A New Algorithm for the Design of Site Utility for Combined Production of Power, Freshwater, and Steam in Process Industries

Author:

Ghiasi Mahdi1,Khosgoftar Manesh Mohammad Hasan2,Lari Kamran1,Salehi Gholamreza3,Torabi Azad Masoud1

Affiliation:

1. Department of Energy System Engineering, North Tehran Branch, Islamic Azad University, Tehran 1651153311, Iran

2. Energy, Environment and Biologic, Research Lab (EEBRlab);, Division of Thermal Sciences and, Energy Systems;, Department of Mechanical Engineering;, Faculty of Technology & Engineering;, Center of Environmental Research, University of Qom, Qom 3716146611, Iran

3. Department of Mechanical Engineering, Central Tehran Branch, Islamic Azad University, Tehran 1469669191, Iran

Abstract

Abstract Site utility, without a doubt, is one of the major units in process industries that consumed a lot of fossil fuels and significantly emitted emission pollution. In this paper, a systematic procedure was proposed to optimize the utility system's design and integration based on a targeting approach as process integration technique, exergetic, exergoeconomic, exergoenvironmental analysis associated with life cycle assessment (LCA), and multi-objective optimization through water cycle and genetic algorithms. Total site analysis was performed to provide an essential understanding of the equipment's characteristics and interactions in the site utility system. It also aims for power production and the temperature of the boiler and each steam level with acceptable accuracy. Furthermore, the exergetic, exergoeconomic, and exergoenvironmental analyses were presented to declare the effects of irreversibility, economic, and environmental impacts on the system. In this paper, to show the proposed method's applicability, the optimal design of a site utility associated with a petrochemical complex has been considered. First, the optimal design is performed based on minimization of total annualized costs (TAC) as one-objective function through star software, genetic algorithm (GA), water cycle algorithm (WCA), proposed GA, and proposed WCA method. In the next phase, the optimal design is done based on MOGA, MOWCA, proposed MOGA, and proposed MOWCA methods based on maximum exergetic efficiency, and freshwater production, and minimization of exergetic cost, and total environmental exergetic impact. Results show by using the new procedure, the optimum solution has been achieved by a significant reduction of computational time.

Publisher

ASME International

Subject

Geochemistry and Petrology,Mechanical Engineering,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

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