- Hoseyn Sayyaadi received his BSc in Mechanical Engineering (Thermofluids) in 1994 from Sharif University of Technolog... moreHoseyn Sayyaadi received his BSc in Mechanical Engineering (Thermofluids) in 1994 from Sharif University of Technology (Tehran-Iran), MSc in Mechanical Engineering-Energy Conversion in 1997from Iran University of Technology (Tehran-Iran) and PhD in Mechanical Engineering in 2003 from the University of Tokyo (Tokyo-Japan). He has been Faculty of Mechanical Engineering Department – Energy Division in K.N. Toosi University of Technology since 2005. His current position is Associate Professor of Mechanical Engineering and the head of the Energy Optimization Research Laboratory. His main research field is modeling and optimization of energy systems.edit
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Research Interests: Environmental Engineering, Materials Science, Photovoltaics, Cleaner Production, Silicon, and 11 moreComparative Study, Crystalline silicon solar cells, Manufacturing Engineering, Relative Humidity, Irradiance, Humidity, Interdisciplinary Engineering, Monocrystalline silicon, Polycrystalline Silicon, Solar Power Generation, and Artificial Neural Network
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... Kambiz Ansari a , Hoseyn Sayyaadi Corresponding Author Contact Information , a , E-mail The Corresponding Author and Majid Amidpour a. ... the reactor ($/kJ) CRF Capital recovery factor c W Unit cost of the generated electricity... more
... Kambiz Ansari a , Hoseyn Sayyaadi Corresponding Author Contact Information , a , E-mail The Corresponding Author and Majid Amidpour a. ... the reactor ($/kJ) CRF Capital recovery factor c W Unit cost of the generated electricity ($/kW) D i Distillate from effect i+1 Dr n Entrained ...
Research Interests: Engineering, Mechanical Engineering, Energy, Modeling, Genetic Algorithm, and 12 morePower Plant, Process Engineering, Optimization, Desalination, Exergy, Exergy Analysis, Distillation, Cost Analysis, Interdisciplinary Engineering, Exergy Efficiency, Pressurized Water Reactor, and multi-effect distillation
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Abstract 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... more
Abstract 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.
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Using the combined cooling, heating and power generation (CCHP) systems is one of the most efficient ways to improve the performance of the systems which operate by combustion of fossil fuels. One of the first and important steps in... more
Using the combined cooling, heating and power generation (CCHP) systems is one of the most efficient ways to improve the performance of the systems which operate by combustion of fossil fuels. One of the first and important steps in implementation of CCHP system is the sizing of its prime mover. It is usually done based on the maximum power demand. Considering life cycle costs (LCC), annual carbon dioxide emission (ACDE) and annual average of efficiency (AAE) as the objective functions, a novel strategy for sizing the prime mover of a CCHP system was introduced for a residential complex including 72 same buildings each consisting of 7 same units. Pareto optimal frontier (POF) and final optimum solution were found by Non-dominated sorting genetic algorithm II (NSGA-II) method and TOPSIS. The results showed that the best strategy for sizing the prime mover was based on 86.6% of maximum required electrical power, which in this case, the ACDE and AAE improved up to 14.3 and 0.37%, respe...
Abstract 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... more
Abstract 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.
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Abstract 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... more
Abstract 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.
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Abstract 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... more
Abstract 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.
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Abstract 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... more
Abstract 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. 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 variation of each demand 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, for the reference load ratio, the initial purchase price and operating cost are 33.8% and 12.2% lower, leading to a PBP of 1.687 years. According to the sensitivity analyses, it is also found that the highest level of variation in the optimum fractions comes from changes in the cooling load.
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For complex energy systems, due to non-linear and usually non-explicit variable relationships on the one hand and incomplete mathematical model on the other, the term optimisation implies improvement rather than calculation of an overall... more
For complex energy systems, due to non-linear and usually non-explicit variable relationships on the one hand and incomplete mathematical model on the other, the term optimisation implies improvement rather than calculation of an overall optimum point. Therefore, the improvement procedure is performed based on the experiences of experts that can be translated into a class of soft computing technique so-called the fuzzy inference system (FIS). In this paper, a cogeneration power plant which generated the net electric power of 30.0 MW and could provide 14.0 kg s-1 of saturated steam at 2 MPa, namely as CGAM problem, was considered as a benchmark for exergoeconomic improvement using the FIS. The FIS system was designed to improve the overall system based on the improvement of each system component of the CGAM system. It was shown that the FIS could achieve a value for exergoeconomic objective function which was very close to the mathematical optimal solution.
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... exergy rate ( $ / kJ ) CC carrying charge Ċ P,tot the cost rate of the dual system product (electricity and distilled water) , $ / s c Q cost of the nuclear fuel per thermal exergy of the reactor, $ / kJ CRF capital recovery factor D... more
... exergy rate ( $ / kJ ) CC carrying charge Ċ P,tot the cost rate of the dual system product (electricity and distilled water) , $ / s c Q cost of the nuclear fuel per thermal exergy of the reactor, $ / kJ CRF capital recovery factor D i distillate flow rate of the effect i th , kg / s Dr n entrained ...
