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Prof. Dr. Hoseyn Sayyaadi
Faculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran

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0 Desalination
0 Energy
0 Hydrogen Production
0 Multi-objective Optimization
0 exergy

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Energy
Multi-objective Optimization
economic
Decision making
exergy
Stirling engine
Desalination
Hydrogen Production

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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: 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: 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: 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.

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.

Research article
Published: 03 September 2020 in Energy Conversion and Management
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The best function form to predict the panel’s temperature (Tpanel) is found for a product family of polycrystalline solar panels, with the nominal capacities of 20, 30, 40, 50, 60, 80, 120, 150, 200, 250, 300, and 320 W. For this purpose, genetic programming is used. Experimental data recorded throughout a year is employed while in addition to solar radiation, ambient temperature, and wind velocity, ambient relative humidity is also considered as one effective parameter. First, the best function form is obtained and verified for the 40 W panel, and then, the generalization capability of that is checked for other panels. Moreover, the prediction ability of the best found function form in comparison to the nominal operating cell temperature (NOCT) and nominal module operating temperature (NMOT) approaches, as the most common ways to obtain Tpanel, is evaluated using the monthly and annual profiles of errors. The profiles of error in prediction of Tpanel, efficiency, produced power, and generated energy for the presented, NOCT, and NMOT models are compared together, which shows the vast superiority of the best found function to NOCT and NMOT methods. As an example, for the 50 W panel, the best found function form is able to predict Tpanel, efficiency, produced power, and generated energy 2.15, 3.36, 3.03, and 3.39 times more accurate than NMOT method in a year. It also has 2.82, 4.18, 4.04, and 4.01 times better prediction than the NOCT model during the same period for prediction of the aforementioned performance criteria of the 50 W panel, respectively.

ACS Style

Ali Sohani; Hoseyn Sayyaadi. Employing genetic programming to find the best correlation to predict temperature of solar photovoltaic panels. Energy Conversion and Management 2020, 224, 113291 .

AMA Style

Ali Sohani, Hoseyn Sayyaadi. Employing genetic programming to find the best correlation to predict temperature of solar photovoltaic panels. Energy Conversion and Management. 2020; 224 ():113291.

Chicago/Turabian Style

Ali Sohani; Hoseyn Sayyaadi. 2020. "Employing genetic programming to find the best correlation to predict temperature of solar photovoltaic panels." Energy Conversion and Management 224, no. : 113291.

Journal article
Published: 08 August 2020 in Journal of Cleaner Production
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The prime mover size for a Combined Cooling Heating and Power (CCHP) system is determined through the adoption of different strategies in load following, which are based on a fraction of demands. Multi-objective optimization is employed for finding the optimal design in each case by considering annual average efficiency (AEF), payback period (PBP), and annual carbon dioxide emission (ACE) as the objectives. Then, a comprehensive comparative study is conducted to compare the objective functions and monthly values of different performance criteria with each other. Moreover, comparisons are made among results of optimization for different scenarios, and the ones obtained from the base case condition (building without a CCHP system), as well as following electrical and thermal demands conditions. Along with these comparisons, the sensitivity analyses are done to determine the impact of each demand variation on the optimum results individually. The results indicate that following an optimum fraction of electrical demand is the best strategy for all the investigated load ratios. In the reference load ratio, it has 14.3% and 4.6% better AEF and ACE than the base case. Moreover, the initial purchase price and operating costs are 33.8% and 12.2% lower, leading to a PBP of 1.687 years. According to sensitivity analyses, it is also found that the highest level of variation in the optimum fractions comes from changes in the cooling load.

ACS Style

Ali Sohani; Sahar Rezapour; Hoseyn Sayyaadi. Comprehensive performance evaluation and demands’ sensitivity analysis of different optimum sizing strategies for a combined cooling, heating, and power system. Journal of Cleaner Production 2020, 279, 123225 .

AMA Style

Ali Sohani, Sahar Rezapour, Hoseyn Sayyaadi. Comprehensive performance evaluation and demands’ sensitivity analysis of different optimum sizing strategies for a combined cooling, heating, and power system. Journal of Cleaner Production. 2020; 279 ():123225.

Chicago/Turabian Style

Ali Sohani; Sahar Rezapour; Hoseyn Sayyaadi. 2020. "Comprehensive performance evaluation and demands’ sensitivity analysis of different optimum sizing strategies for a combined cooling, heating, and power system." Journal of Cleaner Production 279, no. : 123225.

