This project developed new and improved methods of analyses of energy data that provide new metrics valuable to assist in targeting utility rebate customers for greater energy savings and recruitment of suitable buildings. If utility program managers apply both of those methods to their territory they can improve their outreach effort by focusing on the buildings that will save the most energy and focus on 15% to 28% of their customers depending on the methods they select.
This project provides a market analysis report and recommendations for improving uptake on shading, film, and window attachments (SFWA) products in small to medium-sized commercial buildings. It includes different market perspectives (barriers and opportunities) from; building owners, designers, shading and window attachment manufacturers/distributors, and utility incentive program managers.
CBEI created a series of training modules and a BRT training guide which was handed off to APPA International and BOMA International. To maintain consistency among all providers of BRT, APPA agreed to maintain the curriculum in a file sharing platform.
The session, conducted by Covestro LLC and Oak Ridge National Laboratory, aims at identifying best practice recommendation for energy-efficient, cost-effective retrofit solutions for the interior of existing masonry wall system for commercial buildings. The target market identified is climate zone 4 & 5.
FREE online training program on U.S. EPA’s ENERGY STAR Portfolio Manager tool and building information collection. 4 interactive training modules (free to public).
Understand the purpose of Building Re-tuning; Discover the potential energy and cost savings; Understand the leading opportunities for energy savings as a result of building re-tuning; Assess your organization’s readiness to conduct building re-tuning.
Designed for energy optimization of building retrofit projects. Applicable to new buildings and other projects. Empire State Building Example: Display the relevant metrics (here it’s NPV and CO2 savings). Include uncertainty and sensitivity about future projections.