Data Analysis for Energy Efficiency Enhancement in Large Sites

1. Information and Data Analysis Information beats Imagination Paul Goerick – Rawetech Melbourne, 30 August 2012

2. Data Analysis 1st Cycle Learning • Two years data not really enough • Five years minimum if possible • Using electrical load profiles particularly for non 24/7 sites • Energy and mass balances • Large energy site are quite good on fuel • Electricity balances are poor • Focus on areas where improvement likely • Data analysis will provide clues • Meters installed in 1st Cycle. EITE has focussed management minds

3. Data Analysis 1st Cycle Learning • GJ/t not a good metric for varying production • Hides good/bad performance • Use variety of analytical methods • Regression, single/multiple essential • Benchmarking • Between similar sites particularly effective • Drill down to sub-processes

4. Benchmarking

5. What’s Changed • Energy Prices • 2005 <$4/GJ gas and <6c/kWh • 2012 >$6/GJ gas and >9c/kWh electricity • Technology:- lighting, boiler controls, insulation • Capital cost for equipment is lower • 2005 AU$ = US$0.75 • 2012 AUS = US$1.03 • Some states installation costs stablising • Carbon cost getting management focus • Government Funding: Federal and State Worth getting out of bed for

6. 2nd Cycle Improvements Drill deep down • Energy and or mass balances beyond compliance • Building on data analysis: chase the outlying points • Develop benchmarks on sub processes • Shutdown load profiles Turning Data into Knowledge