Lean Building Research Introduction


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My Doctorate Research thesis at ETH Zürich's Institute of Technology in Architecture

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Lean Building Research Introduction

  1. 1. The Lean Building ETH Zürich D-ARCH ITA Clayton C. Miller
  2. 2. Context: Major Goals of Built Environment• Safety and Comfort of Performance of Design and Occupants Reality often• Cost Effective Functionality diverge!• Efficient Use of Resources• Aesthetically Pleasing 2
  3. 3. Performance Mismatch PhenomenonBuilding EQ Study - “...usually there is no continuous2008-2010 European evaluation of the building performance in order to reach or maintain anCommission energy-efficient operation.”(Nuemann and Jacob, 2010)Building Commissioning - 2004 Survey of 664 buildings& 2009 Study by Lawrence showing 10,000+ energyBerkeley National Labs related issues in buildings with(Mills, 2004; Mills, 2009) 13-16% average energy wasteNumerous Design vs. Most extreme case: 2:1Operation Case Studies discrepancy between(Norford et al. 1996; Scofield 2002; Piette et al. 2001; Persson measured and predicted2005; Kunz et al. 2009) performance 3
  4. 4. LEED Certified Buildings Study by New Buildings Institute (Turner et. al 2008) 4
  5. 5. The Data Gap Time SeriesPerformance DataDevice/ Simulation BMS/EMS Zone /BIM Data System Rating Utility CalibratedBuilding Systems Bills Models City Life Cycle Design Construction Operation Renewal Phase 5
  6. 6. Proposed General Research QuestionsWhat performance metrics exist orcan be developed that close the data gapbetween the life cycle phases?How do humans use these metrics?What novel data science approaches canbe tested to analyze comparisons in arobust way? 6
  7. 7. General Areas of InvestigationUseable metrics Building Performance Metricsapplicable to all built upon the “Lean” workflow andbuilding life cycle the Energy Performance Comparisonphases MethodologyRobust analyticsmethods capable of Data Mining Approachesfinding value despite applied to these Metricsnoise and uncertainty 7
  8. 8. Inspiration: The Lean Movements Manufacturing Web Development (Ries 2011) and (Liker et. al 2011) 8
  9. 9. The Lean Movements Continuous ImprovementEfficiency Reduction of WasteQuality Control Data-driven Decision Making Diagram from The Lean Startup by Eric Ries 9
  10. 10. Metrics Study Time SeriesPerformance DataDevice/ Simulation BMS/EMS Zone /BIM Data System Lean System Performance Metrics Rating Utility CalibratedBuilding Systems Bills Models City Life Cycle Design Construction Operation Renewal Phase 10
  11. 11. Performance MetricsInvestigate:- Current Utilization in the Industry- Trainability for both Designers and Operators- Effective Integration into Simulation and Measurement- Cost effectiveness and efficacy- Application to data mining approaches Diagram from: (Friedman et. al. 2011) 11
  12. 12. Goal Quality Lean OperationsDevice/ with “Kaizen” Events Control ZoneSystem Lean System Performance MetricsBuilding Design Phase Insight and Understandable City Intent Feedback! Design Construction Operation Renewal 12
  13. 13. Data Mining Research Approach Lean System Performance MetricsModelica/ Collected Building andEnergyplus Energy Management SystemSimulation Data Novel Application of Time Series Data Pattern/ Shape Recognition Approaches Life CycleDesign Construction Operation Renewal Phase 13
  14. 14. Conclusion We are drowning ininformation and starving for knowledge. - Rutherford D. Roger 14
  15. 15. My Background2002-2007Masters of Architectural EngineeringUniversity of Nebraska Building Systems Design2006-2008Mechanical EngineerLeo A Daly Co. Building Operations2008-2009Energy Engineer AnalyticsSensus Machine Intelligence Software Development/2009-2010Fulbright Scholar/MSc (Building) ManagementNational University of Singapore2010-2012 Performance ModelingChief Technology Officer Research & DevelopmentOptiras Pte Ltd 15
  16. 16. Personal Motivations Strong desire to transformBuilding Systems Design the building industry in a positive way Building Operations Analytics Felt the pain of dataSoftware Development/ analysis in multiple Management subdomains Performance Modeling Curiosity of the human-Research & Development focused aspects of the building industry 16
  17. 17. ReferencesFriedman, H., Crowe, E., Sibley, E. Effinger, M. (2011) Building Performance Tracking Handbook, Prepared by Portland Energy Conservation, Inc. Developed forCalifornia Energy Commissioning Collaborative, April 2011(http://www.cacx.org/PIER/documents/bpt-handbook.pdf)Duda R.O., P.E. Hart, and D.G. Stork, (2001). Pattern Classification, 2nd Ed., John Wiley & Sons, New York, NY.Liker, J. and Convis, J. (2011). The Toyota Way to Lean Leadership: Achieving and Sustaining Excellence through Leadership Development. 1st Edition. McGrawHillMaile, T. (2010). Comparing Measured and Simulated Building Energy Performance Data. PhD Thesis, Department of Civil and Environmental Engineering,Stanford University, Stanford, CAMills, E. (2011). Building Commissioning: A Golden Opportunity for Reducing Energy Costs and Greenhouse Gas Emissions in the United States. EnergyEfficiency,Volume 4, Issue 2, pp.145-173.Neumann, C. and Jacob, D. (2010). Results of the project: Building EQ Tools and methods for linking EPBD and continuous commissioning. EuropeanCommission in the programme Intelligent Energy – Europe (IEE)Norford, L.K., Socolow, R. H., Hsieh, E. S., Spadaro, G.V. (1994). Two-to-one discrepancy between measured and predicted performance of a‘lowenergy’ office building: insights from a reconciliation based on the DOE-2 model, Energy and Buildings.21(2). 1994, Pages 121-131.Reddy, T.A., (2006). Literature Review on Calibration of Building Energy Simulation Programs: Uses, Problems, Procedures, Uncertainty, and Tools.ASHRAE Transactions, 112(1), pp.226-240Ries, E. (2011). The Lean Startup: How Todays Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. Crown BusinessPublishing.Turner, C. and Frankel, M., (2008). Energy Performance of LEED for New Construction Buildings—Final Report, New Buildings Institute, White Salmon, WA,2008. 17