1. Experimental Investigation of Effects of Coal Dust Contamination on Wet Bulb Temperature Measurements
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil
Publication Date
2024
Journal / Source
Indoor and Built Environment Journal
Volume / Pages
Vol. 12, No. 2; pp. 102-112
Publication Type
Journal article
Description: This article examines how coal dust contamination can distort wet bulb temperature measurements in underground and surface mining environments. The study is positioned at the intersection of mine ventilation, occupational heat-stress monitoring and instrumentation reliability. It evaluates measurement bias, identifies practical contamination mechanisms, and discusses procedures for improving field sampling accuracy when wet bulb sensors are exposed to dust-laden air streams.
2. Using the Wilcoxon-Signed-Rank Test for a Statistical Comparison of Two Surveys to Assess Safety and Risk Management in the Australian Coal Mining Industry
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Authors
Ali Soofastaei; Ray Parkin; Peter F. Knights
Publication Date
2024
Journal / Source
Computational Statistics and Data Analysis
Volume / Pages
Vol. 3, No. 1; pp. 111-115
Publication Type
Journal article
Description: This paper applies the Wilcoxon signed-rank test to compare paired survey responses related to safety and risk-management practices in the Australian coal mining industry. It demonstrates how a non-parametric statistical method can be used when survey data are ordinal, non-normal or collected from matched respondent groups. The article links statistical evidence with operational safety interpretation, helping mining organisations identify where perceived risk controls differ across surveys or stakeholder groups.
3. Reducing Fuel Consumption of Haul Trucks in Surface Mines Using Genetic Algorithm
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2024
Journal / Source
Applied Soft Computing Journal
Volume / Pages
Vol. 3, No. 1; pp. 101-118
Publication Type
Journal article
Description: This article presents a genetic-algorithm-based optimisation framework for reducing diesel consumption in surface mine haul trucks. It builds on haulage variables such as payload, speed and road resistance, then searches for operating combinations that reduce fuel burn without compromising production targets. The work is relevant to mine energy management, greenhouse-gas reduction and data-driven haulage optimisation because it translates artificial intelligence methods into actionable operational settings.
4. Investigation of Energy Efficiency in Underground Mines Hauling Operations
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Matthew De Francia; Mehmet S. Kizil; Peter F. Knights
Publication Date
2024
Journal / Source
Energy Policy Journal
Volume / Pages
Vol. 8, No. 3; pp. 201-217
Publication Type
Journal article
Description: This article investigates energy-efficiency opportunities in underground mine haulage systems, with attention to diesel consumption, production reliability and operational constraints. It evaluates how mine layout, equipment duty cycles, payload handling and route conditions influence total energy use. The discussion connects engineering-level haulage decisions with broader energy-policy and sustainability objectives, showing how underground operations can reduce cost and emissions while maintaining output.
5. Developing a Maturity Scale for Mining Performance and Maintenance Analytics
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Authors
Ali Soofastaei; Peter F. Knights; Mehmet S. Kizil; Ray Parkin
Publication Date
2023
Journal / Source
Journal of Engineering and Technology Management
Volume / Pages
Vol. 12, No. 2; pp. 51-62
Publication Type
Journal article
Description: This paper proposes a maturity scale for assessing how effectively mining companies use analytics in performance improvement and maintenance management. It frames analytics maturity through dimensions such as data availability, governance, model reliability, workflow integration and value realisation. The work is designed to help mining organisations benchmark current capability, prioritise investments and move from isolated analytics initiatives toward sustainable operational decision systems.
6. Application of Machine Learning Techniques to Predict Haul Truck Fuel Consumption in Open-Pit Mines
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Authors
Saber Alamdari; Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2022
Journal / Source
Journal of Mining and Environment
Volume / Pages
Vol. 13, No. 1; pp. 69-85
Publication Type
Journal article
Description: This article applies machine learning techniques to estimate haul truck fuel consumption in open-pit mining operations. It focuses on the relationship between operating variables, equipment behaviour and fuel use, offering a predictive modelling approach that can support energy-efficiency initiatives. The contribution is practical because it helps mine operators identify influential fuel-consumption drivers and build data-informed strategies for reducing diesel usage across truck fleets.
7. Ethical Considerations of Artificial Intelligence in Mining
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Authors
Ali Soofastaei; Edson Antonio; Jeremy Davies
Publication Date
2021
Journal / Source
Australian Resources & Investment Journal
Volume / Pages
Vol. 15, No. 1; pp. 14-17
Publication Type
Journal article
Description: This article discusses the ethical implications of artificial intelligence deployment in the mining sector. It considers issues such as workforce impact, data transparency, model accountability, automation risk and responsible decision-making. The paper is positioned as an industry-facing contribution that encourages mining leaders to treat AI not only as a productivity tool but also as a governance challenge requiring clear standards, explainability and human oversight.
