The Experts below are selected from a list of 1917 Experts worldwide ranked by ideXlab platform
Sepehr Sanaye - One of the best experts on this subject based on the ideXlab platform.
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simultaneous use of mrm maximum rectangle method and optimization methods in determining nominal capacity of gas engines in cchp combined cooling heating and power systems
Energy, 2014Co-Authors: Sepehr Sanaye, Navid KhakpaayAbstract:Energy, economic, and environmental analyses of combined cooling, heating and power (CCHP) systems were performed here to select the nominal capacities of gas engines by combination of optimization algorithm and maximum rectangle method (MRM). The analysis was performed for both priority of providing electricity (PE) and priority of providing heat (PH) operation strategies. Four scenarios (SELL-PE, SELL-PH, No SELL-PE, No SELL-PH) were followed to specify design parameters such as the number and nominal power of prime movers, heating capacities of both backup boiler and energy storage tank, and the cooling capacities of electrical and absorption chillers. By defining an objective function called the Relative Annual Benefit (RAB), Genetic Algorithm optimization method was used for finding the optimal values of design parameters. The optimization results indicated that two gas engines (with nominal powers of 3780 and 3930 kW) in SELL-PE scenario, two gas engines (with nominal powers of 5290 and 5300 kW) in SELL-PH scenario, one gas engine (with nominal power of 2440 kW) in No SELL-PE scenario provided the maximum value of the objective function. Furthermore in No SELL-PE scenario (which had the lowest RAB value in comparison with that for the above mentioned scenarios), thermal energy storage was not required. Due to very low value of RAB, any gas engine in No SELL-PH scenario was not recommended.
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simultaneous use of mrm maximum rectangle method and optimization methods in determining nominal capacity of gas engines in cchp combined cooling heating and power systems
Energy, 2014Co-Authors: Sepehr Sanaye, Navid KhakpaayAbstract:Energy, economic, and environmental analyses of combined cooling, heating and power (CCHP) systems were performed here to select the nominal capacities of gas engines by combination of optimization algorithm and maximum rectangle method (MRM). The analysis was performed for both priority of providing electricity (PE) and priority of providing heat (PH) operation strategies. Four scenarios (SELL-PE, SELL-PH, No SELL-PE, No SELL-PH) were followed to specify design parameters such as the number and nominal power of prime movers, heating capacities of both backup boiler and energy storage tank, and the cooling capacities of electrical and absorption chillers. By defining an objective function called the Relative Annual Benefit (RAB), Genetic Algorithm optimization method was used for finding the optimal values of design parameters. The optimization results indicated that two gas engines (with nominal powers of 3780 and 3930 kW) in SELL-PE scenario, two gas engines (with nominal powers of 5290 and 5300 kW) in SELL-PH scenario, one gas engine (with nominal power of 2440 kW) in No SELL-PE scenario provided the maximum value of the objective function. Furthermore in No SELL-PE scenario (which had the lowest RAB value in comparison with that for the above mentioned scenarios), thermal energy storage was not required. Due to very low value of RAB, any gas engine in No SELL-PH scenario was not recommended.
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selecting the prime movers and nominal powers in combined heat and power systems
Applied Thermal Engineering, 2008Co-Authors: Sepehr Sanaye, Mehdi Aghaei Meybodi, Shahabeddin ShokrollahiAbstract:Abstract Combined heat and power (CHP) systems have many economical and environmental benefits. Generally, selection of these systems is being performed using the time-dependent curves of the required electricity and heating load during a year. In the selection of a CHP system, the operation of this system at off-design point also should be studied. In this paper, a new and relatively quick method for selecting the number of each type of prime mover, and determining their nominal power and operational strategy considering specific electrical and heating loads is presented. Three types of prime movers which are studied in this paper are gas turbine, diesel engine, and gas engine. It was found that the ambient conditions, electricity and heating loads, fuel type, its heating value and price, and price of buying and selling electricity, affect the results considerably. The operational strategy was also studied in two economical and electricity tracking modes. In the former case it was allowed to sell the excess electricity to the network. In the latter, the engine had to operate to supply just the required electricity. The appropriate required boiler heat capacity was estimated in the two above mentioned cases.
