A hybrid intelligent optimization algorithm for long-term production planning of open-pit mine considering carbon reduction plan

Abstract

This study quantifies the carbon emission and its cost in the production process of open-pit mines, explores the influence of carbon emission reduction on the long-term production planning, and provides an optimal long-term production plan for open-pit mines under the background of carbon neutrality. It aims to maximize the total net present value of the mine and constructs a mathematical model for long-term production planning that integrates the carbon emission reduction plan and its associated costs. A hybrid intelligent optimization algorithm (PSBKA), based on the Particle Swarm Optimization Algorithm (PSO) and the Black-Winged Kite Optimization Algorithm (BKA), is developed. The algorithm first uses PSO to optimize the model for the primary objective and then utilizes a set of new solutions generated through a random disturbance strategy as the initial solution for BKA, performing secondary optimization on the model. An application study is conducted using a copper mine located in Arizona, USA. The results indicated that formulating and implementing a carbon emission reduction plan significantly influences long-term production planning in open-pit mining. The carbon emission reduction cost represents approximately 7 % of the mine's overall economic benefits. Compared to traditional methods, the proposed planning approach reduces the carbon emission reduction cost by $15,805 and increases the net present value by $253,811, providing an improved long-term production planning scheme for the mine.