8. Haul Trucks Queuing Prediction in Open Pit Mines
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Authors
Ali Soofastaei; Jeremy Davies; Edson R. S. Faria; Edson Antonio
Publication Date
2020
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 14, No. 1; pp. 28-31
Publication Type
Journal article
Description: This article addresses the operational problem of haul truck queuing in open-pit mines. It explains how queue formation affects cycle time, fleet productivity, fuel consumption and dispatch effectiveness. The paper outlines how predictive analytics can be used to anticipate congestion points and support more responsive fleet-management decisions, helping mines reduce idle time and improve the utilisation of trucks and loading units.
9. Living in a Digital World
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Authors
Ali Soofastaei; Jeremy Davies; Edson Antonio
Publication Date
2020
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 14, No. 1; pp. 34-37
Publication Type
Journal article
Description: This industry article reflects on digital transformation and its effect on mining and resource-sector decision-making. It introduces the role of data, automation, analytics and connected systems in changing how organisations manage operations. The contribution is broad but practical, highlighting why companies need digital capability, data literacy and governance structures to convert new technologies into measurable operational value.
10. Energy-Efficiency Improvement in Mine-Railway Operation Using AI
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Authors
Ali Soofastaei
Publication Date
2019
Journal / Source
Journal of Energy and Power Engineering
Volume / Pages
Vol. 13, No. 9; pp. 333-348
Publication Type
Journal article
Description: This article develops an artificial-intelligence-based look-forward control method for improving energy efficiency in mine railway operations. It models locomotive fuel consumption using neural-network methods and optimises train speed profiles with a genetic algorithm while respecting grade resistance, speed limits and travel-time constraints. The work demonstrates how AI can support lower diesel consumption in rail haulage without undermining operational performance.
11. The Application of Blockchains to Mining
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Authors
Ali Soofastaei
Publication Date
2019
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 13, No. 1; pp. 28-30
Publication Type
Journal article
Description: This article introduces blockchain concepts for mining-sector applications, especially where traceability, transaction integrity and distributed trust are important. It explains how blockchain-based records can support mineral provenance, supply-chain transparency, contract administration and trusted data exchange. The paper is written for an industry audience and positions blockchain as one component of a broader digital transformation toolkit.
12. An Innovative Method to Decrease Fuel Consumption of Haul Trucks in Surface Mines
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Authors
A. Soofastaei; J. Davies; E. R. S. Faria; E. Antonio; D. S. Fonseca
Publication Date
22 -25 October 2018
Journal / Source
Proceedings of the 7th Brazilian Conference on Intelligent Systems (BRACIS), Sao Paulo, Brazil
Volume / Pages
Conference proceedings; pp. 684-691
Publication Type
Conference paper
Description: This conference paper presents an applied intelligent-systems method for reducing haul-truck fuel consumption in surface mines. It links mine operational data with AI-based modelling to identify practical levers for fuel reduction. The work is relevant to both mining engineering and intelligent systems because it translates predictive and optimisation concepts into a high-cost, high-emissions industrial use case.
13. Integrated Optimisation Solution: An Innovative Approach to Mining Operational Success
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Authors
Ali Soofastaei; Jeremy Davies; Edson Antonio; Douglas Pimenta
Publication Date
2018
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 12, No. 2; pp. 9-13
Publication Type
Journal article
Description: This article introduces integrated optimisation as a practical pathway for improving mining performance across connected operational processes. Rather than optimising isolated activities, it argues for coordinated decision-making across planning, loading, hauling, processing and maintenance. The paper highlights the role of data analytics, simulation and cross-functional governance in converting local improvements into system-level business outcomes.
14. Development of a Maturity Scale for Mining Performance and Maintenance Data Analytics
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Authors
Ali Soofastaei; Peter F. Knights; Mehmet S. Kizil; Ray Parkin
Publication Date
2018
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 12, Issue 1; pp. 10-13
Publication Type
Journal article
Description: This article presents an industry-focused maturity scale for evaluating data analytics adoption in mining performance and maintenance. It explains how organisations can assess readiness across data collection, system integration, analytics capability, decision adoption and benefit tracking. The paper is designed to help mining leaders identify gaps that prevent analytics pilots from becoming sustainable operational capabilities.
15. Haul Truck Tire Life Improvement Using Water Cooling System
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Authors
Ali Soofastaei
Publication Date
2018
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 12, Issue 1; pp. 18-20
Publication Type
Journal article
Description: This article discusses a water-cooling approach for improving haul-truck tyre life in demanding mine haulage conditions. It examines heat generation, road conditions, payload and operating practices as contributors to tyre degradation. The article is intended to show how a relatively focused engineering intervention can influence tyre reliability, maintenance cost, safety risk and equipment availability in surface mining fleets.
