The presentations, news, research summaries, reports, and technology overviews are collected here by focus area and represent the body of work developed by the CBEI partners during the 5-year project period. For additional information on market challenges, approach, and impacts, see each focus area overview.
EEB Hub is participating in the planning process that will chart the path for the first major growth and upgrade of the Navy Yard independent unregulated electric grid in many decades.
The purpose of building energy efficiency rating and data disclosure is to increase demand for energy efficient buildings among owners and tenants, therefore creating increased incentive for investment in building energy efficiency.
Energy use in the buildings accounts for 40% of the total energy demand of which the residential buildings account for 22% and the commercial buildings account for 18% of all energy usage.
This report presents research performed by Drexel University in Year One that explores the role of occupant behavior in building energy efficiency.
This report provides an overview of "Energy Chickens" which is a testbed game designed to evaluate data collection mechanisms, communication protocols, and feedback strategies for their consistency with the energy?saving goals of GPIC and appropriateness for deployment in commercial office settings.
This report describes the approach taken to establish such a demand response system at the Navy Yard that can serve as a model for the commercial sector.
A report on the major findings of the costs, benefits and barriers of commercial energy efficiency retrofits from 26 in-depth one on one interviews with commercial building owners, service providers, public funding managers and private investors.
This first-year report for the Greater Philadelphia Innovation Cluster (GPIC) Energy Innovation Hub assessment task summarizes the efforts during the second half of the first year of GPIC’s operation.
This research on energy efficiency and occupant behavior in multi-tenanted buildings provides valuable insights into the challenges that confront the goal of achieving a 50% energy reduction in commercial buildings in the Greater Philadelphia region by 2014.
A key objective of GPIC is to design more impactful policies that will affect the market uptake of energy efficient solutions that conform to the overall goal of the GPIC Hub. As such, a macromodeling effort was undertaken to analyze and forecast the regional impact of policies and programs that might be put forward by GPIC’s Policy, Market, and Behavior (PMB) and crosstask researchers. A Policy and Market Macro-Modeling collaborative working group was formed under PMB to create analytical methods and tools to quantify the effects of policies on the adoption of energy conservation measures in commercial buildings. This report describes the methodology developed by the Policy and Market Macro-Modeling working group.
To avoid unnecessary investments in transmission and generation resources, a good solution is to apply Demand Response programs to reduce the demand for electricity at peak hours, when generating electricity is more costly. Customers do not see how the electricity prices change on the real-time market, since most of them pay a flat rate based on the average price of electricity, therefore Demand Response programs can offer incentives to consumers to reduce their usage at peak hours, through rebates or as a response to higher electricity prices.