Energy, exergy, and economic analyses of integration of heliostat solar receiver to gas and air bottom cycles

Ahmadi, Abolfazl; Ehyaei, M.A.; Jamali, D.H.; Despotović, Milan; Esmaeilion, Farbod; Abdalisousan, Ashkan; Hani, Ehab Hussein Bani

doi:10.1016/j.jclepro.2020.124322

Cited by 49 publications

(19 citation statements)

References 50 publications

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“…The general form of mass and energy balance equation for a control volume considering the above-mentioned assumptions is expressed by Equation (1) 30 and Equation (2), 29 respectively.…”

Section: Energy Analysismentioning

confidence: 99%

Energy, exergy, exergo‐environmental, and exergetic sustainability analyses of a gas engine‐based CHP system

Hassan

Barua

Das

2021

Energy Science & Engineering

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The electricity demand is ever increasing, and the worldwide power generation is largely dependent on the rapidly dwindling fossil fuel resources. It is no different in Bangladesh as well where the prevailing dynamic in the energy sector projects to a certain lack of sustainability. This makes the performance evaluation to determine and improve the efficiency of energy conversion systems an unavoidable requisite. This study investigates the energetic and exergetic performance of a gas engine-based (4 MW) combined heat and power system situated at Rajshahi District in Bangladesh. Different thermodynamic performance parameters along with the exergo-environmental effect and the sustainability of the system are also assessed additionally. The overall system and individual components are analyzed based on the actual data measured on site at 48% engine load and a constant engine speed of 1500 rpm. The results reveal that the maximum energy loss and exergy destruction occur in the reciprocating engine with values of 656.54 kW and 1835.04 kW, respectively, followed by the heat recovery steam generator with 465.51 kW energy loss and 671.51 kW exergy destruction.The overall system has energy and exergy efficiency of 29.95% and 23.12%, respectively. The exergetic sustainability index of the system is found to be 1.30.

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“…The general form of mass and energy balance equation for a control volume considering the above-mentioned assumptions is expressed by Equation (1) 30 and Equation (2), 29 respectively.…”

Section: Energy Analysismentioning

confidence: 99%

Energy, exergy, exergo‐environmental, and exergetic sustainability analyses of a gas engine‐based CHP system

Hassan

Barua

Das

2021

Energy Science & Engineering

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“…Based on the obtained results from exergy destruction analysis, the pumps contributed the least in this term. Ahmadi, Ehyaei, Jamali et al [16] performed the exergy and economic investigation of an integration of heliostat solar receiver, gas turbine and air bottom cycle. Gargari, Rahimi, Ghaebi et al [17] conducted analysis and optimization for a biogas-based multigeneration system to determine the maximum amounts of thermal efficiency and exergy efficiency with the minimum values of unit product cost and environmental penalty charge rates.…”

Section: Introductionmentioning

confidence: 99%

Exergy-Economic-Environment Optimization of the Waste-to-Energy Power Plant Using Multi-Objective Particle-Swarm Optimization (MOPSO)

2021

Self Cite

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This paper brings together the benefits of the results of exergy, exergoeconomic, exergoenvironmental analysis, and optimization for a waste-to-energy power plant. Initially, exergoeconomic balances for each stream were calculated. For validating the current simulations, the actual data of the Amsterdam waste-to-energy power plant in working conditions were examined. Moreover, the behaviors of the influential parameters on the objective functions were evaluated. In order to perform multi-objective optimization, the Multi-Objective Particle-Swarm Optimization algorithm is implemented. To obtain optimum operating conditions, 14 design parameters, and 3 objective functions are considered, while the total cost rate, total exergy efficiency of the cycle, and environmental impacts are the objective functions. Finally, the TOPSIS decision-making method determined optimum-operating conditions. The results of exergy analysis indicated that the most exergy destruction belonged to the incinerator unit at 66%. Instead, the pumps contributed the least in this field, (approximately 1%). Because of the optimization process, the total exergy efficiency of the power plant increased from 30.89% to 38.9% while the total cost rate was 5188.05 USD/hour. By comparison between the obtained results from the optimization procedure, introducing optimum working condition has caused an increase in exergy efficiency and reduced exergy destruction for components.

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“…), which ensures that the indoor environment complies with the requirements of thermal comfort. However, the search for uniform and comfortable indoor thermal environments [15], following standards, throughout the year and without taking into account the particularities of the climate, the site, and the buildings, is accompanied by a multiplication of climatic installations, resulting in high-energy consumption, mainly of fossil fuel dependent areas which is exhaustible and polluting, for which solar energy systems integration, a standalone wind power plant, small scale parabolic trough-based solar energy generators [28] and the hybridization of PV system [29,30] with it are being explored.…”

Section: Introductionmentioning

confidence: 99%

Thermophysics Analysis of Office Buildings with a Temperature–Humidity Coupling Strategy Under Hot-Arid Climatic Conditions

Bensafi

Ameur²,

Kaid

et al. 2021

Int J Thermophys

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This study investigates the determining parameters of thermal comfort of office in an arid hot-arid environment of Bechar, located in the northwestern region of Algeria, in which the vertical walls of the room and the roof are subjected to solar irradiations and the floor is considered to be adiabatic. The solar flux is calculated by the ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) method. The predicted results are validated against the experimental results of the meteorological station of the ENERGARID research laboratory at the University of Bechar (Algeria). The characteristics of the ambient air flow are performed by using the computational fluid dynamics (CFD) software (Fluent). The flow fields, thermal fields, and humidity are investigated. An elaborated computer program (with Delphi language) is utilized to evaluate the temperature–humidity coupling as the most essential factors of the thermal comfort. A significant impact of dynamic temperatures and humidity on thermal comfort has been observed, especially in this hot-arid environment. Besides, a considerable effect of the flow velocity has been remarked. From the obtained results and to provide the best thermal comfort in such arid regions, the range of air velocity inside the building is recommended to be between 0.2 m·s−1 and 0.3 m·s−1.

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Energy, exergy, and economic analyses of integration of heliostat solar receiver to gas and air bottom cycles

Cited by 49 publications

References 50 publications

Energy, exergy, exergo‐environmental, and exergetic sustainability analyses of a gas engine‐based CHP system

Energy, exergy, exergo‐environmental, and exergetic sustainability analyses of a gas engine‐based CHP system

Exergy-Economic-Environment Optimization of the Waste-to-Energy Power Plant Using Multi-Objective Particle-Swarm Optimization (MOPSO)

Thermophysics Analysis of Office Buildings with a Temperature–Humidity Coupling Strategy Under Hot-Arid Climatic Conditions

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