16. Improving Haul Truck Availability by Braking System Failure Prediction Using Advanced Data Analytics
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Authors
Ali Soofastaei
Publication Date
2017
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 11, Issue 3; pp. 30-32
Publication Type
Journal article
Description: This article explains how advanced data analytics can be used to predict braking-system failures in mine haul trucks. It focuses on the operational value of detecting warning patterns before failures become safety events or major downtime incidents. The paper links predictive maintenance to availability improvement, showing how condition data, alarm history and operating context can be combined to guide proactive interventions.
17. The Art of Making Intelligent Decision: The Next Revolution in the Mining Industry
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Authors
Ali Soofastaei
Publication Date
2017
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 11, Issue 3; pp. 20-22
Publication Type
Journal article
Description: This article examines intelligent decision-making as a central capability for the next stage of mining transformation. It argues that data, analytics and AI must be connected to operational workflows rather than treated as isolated technical tools. The paper introduces decision intelligence as a practical concept for improving safety, productivity, cost control and strategic responsiveness in resource-sector organisations.
18. Application of Advanced Data Analytics to Improve Haul Trucks Energy Efficiency in Surface Mines
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Authors
​Ali Soofastaei; Peter F. Knights; Mehmet S. KizilAli Soofastaei; Peter F. Knights; Mehmet S. Kizil
Publication Date
2017
Journal / Source
Extracting Innovations: Mining, Energy, and Technological Change in the Digital Age, CRC Press
Volume / Pages
Chapter publication; pp. 164-177
Publication Type
Book chapter / technical article
Description: This chapter-style article explains how advanced data analytics can improve haul truck energy efficiency in surface mines. It discusses the complex relationship between fuel consumption and variables such as payload, speed, road conditions, truck characteristics and operating behaviour. The contribution provides a bridge between academic modelling and practical mining energy management by showing how analytics can identify controllable drivers of fuel use.
19. Rolling Resistance in Haul Truck Operations
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Authors
Ali Soofastaei; L. Adair; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2017
Journal / Source
Australian Mining Journal
Volume / Pages
Vol. 9, Issue 5; pp. 102-106
Publication Type
Journal article
Description: This article explains the importance of rolling resistance in haul-truck productivity, cycle time, fuel consumption, tyre performance and safety. It defines rolling resistance as the force needed to overcome tyre-road interaction losses and discusses how haul-road condition, tyre behaviour and payload influence this force. The paper is practically useful because it highlights a manageable source of energy loss in surface mine haulage.
20. A Discrete Event Model to Simulate the Effect of Truck Bunching Due to Payload Variance on Haul Trucks' Fuel Consumption
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2017
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 11, No. 4; pp. 36-39
Publication Type
Journal article
Description: This article presents a discrete-event simulation view of truck bunching caused by payload variance in surface mining. It explains why heavily loaded trucks slow on ramps, why faster trucks queue behind them, and how these interactions affect fuel use and productivity. The article translates detailed modelling work into an industry-focused discussion of dispatch, payload control and haulage efficiency.
21. Continuous Quality Improvement and Cost Reduction Using Value Engineering
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Authors
A. Soofastaei; M. Fooladgar; M. Khaje Khabaz
Publication Date
5 March 2017
Journal / Source
International Conference on Management Science and Accounting, Tehran University, Iran
Volume / Pages
Conference proceedings; pp. 112-119
Publication Type
Conference paper
Description: This conference paper applies value engineering principles to quality improvement and cost reduction. It presents value analysis as a structured way to identify functions, compare alternatives and prioritise improvements that reduce cost while preserving or improving performance. The paper connects engineering economics, management science and practical decision-making for organisations seeking systematic continuous improvement.
22. Advanced Data Analytics: A New Competitive Advantage to Increase Energy Efficiency in Surface Mines
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Authors
Ali Soofastaei; Jeremy Davies
Publication Date
2017
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 10, Issue 1; pp. 42-45
Publication Type
Journal article
Description: This article positions advanced data analytics as a competitive advantage for improving energy efficiency in surface mining. It highlights how operational data can be used to identify energy losses, quantify improvement opportunities and support better management of haulage systems. The paper is especially relevant to mines seeking lower production costs and lower greenhouse-gas emissions through data-informed operational change.
23. Intelligence Predictive Analysis to Reduce Production Cost
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Authors
Ali Soofastaei
Publication Date
2017
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 11, Issue 1; pp. 24-26
Publication Type
Journal article
Description: This article focuses on predictive analysis as a way to reduce mining production cost, particularly through better understanding of haulage losses and rolling resistance. It discusses how analytical models can support early identification of inefficiencies and guide operational interventions. The contribution is practical because it connects data analytics directly to cost reduction, maintenance planning and mine productivity improvement.
