario enjoys the high performance ratio of 78.6 % (Performance ratio indicates the ratio of the actual to the theoretical energy output). Moreover, it provides levelized cost of electricity, payback period, and the internal rate of return of 0.15 $.(kWh)−1, 7.3 years, and 21.8 %, while it has the values of 487 $, 0.101 species.year, and 0.023 DALY for damage to resources, ecosystem, and human health, respectively.

ACS Style

Reza Fardi Asrami; Ali Sohani; Ehsan Saedpanah; Hoseyn Sayyaadi. Towards achieving the best solution to utilize photovoltaic solar panels for residential buildings in urban areas. Sustainable Cities and Society 2021, 71, 102968 .

AMA Style

Reza Fardi Asrami, Ali Sohani, Ehsan Saedpanah, Hoseyn Sayyaadi. Towards achieving the best solution to utilize photovoltaic solar panels for residential buildings in urban areas. Sustainable Cities and Society. 2021; 71 ():102968.

Chicago/Turabian Style

Reza Fardi Asrami; Ali Sohani; Ehsan Saedpanah; Hoseyn Sayyaadi. 2021. "Towards achieving the best solution to utilize photovoltaic solar panels for residential buildings in urban areas." Sustainable Cities and Society 71, no. : 102968.

Journal article
Published: 22 April 2021 in Energy
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Considering the fact that electrification is increasingly used in internal combustion engines, this paper aims at presenting a smart speed-load sensitive cooling map for better thermal management. For this purpose, first, thermal boundary conditions for the engine cooling passage were obtained by thermodynamic and combustion simulation. Next, the temperature distribution of the cooling passage walls was determined using conjugate heat transfer method. Then, the effect of engine load on wall temperature distribution was investigated, and it was observed that in the conventional mode where the cooling flow is only affected by the engine speed, the engine is faced with over-cooling and under-cooling. Therefore, the optimum flow for cooling the engine was achieved in such a way that the engine is hot enough and kept free from damage, while the engine has a more uniform temperature distribution. These calculations were performed by considering the boiling phenomenon. The results showed using the cooling map leads to a significant reduction in coolant flow, which in turn reduces the power consumption of the water pump and size of the radiator. Moreover, fuel consumption, hydrocarbon emission production, and the needed power of the coolant pump are enhanced by 2.1, 8.6, and 44.3%, respectively.

ACS Style

Alireza Naderi; Ali Qasemian; Mohammad Hasan Shojaeefard; Saman Samiezadeh; Mostafa Younesi; Ali Sohani; Siamak Hoseinzadeh. A smart load-speed sensitive cooling map to have a high- performance thermal management system in an internal combustion engine. Energy 2021, 229, 120667 .

AMA Style

Alireza Naderi, Ali Qasemian, Mohammad Hasan Shojaeefard, Saman Samiezadeh, Mostafa Younesi, Ali Sohani, Siamak Hoseinzadeh. A smart load-speed sensitive cooling map to have a high- performance thermal management system in an internal combustion engine. Energy. 2021; 229 ():120667.

Chicago/Turabian Style

Alireza Naderi; Ali Qasemian; Mohammad Hasan Shojaeefard; Saman Samiezadeh; Mostafa Younesi; Ali Sohani; Siamak Hoseinzadeh. 2021. "A smart load-speed sensitive cooling map to have a high- performance thermal management system in an internal combustion engine." Energy 229, no. : 120667.

