A Systems Approach to High Performance Buildings: A Computational Systems Engineering R&D Program to Increase DoD Energy Efficiency
Abstract
Retrofitting the existing building stock represents the largest and fastest way to reduce energy consumption for the DoD. However the current retrofit delivery process is manually intensive and expensive, focused on equipment selection for initial cost and not energy performance, and the design tools are not amenable to systems solutions that have the potential for substantially reducing energy consumption in buildings. Systems methodology and tools are necessary to deliver deep retrofits, i.e. significantly higher energy performance in existing buildings than is achievable by the current retrofit process. The report describes newly developed screening methodology and tools for early assessment of deep retrofit potential across the entire DoD stock of 250,000 buildings, use of sensitivity and uncertainty analysis tools to isolate critical design parameters and establish performance bounds during design, and reduced-order modeling tools for highly energy efficient building system control design. Validated tools were developed, and retrofit system options that can reduce energy consumption by 30-50% have been identified with existing DoD building use cases.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 2012
- Accession Number
- ADA559156
Entities
People
- Amit Surana
- Angela Lewis
- Bryan Eisenhower
- Eugene Cliff
- Igor Mezić
- Jeff Borggaard
- Jeff Seewald
- John A. Burns
- Kevin J Otto
- Niranjan Desai
- Paul Ehrlich
- Russell Taylor
- Satish Narayanan
- Shui Yuan
- Slaven Peles
- Sunil K. Ahuja
- Vladimir A. Fonoberov
- Zheng O'neill
Organizations
- United Technologies Corporation