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Dr. Mohammad Sameti
Energy Institute, School of Chemical and Bioprocess Engineering, University College Dublin, Dublin, Ireland.

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0 Energy Efficiency
0 Energy Storage
0 Energy Systems
0 Optimization
0 Renewable Energy

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Energy Systems
Energy Storage
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Journal article
Published: 07 May 2021 in Energy and Climate Change
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In this paper, a combined biomass-geothermal system, intended to supply heat in low enthalpy areas with an extremely cold climate, is optimized based on a nonlinear optimization methodology. A Multiple Criteria Decision-Making technique is coupled with a two-step optimization to achieve the most exploitable energy with the least pollution and cost possible. Three nonlinear objective functions for optimization with three criteria for decision-making were used to minimize the heat generation cost and pollution for a modeled building in Kuujjuaq, Canada. The biomass-geothermal system is split into two parts, surface, and subsurface parts. Twelve scenarios, including three wood pellet types, in four distance ranges from pellet mills, are first defined. Then, via modeling a building for heat demand analysis, the required heat is yielded. Afterward, in the first step of optimization, the cost and pollution functions for surface parts are developed and optimized using the genetic algorithm and screened by the MCDM technique, called TOPSIS, to size the biomass and geothermal subsystems. In the second step, using the sizing from the first step as a constraint, the cost of the geothermal ground heat exchanger is minimized. Twelve scenarios are optimally configured in this way with minimum cost and pollution in relation to operational parameters, such as utilization time and rated powers. The research proposes a methodology that sizes the biomass geothermal (bio-geo) system and can be extended to other technologies, such as turbines, energy storages, or fuel. Furthermore. It provides a correlation between cost and heat generation from biomass-geothermal systems for Kuujjuaq, Canada, and twelve optimal scenarios with system operating parameters. A basis for system sizing and system selection for baseload and peak demand shaving is also considered. Geothermal- and biomass-rated capacities vary with scenarios from 44% to 56% of the total rated capacity.

ACS Style

Masoud Rezaei; Mohammad Sameti; Fuzhan Nasiri. An enviro-economic optimization of a hybrid energy system from biomass and geothermal resources for low-enthalpy areas. Energy and Climate Change 2021, 2, 100040 .

AMA Style

Masoud Rezaei, Mohammad Sameti, Fuzhan Nasiri. An enviro-economic optimization of a hybrid energy system from biomass and geothermal resources for low-enthalpy areas. Energy and Climate Change. 2021; 2 ():100040.

Chicago/Turabian Style

Masoud Rezaei; Mohammad Sameti; Fuzhan Nasiri. 2021. "An enviro-economic optimization of a hybrid energy system from biomass and geothermal resources for low-enthalpy areas." Energy and Climate Change 2, no. : 100040.

Journal article
Published: 22 April 2021 in Clean Energy
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This study evaluates the potential of local fish waste oil as a feedstock for biodiesel via supercritical methanol transesterification (SCMT). Hexane was used as a cosolvent and the transesterification reaction was carried out in a continuous reactor under supercritical conditions. The response surface methodology (RSM) method was applied to analyse the effect of four independent variables, including the weight ratio of methanol to fish-waste oil (W), the reaction temperature (T), the pressure (P) and the feed flow rate (F), on the yield of the biodiesel production in supercritical methanol. According to the calculated optimal operating condition for the RSM, the values of W (22.3 weight ratio of methanol to fish waste oil), T (270°C), P (112.7 bar) and F (2.0 mL min–1) were achieved. Under the optimum conditions, the highest yield was estimated to be 94.6% (g/g). The obtained yield was found to be close to the theoretical yield (95.2%). This value suggests that the proposed strategy has a promising potential in the production of biodiesel fuel.

ACS Style

Simin Espootin; Mohammad Sameti; Sahar Zaker. Biodiesel from fish waste oil: synthesis via supercritical methanol and thermodynamic optimization. Clean Energy 2021, 5, 187 -195.

AMA Style

Simin Espootin, Mohammad Sameti, Sahar Zaker. Biodiesel from fish waste oil: synthesis via supercritical methanol and thermodynamic optimization. Clean Energy. 2021; 5 (2):187-195.

