An Optimal Energy Consumption Scheduling Algorithm for Dump Trucks in Mines

• Published in: Chinese Control Conference pp. 2033 - 2038
• Main Authors: Zhu, Desheng, Chen, Yunchao, Huang, Zhipeng, Ke, Xiaotian, Yang, Kehu
• Format: Conference Proceeding
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 24.07.2023
• Subjects: Data models; dump trucks; energy consuming; Energy consumption; fuel consumption model; Industries; Job shop scheduling; Materials handling; Open-pit mine; Scheduling algorithms; specific fuel consumption; Transportation
• ISSN: 1934-1768
• DOI: 10.23919/CCC58697.2023.10241097

In open-pit coal mining, energy utilization is mainly focused on vehicular transportation, with dump trucks contributing to approximately 32.5% of energy consumption. Therefore, adopting fuel-saving scheduling can effectively reduce overall energy consumption. However, the lack of a practical fuel model and a rational mine scheduling model hampers the achievement of optimal energy consumption scheduling. In this paper, we present a novel algorithm for optimal energy consumption scheduling, which integrates a fuel consumption model that employs the Comprehensive Modal Emission Model (CMEM) method and a scheduling approach that considers the acceleration and deceleration processes. The effectiveness of the suggested truck scheduling model and real-time fuel consumption model approach was validated using actual operational data from dump trucks. The mine transport system is estimated to have an average specific fuel consumption (SFC) of 99.9 g/t, and the results of the case indicate a possible fuel savings of 5.5%.