24. A Discrete-Event Model to Simulate the Effect of Truck Bunching Due to Payload Variance on Cycle Time, Hauled Mine Materials and Fuel Consumption
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
1 September 2016
Journal / Source
International Journal of Mining Science and Technology
Volume / Pages
Vol. 26, Issue 5; pp. 745-752
Publication Type
Journal article
Description: This paper develops and validates a discrete-event simulation model for truck bunching in surface mines. It shows how payload variance creates speed differences on ramps, causes trucks to queue, and affects cycle time, hauled material and fuel consumption. The paper is an important methodological contribution because it connects stochastic loading behaviour with measurable production and energy outcomes in truck-shovel systems.
25. A Comprehensive Investigation of Loading Variance Influence on Fuel Consumption and Gas Emissions in Mine Haulage Operation
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2016
Journal / Source
International Journal of Mining Science and Technology
Volume / Pages
Vol. 26; pp. 995-1001
Publication Type
Journal article
Description: This article investigates how loading variance influences haul-truck fuel consumption, greenhouse-gas emissions and associated cost. It demonstrates that payload variability has a non-linear relationship with energy and emissions outcomes and that reducing payload standard deviation can create meaningful savings. The work provides a quantitative foundation for payload-control initiatives and more disciplined truck-shovel loading practices.
26. The Influence of Rolling Resistance on Haul Truck Fuel Consumption in Surface Mines
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2016
Journal / Source
Tribology International Journal
Volume / Pages
Vol. 2, Issue 1; pp. 215-228
Publication Type
Journal article
Description: This article analyses how rolling resistance affects haul-truck fuel consumption in surface mining. It examines tyre-road interactions, road condition, total resistance and their contribution to energy losses. The paper is technically important because it quantifies a physical mechanism that is often operationally manageable through haul-road design, road maintenance, tyre management and improved operating practices.
27. Development of a Multi-Layer Perceptron Artificial Neural Network Model to Determine Haul Trucks Energy Consumption
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2016
Journal / Source
International Journal of Mining Science and Technology
Volume / Pages
Vol. 26, Issue 2; pp. 285-293
Publication Type
Journal article
Description: This paper develops a multi-layer perceptron artificial neural network model to predict haul-truck energy consumption using haulage parameters such as gross vehicle weight, truck velocity and total resistance. The model is trained and tested with real surface-mine data and demonstrates that neural networks can capture complex nonlinear relationships in fuel consumption. The study provides a foundation for subsequent optimisation of haulage energy efficiency.
28. The Effect of Average Truck Speed on Fuel Consumption in Surface Mines
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2016
Journal / Source
Mining Journal
Volume / Pages
Vol. 4, Issue 2; pp. 92-94
Publication Type
Journal article
Description: This article discusses average truck speed as a key operational variable influencing diesel consumption in surface mines. It explains that speed interacts with payload, road condition, haul profile and operator behaviour, making its effect more complex than a simple linear relationship. The paper highlights speed management as a practical lever for improving energy efficiency while maintaining safe and productive haulage operations.
29. Using Artificial Intelligence Models to Increase Energy Efficiency in Mining Industry
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Authors
A. Soofastaei; P. F. Knights
Publication Date
13-14 April 2016
Journal / Source
Fuel Cell Science and Technology 2016, Glasgow, United Kingdom
Volume / Pages
Conference proceedings; pp. 76-83
Publication Type
Conference paper
Description: This conference paper introduces the use of artificial intelligence models for improving energy efficiency in mining. It discusses how predictive modelling and optimisation can identify energy-saving opportunities in equipment-intensive operations. The paper is relevant to mining companies seeking practical ways to combine engineering understanding with data-driven analysis to reduce fuel consumption and operational cost.
30. Reducing Fuel Consumption of Haul Trucks in Surface Mines Using Artificial Intelligence Models
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Authors
A. Soofastaei; S. M. Aminossadati; M. S. Kizil; P. F. Knights
Publication Date
9-12 February 2016
Journal / Source
Coal Operators' Conference (Coal 2016), University of Wollongong, Australia
Volume / Pages
Conference proceedings; pp. 159-168
Publication Type
Conference paper
Description: This conference paper presents artificial-intelligence modelling for reducing haul-truck fuel consumption in surface mines. It explains how haulage parameters can be converted into predictive models and used to evaluate operational changes. The paper contributes to mine energy-efficiency research by showing how AI can support lower diesel use, lower emissions and better cost control in truck-shovel operations.
31. Increasing Energy Efficiency in Residential Buildings Using Value Engineering
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Authors
A. Soofastaei; M. Khaje Khabaz
Publication Date
4-5 January 2016
Journal / Source
International Conference on Value Engineering and Cost Management, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 41-49
Publication Type
Conference paper
Description: This conference paper applies value engineering to the problem of improving residential building energy efficiency. It compares design and operational alternatives based on function, cost and energy performance. The work demonstrates how structured value-analysis methods can support practical building decisions that reduce consumption while maintaining occupant comfort and construction feasibility.