Research article
Published: 19 July 2020 in Journal of Cleaner Production
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The impacts of the ambient absolute and relative humidity on the performance of a photovoltaic (PV) solar module are investigated in details here. Using the experimental data recorded during a year as inputs, an artificial neural network is employed to develop models to predict voltage and current based on the effective parameters, including ambient temperature and relative humidity as well as the wind velocity and irradiance, and having developed and validated the models, a comprehensive parametric study is conducted. The parametric study is performed to find the impacts of absolute and relative humidity on the voltage, current, power, and efficiency, as the main characteristics of a solar module. A mono and a poly crystalline solar modules with the same capacity and almost the same dimensions are considered and compared together. The results show that all the characteristics have a downward trend when absolute and relative humidity increase. Moreover, both the behavior and changes for the absolute humidity are found the same as the relative humidity. In addition, the lowest level of dependency is observed for the voltage of monocrystalline module. It has 12.2% decrease in the relative humidity range of 10-50%. By contrast, both generated power and efficiency of polycrystalline module change 46.3% in the same range and have the highest sensitivity level. Moreover, in general, poly cystalline type is found more sensetive to the relative humidity than the mono type.

ACS Style

Ali Sohani; Mohammad Hassan Shahverdian; Hoseyn Sayyaadi; Davide Astiaso Garcia. Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network. Journal of Cleaner Production 2020, 276, 123016 .

AMA Style

Ali Sohani, Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Davide Astiaso Garcia. Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network. Journal of Cleaner Production. 2020; 276 ():123016.

Chicago/Turabian Style

Ali Sohani; Mohammad Hassan Shahverdian; Hoseyn Sayyaadi; Davide Astiaso Garcia. 2020. "Impact of absolute and relative humidity on the performance of mono and poly crystalline silicon photovoltaics; applying artificial neural network." Journal of Cleaner Production 276, no. : 123016.

Journal article
Published: 22 April 2020 in Renewable Energy
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A widely-used correlation to obtain efficiency is considered, and the hypothesis of dividing a photovoltaic module into a number of sub-regions and calculating efficiency of each region employing the temperature of that part to determine the efficiency of the module more precisely is proposed and examined. Experimental data recorded during a year are employed to check the accuracy of the proposed hypothesis and the original method (suggestion of the 61215 standard, where one temperature is considered for the whole module). Comparison of the both hourly and monthly profiles of performance criteria shows that the proposed hypothesis is much more accurate than the original method. It is found that in July, as the sample month for which the hourly profiles are investigated, the average values of the error in prediction of efficiency, produced power, and generated energy are 5.70, 7.72, and 6.07% for the original approach whereas using the proposed hypothesis reduces them to only 1.45, 1.75, and 1.35%, respectively. Moreover, the values of annual average of error in prediction of the three aforementioned performance criteria are improved from 4.14, 5.45, and 4.55% in the original method to 1.05, 1.25, and 1.09% for the proposed hypothesis, which is a huge achievement.

ACS Style

Ali Sohani; Hoseyn Sayyaadi. Providing an accurate method for obtaining the efficiency of a photovoltaic solar module. Renewable Energy 2020, 156, 395 -406.

AMA Style

Ali Sohani, Hoseyn Sayyaadi. Providing an accurate method for obtaining the efficiency of a photovoltaic solar module. Renewable Energy. 2020; 156 ():395-406.

Chicago/Turabian Style

Ali Sohani; Hoseyn Sayyaadi. 2020. "Providing an accurate method for obtaining the efficiency of a photovoltaic solar module." Renewable Energy 156, no. : 395-406.

Journal article
Published: 20 March 2020 in Energy Conversion and Management
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Part of the process gas cooling in a sample gas refinery is provided by a two-stage vapor compression refrigeration cycle. This cycle has been designed only based on thermodynamics’ objective function with propane refrigerant. A gas-turbine is used as the compressors’ driver in this sample plant. In the present study, the complete investigation of this compression refrigeration cycle with its gas turbine, as a prime mover, has been redesigned by using the genetic algorithm, and refrigerant analyses. The cycle has been modeled in MATLAB software by considering the economic, thermodynamic, and environmental objective functions. The results show that the basic redesign of the cycle, with propylene as the best refrigerant, can improve the coefficient of performance from 1.42 to 2.01 in comparison to the available cycle. It also can reduce the nitrogen oxide and carbon monoxide emission from 30.74 to 29.7 ppm and 81.0 to 71.6 ppm, respectively, and it can reduce the cost of the product from 1091.5 $ to 781.5 $ per hour. In fact, by replacing propylene refrigerant with propane and multi-objective basic redesign, all three economic, thermodynamic, and environmental functions can be improved in comparison to the available cycle.

ACS Style

Mohammad Tahmasebzadehbaie; Hoseyn Sayyaadi. Optimal design of a two-stage refrigeration cycle for natural gas pre-cooling in a gas refinery considering the best allocation of refrigerant. Energy Conversion and Management 2020, 210, 112743 .