Journal article
Published: 30 March 2021 in Energy
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Molten carbonate fuel cell (MCFC) is combined with the thermally regenerative electrochemical cycle (TREC) to form a novel hybrid system. TREC is considered for harvesting the waste heat of the MCFC and converting it into electricity. The hybrid system performance analyzed in terms of energetic and exergetic, and optimum criteria for critical parameters, like the current density, power output, and efficiency, are specified. Moreover, the effects of the MCFC and TREC critical design parameters on the system performance are discussed. It was obtained that a higher operating temperature of the MCFC increases the power output and efficiency of the hybrid system while decreases exergy destruction. Higher temperature coefficient and regeneration efficiency and lower internal resistance for the TREC lead to higher power output. Multi-objective optimization was applied, and for choosing the final optimal solution, Fuzzy, TOPSIS, and LINMAP decision-making techniques are employed. It was revealed that the maximum power output density and exergy efficiency for the hybrid system was about 6.4%–26.5% and 7.5%–26.4% higher than a standalone MCFC, respectively. Furthermore, the MCFC-TRECs system is evaluated against other MCFC-based hybrid systems, and it was found that TREC could be considered a favorable option for waste heat recovery of the MCFC. The outcomes of the present paper are useful for the design and optimization of the MCFC hybrid system and improving the thermal performance.

ACS Style

Armin Abdollahipour; Hoseyn Sayyaadi. Thermal energy recovery of molten carbonate fuel cells by thermally regenerative electrochemical cycles. Energy 2021, 227, 120489 .

AMA Style

Armin Abdollahipour, Hoseyn Sayyaadi. Thermal energy recovery of molten carbonate fuel cells by thermally regenerative electrochemical cycles. Energy. 2021; 227 ():120489.

Chicago/Turabian Style

Armin Abdollahipour; Hoseyn Sayyaadi. 2021. "Thermal energy recovery of molten carbonate fuel cells by thermally regenerative electrochemical cycles." Energy 227, no. : 120489.

Journal article
Published: 07 March 2021 in Journal of the Taiwan Institute of Chemical Engineers
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The foremost alternative for running a PV unit is chosen among five items using analytical hierarchy process (AHP) decision-making approach. Two items are individual PV usage and pure water based PV/T system, and three other ones are, Al2O3, TiO2, and ZnO nanofluid based PV/T technologies. The experimental data gathered throughout a year for a 250 W multicrystalline module is utilized to obtain the results. Energy yield, electrical and thermal efficiencies, payback period, and CO2 reduction are the decision-making criteria, while reliability is added to them to have a broader insight from the performance. According to the results, with the gained score of 33.1 out of 100, ZnO nanofluid based PV/T system is the best alternative. It has annual energy production and average electrical and thermal efficiencies of 632.5 kWh, 14.65, and 47.63%, respectively. Moreover, it can reduce CO2 emission by 853.8 kg and enjoy the reliability of 0.986388, which is the highest one among the alternatives. Additionally, this alternative offers a payback period of 5.12 years, which is around 10% lower than the main rival, i.e., TiO2 nanofluid based PV/T system. Utilizing pure water PV/T is also found much better than Al2O3 one because of economic issues.

ACS Style

Ali Sohani; Mohammad Hassan Shahverdian; Hoseyn Sayyaadi; Saman Samiezadeh; Mohammad Hossein Doranehgard; Sandro Nizetic; Nader Karimi. Selecting the best nanofluid type for A photovoltaic thermal (PV/T) system based on reliability, efficiency, energy, economic, and environmental criteria. Journal of the Taiwan Institute of Chemical Engineers 2021, 124, 351 -358.

AMA Style

Ali Sohani, Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Saman Samiezadeh, Mohammad Hossein Doranehgard, Sandro Nizetic, Nader Karimi. Selecting the best nanofluid type for A photovoltaic thermal (PV/T) system based on reliability, efficiency, energy, economic, and environmental criteria. Journal of the Taiwan Institute of Chemical Engineers. 2021; 124 ():351-358.

Chicago/Turabian Style

Ali Sohani; Mohammad Hassan Shahverdian; Hoseyn Sayyaadi; Saman Samiezadeh; Mohammad Hossein Doranehgard; Sandro Nizetic; Nader Karimi. 2021. "Selecting the best nanofluid type for A photovoltaic thermal (PV/T) system based on reliability, efficiency, energy, economic, and environmental criteria." Journal of the Taiwan Institute of Chemical Engineers 124, no. : 351-358.

