The Energy and Efficiency Institute at UC Davis is developing the Empower Procurement Product Evaluation Hub to evaluate selected DER products in a rigorous and transparent manner, and to disseminate widely evaluation results to large commercial and institutional customers that use a formal procurement process
This project aims to assist operators during challenging and rare grid events through novel decision support tools and improved, data-driven training. This project will build advanced, machine learning based tools to fit into an adaptive human-machine system and improve existing training simulators to incorporate such tools and more data.
This project aims to develop a nascent open-source common data model, Brick, into a demonstrated and tested tool that, through the implementation of advanced algorithms and analysis, can enable the scaling of major energy savings, improved building performance, and grid responsiveness across commercial buildings at low cost.
Since 2015 CIEE has been assisting the California Public Utilities Commission in the analysis of the potential for demand response (DR) in California. As part of a continuing effort, CIEE is now managing a $5,000,000 prime contract. CIEE’s primary role is to identify and subcontract with researchers who can perform the work needed by the CPUC.
The University of California (UC) system has committed to reducing its net GHGs to 1990 levels by 2020 (all scopes), and to zero by 2025 under its Carbon Neutrality Initiative (scopes 1 & 2). UC campuses are reducing their direct emissions using all affordable strategies, and also anticipate needing to procure offsets to get all the way to zero. The purpose of this project is to develop UC’s strategy for procuring offsets that are high quality, support scalable climate solutions, and fulfill the University’s research, education, and public service missions.
The Hamilton project will create a low-cost sensor that is securely integrated with building Heating Ventilation and Air Conditioning (HVAC), lighting, plugloads, as well as connected to the grid, will enable many kinds of applications (e.g., diagnostics, demand response) that will reduce energy consumption and improve occupant comfort and satisfaction.
Behavioral adaptations enabled through optimized settings and advanced algorithms is the easiest and possibly most cost-effective method to address HVAC energy use. A low-cost HVAC controller with a very simple user interface (UI) that understands occupant comfort preferences and manages indoor conditions to optimize energy use, without requiring connection to the Internet, could overcome the economic and technology barriers.
Motivated by urgent societal questions and California legal mandates related to climate change and urban vulnerability, the EcoBlock concept is a multi-customer microgrid solution electrical system combining distributed energy resources.
Phasor-Based Control (PBC) is a radically new layered control framework for managing high penetrations of solar and other variable energy resources on electric utility distribution circuits. This project integrates several threads of research and development including high-precision micro-synchrophasor (µPMU) measurements, analytics relating phasor profiles to dynamic and unbalanced power flows, decentralized adaptive control algorithms, and simulation capabilities to effectively characterize large networks.
The Binational Lab on Smart Energy Management and Technology is a research partnership between Mexico’s largest and most prestigious private education institute, Instituto Tecnológico y de Estudios Superiores de Monterrey (Tec de Monterrey), and California’s UC Berkeley.