<p>This research employs a systematic design of experiments (DOE) methodology to maximize the energy and exergy efficiency of a Pelton turbine. The four main operational parameters, namely inlet pressure, shaft load, flow rate, and water temperature, were examined to ascertain their influence on the turbine energy and exergy efficiencies. The results show that inlet pressure, shaft load, and water temperature are the most significant parameters affecting turbine efficiency, while flow rate also contributes to performance optimization but with a relatively lower impact. A maximum energy efficiency of 84.25% and exergy efficiency of 73.52% were obtained at 87.8&#xa0;kPa inlet pressure, 16.9&#xa0;N shaft load, 32.5&#xa0;L&#xa0;min<sup>−1</sup> flow rate, and 49.8&#xa0;°C water temperature. This research illustrates how DOE and response surface methodology (RSM) are useful in optimizing the performance of the Pelton turbine. The novel aspect of this study is that it considers both first-law and second-law efficiency in a multi-variable optimization problem. The results are useful in the field of enhancing the efficiency of turbines and can justify more sustainable hydropower.</p>

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Experimental optimization and modeling of Pelton turbine performance with emphasis on energy and exergy efficiency

  • Faizan Ahmed

摘要

This research employs a systematic design of experiments (DOE) methodology to maximize the energy and exergy efficiency of a Pelton turbine. The four main operational parameters, namely inlet pressure, shaft load, flow rate, and water temperature, were examined to ascertain their influence on the turbine energy and exergy efficiencies. The results show that inlet pressure, shaft load, and water temperature are the most significant parameters affecting turbine efficiency, while flow rate also contributes to performance optimization but with a relatively lower impact. A maximum energy efficiency of 84.25% and exergy efficiency of 73.52% were obtained at 87.8 kPa inlet pressure, 16.9 N shaft load, 32.5 L min−1 flow rate, and 49.8 °C water temperature. This research illustrates how DOE and response surface methodology (RSM) are useful in optimizing the performance of the Pelton turbine. The novel aspect of this study is that it considers both first-law and second-law efficiency in a multi-variable optimization problem. The results are useful in the field of enhancing the efficiency of turbines and can justify more sustainable hydropower.