Journal article
Published: 04 March 2021 in Sustainable Energy Technologies and Assessments
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Dynamic multi-objective optimization (DMOO) is implemented on a water-based cooling system to enhance the performance of a 50 W polycrystalline-based solar photovoltaic (PV) module. The DMOO is conducted under the climatic conditions of Tehran, Iran, with the aim of maximizing the power output while minimizing the amount of cooling water consumed. The results of the DMOO are compared against those of a no-cooling condition (NCC) and a constant water flow (CWF) condition of 0.1 LPM. Compared with CWF, DMOO is found to produce a 64.73% increase in the annual energy production and a 41.98% decrease in water usage over an entire year. Furthermore, compared to NCC, DMOO is able to reduce the average and maximum temperatures of the PV module by 54.07% and 61.02%, respectively in a year; these figures are 16.63% and 17.37% better than those of CWF. Moreover, on an annual basis, DMOO is found to reduce the difference between the average and maximum PV temperatures by 79.79% and 54.53% relative to NCC and CWF, respectively. This study shows that the performance of a PV module can be improved significantly by applying DMOO to its water-based cooling system.

ACS Style

Mohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi; Saman Samiezadeh; Mohammad Hossein Doranehgard; Nader Karimi; Larry K.B. Li. A dynamic multi-objective optimization procedure for water cooling of a photovoltaic module. Sustainable Energy Technologies and Assessments 2021, 45, 101111 .

AMA Style

Mohammad Hassan Shahverdian, Ali Sohani, Hoseyn Sayyaadi, Saman Samiezadeh, Mohammad Hossein Doranehgard, Nader Karimi, Larry K.B. Li. A dynamic multi-objective optimization procedure for water cooling of a photovoltaic module. Sustainable Energy Technologies and Assessments. 2021; 45 ():101111.

Chicago/Turabian Style

Mohammad Hassan Shahverdian; Ali Sohani; Hoseyn Sayyaadi; Saman Samiezadeh; Mohammad Hossein Doranehgard; Nader Karimi; Larry K.B. Li. 2021. "A dynamic multi-objective optimization procedure for water cooling of a photovoltaic module." Sustainable Energy Technologies and Assessments 45, no. : 101111.

Journal article
Published: 27 February 2021 in Thermal Science and Engineering Progress
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The problem of flowing a Maxwell upper-convected fluid on a horizontal surface is considered here in two conditions. One is the condition in which the plate is made of a porous material, and another one when it is not. For each case, the analytical solution is found using a technique called homotopy perturbation method (HPM). The codes developed in Maple software program are employed for this purpose, and the profiles for velocity and temperature are obtained. The provided analytical solution for each condition is validated using the numerical simulation of the boundary value problem (BVP), and then, a comprehensive sensitivity analysis is carried out. According to the results, for each case, an excellent agreement between the numerical simulation and analytical solution is seen. Moreover, it is found that the skin friction coefficient has a downward trend for both conditions when Deborah goes up. Furthermore, increasing the porosity coefficient is accompanied by decrease in both drag force and hydraulic boundary layer. In addition, for the investigated conditions, having a higher porosity factor leads to an enhancement in the heat transfer, whereas a decrease in Deborah has the same effect.

ACS Style

Siamak Hoseinzadeh; Ali Sohani; Mohammad Hassan Shahverdian; Amin Shirkhani; Stephan Heyns. Acquiring an analytical solution and performing a comparative sensitivity analysis for flowing Maxwell upper-convected fluid on a horizontal surface. Thermal Science and Engineering Progress 2021, 23, 100901 .

AMA Style

Siamak Hoseinzadeh, Ali Sohani, Mohammad Hassan Shahverdian, Amin Shirkhani, Stephan Heyns. Acquiring an analytical solution and performing a comparative sensitivity analysis for flowing Maxwell upper-convected fluid on a horizontal surface. Thermal Science and Engineering Progress. 2021; 23 ():100901.

Chicago/Turabian Style

Siamak Hoseinzadeh; Ali Sohani; Mohammad Hassan Shahverdian; Amin Shirkhani; Stephan Heyns. 2021. "Acquiring an analytical solution and performing a comparative sensitivity analysis for flowing Maxwell upper-convected fluid on a horizontal surface." Thermal Science and Engineering Progress 23, no. : 100901.

