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In internal combustion engines, a significant share of the fuel energy is wasted via the heat losses. This study aims to understand the heat losses and analyze the potential of the waste heat recovery when biofuels are used in SI engines. A numerical model is developed for a single-cylinder, four-stroke and air-cooled SI engine to carry out the waste heat recovery analysis. To verify the numerical solution, experiments are first conducted for the gasoline engine. Biofuels including pure ethanol (E100), E15 (15% ethanol) and E85 (85% ethanol) are then studied using the validated numerical model. Furthermore, the exhaust power to heat loss ratio (
Ali Qasemian; Sina Haghparast; Pouria Azarikhah; Meisam Babaie. Effects of Compression Ratio of Bio-Fueled SI Engines on the Thermal Balance and Waste Heat Recovery Potential. Sustainability 2021, 13, 5921 .
AMA StyleAli Qasemian, Sina Haghparast, Pouria Azarikhah, Meisam Babaie. Effects of Compression Ratio of Bio-Fueled SI Engines on the Thermal Balance and Waste Heat Recovery Potential. Sustainability. 2021; 13 (11):5921.
Chicago/Turabian StyleAli Qasemian; Sina Haghparast; Pouria Azarikhah; Meisam Babaie. 2021. "Effects of Compression Ratio of Bio-Fueled SI Engines on the Thermal Balance and Waste Heat Recovery Potential." Sustainability 13, no. 11: 5921.
Purpose This paper aims to investigate the natural convection fluid flow and heat transfer in a finned/multi-pipe cavity. Design/methodology/approach The cavity is filled with the CuO-water nanofluid. The Koo–Kleinstreuer–Li model is used to estimate the dynamic viscosity and consider Brownian motion. On the other hand, the effect of the shapes of nanoparticles on the thermal conductivity and related heat transfer rate is presented. Findings In the present investigation, the governing parameters are Rayleigh number, CuO nanoparticle concentration in pure water and the thermal arrangements of internal active fins and solid bodies. Impacts of these parameters on the nanofluid flow, heat transfer rate, total/local entropy generation and heatlines are presented. It is concluded that adding nanoparticles to the pure fluid has a significant positive influence on the heat transfer performance. In addition, the average Nusselt number and total entropy generation have direct a relationship with the Rayleigh number. The thermal arrangement of the internal bodies and fins is a good controlling tool to determine the desired magnitude of heat transfer rate. Originality/value The originality of this paper is to use the lattice Boltzmann method in simulating the nanofluid flow and heat transfer within a cavity included with internal active bodies and fins.
Alireza Rahimi; Pouria Azarikhah; Abbas Kasaeipoor; Emad Hasani Malekshah; Lioua Kolsi. Lattice Boltzmann simulation of free convection’s hydrothermal aspects in a finned/multi-pipe cavity filled with CuO-water nanofluid. International Journal of Numerical Methods for Heat & Fluid Flow 2019, 29, 1058 -1078.
AMA StyleAlireza Rahimi, Pouria Azarikhah, Abbas Kasaeipoor, Emad Hasani Malekshah, Lioua Kolsi. Lattice Boltzmann simulation of free convection’s hydrothermal aspects in a finned/multi-pipe cavity filled with CuO-water nanofluid. International Journal of Numerical Methods for Heat & Fluid Flow. 2019; 29 (3):1058-1078.
Chicago/Turabian StyleAlireza Rahimi; Pouria Azarikhah; Abbas Kasaeipoor; Emad Hasani Malekshah; Lioua Kolsi. 2019. "Lattice Boltzmann simulation of free convection’s hydrothermal aspects in a finned/multi-pipe cavity filled with CuO-water nanofluid." International Journal of Numerical Methods for Heat & Fluid Flow 29, no. 3: 1058-1078.
This paper investigates the effect of some biofuels on thermal balance and performance characteristics of a single-cylinder, four-stroke SI internal combustion engine. In this study, total and instantaneous energy balance of an air-cooled, small-scale engine using various biofuels is investigated. An experimental study is carried out on gasoline engine to validate the numerical calculations. Bio-alternative fuels which include methanol, ethanol and 2-ethanol–gasoline-blended fuels consisting of E85, E15 are examined numerically. Results indicate that methanol is the most effective fuel in aspect of power generation. Ethanol, E85, E15 and gasoline are placed in next positions, respectively. Break specific fuel consumption shows totally reversed trend. It is evaluated that by increasing engine speed, heat transfer to brake power ratio decreases and lower percentage of energy in form of heat transfer is lost. The least heat transfer to brake power ratio among studied fuel is related to methanol which approves it as the most efficient biofuel. Based on instantaneous in-cylinder energy balance analysis, at the end of combustion and during expansion stroke, instantaneous brake work of fuels outpaces each other at around 40° crank angle aTDC.
