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 Deputy 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 http://workbench.lbl.gov/~mdsohn/
How many replicate tests are needed to test cookstove performance and emissions? – Three is not adequate." Energy for Sustainable Development 20 (2014): 21-29. "
Performance Metrics and Objective Testing Methods for Energy Baseline Modeling Software. Berkeley: Lawrence Berkeley National Laboratory, 2014.
Taxonomy for Modeling Demand Response Resources. Berkeley, 2014.
Uncertainty estimation improves energy measurement and verification procedures." Applied Energy 130 (2014): 230-236. "
A stiff, variable time step transport solver for CONTAM." Building and Environment 67 (2013): 260-264. "
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.
Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software. Berkeley: Lawrence Berkeley National Laboratory, 2013.
Siting Samplers to Minimize Expected Time to Detection." Risk Analysis 32, no. 12 (2012): 2032-2042. "
Final Report: Balancing energy conservation and occupant needs in ventilation rate standards for “Big Box” stores in California: predicted indoor air quality and energy consumption using a matrix of ventilation scenarios. Berkeley: Lawrence Berkeley National Laboratory, 2011.