Work

An Improved NSGA‐III With Hybrid Crossover Operator for Multi‐Objective Optimization of Complex Combined Cooling, Heating, and Power Systems

Year: 2025

Type: article

Abstract: ABSTRACT Traditional combined cooling, heating, and power (CCHP) systems are highly efficient in energy utilization but face challenges such as high operational costs, CO 2 emissions, and complex scheduling. In traditional CCHP systems, typically used in large commercial settings like hospitals or shopping centers, daily operational costs can exceed $1500, and CO 2 emissions often surpass 1.5 tons, limiting broader adoption. This study introduces an improved CCHP system (CCHP‐Plus), which integrates photovoltaic thermal (PV/T) technology and energy storage equipments (ESEs) to mitigate these issues. PV/T collectors generate both electricity and heat, reducing natural gas dependence, while ESE balances energy supply and demand for enhanced management. The effectiveness of CCHP‐Plus is assessed using three key indicators: primary energy consumption, operational cost, and CO 2 emissions. NSGAIII‐AC‐GM delivers a 20% reduction in operational costs and a 10% decrease in CO 2 emissions, outperforming seven other algorithms in optimization efficiency on DTLZ and IMOP problems. Furthermore, the algorithm demonstrates superior performance across four CCHP‐Plus scenarios, making it a promising solution for sustainable energy systems. These findings offer valuable numerical insights, showcasing the system's potential for real‐world applications.

Source: Energy Science & Engineering

DOI: 10.1002/ese3.2039

Authors: Lejie Ma, Dexuan Zou

Institution: Jiangsu Normal University

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: gold

Estimated APC paid: $2,780