Editorial
Analysis of optimal scheduling and energy-saving measures for shipyard microgrid based on IMOPSO algorithm
@ARTICLE{10.4108/ew.13144, author={Weipeng Li and Jun Du and Jiao Wang and Tong Fu and Sitong Zhu}, title={Analysis of optimal scheduling and energy-saving measures for shipyard microgrid based on IMOPSO algorithm}, journal={EAI Endorsed Transactions on Energy Web}, volume={13}, number={1}, publisher={EAI}, journal_a={EW}, year={2026}, month={7}, keywords={Microgrid Optimization, MOPSO Algorithm, Shipyard Energy Consumption, Energy-saving Measures, Multi-objective Trade-offs}, doi={10.4108/ew.13144} }- Weipeng Li
Jun Du
Jiao Wang
Tong Fu
Sitong Zhu
Year: 2026
Analysis of optimal scheduling and energy-saving measures for shipyard microgrid based on IMOPSO algorithm
EW
EAI
DOI: 10.4108/ew.13144
Abstract
INTRODUCTION: This research study presents the development of a microgrid system specifically designed for a shipyard environment based on the energy consumption characteristics of major shipyard equipment. OBJECTIVES: The algorithm simultaneously optimizes three different objectives as follows: (1) economic cost; (2) carbon emission; and (3) power fluctuation (stability). METHODS: To accomplish the objective of creating an optimal microgrid configuration, the IMOPSO was used to solve the microgrid model. RESULTS: Results indicate that there are considerable trade-offs between economic cost versus carbon emission and between economic cost versus power fluctuation, which require optimally balanced approaches in order to meet all the different objectives. Among various energy-saving measures, the adoption of the dehumidification system with heat recovery wheel proves especially effective in reducing power consumption, economic cost and carbon emission. CONCLUSION: Pareto front analysis reveals that the weak emission-fluctuation conflict creates an opportunity to effectively balance the critical cost-emission trade-off for obtaining superior solutions. Equipment energy-saving measures, particularly the dehumidification with heat recovery and hybrid welding, significantly improve the microgrid's economic and environmental performance.
Copyright © 2026 Weipeng Li et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