32. A Discrete-Event Model to Simulate the Effect of Payload Variance on Truck Bunching, Cycle Time and Hauled Mine Materials
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2016
Journal / Source
International Journal of Mining Technology
Volume / Pages
Vol. 2, Issue 3; pp. 167-181
Publication Type
Journal article
Description: This article presents a discrete-event modelling approach for evaluating how payload variance affects truck bunching, cycle time and hauled material. It focuses on the operational mechanics of queue formation and production disruption when trucks have different loaded weights and ramp speeds. The paper complements related haulage simulation work by emphasising production-flow consequences of payload variability.
33. Filling Up The Tank
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Authors
Matthew De Francia; Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
1 September 20151 September 2015
Journal / Source
Australasian Mining Review
Volume / Pages
Vol. 2, Issue 12; pp. 56-57
Publication Type
Journal article
Description: This industry article discusses fuel consumption in mining haulage and the practical challenge of managing diesel use across truck fleets. It communicates technical fuel-efficiency concepts in an accessible format for mining practitioners. The article supports awareness of how payload, speed, road conditions and equipment behaviour contribute to fuel burn and where improvement opportunities can be found.
34. Fuel Consumption of Underground Mine Haul Trucks
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
18 March 2015
Journal / Source
Australian Mining Review-Journal
Volume / Pages
Vol. 3, Issue 12; pp. 26-32
Publication Type
Journal article
Description: This article focuses on fuel consumption in underground mine haul trucks. It examines how operating conditions, haulage distances, equipment utilisation and route characteristics influence diesel usage underground. The article is practically relevant because underground haulage is constrained by ventilation, safety and production requirements, making fuel efficiency important for both cost and environmental performance.
35. Simulation of Payload Variance Effects on Truck Bunching to Minimise Energy Consumption and Greenhouse Gas Emissions
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Authors
A. Soofastaei; S. M. Aminossadati; M. S. Kizil; P. F. Knights
Publication Date
11-13 February 2015
Journal / Source
Coal Operators' Conference (Coal 2015), University of Wollongong, Australia
Volume / Pages
Conference proceedings; pp. 221-230
Publication Type
Conference paper
Description: This conference paper investigates how payload variance creates truck bunching and how that bunching affects energy consumption and greenhouse-gas emissions. It uses simulation to link stochastic loading practices with system-level haulage performance. The paper provides a practical basis for improving loading discipline, dispatch strategies and truck-shovel coordination to reduce unnecessary fuel use.
36. Increasing Haul Trucks Energy Efficiency in Surface Mines Using Artificial Intelligence Methods
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Authors
A. Soofastaei; S. M. Aminossadati; M. S. Kizil; P. F. Knights
Publication Date
14-15 Feb, 2015
Journal / Source
EAIT Postgraduate Conference, The University of Queensland, Brisbane, Australia
Volume / Pages
Conference proceedings; pp. 54-61
Publication Type
Conference paper
Description: This conference paper presents early research on using artificial intelligence methods to improve haul-truck energy efficiency in surface mines. It outlines the modelling logic for connecting operational variables with fuel consumption and identifying improvement options. The work represents a research bridge between doctoral modelling, mine-site datasets and practical mine energy management.
37. Investigation of Energy Efficiency in Haul Truck Operations
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Authors
Ali Soofastaei
Publication Date
2015
Journal / Source
Mining Energy Efficiency Review
Volume / Pages
Vol. 6, Issue 1; pp. 1-24
Publication Type
Technical research article
Description: This technical article summarises a comprehensive investigation of energy-efficiency opportunities in surface mine haul-truck operations. It describes the role of payload, speed and total resistance in diesel consumption and explains how artificial neural networks and genetic algorithms can be combined to model and optimise fuel use. The article also connects fuel reduction with productivity, cost saving and greenhouse-gas reduction benefits.
38. Development of an Artificial Intelligence Model to Determine Trucks Energy Consumption
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Authors
A. Soofastaei; S. M. Aminossadati; M. S. Kizil
Publication Date
3-5 November 2014
Journal / Source
Future Energy Conference, The University of New South Wales, Australia
Volume / Pages
Conference proceedings; pp. 97-104
Publication Type
Conference Paper
Description: This conference paper presents the development of an artificial-intelligence model for estimating truck energy consumption. It describes early modelling work that later supported broader haul-truck fuel-efficiency studies. The paper is important because it frames truck energy use as a predictive analytics problem rather than only a mechanical calculation problem.
39. Innovative Models for Energy Management in Oil and Gas Industry
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Authors
A. Soofastaei
Publication Date
2014
Journal / Source
10th International Energy Conference, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 214-223
Publication Type
Conference Paper
Description: : This conference paper presents energy-management models for oil and gas operations. It discusses how structured analysis, monitoring and optimisation can identify energy-saving opportunities in industrial systems. The paper reflects the author’s early industrial energy-management focus and connects software-supported auditing with broader operational efficiency and sustainability goals.