Journal article
Published: 15 February 2021 in Journal of Cleaner Production
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The effect of taking the water-energy foot-print (nexus) into account to achieve a better optimum design for a combined cooling, heating, and power (tri-generation) system is investigated here. A residential building is chosen as the case study, and multi-objective optimization is done in two conditions for different operational strategies. A condition is the 3-objective scenario in which the energy, economic, and environmental indicators are the objective functions, while in another one, which is called the 4-objective scenario, the water foot-print is also added as an objective function. According to the results, adding the water foot-print objective function leads to change in the foremost operational strategy. The best strategy in the 3-objective optimization is the following hybrid load (FHL), whereas following monthly load (FML) is found as the foremost one of the 4-objective optimization. Moreover, when the water foot-print is considered as an objective function, all the key performance criteria of the system are improved more significantly. By applying the best strategy of the 4-objective instead of the 3-objective scenario, the energy, economic, environmental, and water consumption objective functions have 12.08, 30.25, 2.03, and 25.63% higher values, respectively (goal of the optimization is maximizing all the objective functions at the same time). Additionally, the detailed investigation for the best operational strategy of the 4-objective scenario reveals that with the contribution of 54% to the total value, the prime mover has the highest share in water consumption.

ACS Style

Mina Safari; Ali Sohani; Hoseyn Sayyaadi. A higher performance optimum design for a tri-generation system by taking the advantage of water-energy nexus. Journal of Cleaner Production 2021, 284, 124704 .

AMA Style

Mina Safari, Ali Sohani, Hoseyn Sayyaadi. A higher performance optimum design for a tri-generation system by taking the advantage of water-energy nexus. Journal of Cleaner Production. 2021; 284 ():124704.

Chicago/Turabian Style

Mina Safari; Ali Sohani; Hoseyn Sayyaadi. 2021. "A higher performance optimum design for a tri-generation system by taking the advantage of water-energy nexus." Journal of Cleaner Production 284, no. : 124704.

Research article
Published: 08 February 2021 in International Journal of Energy Research
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Warm‐up period is considered as the most critical phase in the operation of any device that converts the energy of a fuel into heat, electricity, and other products, including power generation units since the system efficiency and environmental pollution levels are much worse than the normal operation in that phase. Considering this point, in this study, applying the zero‐flow coolant strategy to reduce the warm‐up period is suggested for power generation units and it is investigated in details. An internal combustion engine is selected as the case‐study and implementation of the method to enhance the performance of that from both energy and environmental aspects are studied comprehensively. As the results show, for the investigated engine, which has a capacity of 1.8 L, implementation of the method leads to 17% decrease in the warm‐up period. It is accompanied by 9.32% and 2.23% improvement in the amount of unburned hydrocarbon emission and fuel consumption. Moreover, based on the conducted discussion, despite other available methods to enhance systems that consume fuel, the method is so practical that it could be employed simply in an energy system without imposing a huge cost, which is taken into account as a significant advantage.

ACS Style

Saman Samiezadeh; Ali Qasemian; Ali Sohani; Abolfazl Rezaei; Roozbeh Khodaverdian; Reza Soltani; Larry K. B. Li; Mohammad Hossein Doranehgard. Energy and environmental enhancement of power generation units by means of zero‐flow coolant strategy. International Journal of Energy Research 2021, 45, 10064 -10085.

AMA Style

Saman Samiezadeh, Ali Qasemian, Ali Sohani, Abolfazl Rezaei, Roozbeh Khodaverdian, Reza Soltani, Larry K. B. Li, Mohammad Hossein Doranehgard. Energy and environmental enhancement of power generation units by means of zero‐flow coolant strategy. International Journal of Energy Research. 2021; 45 (7):10064-10085.

Chicago/Turabian Style

Saman Samiezadeh; Ali Qasemian; Ali Sohani; Abolfazl Rezaei; Roozbeh Khodaverdian; Reza Soltani; Larry K. B. Li; Mohammad Hossein Doranehgard. 2021. "Energy and environmental enhancement of power generation units by means of zero‐flow coolant strategy." International Journal of Energy Research 45, no. 7: 10064-10085.

