International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 07 | July 2023
p-ISSN: 2395-0072
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Optimization of Organic Rankine Cycle’s thermal efficiency based on Grey relational analysis with Taguchi method Jayesh Choudhary 1, Purushottam Sahu2, Ghanshyam Dhanera 3 1 Research Scholar, BM College of Technology, Indore
2Professor and HEAD, BM College of Technology, Indore
3 Assistant Professor, BM College of Technology, Indore, MP
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Abstract - For the statistical analysis in this study, the
can be used to examine the impact of various factors on the ORC system's thermal efficiency.
following 9 basic process parameters were chosen: working fluid type, heat exchanger efficiency, pinch point temperature differential in the evaporator and condenser, superheating temperature, evaporation temperature, and condensation temperature. The methodology employed was based on the Organic Rankine Cycle (ORC), where 9 tests were conducted using Taguchi's normal l9 orthogonal array. Subsequently, multi-response optimization was performed using principal component and grey relational analyses.
Grey relational analysis is a technique for examining the connection between several variables and their effects on a specific result. The Taguchi technique, on the other hand, is a statistical strategy that enhances a system's performance by pinpointing the important variables that cause variability. To analyse the relevant factors affecting the ORC's thermal efficiency using the Taguchi method and Grey relational analysis, you would typically.
A comprehensive statistical analysis was conducted to assess the impact of these parameters on the efficiencies of the ORC system. To validate the results, confirmation tests were carried out, demonstrating good agreement between the predicted and experimental values of the response variables at the optimum combination of input parameters.
The Taguchi method is a statistical approach that allows for the evaluation of the significance of different factors in relation to the objective function. This method can be applied in experiments, theoretical analysis, and numerical simulations to examine the effects of various parameters on the exergy and thermal efficiency of the Organic Rankine Cycle (ORC).
The optimum operating conditions for the ORC system were identified as A1B1C3D3E3F3G1H3I3, while the worst operating conditions were A3B3C1D1E1F1G3H1I1, both within the range of the analyzed operating conditions. The first law efficiencies of the system were determined to be 17.3% for the best case and 9.6% for the worst case.
Considering the growing urgency of climate-related issues, there is a need for further research on the ORC system's environmental performance, its role in emission reduction, and its integration within low-carbon energy scenarios. When designing optimization objectives, it is recommended that researchers consider thermodynamic, economic, and environmental performance in conjunction. Additionally, working fluids can also be evaluated based on safety indicators, besides other criteria.
This study provides a ranking of the ORC process parameters based on their statistical impact weight, highlighting which parameters are effective and ineffective in relation to the system's efficiencies. Regenerate response
In recent years, the development of Organic Rankine Cycles (ORCs) has played a significant role in the expansion of commercial geothermal power utilization. This technology, particularly in the context of lowtemperature geothermal energy, has opened new possibilities for its application.
Key Words:
Grey relation analysis, Organic Rankine Cycle; Thermal Efficiency; Taguchi Method; ANOVA
1. INTRODUCTION
To determine the optimal working fluid pairs for ORC systems, a multi-objective optimization approach was employed, considering 26 working fluid options. For simple ORC systems, a multi-objective optimization was conducted using exergy efficiency and levelized energy cost as the objective functions, with the aim of obtaining the most favorable results.
The Organic Rankine Cycle (ORC) is a thermodynamic process that converts low-temperature heat sources into electricity by using an organic working fluid. An ORC system's thermal efficiency is influenced by a number of factors. The Taguchi method and grey relational analysis
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