Chicago/Turabian Style

Simin Espootin; Mohammad Sameti; Sahar Zaker. 2021. "Biodiesel from fish waste oil: synthesis via supercritical methanol and thermodynamic optimization." Clean Energy 5, no. 2: 187-195.

Journal article
Published: 27 February 2021 in Clean Energy
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Conventional approaches towards energy-system modelling and operation are based upon the system design and performance optimization. In system-design optimization, the thermal or mechanical characteristics of the systems providing for the heat or electricity demands were derived separately without integration with the energy source and without interaction with demand, which results in low-efficiency energy performance. This paper presents a key review on the integration of biomass-powered combined heat and power (BCHP) systems in district-heating systems as well as coupling with thermal-energy storage. In BCHP design, the appropriate sizing of the associated components as part of the district-heating system is very important to provide the optimal dispatch strategy as well as minimized cost and environmental impact while it co-operates with thermal-energy storage. Future strategies for the feasibility, evaluation and integration of biomass-powered energy systems in the context of district systems are also studied.

ACS Style

Masoud Rezaei; Mohammad Sameti; Fuzhan Nasiri. Biomass-fuelled combined heat and power: integration in district heating and thermal-energy storage. Clean Energy 2021, 5, 44 -56.

AMA Style

Masoud Rezaei, Mohammad Sameti, Fuzhan Nasiri. Biomass-fuelled combined heat and power: integration in district heating and thermal-energy storage. Clean Energy. 2021; 5 (1):44-56.

Chicago/Turabian Style

Masoud Rezaei; Mohammad Sameti; Fuzhan Nasiri. 2021. "Biomass-fuelled combined heat and power: integration in district heating and thermal-energy storage." Clean Energy 5, no. 1: 44-56.

Journal article
Published: 13 March 2019 in Solar Energy
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An optimal design and well-scheduled district cooling system is crucial for the success of the implementation of such systems especially when the cooling plant(s) are intended to be connected to a group of newly-built consumers. In order to supply such customers the required cooling load, a huge capital and operation investment in district cooling network is a necessity if the cooling network is separated from the heating production units. One solution scheme is to take advantage of the heating generation units, which are off during summer to drive the cooling equipment. However, among various design parameters, the most important one is the desirable configuration of the district of interest: best selection and combination of the heating and cooling generation equipment. A least-annualized-cost mathematical approach based on the mixed integer linear programming (MILP) is described in this paper to determine the optimal integration as well as the optimal control of the flow and the storage. The test case study showed that the methodology was effective to give a huge savings in both total annual cost and emission for a wide range of designs. More than 67% of CO2 emission reduction is achieved through the hybrid heat and solar-driven arrangement.

ACS Style

Mohammad Sameti; Fariborz Haghighat. Hybrid solar and heat-driven district cooling system: Optimal integration and control strategy. Solar Energy 2019, 183, 260 -275.

AMA Style

Mohammad Sameti, Fariborz Haghighat. Hybrid solar and heat-driven district cooling system: Optimal integration and control strategy. Solar Energy. 2019; 183 ():260-275.

Chicago/Turabian Style

Mohammad Sameti; Fariborz Haghighat. 2019. "Hybrid solar and heat-driven district cooling system: Optimal integration and control strategy." Solar Energy 183, no. : 260-275.

Journal article
Published: 01 January 2019 in Renewable Energy
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This study applies a mathematical programming procedure to model the optimal design and planning of a new district which satisfies two features of the 4th generation district heating systems: energy reciprocity and on-site generation. The aim of the computational model is to investigate the effect of energy reciprocity (energy exchange among the buildings) as well as to find the best way to select the equipment among various candidates (capacities), the pipeline network among the buildings, and their electrical connections. The objective function includes the annualized overall capital and operation costs for the district along with the benefits of selling electricity to the grid. The distributed energy supply consists of heating, cooling, and power networks, several CHP technologies, solar array, chillers, and auxiliary boilers. The performance of the model for poly-generation was evaluated for designing the new part of Suurstoffi district situated in Risch Rotkreuz, Switzerland with seven residential and office complexes under four different scenarios. Allowing heat exchange among the buildings leads to 25% reduction in total annualized cost and 5% reduction in emission compared to the conventional districts. Removing the network and installation of PV and CHPs results in 9% reduction in emission and 11% reduction in cost. Simultaneous heat and electricity exchange results in a higher reduction in total annualized cost equal to 40% of the base scenario.

