Mike's research interests are in mathematical modeling of environmental systems and quality, uncertainty analysis, value-of-information decision analysis, water-energy integrated assessment, and sensor-data fusion. Mike has a PhD in Civil and Environmental Engineering and an MS degree in Engineering and Public Policy from Carnegie Mellon University. He also has MS and BS degrees in Mechanical Engineering from UCLA. Mike is a California-licensed Professional Engineer (Civil), and has worked at an environmental engineering firm where he conducted environmental health risk assessments. He is Leader of the Sustainable Energy Systems Group and former Leader of the Airflow and Pollutant Transport Group (Indoor Environment Dept.). Mike has been at LBNL since 1998. Mike's personal website is uncertainty.lbl.gov.
Ashok Gadgil, Phil Price, Tracy Thatcher, Michael Sohn, David Lorenzetti, Rengie Chan, Emily Wood, Woody Delp, Richard Sextro, Elizabeth Finlayson, Buvaneswari Jayaraman, Sheng-Chieh Chang, Suengbae Hong, and Sondra Jarvis
"An integrated assessment of water-energy and climate change in Sacramento, California: How strong is the nexus?." Climatic Change 132.2 (2015) 223-235. .
"Non-Constant Learning Rates in Retrospective Experience Curve Analyses and their Correlation to Deployment Programs." Energy Policy 107 (2015) 356–369. LBNL-186336. .
Assessment of Automated Measurement and Verification (M&V) Methods. Berkeley: LBNL, 2015. LBNL-187225. .
"M & V Shootout: Setting the Stage For Testing the Performance of New Energy Baseline." 2015 International Energy Program Evaluation Conference. Long Beach, CA, 2015. LBNL-1003782. .
"Characterization of demand response in the commercial, industrial, and residential sectors in the United States." Wiley Interdisciplinary Reviews: Energy and Environment 5.3 (2015) 288 - 304. .
"Automated Measurement and Verification: Performance of Public Domain Whole-Building Electric Baseline Models." Applied Energy 144 (2015) 106-113. LBNL-187596. .
"Big-data for building energy performance: Lessons from assembling a very large national database of building energy use." Applied Energy 140 (2015) 85 - 93. .
"A review of air exchange rate models for air pollution exposure assessments." Journal of Exposure Science and Environmental Epidemiology 2410370861483.6 (2014) 555 - 563. .
"Uncertainty estimation improves energy measurement and verification procedures." Applied Energy 130 (2014) 230 - 236. .
Performance Metrics and Objective Testing Methods for Energy Baseline Modeling Software. Berkeley: Lawrence Berkeley National Laboratory, 2014. LBNL-6963E. .
Taxonomy for Modeling Demand Response Resources. Berkeley, 2014. LBNL-176840. .
"Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques." Applied Energy 124 (2014) 156 - 166. .
"How many replicate tests are needed to test cookstove performance and emissions? – Three is not adequate." Energy for Sustainable Development 20 (2014) 21-29. LBNL-1003907. .
"Confronting Uncertainty in Life Cycle Assessment Used for Decision Support." Journal of Industrial Ecology 18.3 (2014) 366 - 379. .
"Implementing state-space methods for multizone contaminant transport." Building and Environment 71 (2014) 131 - 139. .
"Demand Response for Ancillary Services." IEEE Transaction on Smart Grid. Vol. 4. 2013. .
"A stiff, variable time step transport solver for CONTAM." Building and Environment 67 (2013) 260 - 264. LBNL-186793. .
Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing. Berkeley: Lawrence Berkeley National Laboratory, 2013. LBNL-6602E. .
Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software. Berkeley: Lawrence Berkeley National Laboratory, 2013. LBNL-6593E. .
How many replicate tests do I need? – Variability of cookstove performance and emissions has implications for obtaining useful results . Berkeley, CA: Lawrence Berkeley National Laboratory, 2013. .
"Siting Samplers to Minimize Expected Time to Detection." Risk Analysis 32.12 (2012) 2032 - 2042. .