AMA Style

Mohammad Tahmasebzadehbaie, Hoseyn Sayyaadi. Optimal design of a two-stage refrigeration cycle for natural gas pre-cooling in a gas refinery considering the best allocation of refrigerant. Energy Conversion and Management. 2020; 210 ():112743.

Chicago/Turabian Style

Mohammad Tahmasebzadehbaie; Hoseyn Sayyaadi. 2020. "Optimal design of a two-stage refrigeration cycle for natural gas pre-cooling in a gas refinery considering the best allocation of refrigerant." Energy Conversion and Management 210, no. : 112743.

Journal article
Published: 31 January 2020 in Energy Conversion and Management
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The issues like depletion of fossil fuels and environmental concerns encourage policy makers to run different types of power plants, including gas-turbine power plants more efficiently. For this purpose, bottoming cycles can be employed to recover the low-grade thermal energy of the exhaust gases of the gas cycle. Kalina, organic Rankine, Goswami, and trilateral flash cycles were examined to be used as the second bottoming cycle of a gas-turbine power plant to scavenge low-grade thermal energy in the exhaust of an absorption refrigeration cycle as the first bottoming cycle. All alternatives to the secondary bottoming cycle were modeled and optimized by non-dominated sorting genetic algorithm II in MATLAB software considering energy and economic criteria. Then, the best alternative among optimized cycles was introduced. It was found that the best alternative is Goswami cycle, and the less desired one was Kalina cycle. Goswami cycle enabled to generate 4.26 MW of additional power as well as an additional 0.45 MW of an auxiliary cooling that reduces the required capacity of the chiller by 3.2%. The introduced foremost bottoming cycle increased the thermal efficiency of the power plant from 38.1 to 46.5%. The investments required for installation and usage of the best and worst bottoming cycle were determined to be paid back within 3.8 and 20.5 years, respectively. To have economic justification, the sold price of the best bottoming cycle (Goswami cycle) must be greater than 0.09 $.(kWh)−1 on average.

ACS Style

Hoseyn Sayyaadi; Yaghoob Khosravanifard; Ali Sohani. Solutions for thermal energy exploitation from the exhaust of an industrial gas turbine using optimized bottoming cycles. Energy Conversion and Management 2020, 207, 112523 .

AMA Style

Hoseyn Sayyaadi, Yaghoob Khosravanifard, Ali Sohani. Solutions for thermal energy exploitation from the exhaust of an industrial gas turbine using optimized bottoming cycles. Energy Conversion and Management. 2020; 207 ():112523.

Chicago/Turabian Style

Hoseyn Sayyaadi; Yaghoob Khosravanifard; Ali Sohani. 2020. "Solutions for thermal energy exploitation from the exhaust of an industrial gas turbine using optimized bottoming cycles." Energy Conversion and Management 207, no. : 112523.

Journal article
Published: 23 October 2019 in Applied Thermal Engineering
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Impacts of end-users’ behavior and policymakers’ decision on the optimal performance characteristics of a dew point cooler are investigated. Acceptable level of thermal comfort, cooling load, and the economic factors, including water and electricity tariffs, and inflation and discount rates, are considered as the effective parameters. The objective functions of the conducted multi-objective optimization, i.e., life-cycle cost, annual water consumption, and annual average coefficient of performance, in addition to the charge paid for the resource consumption throughout the first year are studied as the performance criteria. A benchmark residential building in Ahmedabad, India, is also selected as the case study. Results show that despite paying coefficient of determination penalty, the value of 15% for the maximum allowable predicted percentage dissatisfied is the best thermal comfort level from both economic and resource consumption perspectives. Moreover, in the investigated range of the inflation rate, the four introduced performance criteria change 5.4%, 51.6%, 45.6%, and 33.4% while the corresponding values for discount rate are 10.1%, 58.1%, 84.5%, and 37.1%, respectively. Therefore, performance of the optimum system is more sensitive to the discount rate.

ACS Style

Ali Sohani; Hoseyn Sayyaadi. End-users’ and policymakers’ impacts on optimal characteristics of a dew-point cooler. Applied Thermal Engineering 2019, 165, 114575 .

AMA Style

Ali Sohani, Hoseyn Sayyaadi. End-users’ and policymakers’ impacts on optimal characteristics of a dew-point cooler. Applied Thermal Engineering. 2019; 165 ():114575.

Chicago/Turabian Style

Ali Sohani; Hoseyn Sayyaadi. 2019. "End-users’ and policymakers’ impacts on optimal characteristics of a dew-point cooler." Applied Thermal Engineering 165, no. : 114575.