ACS Style

Mohammad Sameti; Fariborz Haghighat. Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power. Renewable Energy 2019, 130, 371 -387.

AMA Style

Mohammad Sameti, Fariborz Haghighat. Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power. Renewable Energy. 2019; 130 ():371-387.

Chicago/Turabian Style

Mohammad Sameti; Fariborz Haghighat. 2019. "Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power." Renewable Energy 130, no. : 371-387.

Research article
Published: 02 October 2018 in Energy Science & Engineering
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This paper aims to investigate a hybrid cycle consisting of a molten carbonate fuel cell (FC) and a Stirling engine which, by connecting to a seawater reverse osmosis desalination unit, provides fresh water. First, a parametric evaluation is performed to study the effect of some key parameters, including the current density and the working temperature of the FC and the thermal conductance between the working substance and the heat reservoirs in the Stirling engine, on the objective functions. The objective functions include the energy efficiency, the exergy destruction rate density, the fresh water production rate, and the ecological function density. After investigating each double combination of these objective functions, two scenarios are defined in quest to concurrently optimize three functions together. The first scenario aims to optimize the energy efficiency, the exergy destruction rate density, and the fresh water production rate; and the second scenario attempts to optimize the energy efficiency, the fresh water production rate, and the ecological function density. A multi‐objective evolutionary algorithm joined with the nondominated sorting genetic algorithm (NSGA‐II) approach is employed to obtain Pareto fronts in each case scenario. In order to ascertain final solutions between Pareto fronts, three fast and robust decision‐making methods are employed including TOPSIS, LINMAP, and Fuzzy. Finally, a sensitivity analysis is conducted to critically analyze the performance of the system.

ACS Style

Mohammad Hossein Ahmadi; Mohammad Sameti; Seyed M. Pourkiaei; Tingzhen Ming; Fathollah Pourfayaz; Ali J. Chamkha; Hakan F. Oztop; Mohammad Ali Jokar. Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach. Energy Science & Engineering 2018, 6, 783 -796.

AMA Style

Mohammad Hossein Ahmadi, Mohammad Sameti, Seyed M. Pourkiaei, Tingzhen Ming, Fathollah Pourfayaz, Ali J. Chamkha, Hakan F. Oztop, Mohammad Ali Jokar. Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach. Energy Science & Engineering. 2018; 6 (6):783-796.

Chicago/Turabian Style

Mohammad Hossein Ahmadi; Mohammad Sameti; Seyed M. Pourkiaei; Tingzhen Ming; Fathollah Pourfayaz; Ali J. Chamkha; Hakan F. Oztop; Mohammad Ali Jokar. 2018. "Multi‐objective performance optimization of irreversible molten carbonate fuel cell–Stirling heat engine–reverse osmosis and thermodynamic assessment with ecological objective approach." Energy Science & Engineering 6, no. 6: 783-796.

Journal article
Published: 01 August 2018 in Renewable Energy
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In this study, a solar thermal heat transfer network for a parabolic trough collector is introduced, in which a nanofluid is considered as the heat transfer medium. The finite difference scheme (FDM) was adopted as the approach, and a code was created in MATLAB. The model could be used to investigate the thermal performance of a heat collecting element (HCE). In the developed formulation, each section of the solar receiver collecting element was discretized into various segments in both axial and radial directions. Then, energy balance equations were presented for each segment in the control volume. The heat transfer equations, the thermodynamic properties, and the optical formulations were all taken into account in details. The set of algebraic equations were solved numerically by using iterative numerical solutions simultaneously. The radiant loss was increased from 26.5 to 57.3 W/m in the range of 30–100 °C. Also, the convective heat losses show a growth of 220% from 30 °C to 100 °C. On the other hand, the convective heat transfer coefficient is increased by adding multiwall carbon nanotube (MWCNT) nanoparticles to the base fluid (thermal oil). The amelioration is 15% by adding 6% volume fraction of nanoparticles.

