Abstract
The present study aims to develop a thermoeconomic-based approach for optimization of steam levels in a steam production and distribution system by use of the specific exergy costing (SPECO) method for determining optimum steam levels to minimize the cost caused by exergy destruction. In the field of total site optimization, incremental cost of the utility system caused by exergy destruction has been selected as an objective function and the result is compared with the case that energy minimization has been selected as the prime objective. The steam levels are optimized considering steam demand at each level, output power generated by turbines, boiler duty, fuel and cold utility requirements as well as capital cost of equipments. The analysis showed that thermoeconomic (exergoeconomic) approach in optimization not only can change the optimum structure of steam levels but also may reduce the total cost of utility system up to 8%.
Highlights
In recent years, many practical and theoretical studies have been conducted on optimization of energy-intensive sectors of chemical processes such as utility systems, separation sections and heat exchanger networks
The current paper is based on transshipment, and a mixed integer non linear problem (MINLP) model with constraints based on energy and exergy equations for the optimization of steam generation and distribution network in a total site
Exergoeconomics approach has the capability to provide the designer with a thorough understanding of the system in order to develop a cost effective structure
Summary
Many practical and theoretical studies have been conducted on optimization of energy-intensive sectors of chemical processes such as utility systems, separation sections and heat exchanger networks. Shang and Kokossis [8], proposed a transshipment model of a steam network which uses a boiler hardware model (BHM) and a turbine hardware model (THM) Their proposed model was MILP that used constraints based on energy equations. An exergoeconomic analysis and optimization for a cogeneration system was done by Sahoo [12] He improved the performance of the system in a cost effective way using evolutionary programming. The formulations for the cost of products, and cost formation and allocation within the system were developed based on exergoeconomic analysis (energy and exergy). The current paper is based on transshipment, and a MINLP model with constraints based on energy and exergy (exergoecononmic) equations for the optimization of steam generation and distribution network in a total site.
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