40. Payload Variance Plays a Critical Role in Fuel Consumption of Mining Haul Trucks
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Authors
Ali Soofastaei; Saiied M. Aminossadati; Mehmet S. Kizil; Peter F. Knights
Publication Date
2014
Journal / Source
Australian Resources and Investment
Volume / Pages
Vol. 8, Issue 4; pp. 63-64
Publication Type
Journal article
Description: This article explains why payload variance is a major driver of fuel consumption, emissions and cost in mining haul-truck operations. It discusses how variation in truck loading affects gross vehicle weight, speed, cycle time, maintenance demand and downstream process stability. The paper highlights payload control as a practical and high-value opportunity for improving haulage efficiency.
41. Energy Efficiency Opportunities in Haul Truck Operations by Genetic-Algorithm-Based Multi-Function Optimisation
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Authors
A. Soofastaei
Publication Date
11 June 2013
Journal / Source
EAIT Postgraduate Conference, The University of Queensland, Brisbane, Australia
Volume / Pages
Conference proceedings; pp. 66-74
Publication Type
Conference Paper
Description: This conference paper introduces genetic-algorithm-based multi-function optimisation for identifying energy-efficiency opportunities in haul-truck operations. It frames fuel consumption reduction as an optimisation problem involving multiple operating variables and constraints. The paper provides an early foundation for later work on AI-driven haulage parameter optimisation.
42. The Integration of Energy Management (EM) with Manufacturing Execution Systems (MES) to Reduce the Energy Consumption Across Mining and Processing Plants
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Authors
A. Soofastaei; S. M. Aminossadati; M. S. KizilA. Soofastaei; S. M. Aminossadati; M. S. Kizil
Publication Date
8-10 October 2012
Journal / Source
Australian Mining Technology Conference, University of Western Australia, Perth, Australia
Volume / Pages
Conference proceedings; pp. 301-310
Publication Type
Conference Paper
Description: This conference paper discusses integration between energy-management systems and manufacturing execution systems for mining and processing operations. It argues that energy performance should be embedded in operational execution rather than monitored separately. The paper is relevant to digital transformation because it links plant data, operational scheduling and energy reduction in a unified management approach.
43. Energy Management Systems in Mining Industry
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Authors
A. Soofastaei
Publication Date
23 August 2012
Journal / Source
Energy Efficiency Opportunities Conference and Workshop, Novotel Brisbane, Australia
Volume / Pages
Workshop proceedings; pp. 18-26
Publication Type
Conference Paper
Description: This conference paper presents the role of energy-management systems in mining. It explains how energy data, auditing procedures and performance monitoring can support systematic reductions in fuel and electricity use. The paper is a practical contribution for mine operators seeking to formalise energy-efficiency programs and link them to production and maintenance activities.
44. Australian Energy Bandwidth
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Authors
A. Soofastaei
Publication Date
11 June 2012
Journal / Source
Mechanical and Mining Conference, The University of Queensland, Brisbane, Australia
Volume / Pages
Conference proceedings; pp. 33-41
Publication Type
Conference Paper
Description: This conference paper considers energy bandwidth in the Australian industrial and mining context. It discusses how energy-use baselines and theoretical improvement ranges can be used to identify conservation opportunities. The paper provides a systems-level view of energy efficiency and supports prioritisation of initiatives based on technical potential and operational feasibility.
45. Steam Traps Maintenance as a Solution for Saving Energy
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Authors
A. Soofastaei
Publication Date
24-25 May 2011
Journal / Source
8th International Energy Conference, IRIB International Conference Centre, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 143-151
Publication Type
Conference Paper
Description: This conference paper examines steam-trap maintenance as a practical energy-saving measure in industrial facilities. It explains how failed or poorly maintained traps can waste thermal energy, reduce system efficiency and increase operating costs. The paper presents maintenance management as a direct route to energy conservation, reliability improvement and better lifecycle performance in steam systems.
46. Saving Energy in Shell and Tube Heat Exchangers by Using Genetic Algorithm
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Authors
A. Soofastaei
Publication Date
10-11 November 2010
Journal / Source
2nd International Conference on Heat Exchanger Application in Oil and Energy Industries, TALASH Conference Centre, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 88-97
Publication Type
Conference Paper
Description: This conference paper applies genetic algorithm optimisation to energy saving in shell-and-tube heat exchangers. It considers how design and operating variables can be optimised to improve heat-transfer performance and reduce energy loss. The contribution connects classical thermal engineering with computational optimisation methods, making it relevant to industrial energy-efficiency programs.
