DOI: 10.28979/jarnas.1197546 ISSN:

Development of Maintenance Cost Correlation of Small Hydro Power Plant using Optimization

Soner ÇELİKDEMİR, Mahmut Temel ÖZDEMİR
  • General Medicine
Show PDF Cite
In this study, a new equation model is proposed to improve the maintenance costs of small scale hydroelectric power plants (SHPP). The proposed equation model consists of 4 terms and 7 parameters using the Chaos Embedded Adaptive Particle Swarm Optimization (CEAPSO). In this case, the main error value for 14 maintenance items required for a SHPP was calculated as 17.4819%. The maintenance cost of a SHPP to be installed in this way can be predicted with high accuracy using the proposed equation model. In the study, the sensitivity analysis of the proposed equation model was also performed, and maintenance cost changes were expressed in different parameter values. In the study, corrected data from 8 SHPP in India were used. These data cover the maintenance costs of all components for the years 2015-2016. In the study, unlike the literature, the flow parameter was added to the power and head parameters. In this way, a more sensitive equation model was developed for SHPP data. In addition, realistic results were obtained by applying constraints to the parameters. Considering the 14 different maintenance cost parameters examined in the study, a correlation model was proposed to give better results than the literature for other maintenance costs except the power channel and penstock cost.

More from our Archive