Advanced exergy analysis of the Kalina cycle applied for low temperature enhanced geothermal system

Fallah, M.; Mahmoudi, S.M.S.; Yari, Mortaza; Ghiasi, R. Akbarpour

doi:10.1016/j.enconman.2015.11.017

Cited by 187 publications

(39 citation statements)

References 33 publications

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“…Kalina cycles in geothermal systems [11], gas turbine systems [12], [13], power plants [14], [15], refrigeration cycles [16], etc.. However, until now no bottoming ORC coupled to an ICE has been analyzed and evaluated using this method.…”

mentioning

confidence: 99%

Advanced exergy analysis for a bottoming organic rankine cycle coupled to an internal combustion engine

Galindo

Ruíz

Dolz

et al. 2016

Energy Conversion and Management

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This paper deals with the evaluation and analysis of a bottoming ORC cycle coupled to an IC engine by means of conventional and advanced exergy analysis. Using experimental data of an ORC coupled to a 2 l turbocharged engine, both conventional and advanced exergy analysis are carried out. Splitting the exergy in the advanced exergy analysis into unavoidable and avoidable provides a measure of the potential of improving the efficiency of this component. On the other hand, splitting the exergy into endogenous and exogenous provides information between interactions among system components. The result of this study shows that there is a high potential of improvement in this type of cycles. Although, from the conventional analysis, the exergy destruction rate of boiler is greater than the one of the expander, condenser and pump, the advanced exergy analysis suggests that the first priority of improvement should be given to the expander, followed by the pump, the condenser and the boiler. A total amount of 3.75 kW (36.5%) of exergy destruction rate could be lowered, taking account that only the avoidable part of the exergy destruction rate can be reduced.

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mentioning

confidence: 99%

Advanced exergy analysis for a bottoming organic rankine cycle coupled to an internal combustion engine

Galindo

Ruíz

Dolz

et al. 2016

Energy Conversion and Management

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“…This method is shown to provide higher accuracy than others since the thermodynamic specifications of the model is well understood. 20,21 In the analysis, the following assumptions have been resorted to.…”

Section: Thermodynamic Evaluation Of Cavern-based Caes Systemmentioning

confidence: 99%

“…In this work, the thermodynamic cycle method is used to evaluate the thermodynamic performances of the generated configurations. This method is shown to provide higher accuracy than others since the thermodynamic specifications of the model is well understood 20,21 . In the analysis, the following assumptions have been resorted to. The system boundary is at the ambient temperature and pressure. The ambient temperature and pressure are 25 ° C and 101 kPa, respectively. The potential and the kinetic energy of the working fluids are negligible. No chemical reaction occurs. Air behaves as an ideal gas. …”

Section: Thermodynamic Evaluation Of Cavern‐based Caes Systemmentioning

confidence: 99%

Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

et al. 2020

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Due to the dynamic interactions of the components of cavern-based compressed air energy storage plants, optimizing this system is challenging and a small change in the design parameters, such mass flow rate, compression ratio, expansion ratio can significantly alter the efficiency of the entire system. An adaptive genetic algorithm has been invoked to overcome this challenge, with system efficiency and exergy efficiency as the objective functions. The proposed method provides more flexibility to the optimization process; instead of using fixed rates for the mutation percentage, it is adjusted individually based on the feedback from both the intensity of a component's distributions in the design space and the relative objective function of that component in comparison to other components. The method is utilized for the efficiency optimization of an 80 MW plant with 9 of freedom. For performing the optimization process an automatic coupling between HYSYS and MATLAB was used. The proposed search algorithm discovered a significantly wider range of data by increasing the chance of design parameters relocation with efficient shifting of the searching domain. Outcomes indicated the merit of the algorithm by 6.4% increase in the efficiency of the plant as well as notably decreasing the number of objective function evaluations.

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“…In parallel, many studies have been carried out on cogeneration, tri-generation and multi-generation systems employing binary mixtures such as the ammonia-water solutions [6,7]. To utilize low-temperature heat sources, the organic Rankine cycle (ORC) and the Kalina cycle (KC) have both been demonstrated to be reliable and applied extensively in electricity generation [8][9][10][11][12][13][14]. To produce cooling, absorption chillers are widely utilized.…”

Section: Introductionmentioning

confidence: 99%

Energy and Cost Analysis and Optimization of a Geothermal-Based Cogeneration Cycle Using an Ammonia-Water Solution: Thermodynamic and Thermoeconomic Viewpoints

Javanshir

Kordlar

et al. 2020

Sustainability

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A cogeneration cycle for electric power and refrigeration, using an ammonia-water solution as a working fluid and the geothermal hot water as a heat source, is proposed and investigated. The system is a combination of a modified Kalina cycle (KC) which produces power and an absorption refrigeration cycle (ARC) that generates cooling. Geothermal water is supplied to both the KC boiler and the ARC generator. The system is analyzed from thermodynamic and economic viewpoints, utilizing Engineering Equation Solver (EES) software. In addition, a parametric study is carried out to evaluate the effects of decision parameters on the cycle performance. Furthermore, the system performance is optimized for either maximizing the exergy efficiency (EOD case) or minimizing the total product unit cost (COD case). In the EOD case the exergy efficiency and total product unit cost, respectively, are calculated as 34.7% and 15.8$/GJ. In the COD case the exergy efficiency and total product unit cost are calculated as 29.8% and 15.0$/GJ. In this case, the cooling unit cost, c p , c o o l i n g , and power unit cost, c p , p o w e r , are achieved as 3.9 and 11.1$/GJ. These values are 20.4% and 13.2% less than those obtained when the two products are produced separately by the ARC and KC, respectively. The thermoeconomic analysis identifies the more important components, such as the turbine and absorbers, for modification to improve the cost-effectiveness of the system.

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Advanced exergy analysis of the Kalina cycle applied for low temperature enhanced geothermal system

Cited by 187 publications

References 33 publications

Advanced exergy analysis for a bottoming organic rankine cycle coupled to an internal combustion engine

Advanced exergy analysis for a bottoming organic rankine cycle coupled to an internal combustion engine

Optimization of a cavern‐based compressed air energy storage facility with an efficient adaptive genetic algorithm

Energy and Cost Analysis and Optimization of a Geothermal-Based Cogeneration Cycle Using an Ammonia-Water Solution: Thermodynamic and Thermoeconomic Viewpoints

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