ACS Style

Alibakhsh Kasaiean; Mohammad Sameti; Reza Daneshazarian; Zahra Noori; Armen Adamian; Tingzhen Ming. Heat transfer network for a parabolic trough collector as a heat collecting element using nanofluid. Renewable Energy 2018, 123, 439 -449.

AMA Style

Alibakhsh Kasaiean, Mohammad Sameti, Reza Daneshazarian, Zahra Noori, Armen Adamian, Tingzhen Ming. Heat transfer network for a parabolic trough collector as a heat collecting element using nanofluid. Renewable Energy. 2018; 123 ():439-449.

Chicago/Turabian Style

Alibakhsh Kasaiean; Mohammad Sameti; Reza Daneshazarian; Zahra Noori; Armen Adamian; Tingzhen Ming. 2018. "Heat transfer network for a parabolic trough collector as a heat collecting element using nanofluid." Renewable Energy 123, no. : 439-449.

Journal article
Published: 01 June 2018 in Energy
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A net-zero energy district is any neighborhood where the consumption of the buildings is offset by on-building generation on an annual basis. In this study, a net-zero energy district is identified among the set of optimal solutions and the effects of storage on its performance is investigated. It is assumed the model simultaneously optimizes the location of host buildings (energy generators), type of technologies and associated size, and the energy distribution network layout together with the optimal operating strategy. The optimization model addresses all technologies with a special focus on the effect of application of energy storage. Two types of energy storage are considered inside each building: thermal energy storage (hot water tank) and electrical energy storage (battery bank). The model is applied to the new part of a district energy system located in Switzerland. The best integrated district energy systems are presented as a set of Pareto optimal solutions by minimizing both the total annualized cost and equivalent CO2 emission while ensuring the reliable system operation to cover the demand. The results indicated that selection of the proposed optimal district energy system along with the storage brings great economic and environmental benefits in comparison to all other scenarios (conventional energy system, stand-alone system, and net zero-energy without storage).

ACS Style

Mohammad Sameti; Fariborz Haghighat. Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation. Energy 2018, 153, 575 -591.

AMA Style

Mohammad Sameti, Fariborz Haghighat. Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation. Energy. 2018; 153 ():575-591.

Chicago/Turabian Style

Mohammad Sameti; Fariborz Haghighat. 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation." Energy 153, no. : 575-591.

Journal article
Published: 01 December 2017 in Applied Energy
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ACS Style

Mohammad Sameti; Fariborz Haghighat. RETRACTED: A two-level multi-objective optimization for simultaneous design and scheduling of a district energy system. Applied Energy 2017, 208, 1053 -1070.

AMA Style

Mohammad Sameti, Fariborz Haghighat. RETRACTED: A two-level multi-objective optimization for simultaneous design and scheduling of a district energy system. Applied Energy. 2017; 208 ():1053-1070.

Chicago/Turabian Style

Mohammad Sameti; Fariborz Haghighat. 2017. "RETRACTED: A two-level multi-objective optimization for simultaneous design and scheduling of a district energy system." Applied Energy 208, no. : 1053-1070.

Journal article
Published: 01 April 2017 in Energy and Buildings
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ACS Style

Mohammad Sameti; Fariborz Haghighat. Optimization approaches in district heating and cooling thermal network. Energy and Buildings 2017, 140, 121 -130.

AMA Style

Mohammad Sameti, Fariborz Haghighat. Optimization approaches in district heating and cooling thermal network. Energy and Buildings. 2017; 140 ():121-130.

Chicago/Turabian Style

Mohammad Sameti; Fariborz Haghighat. 2017. "Optimization approaches in district heating and cooling thermal network." Energy and Buildings 140, no. : 121-130.

Journal article
Published: 06 March 2017 in Energy Systems
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ACS Style

Mohammad Sameti. A new design of a solar water storage wall: a system-level model and simulation. Energy Systems 2017, 9, 361 -383.