Research article
Published: 05 February 2021 in Mathematical Methods in the Applied Sciences
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This research work is going to apply the homotopy perturbation method to solve the problem of flowing Newtonian fluid on a flat plate. For this purpose, initially, the problem, including the governing equations and boundary conditions, is defined, and after that, the considered assumptions to solve the defined problem are introduced. Next, the working principle of the homotopy perturbation method is described, and then, the way to obtain the analytical solution using the homotopy perturbation method is presented, and finally, the accuracy of the proposed analytical solution in comparison to the numerical approach is compared for validation. Both momentum and energy equations are solved. The maple software program is utilized for carrying out the mathematical calculations, while the validation is done using the profiles for stream function, velocity distribution, stress, and dimensionless temperature as the key indicators related to the solution. The conducted comparison shows that the analytical solution provided by the homotopy perturbation method is able to predict all the important performance criteria for the problem very well, and therefore, the homotopy perturbation method has a strong potential to be employed for providing the analytical solution for such problems.

ACS Style

Tareq Ghanbari Ashrafi; Siamak Hoseinzadeh; Ali Sohani; Mohammad Hassan Shahverdian. Applying homotopy perturbation method to provide an analytical solution for Newtonian fluid flow on a porous flat plate. Mathematical Methods in the Applied Sciences 2021, 44, 7017 -7030.

AMA Style

Tareq Ghanbari Ashrafi, Siamak Hoseinzadeh, Ali Sohani, Mohammad Hassan Shahverdian. Applying homotopy perturbation method to provide an analytical solution for Newtonian fluid flow on a porous flat plate. Mathematical Methods in the Applied Sciences. 2021; 44 (8):7017-7030.

Chicago/Turabian Style

Tareq Ghanbari Ashrafi; Siamak Hoseinzadeh; Ali Sohani; Mohammad Hassan Shahverdian. 2021. "Applying homotopy perturbation method to provide an analytical solution for Newtonian fluid flow on a porous flat plate." Mathematical Methods in the Applied Sciences 44, no. 8: 7017-7030.

Review
Published: 27 January 2021 in Energies
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Owing to the current challenges in energy and environmental crises, improving buildings, as one of the biggest concerns and contributors to these issues, is increasingly receiving attention from the world. Due to a variety of choices and situations for improving buildings, it is important to review the building performance optimization studies to find the proper solution. In this paper, these studies are reviewed by analyzing all the different key parameters involved in the optimization process, including the considered decision variables, objective functions, constraints, and case studies, along with the software programs and optimization algorithms employed. As the core literature, 44 investigations recently published are considered and compared. The current investigation provides sufficient information for all the experts in the building sector, such as architects and mechanical engineers. It is noticed that EnergyPlus and MATLAB have been employed more than other software for building simulation and optimization, respectively. In addition, among the nine different aspects that have been optimized in the literature, energy consumption, thermal comfort, and economic benefits are the first, second, and third most optimized, having shares of 38.6%, 22.7%, and 17%, respectively.

ACS Style

Seyedeh Farzaneh Mousavi Motlagh; Ali Sohani; Mohammad Djavad Saghafi; Hoseyn Sayyaadi; Benedetto Nastasi. The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings. Energies 2021, 14, 636 .

AMA Style

Seyedeh Farzaneh Mousavi Motlagh, Ali Sohani, Mohammad Djavad Saghafi, Hoseyn Sayyaadi, Benedetto Nastasi. The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings. Energies. 2021; 14 (3):636.

Chicago/Turabian Style

Seyedeh Farzaneh Mousavi Motlagh; Ali Sohani; Mohammad Djavad Saghafi; Hoseyn Sayyaadi; Benedetto Nastasi. 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings." Energies 14, no. 3: 636.

