In response to AB 802, the objective of this study is to develop a viable meter-based program offering for large commercial customers. The legislation and subsequent proceedings and decisions from the CPUC enable Program Administrators to design and implement energy efficiency programs that provide...

Manually controlling Demand of HVAC and other associated loads is labor and time intensive, involving the manual adjustment of several controls spread out of these facilities. Furthermore, participation in, “day ahead”, demand response programs provides challenges in this type of facility and...

As part of EPIC GFO 16-304/EPC-17-008 Center for Sustainable Energy along with their project partners will design and demonstrate the impact of an integrated suite of energy efficiency technologies in an existing Big Box retail store. The technologies include lighting upgrades, HVAC/refrigeration...

Demand Response Training for 2015 and...

As identified in the California Long Term Energy Efficiency Plan (CLTEESP), one of the Big Bold Strategies includes that All Residential Construction will be zero net energy (ZNE) by 2020. The purpose of this All-Electric Residential ZNE Home Field Monitoring Assessment measurement and verification...

This project will create a novel database of energy use intensity (EUI) values from Title 24 compliant new construction prototype energy models. The database will serve to set baselines in support of various new construction custom...

The goal of this project is to establish a whole building M&V approach based on the short-time interval energy use data (collectively known as “M&V 2.0”) for the University and possibly Public Sector environment that is simple to apply but accurately captures real savings from existing conditions...

This project aims to develop a roadmap for enabling technologies and customer outreach efforts that will effectively migrate existing and new automated DR capabilities to meet the new performance requirements identified in LBNL's Phase 2 DR Potential Study...

Cloud-based software incorporates historical customer energy usage and demand data, in any interval available (i.e., bi-monthly, monthly, hourly or sub-hourly), and combines this with weather data, to create predictive models of weather-normalized energy usage for every premise. These models can...

Laboratory and field study of hybrid systems that provide space conditioning and domestic hot water in the non-residential...