EURO 2024 Copenhagen
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3620. Advancing Sustainable Mining: Integrating Renewable Energy through Optimization and Simulation

Invited abstract in session WA-22: Renewable Energy Challenges, stream Energy Management.

Wednesday, 8:30-10:00
Room: 81 (building: 116)

Authors (first author is the speaker)

1. Boda Li
DECRC, ABB
2. Chen Song
DECRC, ABB Corporate Research Center
3. Ahmed Hajji
Technical University of Munich
4. Diana Marcela Valencia Lucero
Brandenburg University of Technology Cottbus-Senftenberg

Abstract

The mining industry, recognized for its high energy consumption and carbon emissions, faces pressing demands from customers for more sustainable practices. This work outlines a comprehensive approach to integrating renewable energies, into the mining sector to address these challenges. While the potential benefits of such integration include reduced energy consumption and emissions, it also presents significant operational complexities. Mining equipment operates under intricate dynamics, and the fluctuating nature of renewable energy can complicate these operations further. Moreover, the mining industry's need for a continuous power supply necessitates that renewable energy integration is reliable and capable of meeting energy demands.
To tackle these challenges, we propose the construction of optimization problem tailored to the complex operational dynamics of mining equipment and corresponding process, aimed at minimizing energy consumption while maximizing the use of renewable energy. Given the uncertainties inherent in renewable energy production and mining operations, we employ a rolling horizon optimization approach. Additionally, we integrate discrete event simulation to describe the whole process of ore processing to overcome the issue of missing parameters, enabling more accurate estimation of critical variables in the optimization problem. Preliminary results from this integrated approach demonstrate significant promise for the mining industry.

Keywords

Status: accepted

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