Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy

Alirahmi, Seyed Mojtaba; Dabbagh, Sajjad Rahmani; Ahmadi, Pouria; Wongwises, Somchai

doi:10.1016/j.enconman.2019.112426

Cited by 238 publications

(28 citation statements)

References 35 publications

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“…Solana, which has been online since 2013, has a massive 1,680 megawatt-hour power reserve. Total thermal energy storage will almost double in 2015 [3]. Proposals using this practical thermal energy storage are gradually increasing [4][5][6].…”

Section: Case Studymentioning

confidence: 99%

“…Alirahmi et al [3] proposed a multiple generation system based on the geothermal energy and a parabolic-linear solar collector system for simultaneous electricity generation, cooling load, freshwater, hydrogen, and heat. To optimize the objectives of their research, EES (engineering equation solver) and MATLAB software were interconnected using the Dynamic Exchange Data method.…”

Section: Introductionmentioning

confidence: 99%

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Exergy and Energy Analysis of Wind-Thermal System

Norouzi

2021

Tr Ren Energy

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Current wind systems are intermittent and cannot be used as the baseload energy source. The research on the concept of wind power using direct thermal energy conversion and thermal energy storage, called wind powered Thermal Energy System (WTES), opened the door to a new energy system called Wind-thermal, which is a strategy for developing baseload wind power systems. The thermal energy is generated from the rotating energy directly at the top of the tower by the heat generator, which is a simple and light electric brake. The rest of the system is the same as the tower type concentrated solar power (CSP). This paper’s results suggest that the energy and exergy performance of the WTES (62.5% and 29.8%) is comparable to that of conventional wind power, which must be supported by the backup thermal plants and grid enhancement. This cogeneration nature of the WTES system makes this system suitable for using wind power as a direct heat source in several heat-demanding processes such as chemical production. Also, the light heat generator reduces some issues of wind power, such as noise and vibration, which are two main bottlenecks of the wind power technology.

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Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exergy and Energy Analysis of Wind-Thermal System

Norouzi

2021

Tr Ren Energy

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“…The dominant usage of steam turbines nowadays is production of mechanical power and electric generators drive [1,2]. Such steam turbines can be found in conventional [3,4], nuclear [5,6], combined or cogeneration [7][8][9], marine [10][11][12], or various other power plants [13][14][15]. Also, steam turbines can be used for various other purposes instead of electric generator drive.…”

Section: Introductionmentioning

confidence: 99%

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction

et al. 2021

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This paper presents an exergy analysis of the whole turbine, turbine cylinders and cylinder parts in four different operating regimes. Analyzed turbine operates in nuclear power plant while three of four operating regimes are obtained by using optimization algorithms – SA (Simplex Algorithm), GA (Genetic Algorithm) and IGSA (Improved Genetic-Simplex Algorithm). IGSA operating regime gives the highest developed mechanical power of the whole turbine equal to 1022.48 MW, followed by GA (1020.06 MW) and SA (1017.16 MW), while in Original operating regime whole turbine develop mechanical power equal to 996.29 MW. In addition, IGSA causes the highest increase in developed mechanical power of almost all cylinders and cylinder parts in comparison to the Original operating regime. All observed optimization algorithms increases the exergy destruction of the whole turbine in comparison to Original operating regime - the lowest increase causes IGSA, followed by GA and finally SA. The highest exergy efficiency of the whole turbine, equal to 85.92% is obtained by IGSA, followed by GA (85.89%) and SA (85.82%), while the lowest exergy efficiency is obtained in Original operating regime (85.70%). Analyzed turbine, which operates by using wet steam is low influenced by the ambient temperature change. IGSA, which shows dominant performance in exergy analysis parameters of the analyzed turbine, in certain situations is overpowered by GA. Therefore, in optimization of steam turbine performance, IGSA and GA can be recommended.

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“…De igual forma, la energía solar se ha utilizado en combinación a otros tipos de energía alternativa como la energía geotérmica, logrando acoplar estas dos fuentes a ciclos Rankine orgánicos consiguiendo incrementos en la eficiencia exergética del sistema de un 29,9% y un ahorro en el costo unitario de la generación de aproximadamente 129 dólares [8]. Estas mejoras en la eficiencia del sistema no solo significan ahorros económicos en el proceso de generación energetica, sino que, además, impactan de manera positiva el medio ambiente.…”

Section: Introductionunclassified

Análisis de estadística descriptiva y distribución de frecuencia de la velocidad del viento

Moreno¹,

García²,

Castillo³

2021

bol.redipe

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En el presente estudio, se presenta la implementación de una red neuronal artificial (RNA) para la predicción de irradiación solar en barranquilla. Para lograr esta implementación, se utilizaron datos para entrenamiento de una estación meteorológica ubicada en el centro de la ciudad de Barranquilla. De esta estación se tomaron datos de temperatura, velocidad del tiempo, humedad e irradiación solar. Los datos fueron tomados del primero de enero al 31 de diciembre del año 2019. Estos datos fueron sometidos a un análisis estadístico descriptivo e inferencial, en el cual se revisaron las medidas son las de tendencia central, las de variabilidad y las distribuciones que se le aplican a los datos obtenidos.

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Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy

Cited by 238 publications

References 35 publications

Exergy and Energy Analysis of Wind-Thermal System

Exergy and Energy Analysis of Wind-Thermal System

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction

Análisis de estadística descriptiva y distribución de frecuencia de la velocidad del viento

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