Fundamental Study on Influence of Independent Factors on Response Variable Using Response Surface Methodology and Taguchi Method †.

Autor: Kamalakannan, Venkatesan, Rajaram, Srinivasan, Iyyadurai, Jenish, Arockiasamy, Felix Sahayaraj
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Zdroj: Engineering Proceedings; 2024, Vol. 61, p37, 8p
Abstrakt: Optimization approaches provide a strong foundation for analyzing and forecasting actions within a selected domain. This approach may be used to assess the extent of the effect of input variables on responses. There are several optimization tools and methodologies available, but each has its numerical approach and degree of accuracy with experimental data. As a result, several optimization methods are constantly evolving, and many new studies have focused on them. This study analyzes new optimization approaches employed to handle the issue of the location and size of distributed generating units for diverse applications, particularly focusing on tribological aspects. In addition, this work examines the modern technological, technical, economic, and regulatory factors that have created interest in distributed generation integration, as well as an overview of the challenges that must be overcome. Finally, it evaluates all relevant strategies for integrating dispersed generation from renewable energy sources using optimization techniques. The main methods of Response Surface Methodology (RSM) and the Taguchi optimization technique were chosen because they have been used in many technical investigations and provide more significant predictions. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index