Review
Published: 13 January 2021 in Applied Thermal Engineering
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Nowadays, waste heat recovery and refrigeration are leading energy challenges. For the generation of additional power and refrigeration purposes, many systems were used. Among these systems, a modern electrochemical cycle based on the temperature dependence of the electrodes called thermally regenerative electrochemical cycle (TREC) was considered widely for converting heat to electricity and refrigeration. These systems have a high-temperature coefficient, which is an advantage over thermoelectric systems, high efficiency, low weight and volume, silent operation, sustainably generating power, no moving parts such as compressors, non-use of vulnerable refrigerants for environmental and clean technology, and ability to couple to various energy technologies to increase the energy efficiency of these systems. Also, an enormous amount of low-grade heat exists around us in energy technologies, such as photovoltaic technology, solar/geothermal heat, the waste heat of fuel cells, industry section and conversion and recovery of this low-grade heat is crucial. Therefore, reviewing the current state-of-the-art research and the progress on the thermally regenerative electrochemical systems for power generation and refrigeration focusing on the new material and design mechanism is essential. First, the principle of power generation cycle, TREC, and the refrigeration cycle, thermally regenerative electrochemical refrigeration (TRER), were utterly discussed for a better understanding of the cycles. Furthermore, the continuous system for these cycles was introduced for continuous power generation and refrigeration. Forasmuch as theoretical studies form the basis of experimental works, the power generation and refrigeration applications of these cycles were divided into theoretical and experimental studies. A literature review revealed that theoretical studies on both the TREC and TRER cycles are comprehensive, paving the way for experimental studies. In experimental studies, useful studies have been performed on power generation by this cycle and its continuous form system. However, despite the high potential of refrigeration cycle, very few studies have been done in this regard. Finally, some recommendations for future studies were made.

ACS Style

Armin Abdollahipour; Hoseyn Sayyaadi. A review of thermally regenerative electrochemical systems for power generation and refrigeration applications. Applied Thermal Engineering 2021, 187, 116576 .

AMA Style

Armin Abdollahipour, Hoseyn Sayyaadi. A review of thermally regenerative electrochemical systems for power generation and refrigeration applications. Applied Thermal Engineering. 2021; 187 ():116576.

Chicago/Turabian Style

Armin Abdollahipour; Hoseyn Sayyaadi. 2021. "A review of thermally regenerative electrochemical systems for power generation and refrigeration applications." Applied Thermal Engineering 187, no. : 116576.

Journal article
Published: 19 December 2020 in Ocean Engineering
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The goal of this investigation is to study the effect of air injection on the wake development. As a widely commercial product, airfoil CFJ0025-131-196, is selected, and the profiles for velocity deficit, wake profiles for different attack angles, and profiles for change in the place where the velocity starts to increase are found. For the air jet velocity, the values of 0.0, 20.4, and 33.3 m s−1 are examined while angles of attack are adjusted to 0, 6, and 14°. The main flow speed is 10 m s−1. It is found that when the dimensionless distance from the trailing edge goes up, the velocity deficit has a downward trend. Furthermore, the higher jet velocity is, the smoother the velocity deficit profile becomes. In addition, in a constant dimensionless distance, increasing the angle of attack results in growing the amplitude of the dimensionless velocity profile. The results also reveal that the location at which the velocity starts to increase moves down by the increase in the air jet velocity. Having a broad knowledge about the wake development of an airfoil will help to know its performance better and find more suitable ways to enhance its performance.

ACS Style

Siamak Hoseinzadeh; Ali Sohani; Stephan Heyns. Comprehensive analysis of the effect of air injection on the wake development of an airfoil. Ocean Engineering 2020, 220, 108455 .

AMA Style

Siamak Hoseinzadeh, Ali Sohani, Stephan Heyns. Comprehensive analysis of the effect of air injection on the wake development of an airfoil. Ocean Engineering. 2020; 220 ():108455.

Chicago/Turabian Style

Siamak Hoseinzadeh; Ali Sohani; Stephan Heyns. 2020. "Comprehensive analysis of the effect of air injection on the wake development of an airfoil." Ocean Engineering 220, no. : 108455.