Article: Energy efficiency optimisation of port clusters based on improved NSGA-III multi-objective criteria Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.38 pp.42 - 62 Abstract: Optimising port cluster energy systems is essential for balancing economic and ecological goals. Challenges like energy mismatch and multi-energy coordination are difficult for traditional models to solve. An improved NSGA-III algorithm - with adaptive crossover and dynamic reference points - enhances solution quality for high-dimensional problems like cost, emissions, and efficiency. Applied to a coastal port's integrated energy system, it optimised capacity across seasonal scenarios. Results showed an 18.5% cost reduction, 23.7% lower CO<SUB align="right"><SMALL>2</SMALL></SUB> intensity, and 15.2% higher energy efficiency. Dynamic pricing in berth allocation further saved $1.013 million annually and increased shore power use by 34.6%. The algorithm also proved more efficient and robust in tests. Ship simulations confirmed additional energy savings, demonstrating synergy between energy and traffic flow optimisation. Inderscience Publishers - linking academia, business and industry through research

Title: Energy efficiency optimisation of port clusters based on improved NSGA-III multi-objective criteria

Authors: Jia Zhou

Addresses: Guangzhou Huali College, Guangdong, 511300, China

Abstract: Optimising port cluster energy systems is essential for balancing economic and ecological goals. Challenges like energy mismatch and multi-energy coordination are difficult for traditional models to solve. An improved NSGA-III algorithm - with adaptive crossover and dynamic reference points - enhances solution quality for high-dimensional problems like cost, emissions, and efficiency. Applied to a coastal port's integrated energy system, it optimised capacity across seasonal scenarios. Results showed an 18.5% cost reduction, 23.7% lower CO₂ intensity, and 15.2% higher energy efficiency. Dynamic pricing in berth allocation further saved $1.013 million annually and increased shore power use by 34.6%. The algorithm also proved more efficient and robust in tests. Ship simulations confirmed additional energy savings, demonstrating synergy between energy and traffic flow optimisation.

Keywords: port cluster energy system; improved NSGA-III algorithm; multi-objective optimisation; energy flow efficiency; carbon emission intensity.

DOI: 10.1504/IJICT.2026.153304

International Journal of Information and Communication Technology, 2026 Vol.27 No.38, pp.42 - 62

Received: 11 Sep 2025
Accepted: 02 Dec 2025
Published online: 01 May 2026 *

Title: Energy efficiency optimisation of port clusters based on improved NSGA-III multi-objective criteria

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