Work

Enhancing Grid Independence and Profitability for Steelmakers Through Optimized Solar Consumption

Year: 2026

Type: article

Abstract: The iron and steel sector, a major global emitter, requires innovative strategies to achieve decarbonization. This study introduces a novel multi-method framework designed to maximize solar energy integration within steel plants. The approach synergizes three core elements: a Bayesian model for probabilistic solar forecasting, a dynamic system for aligning flexible production loads with renewable generation, and a Stackelberg game model to optimize economic participation in energy markets. When applied to a representative facility, the framework achieved a 37.5% solar penetration rate, drastically cutting grid dependence and operational costs without disrupting production. The findings validate a viable pathway for heavy industry to harmonize economic and environmental goals, with future work poised to integrate energy storage and detailed carbon accounting.

Source: Energies

DOI: 10.3390/en19030803

Authors: Bin Li, Samrawit Bzayene Fesseha, Bing Qi, Songsong Chen, Feixiang Gong

Institutions: North China Electric Power University, China Electric Power Research Institute

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: gold

Estimated APC paid: $3,137