47. Optimised Biogas Production Technologies for Landfills in Urban Areas
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Authors
A. Soofastaei
Publication Date
13 October 2010
Journal / Source
1st Iranian BioEnergy Conference, IRIB International Conference Centre, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 52-61
Publication Type
Conference Paper
Description: This conference paper discusses optimised technologies for producing biogas from urban landfills. It evaluates landfill gas capture as a renewable-energy opportunity and a waste-management improvement. The paper connects energy recovery, environmental management and urban infrastructure by explaining how landfill biogas can reduce emissions and create usable energy from municipal waste streams.
48. Energy Recycling Potential from Urban Waste
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Authors
A. Soofastaei
Publication Date
22-23 December 2009
Journal / Source
7th National Conference on Energy, IRIB International Conference Centre, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 205-214
Publication Type
Conference Paper
Description: This conference paper analyses the potential for recovering energy from urban waste. It discusses waste-to-energy pathways, resource recovery and the broader role of energy recycling in sustainable cities. The paper is aligned with renewable energy and environmental engineering because it treats waste as a recoverable energy resource rather than only a disposal problem.
49. Improvement in Energy Consumption of Residential Buildings by Value Engineering
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Authors
Ali Soofastaei
Publication Date
April 2009
Journal / Source
Oil & Energy
Volume / Pages
Vol. 2; pp. 82-91
Publication Type
Description: This article applies value engineering to reduce energy consumption in residential buildings. It evaluates building design and operational alternatives through a function-cost-performance lens, helping identify measures that deliver energy savings without unnecessary cost. The paper reflects an early focus on practical energy-management methods and provides a structured way to improve residential building efficiency.
50. Ethanol as a Future Clean Fuel
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Authors
A. Soofastaei
Publication Date
13-15 May 2008
Journal / Source
16th Annual International Conference on Mechanical Engineering, Kerman University, Iran
Volume / Pages
Conference proceedings; pp. 412-420
Publication Type
Conference paper
Description: This conference paper evaluates ethanol as a future clean fuel, considering its production pathways, combustion characteristics and environmental potential. It discusses ethanol’s role in diversifying transport and industrial fuel supply while reducing dependence on conventional fossil fuels. The paper is positioned within renewable fuels and mechanical-energy systems.
51. Development of Fuel Cell's Technology Outlook in Iran
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Authors
A. Soofastaei
Publication Date
7-8 June 2006
Journal / Source
​5th Conference on Fuel Conservation in Building, Iranian Fuel Conservation Company (IFCO), Tehran, Iran
Volume / Pages
Conference proceedings; pp. 77-85
Publication Type
Conference paper
Description: This conference paper examines the technology outlook for fuel cells in Iran. It discusses fuel-cell development as part of a broader clean-energy and energy-conservation strategy, including barriers to adoption and potential application areas. The paper contributes to early strategic thinking on advanced energy technologies and their relevance to national energy planning.
52. Installation of Building Heating Intelligent Control Systems
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Authors
Ali Soofastaei
Publication Date
23 April 2006
Journal / Source
Energy Research & Technology Magazine
Volume / Pages
Vol. 4, Issue 2; pp. 128-134
Publication Type
Journal article / proceedings article
Description: This article discusses the installation of intelligent control systems for building heating. It explains how automated control can improve energy efficiency by matching heating output with occupancy, weather and thermal demand. The paper is relevant to building energy management because it connects control-system implementation with measurable reductions in fuel or electricity consumption.
53. Design System for Providing Hybrid and Photovoltaic Power
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Authors
A. Soofastaei
Publication Date
22 April 2006
Journal / Source
Energy Research & Technology Magazine
Volume / Pages
Vol. 4, Issue 2; pp. 69-73
Publication Type
Journal article / proceedings article
Description: This article presents a design system for hybrid and photovoltaic power supply. It discusses how renewable and hybrid configurations can be sized and evaluated for practical energy needs. The paper contributes to applied renewable-energy engineering by focusing on system design, component selection and energy-supply reliability.
54. Quality Challenges in Iran Oil Refinement Industries
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Authors
A. Soofastaei
Publication Date
March 2005
Journal / Source
Oil & Energy
Volume / Pages
Vol. 4; pp. 121-132
Publication Type
Journal article
Description: This article examines quality-management challenges in Iran’s oil-refinement industries. It discusses process reliability, operational discipline, measurement practices and continuous improvement as factors affecting refinery performance. The paper is relevant to industrial engineering and energy-sector management because it links quality systems with cost, efficiency and production consistency.
55. Energy Service Companies
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Authors
A. Soofastaei
Publication Date
February 2005
Journal / Source
Oil & Energy
Volume / Pages
Vol. 3; pp. 48-61
Publication Type
Journal article
Description: This article introduces the role of energy service companies in delivering energy-efficiency projects. It discusses how ESCO models can support auditing, financing, implementation and performance verification for industrial and building energy projects. The paper is relevant to energy-management practice because it explains a business model for converting efficiency opportunities into implemented savings.
