Similar Items: Defining and quantifying ventilation modelling error for deep-level mines
- Identifying water wastage in deep-level mines using novel simulation-based zero-waste baselines
- A new simulation-based methodology for pro-active planning in deep-level mine ventilation systems to identify and mitigate hazards
- Developing a compressed air benchmark approach to be used as a metric to identify ventilation shortfalls
- Determining the physical and economic impact of environmental design criteria for ultra-deep mines
- Improving energy cost savings in a complex dewatering system of a deep-level mine using machine learning
- Developing a demand-driven compressed air management system for energy efficiency in deep-level gold mining
Author: Schutte, Cornelius Stephanus Lodewyk
- Defining and quantifying ventilation modelling error for deep-level mines
- Developing a compressed air benchmark approach to be used as a metric to identify ventilation shortfalls
- The employee flourishing strategic framework
- A method to apply artificial intelligence techniques to deep-level mine service control systems to realise energy cost savings.
- Adaptive games for learner and systems (bidirectional) learning
- Identifying water wastage in deep-level mines using novel simulation-based zero-waste baselines