A NOVEL METHOD FOR PREDICTION OF GAS TURBINE POWER PRODUCTION Degree-Day Method

Ünver Ü., Kelesoglu A., Kılıç M.

THERMAL SCIENCE, vol.22, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 22
  • Publication Date: 2018
  • Doi Number: 10.2298/tsci170915015u
  • Journal Name: THERMAL SCIENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: gas turbine, degree day, prediction of energy production, ambient temperature, energy prediction, ENVIRONMENTAL-TEMPERATURE, AMBIENT-TEMPERATURE, PLANTS, OPTIMIZATION, EFFICIENCY, PERFORMANCE, PARAMETERS, FUEL
  • Bursa Uludag University Affiliated: Yes

Abstract

Gas turbines are widely used in the energy production. The quantity of the operating machines requires a special attention for prediction of power production in the energy marketing sector. Thus, the aim of this paper is to support the sector by making the prediction of power production more computable. By using the data from an operating power plant, correlation and regression analysis are performed and linear equation obtained for calculating useful power production vs atmospheric air temperature and a novel method, the gas turbine degree day method, was developed. The method has been addressed for calculating the isolation related issues for buildings so far. But in this paper, it is utilized to predict the theoretical maximum power production of the gas turbines in various climates for the first time.