Exergoeconomic analysis and optimization of a solar based multigeneration system using multiobjective differential evolution algorithm

Rashidi, Halimeh; Khorshidi, Jamshid

doi:10.1016/j.jclepro.2017.09.201

Cited by 76 publications

(13 citation statements)

References 41 publications

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“…This solution significantly increases the energy efficiency of the gas and gas system compared to a system without cold production. Development of trigeneration schemes is a promising solution to energy and environmental problems by increasing energy efficiency and minimizing energy losses [16][17][18][19].…”

Section: Of 33mentioning

confidence: 99%

“…As noted already, an identical procedure is applied to obtain z opt TE and η max TE with a note that in the place of the temperatures T 1 , T 2 and T 3 in Formulae (8), (12), (16), (17) and 18, we need to substitute temperatures: T 5 , T 6 and T 7 , and the pressure p 5 is applied to replace the value of p 1 in Formula (12). As indicated above, the capacities N GT , N TE derived from thermodynamic analysis form the input for the further economic analysis.…”

Section: Ofmentioning

confidence: 99%

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Thermodynamic and Economic Analysis of Trigeneration System Comprising a Hierarchical Gas-Gas Engine for Production of Electricity, Heat and Cold

et al. 2020

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This paper presents the results of analysis of energy and economic efficiency of the hierarchical gas-gas engine, with a note that a trigeneration system was analyzed, in which the production of electricity, heat and cold are combined. This solution significantly increases the energy efficiency of the gas and gas system compared to a system without cold production. The analysis includes a system comprising a compressor chiller which is driven by an electric motor in the system, as well as a system applying the mechanical work that is carried out via a rotating shaft of rotor-based machines, i.e., a gas turbine and a turboexpander. The comfort of the regulation of the refrigerating power rather promotes the use of a solution including an electric motor. Analysis contains also a schematic diagram of the system with a absorption chiller, which is driven by low-temperature enthalpy of exhaust gases extracted from a hierarchical gas-gas engine. Application of turboexpander with heat regeneration in the trigeneration system is also analyzed. Based on the multi-variant economic and thermodynamic calculations, the most favorable system variant was determined using, among others, the specific cost of cold production.

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Section: Of 33mentioning

confidence: 99%

Section: Ofmentioning

confidence: 99%

Thermodynamic and Economic Analysis of Trigeneration System Comprising a Hierarchical Gas-Gas Engine for Production of Electricity, Heat and Cold

et al. 2020

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“…Mohamed [44] proposed an enhanced adaptive differential evolution algorithm to solve large-scale global optimization problems. Rashidi and Khorshidi [45] presented a multiobjective differential evolution algorithm. Mohamed [44] presented a multiobjective self-adaptive differential evolution (MOSaDE) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models

Song

Mohamed

et al. 2021

Complexity

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In the past few decades, a lot of optimization methods have been applied in estimating the parameter of photovoltaic (PV) models and obtained better results, but these methods still have some deficiencies, such as higher time complexity and poor stability. To tackle these problems, an enhanced success history adaptive DE with greedy mutation strategy (EBLSHADE) is employed to optimize parameters of PV models to propose a parameter optimization method in this paper. In the EBLSHADE, the linear population size reduction strategy is used to gradually reduce population to improve the search capabilities and balance the exploitation and exploration capabilities. The less and more greedy mutation strategy is used to enhance the exploitation capability and the exploration capability. Finally, a parameter optimization method based on EBLSHADE is proposed to optimize parameters of PV models. The different PV models are selected to prove the effectiveness of the proposed method. Comparison results demonstrate that the EBLSHADE is an effective and efficient method and the parameter optimization method is beneficial to design, control, and optimize the PV systems.

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“…Solar energy conversion systems either in the form of concentrating or nonconcentrating can obtain a high content of exergy from the solar irradiations . Some part of this exergy flow is dissipated due to irreversibilities which are taken place in the process such as hydraulic processes or the storage tank …”

Section: Introductionmentioning

confidence: 99%

Steady state operation exergy‐based optimization for solar thermal collectors

Grosu

Mathieu

Rochelle

et al. 2019

Env Prog and Sustain Energy

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In this investigation, exergy-based optimization was carried out on two configurations of solar thermal collectors. A set of control sensors were utilized to control the performance of the system and monitor the design variables, that is, inlet and outlet temperature of the solar fluid, ambient temperature, incident solar flux, and required mechanical and electrical work in the system. The fluid temperature was considered to vary in the range of 120-180 C with respect to technical and economic considerations. The collector surface area was considered 606 m 2 in both configurations, and a medium solar incident was considered about 520 W/m 2 . The maximum acceptable temperature difference is obtained as function of the input temperature. The technical limitation is plotted for both configurations of solar collectors. It was noticed that the exergy flow of simple evacuated tubes can reach the maximum value when the input temperature is greater than 115 C for an incident solar flow, from 250 W/m 2 up to the limit of 950 W/m 2 . Exergy analysis demonstrated that more control is required on the temperature control to obtain the optimum performance of the solar collector. Thus, applying exergy optimization approach can be very useful to guide control system, the maximum outlet temperature being a key variable on the performance of the collectors.

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Exergoeconomic analysis and optimization of a solar based multigeneration system using multiobjective differential evolution algorithm

Cited by 76 publications

References 41 publications

Thermodynamic and Economic Analysis of Trigeneration System Comprising a Hierarchical Gas-Gas Engine for Production of Electricity, Heat and Cold

Thermodynamic and Economic Analysis of Trigeneration System Comprising a Hierarchical Gas-Gas Engine for Production of Electricity, Heat and Cold

Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models

Steady state operation exergy‐based optimization for solar thermal collectors

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