Multi-Objective Optimization Strategy for Integrated Energy System Considering Mixed Participation of Aluminum Electrolysis and Hydrogen Production Industries
Year: 2025
Type: article
Abstract: Industrial parks engaged in energy-intensive processes, such as aluminum electrolysis and hydrogen production, face significant challenges in enhancing cost-effectiveness and reducing carbon emissions. While integrated energy systems (IESs) have been widely studied, most research has focused on residential or commercial areas, leaving a gap in addressing the unique complexities of industrial parks. Addressing the above issues, this paper establishes a novel IES for industrial parks with aluminum electrolysis and hydrogen production as the main activities. In order to better absorb new energy sources and reduce carbon emissions, the proposed model introduces hydrogen production in electrolysis tanks, hydrogen storage tanks, and hydrogen fuel cells. Additionally, an optimization method for aluminum electrolysis load curves is developed, which significantly reduces system operating costs by optimizing load distribution. In some cases, this approach can lower operating costs by up to 7.62%. This paper also proposes an objective function with a penalty weight, which can flexibly adjust carbon emissions and operating costs according to actual needs. Under an appropriate weight, carbon emissions decrease by 11.61% and operating costs drop by 34.53% versus their peak values. Simulation results show that the proposed method is flexible enough to achieve a balanced operation of the industrial park in terms of operating costs and carbon emissions.
Source: Energies
DOI: 10.3390/en18236109
Authors: Jinkun Wang, Wei Liu, Baohua He, Zhendong Cao, Gang Liu, Bin Chuan, Qiang Zhang, Yue Cao
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7106515443