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... Kambiz Ansari a , Hoseyn Sayyaadi Corresponding Author Contact Information , a , E-mail The Corresponding Author and Majid Amidpour a. ... the reactor ($/kJ) CRF Capital recovery factor c W Unit cost of the generated electricity... more
... Kambiz Ansari a , Hoseyn Sayyaadi Corresponding Author Contact Information , a , E-mail The Corresponding Author and Majid Amidpour a. ... the reactor ($/kJ) CRF Capital recovery factor c W Unit cost of the generated electricity ($/kW) D i Distillate from effect i+1 Dr n Entrained ...
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ABSTRACT The main aim of this research is to demonstrate effectiveness of soft computing techniques in thermo-hydraulic behavior modeling of passive heat transfer enhancement (HTE) techniques. An artificial neural network (ANN) and... more
ABSTRACT The main aim of this research is to demonstrate effectiveness of soft computing techniques in thermo-hydraulic behavior modeling of passive heat transfer enhancement (HTE) techniques. An artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS), two effective modeling methods, have been used to model Nusselt numbers and friction factors of wire coil and twisted tape inserts in various flow regimes. The experimental data sets were utilized for training and validation of these models, and their results were compared with the corresponding correlations. The mean relative error (MRE) between the predicted results and experimental data of ANN and ANFIS models were found to be less than 3% and 1.5% for thermo-hydraulic behavior modeling of wire coil and twisted tape inserts, respectively. Depending on model complexity, performance of both ANN and ANFIS models was found to be superior to that of the corresponding power-law regressions. Hence, application of the soft computing approach to predict the performance of thermal systems in engineering applications is recommended.
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Multi-Objective Optimization of a benchmark cogeneration problem known as CGAM cogeneration system has been carried out from Exergetic, Economic and Environmental aspects simultaneously. CGAM Problem designs a cogeneration plant which... more
Multi-Objective Optimization of a benchmark cogeneration problem known as CGAM cogeneration system has been carried out from Exergetic, Economic and Environmental aspects simultaneously. CGAM Problem designs a cogeneration plant which delivers 30 MW of ...
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Thermodynamic modeling of internal combustion engine based on the concept of finite speed thermodynamics (FST) was presented. In developing FST model, effect of piston motion in reduction of the expansion work as well as increasing in... more
Thermodynamic modeling of internal combustion engine based on the concept of finite speed thermodynamics (FST) was presented. In developing FST model, effect of piston motion in reduction of the expansion work as well as increasing in compression work was taken into account. Moreover, irreversibilities due to the mechanical friction as well as throttling pressure losses of intake/exhaust processes were implemented in the model. Developed FST model was employed to simulate thermal performance of two case study internal combustion engines (including EF7 engine). Using actual test data of these two engines, it was verified that FST model simulates thermal performance of engines with satisfactory a high precision. Furthermore, through a comparison of results with corresponding results obtained in similar thermodynamic approaches (finite time thermodynamics called as FTT), it was shown that FST model has significant superiority over the FTT in predicting the actual performance of a real ...
تاعلاطا هلاقم هدیکچ لماک یشهوژپ هلاقم :تفایرد 04 تشهبیدرا 1396 :شریذپ 11 دادرخ 1396 :تیاس رد هئارا 22 ریت 1693 لدم هب رضاح هلاقم رد هطقن متسیس یددع یزاس هب یمنبش متسیس یارب نیزگیاج کی ناونع هتخادرپ دوجوم یشیامرس یاه فلاخرب .تسا هدش لدم هک... more
تاعلاطا هلاقم هدیکچ لماک یشهوژپ هلاقم :تفایرد 04 تشهبیدرا 1396 :شریذپ 11 دادرخ 1396 :تیاس رد هئارا 22 ریت 1693 لدم هب رضاح هلاقم رد هطقن متسیس یددع یزاس هب یمنبش متسیس یارب نیزگیاج کی ناونع هتخادرپ دوجوم یشیامرس یاه فلاخرب .تسا هدش لدم هک نیشیپ لوادتم یاه هتفای هعسوت هدننکادج هراوید یور رب تباث راش ای و تباث امد ضرف اب هبساحم یعقاو یزرم طرش رضاح لدم رد دنا یم یم هراوید یور رب تبوطر تبسن و امد یقیقح عیزوت نتفای هب رجنم یعقاو یزرم طرش هبساحم .دوش هب ددرگ یروط هراوید یور هطقن ره رد هک نایرج یترارح راش عومجم ه مه لح اب یعقاو یزرم طرش .دشاب ریخبت ناهن یامرگ اب ربارب لاناک ود یا لاقتنا و یژرنا ،موتنموم تلاداعم نامز هب مرج یم لصاح هدننکادج هراوید یور رب هدش لپوک تروص هس لدم هعسوت اب نینچمه .دوش لدم تقد ،یدورو هیحان رثا نتفرگ رظن رد و یدعب عسوت لدم .تسا هتفای شیازفا ه یم نیمخت متسیس لک رد ار تبوطر تبسن و امد عیزوت هتفایءاقترا یزرم طرش زا هدافتسا اب هتفای نیمخت .دنز هب تسد هداد اب فلتخم یطیحم طیارش رد متسیس هضرع یامد زا هدمآ یم ناشن جیاتن و هدش هسیاقم یهاگشیامزآ یاه دوجوم یاطخ هنیشیب دهد
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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... more
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, improvemen...
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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... more
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 ...