This paper focuses on the conventional Goswami cycle, whose capacity to convert any waste heat source into useful outputs depends significantly on the quantity of vapor present at its turbine inlet. Clearly, any modification to increase the vapor generation will enhance the cycle performance. To achieve this, a distillation unit is added in the setup to generate additional vapor from the leftover working solution after the vapor extraction step in the conventional cycle. On comparing with the conventional setup, this modification has improved the total output/exergy efficiency from 31.28 kW/31.37% to 43.55 kW/32.68%, respectively. A single objective optimization is then performed on this modified setup, which reveals that it contains conflicting objectives. Based on this characteristic, a multi-objective dragonfly algorithm along with entropy-weighted TOPSIS decision method is used to obtain the best solution, which is 43.22 kW (turbine output), 10.54 kW (cooling output) and 31.48% (exergy efficiency).

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An Improved Goswami Cycle Assisted by a Distillation Unit: A Comparison and Optimization Study

  • Adityabir Singh,
  • Ranjan Das

摘要

This paper focuses on the conventional Goswami cycle, whose capacity to convert any waste heat source into useful outputs depends significantly on the quantity of vapor present at its turbine inlet. Clearly, any modification to increase the vapor generation will enhance the cycle performance. To achieve this, a distillation unit is added in the setup to generate additional vapor from the leftover working solution after the vapor extraction step in the conventional cycle. On comparing with the conventional setup, this modification has improved the total output/exergy efficiency from 31.28 kW/31.37% to 43.55 kW/32.68%, respectively. A single objective optimization is then performed on this modified setup, which reveals that it contains conflicting objectives. Based on this characteristic, a multi-objective dragonfly algorithm along with entropy-weighted TOPSIS decision method is used to obtain the best solution, which is 43.22 kW (turbine output), 10.54 kW (cooling output) and 31.48% (exergy efficiency).