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selection and sizing of prime movers in combined heat and power systems
ASME Turbo Expo 2004: Power for Land Sea and Air, 2004Co-Authors: Sepehr Sanaye, Shahabeddin ShokrollahiAbstract:Combined heat and power (CHP) is a technology with significant economical and environmental benefits. Proper sizing and operational strategy of CHP systems must take into account the time dependent character of electrical and thermal load requirements. Furthermore the CHP systems should be able to operate at off-design points with variable power and heat outputs. In this paper, the selection of type and combination of prime movers, their nominal powers and planning their operational strategy is performed. Three prime movers namely diesel engine, gas engine and gas turbine have been used to provide the required power and heat loads. Ambient conditions, and time dependent electrical/heat load curves are assumed to be the known variables, and thermal efficiency, engine exhaust gas temperatures, exhaust and fuel mass flow rate at partial load are estimated using relations obtained for prime movers mentioned in this paper. The presented approach successfully estimated the most economical combination of prime movers for a selected district heating plant.Copyright © 2004 by ASME
Erik Sundin - One of the best experts on this subject based on the ideXlab platform.
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factors influencing sustainable purchasing behaviour of remanufactured robotic lawn Mowers
Sustainability, 2021Co-Authors: Daan Kabel, Mattias Elg, Erik SundinAbstract:The lack of consumer acceptance for remanufactured products is preventing the transition towards sustainable consumption. When knowledge about remanufacturing among consumers is limited, more insight is required into the consumer’s expectations. The purpose of this paper is to examine the consumer’s expectations and willingness to engage in sustainable purchasing behaviour when considering buying remanufactured robotic lawn Mowers. The theory of planned behaviour and variables from green marketing help form the research model, which was tested empirically using survey data from 118 samples. The results indicate that sustainable purchasing behaviour of remanufactured robotic lawn Mowers is primarily influenced by the consumer’s attitude and evaluation of the remanufactured product, and less so by external influences. Consumers expecting high product quality, low price, and low risk, had a positive evaluation and were therefore more willing to engage in sustainable purchasing behaviour of remanufactured robotic lawn Mowers. More concisely, consumers value performance and price reductions, and worry about the time the remanufactured robotic lawn mower remains functional. Environmental knowledge among consumers is sufficient but cannot be fully translated into positive evaluations and sustainable purchases of remanufactured robotic lawn Mowers. This research provides guidance for how remanufacturing firms can improve their circular marketing and remanufacturing strategies.
Daan Kabel - One of the best experts on this subject based on the ideXlab platform.
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factors influencing sustainable purchasing behaviour of remanufactured robotic lawn Mowers
Sustainability, 2021Co-Authors: Daan Kabel, Mattias Elg, Erik SundinAbstract:The lack of consumer acceptance for remanufactured products is preventing the transition towards sustainable consumption. When knowledge about remanufacturing among consumers is limited, more insight is required into the consumer’s expectations. The purpose of this paper is to examine the consumer’s expectations and willingness to engage in sustainable purchasing behaviour when considering buying remanufactured robotic lawn Mowers. The theory of planned behaviour and variables from green marketing help form the research model, which was tested empirically using survey data from 118 samples. The results indicate that sustainable purchasing behaviour of remanufactured robotic lawn Mowers is primarily influenced by the consumer’s attitude and evaluation of the remanufactured product, and less so by external influences. Consumers expecting high product quality, low price, and low risk, had a positive evaluation and were therefore more willing to engage in sustainable purchasing behaviour of remanufactured robotic lawn Mowers. More concisely, consumers value performance and price reductions, and worry about the time the remanufactured robotic lawn mower remains functional. Environmental knowledge among consumers is sufficient but cannot be fully translated into positive evaluations and sustainable purchases of remanufactured robotic lawn Mowers. This research provides guidance for how remanufacturing firms can improve their circular marketing and remanufacturing strategies.
Jason H Calhoun - One of the best experts on this subject based on the ideXlab platform.