Pouria Azarikhah; Sina Jenabi Haghparast; Ali Qasemian. Investigation on total and instantaneous energy balance of bio-alternative fuels on an SI internal combustion engine. Journal of Thermal Analysis and Calorimetry 2019, 137, 1681 -1692.
AMA StylePouria Azarikhah, Sina Jenabi Haghparast, Ali Qasemian. Investigation on total and instantaneous energy balance of bio-alternative fuels on an SI internal combustion engine. Journal of Thermal Analysis and Calorimetry. 2019; 137 (5):1681-1692.
Chicago/Turabian StylePouria Azarikhah; Sina Jenabi Haghparast; Ali Qasemian. 2019. "Investigation on total and instantaneous energy balance of bio-alternative fuels on an SI internal combustion engine." Journal of Thermal Analysis and Calorimetry 137, no. 5: 1681-1692.
The main contribution of this research is formulating the size optimization of grid-independent hybrid wind/photovoltaic/biodiesel/battery systems and proposing a hybrid algorithm on this optimization problem. There are many investigations based on hybrid wind and PV power systems but the investigation on the hybrid wind/photovoltaic/biodiesel/battery system is rarely found. Here, the optimal design of a biodiesel/wind/photovoltaic/battery energy system for a stand-alone application in Iran is studied. The objective of the optimum design problem is to minimize the life cycle cost of the wind/photovoltaic/biodiesel/battery system subject to some constraints by adjusting four decision variables, namely, number of batteries, photovoltaic area, the swept area of wind turbines, and fuel consumption of the biodiesel generator. To solve the optimization problem, initially, we investigate the performance of two popular metaheuristic algorithms, namely, harmony search and simulated annealing. Moreover, this article proposes a hybrid harmony search-simulated annealing method that combines the advantages of each one of the above-mentioned metaheuristic algorithms. Simulation results show that the proposed hybrid harmony search-simulated annealing improves the obtained solutions, in terms of quality, compared to the solutions provided by individual harmony search or individual simulated annealing algorithms. Moreover, the hybrid photovoltaic/biodiesel/battery system is the best choice to supply the electrical load.
Du Guangqian; Kaveh Bekhrad; Pouria Azarikhah; Akbar Maleki. A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems. Renewable Energy 2018, 122, 551 -560.
AMA StyleDu Guangqian, Kaveh Bekhrad, Pouria Azarikhah, Akbar Maleki. A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems. Renewable Energy. 2018; 122 ():551-560.
Chicago/Turabian StyleDu Guangqian; Kaveh Bekhrad; Pouria Azarikhah; Akbar Maleki. 2018. "A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems." Renewable Energy 122, no. : 551-560.
Nineteen evolutionary algorithms, including single and hybrid optimization algorithms, are used for determining the optimum size of a hybrid renewable energy system (HRES) that is comprised of a wind turbine, a photovoltaic panel, a battery bank, and a reverse osmosis desalination unit. The main source electrical power for the reverse-osmosis desalination unit for producing fresh water is solar and wind energy, and batteries are used as back up units. Integer and continuous variables in the HRES optimization model for a remote area of Iran are considered. The optimization aims to meet the load continuously while minimizing the HRES life cycle cost subject to relevant constraints. Also, to ensure reliability, the reliability index is assessed for the loss of power supply probability. In order to achieve optimal performance, various versions well-known optimization approaches are used: particle swarm optimization, bee swarm optimization, harmony search, simulated annealing, chaotic search, and tabu search algorithm. The results show that hybrid optimization techniques provide the best performance among the considered evolutionary algorithms and that using the HRES reduces system costs and increases system reliability in general and for increasing fresh water availability.
Wanxi Peng; Akbar Maleki; Marc A. Rosen; Pouria Azarikhah. Optimization of a hybrid system for solar-wind-based water desalination by reverse osmosis: Comparison of approaches. Desalination 2018, 442, 16 -31.
AMA StyleWanxi Peng, Akbar Maleki, Marc A. Rosen, Pouria Azarikhah. Optimization of a hybrid system for solar-wind-based water desalination by reverse osmosis: Comparison of approaches. Desalination. 2018; 442 ():16-31.
Chicago/Turabian StyleWanxi Peng; Akbar Maleki; Marc A. Rosen; Pouria Azarikhah. 2018. "Optimization of a hybrid system for solar-wind-based water desalination by reverse osmosis: Comparison of approaches." Desalination 442, no. : 16-31.