4.7 Article

A potent numerical model coupled with multi-objective NSGA-II algorithm for the optimal design of Stirling engine

期刊

ENERGY
卷 247, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.123468

关键词

Stirling engine; Modeling; Multi-objective optimization; NSGA-II; GPU-3; Design

资金

  1. National Key Research and Development Program of China [2016YFB0901403]
  2. National Natural Science Foundation of China [51876214]
  3. Alliance of International Science Organization (ANSO)

向作者/读者索取更多资源

This article proposes a novel numerical model that combines a strong loss mechanism and the NSGA-II algorithm for the Stirling engine. Multi-objective optimization is performed on the GPU-3 Stirling engine using the NSGA-II algorithm, aiming to minimize losses and increase power output and efficiency. The optimization results are compared with experimental results, and the model is also applied to optimize the design of a beta-type free piston Stirling engine.
In this article, a novel numerical model of the Stirling engine encompassing a potent loss mechanism coupled with the NSGA-II algorithm is proposed. Multi-objective optimization of GPU-3 Stirling engine was performed using a class of genetic algorithms, namely NSGA-II, with five decision variables to minimize the losses and increase the power output and efficiency of the GPU-3 engine. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Combinative Distance-based Assessment (CODAS) decision-making approaches were used to obtain the optimum solution from Pareto optimal space. Furthermore, the optimization results were compared with the experimental results of the GPU-3 Stirling engine. Results from the multi-objective optimization effort indicate that output power increases by approx. 500 W and efficiency enhances by approx. 5%, whereas losses decrease by 516 W. Later, to demonstrate the model's design capability, the developed model and optimization approach, i.e. (NSGA-II), is utilized to develop an optimal design of a beta-type free piston Stirling engine (FPSE) with an indicated power of 10 kW. After optimizing a combination of twelve operating and geometric parameters, the Stirling engine that yields a net power output of about 7.95 kW with a thermal efficiency of about 30% is developed. This work presents a novel and powerful numerical method for the optimal design of Stirling engine. (C) 2022 Elsevier Ltd. All rights reserved.

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