Mitchell Paulus

Mitchell Paulus, PhD, PE

Energy Engineer

Education
Ph.D. Mechanical Engineering, Texas A&M University
M.S. Engineering, Milwaukee School of Engineering
B.S. Mechanical Engineering, Milwaukee School of Engineering

Mitchell Paulus, PhD is an Energy Engineer for CCLLC responsible for energy optimization and analysis of facility energy use.
Mitch has an extensive knowledge of mechanical systems and energy optimization. He began his career as a graduate student with the Energy Systems Laboratory at Texas A&M University. As a graduate assistant researcher, he lead the development of software tools for the Continuous Commissioning® process, covering opportunity assessment, building energy simulation, and trend data analytics. His work included the development of algorithms for automated monitoring and verification of energy conservation measures, and also researching fault detection and diagnostic algorithms for commercial buildings.

PROFESSIONAL REGISTRATIONS

  • Registered Professional Engineer #135214

PROFESSIONAL AFFILIATIONS

  • American Society of Heating, Refrigeration, and Air Conditioning Engineers (ASHRAE)
  • ASHRAE Technical Committee 4.7, Energy Calculations
Ken Meline Principal
Julian Rachman Principal
John Kimla Associate Principal
Don Barnwell Director of Operations
Michael Geraci Director of Business Development
Sean Green Regional Manager
(Gulf Coast)
Fernando Perez Regional Manager
(Central Texas)
Ian Nelson Energy Engineer
Mitchell Paulus Energy Engineer

PUBLICATIONS

  • Mitchell T. Paulus. Algorithm for explicit solution to the three parameter linear change point regression model. Science and Technology for the Built Environment, 2016
  • Bass Abushakra and Mitchell T. Paulus. An hourly hybrid multivariate change point inverse model using short-term monitored data for annual prediction of building energy performance, Part III: Results and Analysis (1404-RP). Science and Technology for the Built Environment, 2016
  • Bass Abushakra and Mitchell T. Paulus. An hourly hybrid multivariate change-point inverse model using short-term monitored data for annual prediction of building energy performance, Part II: Methodology (1404-RP). Science and Technology for the Built Environment, 2016
  • Bass Abushakra and Mitchell T. Paulus. An hourly hybrid multivariate change- point inverse model using short-term monitored data for annual prediction of building energy performance, Part I: Background (1404-RP). Science and Technology for the Built Environment, 2016
  • Mitchell T. Paulus, David E. Claridge, and Charles Culp. Algorithm for automating the selection of a temperature dependent change point model. Energy and Buildings, issue 87, pg. 95-104, 2015
  • Kavita Gangisetti, David E. Claridge, Jelena Srebric, and Mitchell T. Paulus. Influence of reduced VAV flow settings on indoor thermal comfort in an office space. Building Simulation, 9(1), 2015.
  • David Strong and Victoria Burrows. A Whole-System Approach to High-Performance Green Buildings. David E. Claridge, Mitchell T. Paulus, Charles Culp, and Kevin Christman, Chapter: Continuous Commissioning, 2016.
  • Jan Hensen and Roberto Lamberts. Building Performance Simulation for Design and Operation, Second Edition. David E. Claridge, Mitchell T. Paulus, ChapterBuilding simulation for practical operational optimization, 2019.