AMA Style

Mohammad Sameti. A new design of a solar water storage wall: a system-level model and simulation. Energy Systems. 2017; 9 (2):361-383.

Chicago/Turabian Style

Mohammad Sameti. 2017. "A new design of a solar water storage wall: a system-level model and simulation." Energy Systems 9, no. 2: 361-383.

Journal article
Published: 01 January 2017 in International Journal of Computer Applications in Technology
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A model based on the feed-forward Artificial Neural Network (ANN) optimised by the Genetic Algorithm (GA) is developed in order to estimate the power of a solar Stirling heat engine in a smart grid. Genetic Algorithm is used to decide the initial weights of the neural network. The GA-ANN model is applied to predict the power of the solar Stirling heat engine from a data set reported in literature. The performance of the GA-ANN model is compared with numerical data. The results demonstrate the effectiveness of the GA-ANN model.

ACS Style

Mohammad Sameti; Mohammad Ali Jokar; Fatemeh Razi Astaraei. Prediction of solar Stirling power generation in smart grid by GA-ANN model. International Journal of Computer Applications in Technology 2017, 55, 147 -157.

AMA Style

Mohammad Sameti, Mohammad Ali Jokar, Fatemeh Razi Astaraei. Prediction of solar Stirling power generation in smart grid by GA-ANN model. International Journal of Computer Applications in Technology. 2017; 55 (2):147-157.

Chicago/Turabian Style

Mohammad Sameti; Mohammad Ali Jokar; Fatemeh Razi Astaraei. 2017. "Prediction of solar Stirling power generation in smart grid by GA-ANN model." International Journal of Computer Applications in Technology 55, no. 2: 147-157.

Journal article
Published: 01 January 2017 in International Journal of Computer Applications in Technology
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A model based on the feed-forward Artificial Neural Network (ANN) optimised by the Genetic Algorithm (GA) is developed in order to estimate the power of a solar Stirling heat engine in a smart grid. Genetic Algorithm is used to decide the initial weights of the neural network. The GA-ANN model is applied to predict the power of the solar Stirling heat engine from a data set reported in literature. The performance of the GA-ANN model is compared with numerical data. The results demonstrate the effectiveness of the GA-ANN model.

ACS Style

Mohammad Sameti; Mohammad Ali Jokar; Fatemeh Razi Astaraei. Prediction of solar Stirling power generation in smart grid by GA-ANN model. International Journal of Computer Applications in Technology 2017, 55, 147 .

AMA Style

Mohammad Sameti, Mohammad Ali Jokar, Fatemeh Razi Astaraei. Prediction of solar Stirling power generation in smart grid by GA-ANN model. International Journal of Computer Applications in Technology. 2017; 55 (2):147.

Chicago/Turabian Style

Mohammad Sameti; Mohammad Ali Jokar; Fatemeh Razi Astaraei. 2017. "Prediction of solar Stirling power generation in smart grid by GA-ANN model." International Journal of Computer Applications in Technology 55, no. 2: 147.

Journal article
Published: 08 July 2016 in Intelligent Buildings International
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The building sector is responsible for most of the worldwide electrical energy consumption, having surpassed both the industry and transportation sectors. In this article, a detailed thermodynamic model was proposed for a solar-driven Kalina cycle with an auxiliary superheater to meet the electrical demands of high-rise buildings in Iran’s climatic condition. A combination of correlations characterizing the Gibbs free energy of an ammonia–water mixture was utilized to describe the behaviour of the working fluid. Then an energy analysis of the cycle was studied to solve the system state points as well as the system performance. So its maximum monthly power generation is estimated. A long-term balance is considered between the electricity production and consumption for residential sectors based on the available 10-year recent data for 113 suitable sites. The energy consumption of residential buildings in each province is averaged to calculate the energy consumption of a typical building in that province. Then, the results were shown in terms of solar electrical coverage for each site. The Kalina solar system was able to cover the annual electricity demand of a residential building of at least 20.34% for Hormozgan and at most 164.36% for Isfahan.