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injuries of the foot related to the use of lawn Mowers
Journal of Bone and Joint Surgery American Volume, 1995Co-Authors: Diane M Anger, Billy R Ledbetter, P J Stasikelis, Jason H CalhounAbstract:We managed thirty-three patients who had open injuries of the foot related to the use of a lawn mower from 1985 through 1992. Twenty-eight of the patients were male and five were female. They ranged in age from four to seventy-three years old. The injuries were associated with the use of push lawn Mowers (twenty-two patients), riding lawn Mowers (nine patients), and self-propelled lawn Mowers (two patients). The injuries included forty open fractures, twenty amputations, eighteen lacerations of the skin and nail beds, nine lacerations of tendons, two closed fractures, segmental loss of bone in two patients, and segmental loss of the Achilles tendon in one patient. The findings on culture of intraoperative specimens revealed a mean of 3.1 organisms (range, one to nine organisms) per patient. All of the patients were managed with at least one operative procedure (mean, 2.4 operations; range, one to five operations), and all were treated with parenteral antibiotic therapy (mean, 2.3 antibiotics; range, one to six antibiotics) except for one patient who had oral antibiotic therapy. The mechanism of injury was documented for twenty of the twenty-two patients who had been injured by a push lawn mower. Seventeen patients were injured while pulling the push lawn mower backward, and eight of those patients had been pulling the lawn mower up a slope.(ABSTRACT TRUNCATED AT 250 WORDS)
Navid Khakpaay - One of the best experts on this subject based on the ideXlab platform.
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simultaneous use of mrm maximum rectangle method and optimization methods in determining nominal capacity of gas engines in cchp combined cooling heating and power systems
Energy, 2014Co-Authors: Sepehr Sanaye, Navid KhakpaayAbstract:Energy, economic, and environmental analyses of combined cooling, heating and power (CCHP) systems were performed here to select the nominal capacities of gas engines by combination of optimization algorithm and maximum rectangle method (MRM). The analysis was performed for both priority of providing electricity (PE) and priority of providing heat (PH) operation strategies. Four scenarios (SELL-PE, SELL-PH, No SELL-PE, No SELL-PH) were followed to specify design parameters such as the number and nominal power of prime movers, heating capacities of both backup boiler and energy storage tank, and the cooling capacities of electrical and absorption chillers. By defining an objective function called the Relative Annual Benefit (RAB), Genetic Algorithm optimization method was used for finding the optimal values of design parameters. The optimization results indicated that two gas engines (with nominal powers of 3780 and 3930 kW) in SELL-PE scenario, two gas engines (with nominal powers of 5290 and 5300 kW) in SELL-PH scenario, one gas engine (with nominal power of 2440 kW) in No SELL-PE scenario provided the maximum value of the objective function. Furthermore in No SELL-PE scenario (which had the lowest RAB value in comparison with that for the above mentioned scenarios), thermal energy storage was not required. Due to very low value of RAB, any gas engine in No SELL-PH scenario was not recommended.
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simultaneous use of mrm maximum rectangle method and optimization methods in determining nominal capacity of gas engines in cchp combined cooling heating and power systems
Energy, 2014Co-Authors: Sepehr Sanaye, Navid KhakpaayAbstract:Energy, economic, and environmental analyses of combined cooling, heating and power (CCHP) systems were performed here to select the nominal capacities of gas engines by combination of optimization algorithm and maximum rectangle method (MRM). The analysis was performed for both priority of providing electricity (PE) and priority of providing heat (PH) operation strategies. Four scenarios (SELL-PE, SELL-PH, No SELL-PE, No SELL-PH) were followed to specify design parameters such as the number and nominal power of prime movers, heating capacities of both backup boiler and energy storage tank, and the cooling capacities of electrical and absorption chillers. By defining an objective function called the Relative Annual Benefit (RAB), Genetic Algorithm optimization method was used for finding the optimal values of design parameters. The optimization results indicated that two gas engines (with nominal powers of 3780 and 3930 kW) in SELL-PE scenario, two gas engines (with nominal powers of 5290 and 5300 kW) in SELL-PH scenario, one gas engine (with nominal power of 2440 kW) in No SELL-PE scenario provided the maximum value of the objective function. Furthermore in No SELL-PE scenario (which had the lowest RAB value in comparison with that for the above mentioned scenarios), thermal energy storage was not required. Due to very low value of RAB, any gas engine in No SELL-PH scenario was not recommended.