Abstract
We studied Rankine power and absorption cooling cycles using a dual mixture of water and ammonia as the working fluid and power and cooling cycles generated simultaneously using a single heat source. Parametric analysis was used to assess the impacts of thermodynamic parameters on the performance of the combined cycle. The results show that increasing the superheater temperature increases the output power, the exergy efficiency, and the economic cost but reduces the thermal efficiency. On the other hand, increasing the maximum cycle pressure results in a reduction of the output power and the economic cost, but increases the pressure to 30 bar. Meanwhile, increasing the absorbent temperature decreases the output power, the exergy efficiency, the economic cost, and the thermal efficiency. By using decision-making parameters such as the superheater temperature, the absorbent temperature, and the concentration of the base mixture, the cycle can be optimized by using a genetic algorithm to achieve the maximum exergy efficiency but minimum cost. The results obtained by using the genetic algorithm reveal that, when the super heater temperature is 402 K, the absorbent temperature is 260 K, and the concentration of the base mixture is 0.54, the cycle reaches an optimum exergy efficiency of 0.758 with an economic cost of 7.699 dollars per hour.
Graphical abstract
Highlights
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We carried out a comprehensive thermal and exergoeconomic investigation on a cogeneration system including Rankine and absorption refrigeration cycles.
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The results were optimized via multiobjective Pareto optimization, considering the exergy efficiency and the economical cost as objective functions, leading to higher exergy efficiency and lower cost of the system.
Discussion
These three variables were found to be appropriate for optimization. Therefore, using the input variables of the superheater temperature, the absorber temperature, and the concentration of the base solution, the cycle was optimized, reaching a maximum exergy efficiency and minimum economical cost, by using a genetic algorithm. The results of the algorithm indicate that, when the superheater temperature is 402 K, the absorber temperature is 260 K, and the concentration of the base solution is 0.54%, the cycle was optimized with an exergy efficiency of 0.758 and an economic cost of 7.699 dollars per hour.
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HK: data curation, writing—visualization, investigation, writing—reviewing and editing, software, validation, resources, investigation. KJ: conceptualization, methodology, software, original draft preparation, data curation, writing—reviewing and editing.
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Karimi, H., Javaherdeh, K. Optimization and thermodynamic analysis of a combined power and absorption ammonia–water Rankine cycle. MRS Energy & Sustainability 11, 161–172 (2024). https://doi.org/10.1557/s43581-023-00080-0
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DOI: https://doi.org/10.1557/s43581-023-00080-0