ACS Style

Fatemeh Razi Astaraei; Mohammad Sameti; Mohammad Ali Jokar; Fathollah Pourfayaz. Numerical simulation of solar-driven Kalina cycle performance for centralized residential buildings in Iran. Intelligent Buildings International 2016, 10, 1 -25.

AMA Style

Fatemeh Razi Astaraei, Mohammad Sameti, Mohammad Ali Jokar, Fathollah Pourfayaz. Numerical simulation of solar-driven Kalina cycle performance for centralized residential buildings in Iran. Intelligent Buildings International. 2016; 10 (4):1-25.

Chicago/Turabian Style

Fatemeh Razi Astaraei; Mohammad Sameti; Mohammad Ali Jokar; Fathollah Pourfayaz. 2016. "Numerical simulation of solar-driven Kalina cycle performance for centralized residential buildings in Iran." Intelligent Buildings International 10, no. 4: 1-25.

Journal article
Published: 01 March 2016 in Journal of Building Engineering
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ACS Style

Jamasb Pirkandi; Mohammad Ali Jokar; Mohammad Sameti; Alibakhsh Kasaeian; Fazel Kasaeian. Simulation and multi-objective optimization of a combined heat and power (CHP) system integrated with low-energy buildings. Journal of Building Engineering 2016, 5, 13 -23.

AMA Style

Jamasb Pirkandi, Mohammad Ali Jokar, Mohammad Sameti, Alibakhsh Kasaeian, Fazel Kasaeian. Simulation and multi-objective optimization of a combined heat and power (CHP) system integrated with low-energy buildings. Journal of Building Engineering. 2016; 5 ():13-23.

Chicago/Turabian Style

Jamasb Pirkandi; Mohammad Ali Jokar; Mohammad Sameti; Alibakhsh Kasaeian; Fazel Kasaeian. 2016. "Simulation and multi-objective optimization of a combined heat and power (CHP) system integrated with low-energy buildings." Journal of Building Engineering 5, no. : 13-23.

Journal article
Published: 28 January 2016 in Intelligent Buildings International
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ACS Style

Mohammad Sameti; Mohammad Ali Jokar. Numerical modelling and optimization of the finite-length overhang for passive solar space heating. Intelligent Buildings International 2016, 9, 204 -221.

AMA Style

Mohammad Sameti, Mohammad Ali Jokar. Numerical modelling and optimization of the finite-length overhang for passive solar space heating. Intelligent Buildings International. 2016; 9 (4):204-221.

Chicago/Turabian Style

Mohammad Sameti; Mohammad Ali Jokar. 2016. "Numerical modelling and optimization of the finite-length overhang for passive solar space heating." Intelligent Buildings International 9, no. 4: 204-221.

Review
Published: 01 March 2015 in Renewable and Sustainable Energy Reviews
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ACS Style

Alibakhsh Kasaeian; Amin Toghi Eshghi; Mohammad Sameti. A review on the applications of nanofluids in solar energy systems. Renewable and Sustainable Energy Reviews 2015, 43, 584 -598.

AMA Style

Alibakhsh Kasaeian, Amin Toghi Eshghi, Mohammad Sameti. A review on the applications of nanofluids in solar energy systems. Renewable and Sustainable Energy Reviews. 2015; 43 ():584-598.

Chicago/Turabian Style

Alibakhsh Kasaeian; Amin Toghi Eshghi; Mohammad Sameti. 2015. "A review on the applications of nanofluids in solar energy systems." Renewable and Sustainable Energy Reviews 43, no. : 584-598.