56. Technology of Using Biogas from Landfill in Urban Areas
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Authors
A. Soofastaei
Publication Date
December 2004
Journal / Source
Mechanical Engineering and Air Condition International Magazine
Volume / Pages
Vol. 20; pp. 123-136
Publication Type
Journal article
Description: This article discusses the use of landfill biogas as an energy resource in urban areas. It explains how captured gas can be collected, treated and converted into useful energy while reducing uncontrolled methane emissions. The paper links mechanical engineering, urban infrastructure and renewable-energy planning by presenting landfill gas utilisation as both an environmental and energy-management solution.
57. National Software Package for Energy Conservation in Buildings
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Authors
A. Soofastaei; M. Sadri
Publication Date
November 2004
Journal / Source
Behsaz Energy
Volume / Pages
Vol. 5; pp. 74-85
Publication Type
Journal article
Description: This article presents a national software package designed to support energy conservation in buildings. It describes how building data, audit criteria and conservation measures can be organised in software to guide energy-management decisions. The paper is important because it combines engineering knowledge with decision-support software for systematic building energy auditing.
58. Technology of Extracting Biogas from Landfill in Urban Areas
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Authors
A. Soofastaei; F. Karimi
Publication Date
November 2004
Journal / Source
Mechanical Engineering and Air Conditioning International Journal
Volume / Pages
Vol. 5, Issue 19; pp. 93-109
Publication Type
Journal article
Description: This article focuses on the extraction of biogas from urban landfills. It discusses gas generation, collection systems, engineering design considerations and environmental benefits. The work complements later biogas utilisation articles by focusing on the capture and extraction stage, which is critical for reliable energy recovery and methane-emission reduction.
59. Valuation of Energy Saving Potential in Ministerial Buildings
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Authors
A. Soofastaei; D. Fotoohi
Publication Date
October 2004
Journal / Source
Mechanical Engineering and Air Conditioning International Journal
Volume / Pages
Vol. 5; pp. 28-39
Publication Type
Journal article
Description: This article evaluates energy-saving potential in ministerial buildings. It applies building energy-audit concepts to identify consumption drivers, conservation measures and potential savings in public-sector facilities. The paper is relevant to government asset management because it demonstrates how structured engineering audits can support energy reduction, cost control and improved building performance.
60. Study on Energy Audit and Management Software
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Authors
A. Soofastaei
Publication Date
July 2004
Journal / Source
Nama Journal
Volume / Pages
Vol. 6, Issue 2; pp. 65-78
Publication Type
Journal article
Description: This article studies software approaches for energy auditing and energy management. It explains how criteria, calculations and reporting can be embedded in software to make audits more consistent and actionable. The article is relevant to building and industrial energy management because it translates audit methodology into a repeatable decision-support tool.
61. Comparing Standards Between Internal and External Energy Consumption in Buildings
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Authors
A. Soofastaei; M. Sadri
Publication Date
July 2004
Journal / Source
Nama Journal
Volume / Pages
Vol. 7, Issue 1; pp. 112-121
Publication Type
Journal article
Description: This article compares internal and external standards for building energy consumption. It considers how different benchmarks and criteria can influence the evaluation of building performance. The paper is useful for energy auditors because it highlights the importance of consistent standards when assessing consumption, identifying inefficiencies and recommending improvement measures.
62. Energy Conservation in Public Buildings
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Authors
A. Soofastaei
Publication Date
17-18 February 2004
Journal / Source
3rd Conference on Fuel Conservation in Building, Hall Summit, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 55-63
Publication Type
Conference paper
Description: This conference paper discusses energy conservation opportunities in public buildings. It presents energy auditing, operational control and building-system improvement as ways to reduce consumption across government or institutional facilities. The paper reflects an early applied focus on energy management in large building portfolios.
63. Energy Saving, Audit and Management (E.S.A.M) Design and Create Software
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Authors
A. Soofastaei; M. Sadri; A. Niroomanesh
Publication Date
17-18 February 2004
Journal / Source
3rd Conference on Fuel Conservation in Building, Hall Summit, Tehran, Iran
Volume / Pages
Conference proceedings; pp. 64-73
Publication Type
Conference paper
Description: This conference paper presents the design and creation of the Energy Saving, Audit and Management software package. It explains how energy-audit logic, data collection and management recommendations can be incorporated into a software tool. The contribution is important because it represents an early software-based approach to structured energy conservation in buildings.
64. Energy Consumption Audit and Management
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Authors
A. Soofastaei
Publication Date
2004
Journal / Source
Journal of Building Energy Management
Volume / Pages
Vol. 1, Issue 1; pp. 1-18
Publication Type
Technical article
Description: This technical article introduces the principles of energy-consumption auditing and management for buildings and industrial facilities. It explains how energy use can be measured, benchmarked and improved through structured criteria and engineering assessment. The paper supports practical energy-management programs by linking audit findings to prioritised conservation actions.