Optimal heat treatment furnace based on new robust point approximation strategy

Abstract

In this work, a new model of air to air heat pump (AAHP) using industrial continuous heat treatment furnace (ICHTF) that runs by wind generation and solar Stirling engine are presented. The suggested approach for making fire includes an internal and an external airflow fans, extension valve, compressor, condenser, and evaporator to provide energy with temperature higher than 1000 K for thermal demands. While the combustion reactions is happening, AAHP does not provide thermal energy; it is moved from the environment to furnace section. Accordingly, application of wind, solar and AAHP not only decreases the emission and ozone depleting substances, but also significantly rises the saving rate in electricity and petroleum products consumptions. The paper presents a mathematical approach, that utilizes energy and exergy, which is used for modeling the suggested ICHTF in presence of green energy, e.g. solar, wind and air. The proposed method is compared with different optimization algorithms. In addition, a robust periodic optimization technique for economic issues is presented for minimization of the overall energy supplement costs utilizing the predicted wind velocity as the problem input and considering the higher and lower bounds of wind energy for simulating wind volatility. Obtained results proof the validity of proposed model.