Journal article
Published: 12 February 2015 in Building Simulation
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While solar energy can be utilized for passive space heating, efficient passive space cooling is achievable through lower temperature ambient thermal sources. In this study, a model was proposed for the combined solar heating and radiative cooling and a MATLAB code is developed to simulate combined space heating and cooling of a small building in Louisville, Kentucky. The combined system consists of the glazing/transparent insulation subsystem and the thermal storage subsystem. The space is passively heated and cooled by means of natural convection from the surfaces of the storage subsystem where the storage tank is heated by solar radiation and cooled by night sky radiation as a low temperature thermal source. The model for this system consists of several transient energy balance equations based on the lumped capacitance approach and it has been implemented utilizing MATLAB. Using the aforementioned system and the auxiliary heating/cooling units, the room temperature can be kept within the prescribed comfort range. The simulation is carried out to find the monthly and annual solar fraction, required heating demand, auxiliary heating demand as well as the unwanted heat gain during heating months. Also, the radiative cooling fraction, required cooling demand and auxiliary cooling demand during cooling months are obtained. The optimum value for transparent layer absorptivity was found to avoid unwanted heat gain. Parametric sensitivity was evaluated for material and design features related to the combined system. Simulation results for temperature profiles of the room and storage tank are also illustrated.

ACS Style

Mohammad Sameti; Alibakhsh Kasaeian. Numerical simulation of combined solar passive heating and radiative cooling for a building. Building Simulation 2015, 8, 239 -253.

AMA Style

Mohammad Sameti, Alibakhsh Kasaeian. Numerical simulation of combined solar passive heating and radiative cooling for a building. Building Simulation. 2015; 8 (3):239-253.

Chicago/Turabian Style

Mohammad Sameti; Alibakhsh Kasaeian. 2015. "Numerical simulation of combined solar passive heating and radiative cooling for a building." Building Simulation 8, no. 3: 239-253.

Journal article
Published: 01 January 2015 in Energy Conversion and Management
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ACS Style

Mohammad Hossein Ahmadi; Mehdi Mehrpooya; Mohammad Sameti. Thermo-ecological analysis and optimization performance of an irreversible three-heat-source absorption heat pump. Energy Conversion and Management 2015, 90, 175 -183.

AMA Style

Mohammad Hossein Ahmadi, Mehdi Mehrpooya, Mohammad Sameti. Thermo-ecological analysis and optimization performance of an irreversible three-heat-source absorption heat pump. Energy Conversion and Management. 2015; 90 ():175-183.

Chicago/Turabian Style

Mohammad Hossein Ahmadi; Mehdi Mehrpooya; Mohammad Sameti. 2015. "Thermo-ecological analysis and optimization performance of an irreversible three-heat-source absorption heat pump." Energy Conversion and Management 90, no. : 175-183.

Journal article
Published: 01 January 2015 in International Journal of Renewable Energy Technology
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This paper presents an investigation on irreversible refrigerator cycle based on external and internal irreversibilities considering finite heat capacities of external reservoirs. Finite temperature difference of the working fluid and external fluids causes the external irreversibility. The internal irreversibilities are caused by regenerative heat loss. Two objective functions including the coefficient of performance (COP) and has been considered simultaneously for maximisation and the normalised entropy generation rate of the refrigerator is minimised at the same time. Multi-objective evolutionary algorithms (MOEAs) based on NSGA-II algorithm has been employed while the Internal irreversibility parameter (I) and the temperatures of the fluid exchanging heat with the reservoir at the temperatures TH(Th) are considered as decision variables. Pareto optimal frontier has been performed and a final optimal solution has been chosen using various decision-making methods as well as the fuzzy Bellman-Zadeh, LINMAP and TOPSIS methods.

ACS Style

Mohammad Hossein Ahmadi; Mehdi Mehrpooya; S. Mohsen Pourkiaei; Michel Feidt; Mohammad Sameti. Thermodynamic optimisation of irreversible refrigerators base on NSGAII. International Journal of Renewable Energy Technology 2015, 6, 261 .

AMA Style

Mohammad Hossein Ahmadi, Mehdi Mehrpooya, S. Mohsen Pourkiaei, Michel Feidt, Mohammad Sameti. Thermodynamic optimisation of irreversible refrigerators base on NSGAII. International Journal of Renewable Energy Technology. 2015; 6 (3):261.

Chicago/Turabian Style

Mohammad Hossein Ahmadi; Mehdi Mehrpooya; S. Mohsen Pourkiaei; Michel Feidt; Mohammad Sameti. 2015. "Thermodynamic optimisation of irreversible refrigerators base on NSGAII." International Journal of Renewable Energy Technology 6, no. 3: 261.