{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T10:00:14Z","timestamp":1785405614395,"version":"3.56.0"},"reference-count":0,"publisher":"European Alliance for Innovation n.o.","license":[{"start":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T00:00:00Z","timestamp":1784592000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["EAI Endorsed Trans Energy Web"],"abstract":"<jats:p>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.\nOBJECTIVES: The algorithm simultaneously optimizes three different objectives as follows: (1) economic cost; (2) carbon emission; and (3) power fluctuation (stability).\nMETHODS: To accomplish the objective of creating an optimal microgrid configuration, the IMOPSO was used to solve the microgrid model.\nRESULTS: 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.\nCONCLUSION: 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.<\/jats:p>","DOI":"10.4108\/ew.13144","type":"journal-article","created":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T12:10:14Z","timestamp":1784635814000},"source":"Crossref","is-referenced-by-count":0,"title":["Analysis of optimal scheduling and energy-saving measures for shipyard microgrid based on IMOPSO algorithm"],"prefix":"10.4108","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9915-378X","authenticated-orcid":true,"given":"Weipeng","family":"Li","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00tyjp878","id-type":"ROR","asserted-by":"publisher"}],"name":"Jiangsu University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Du","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00tyjp878","id-type":"ROR","asserted-by":"publisher"}],"name":"Jiangsu University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1707-4589","authenticated-orcid":true,"given":"Jiao","family":"Wang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00tyjp878","id-type":"ROR","asserted-by":"publisher"}],"name":"Jiangsu University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3223-9035","authenticated-orcid":true,"given":"Tong","family":"Fu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00tyjp878","id-type":"ROR","asserted-by":"publisher"}],"name":"Jiangsu University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sitong","family":"Zhu","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00tyjp878","id-type":"ROR","asserted-by":"publisher"}],"name":"Jiangsu University of Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2587","published-online":{"date-parts":[[2026,7,21]]},"container-title":["EAI Endorsed Transactions on Energy Web"],"original-title":[],"link":[{"URL":"https:\/\/publications.eai.eu\/index.php\/ew\/article\/download\/13144\/4199","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/publications.eai.eu\/index.php\/ew\/article\/download\/13144\/4199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T12:10:15Z","timestamp":1784635815000},"score":1,"resource":{"primary":{"URL":"https:\/\/publications.eai.eu\/index.php\/ew\/article\/view\/13144"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,21]]},"references-count":0,"URL":"https:\/\/doi.org\/10.4108\/ew.13144","relation":{},"ISSN":["2032-944X"],"issn-type":[{"value":"2032-944X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,21]]}}}