Optimization of steam distribution network at the cooking plant: experimental and numerical study

Farhad Hekmatipour,Farzad Hekmatipour,Milad Jalali

doi:10.17485/ijst/2019/v12i7/139985

Abstract

Objectives: The distribution of steam networks at cooking plant is determined experimentally and numerically in this research. Methods: Both methods of numerical and experimental study was carried out on the optimization of oxygen, steam load as well as stack temperature. The gadgets used for empirical study were combustion gases, stack gas temperature sensor, steam flow meter, and Oxygen (O2 ) sensors. GAMS software and EVIEWS software were used to model and optimize the steam network. The result of numerical and experimental was compared and the evaluation was presented. Findings: Experimental study shows that the steam networks decrease dramatically in a boiler and once illustrates that steam network arrived zero in a boiler. This circumstance expresses two boiler can be determined 79931.28 and 77350.36, respectively. The sum of two boilers is 157281.64 kg/s. This condition leads to decreasing the energy consumption in an empirical result. The amount of energy consumption in two boiler arrived 84437.47 and 54321.63, respectively. The sum of the energy consumption was 138759.1 Kw. The numerical model shows that both steam load declined 78471.41 and 77786.49, respectively. Energy consumption in two boilers decline to reach 84580.31 and 53514.77, respectively. Application: We compared the experimental and numerical model in this project. The deviation of the experimental and numerical model is less than 8%. It means the results are reliable and the model can be used for simulation of the steam load in process engineering in small industries. The operating cost decreases up to 167686882.9$ per annum. The best way to improvement is the use of NMLP in this project because the NMLP has more reliable. Keywords: Controlling Steam Volume, Furness, Optimization, Process Engineering

Highlights

Nowadays, steam networks are widely used in several industrial applications such as petrochemical, cooking plant, power plant, heating, air-conditioning and oil and gas
A Mixed-integer Nonlinear Programming (MINLP) model based on an improved modelling principle of the complex turbine was formulated for the operation optimization of ICSTUN
The optimization of a single utility plant yields a maximum coal reduction rate of 4.59% and the optimization of the total utility system consisting of two utility plants yields a maximum coal reduction rate of 6.01%14

Summary

Introduction

Steam networks are widely used in several industrial applications such as petrochemical, cooking plant, power plant, heating, air-conditioning and oil and gas. Utility optimization system has been conducted by using mixed integer linear programming and all possible operational models and various types of objective functions have been considered to minimize the flexibility and usefulness of the optimization system[9]. A Mixed-integer Linear Programming model is developed which includes four parts: Production planning for materials, energy requirements of process units on the basis of pinch analysis, operational planning for utility systems and balance of utility streams in total sites. A coupling mixed integer nonlinear programming model is presented in this work to integrate process plants and utility systems; the objective is to minimize the energy costs to meet the requirements of the process operations and to maintain a steam balance in the total site[18,19].

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Findings

Discussion

Conclusion