Synthesis and optimization of utility system using parameter adaptive differential evolution algorithm

Synthesis and optimization of utility system usually involve grassroots design, retrofitting and operation optimization, which should be considered in modeling process. This paper presents a general method for synthesis and optimization of a utility system. In this method, superstructure based mathematical model is established, in which different modeling methods are chosen based on the application. A binary code based parameter adaptive differential evolution algorithm is used to obtain the optimal configuration and operation conditions of the system. The evolution algorithm and models are interactively used in the calculation, which ensures the feasibility of configuration and improves computational efficiency. The capability and effectiveness of the proposed approach are demonstrated by three typical case studies.

Graphic abstractThe figure shows the super-structure of the utility system in a chemical plant. Steam in this system can be generated in three different types of boilers: a) heat recovery steam generator, recovering heat contained in gas turbine or furnace exhaust gases; b) fuel boiler, generating different level pressure steam by burning fuel; c) waste heat boiler, recovering heat form process units such as chemical reactors. Then, steam is collected by steam header and distributed to steam consumers, such as steam turbines, letdown valves and production process. The external and internal power demands can be satisfied by gas turbines, steam turbines. Gas turbines are usually used to constitute a cogeneration system, which is known as an energy efficient system. Steam turbines are usually used to supply mechanical power demands or generate electricity for electric motor.Figure optionsDownload full-size imageDownload as PowerPoint slide