Page 1 Introduction Energy Management • Generally static • Based on historical data Control Systems • Real time control of processes • Processes track to a collection of set points • Run the process within certain limits Systems Optimisation • Use real time data • Adjust system wide set points to optimise profits • Take into account external factors • Whole of system focus – optimise across whole system not just individual process Increasing complexity Increasing control Greater efficiency Page 2 What is System Optimisation? Optimiser uses historical data and predictive algorithms to optimise performance Information sent back to process via control system Controller provides process information to optimiser Optimised instructions sent back to process Information from process sent to control system Optimised instructions sent back to process Page 3 What is System Optimisation? Offline open loop systems optimisation Online open loop systems optimisation Closed loop real time systems optimisation Simplot Australia (energy metering and energy performance indicators) AngloGold Ashanti (singlevariable control) Worsley Alumina (multivariable control) Increasing automation Simplot Australia (variable head pressure control of refrigeration plant) Page 4 Costs and Benefits BENEFITS Increased throughput (3% to 5%) Increased energy efficiency (3% to 5%) Decreased energy costs Increased product quality (10 to 20%) Decreased operator input Payback periods of 6 months to 4 years POSSIBLE COSTS Engineering New instrumentation New controls equipment Training Page 5 Australian Case Study - Simplot Background Food company in Devonport, Tasmania Produce frozen vegetables Time critical process No energy sub-metering Motivation Improved energy management – cost increases Reduce energy intensity by 25% Benefits Reduced energy intensity by 20% Reduced energy costs Reduced partial loading of compressors Greater process resilience Page 6 Australian Case Study – AngloGold Ashanti Background Sunrise Dam Gold Mine Operating since 1995 Typical Carbon-in-leach process Motivation Optimise throughput Eliminate causes of downtime How Systems Optimisation was implemented Took stock of existing control systems Prioritised causes of downtime Identified control improvements Trained operators Monitored results Page 7 Australian Case Study – AngloGold Ashanti Benefits Fewer maintenance events Increased throughput Improved energy efficiency Reduced Unit Costs Next Steps Processing plant optimised Look at upstream processes next Page 8 Australian Case Study – Worsley Alumina Background Refinery opened in 1984 Upgrades started in 2004 Motivation Improve profitability Automate operator knowledge Page 9 Australian Case Study – Worsley Alumina How Systems Optimisation was implemented Mandate from Senior Management Front end study Implementation of Multi-variable control Continuous measurement of results Page 10 Australian Case Study – Worsley Alumina Benefits More accurate control, less operator intervention Optimised set-points = improved profitability Reduced maintenance costs Improved reliability Page 11 Australian lessons learned Make the most of what you have before you invest Prepare a persuasive business case – whole of business costs and benefits Undertake a staged implementation process Ensure you have access to the required skills Manage the learning process Maintain operator proficiency Page 12 Key Industries Overseas industries that have benefited: Large commercial buildings Power generation Cement manufacture Petrochemical Steel making Australian industries that could benefit: Food processing Minerals processing Transport Commercial buildings Page 13 Legal Disclaimer Important Notice Energy Made Clean Limited [ABN 95 108 702 101] was incorporated on 13 April 2004 and is currently an unlisted public company limited by shares. 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All enquiries regarding this document should be in the first instance directed to: John Davidson CEO, Energy Made Clean Limited 18 Colin Street West Perth WA 6005 Email: John.Davidson@energymadeclean.com Page 14 Spent Liquor Temperature Variation Before & After MVC. 30.0% 25.0% 20.0% 15.0% 10.0% 5.0% 0.0% 70 72 74 76 78 80 82 84 86 88 Temperature (degC) BaseCase PerfRun Page 15 Operator moves for 3 different processes before and after MVC. 140 122.4 120 Moves/day 100 80 60 40 32.7 31.1 20 30.1 28.4 13.9 3.9 3.6 3.8 2.7 0 All MV's Tr1A Tr1B MVC Off Tr2A Tr2B MVC On Page 16 Levels of Process Control SO Systems Optimisation (multiple process units) Advanced Process Control (multivariable process unit) Advanced Regulatory Control (single variable feed forward/back loop control) Basic Regulatory Control (single variable, single loop control) Instruments & Actuators Processing Plant Page 17 Page 18 Discussion – Systems Optimisation • Do you think your corporation currently optimises its existing energy management tools? • Do you think there are aspects of systems optimisation that could be explored by your corporation? ENHANCING AUSTRALIA’S ECONOMIC PROSPERITY