Energy Informatics is the application of information technologies to integrate and optimize current energy assets such as energy sources, generating and distributing infrastructures, billing and monitoring systems, and consumers.
The Center for Energy Informatics (CEI) is an Organized Research Unit (ORU) housed in the Viterbi School of Engineering, dedicated to not only improving and expanding Information Sciences as they relate to energy but also cultivating the future workforce for the emerging energy economy. The project concentrates on software engineering, data management and integration, social computing and behavioral studies, and system and security. The CEI focuses on creating a dialogue between industry leaders and researchers in the Information Sciences field in order to successfully find viable solutions to the world's energy problems.
Currently, the CEI is working on two research projects that will improve oilfield and energy grid operations and technologies: Integrated Asset Management (IAM) and the Demand Response Optimizations for SmartGrid. The CEI works in collaboration with the USC-Chevron CiSoft effort, Los Angeles Department of Water and Power, and USC Facilities Management.
Integrated Asset Management (IAM)
This project focuses on applying core computer science concepts to develop an improved knowledge and workflow management aptitude for oilfield applications by exploring a wide variety of oilfield domains such as software architecture, distributed and grid computing, artificial intelligence, semantic web, data integration, and services computing. The goal of the IAM project is to create an integrated and intelligent oilfield while offering graduate students the opportunity to expand their work experience and knowledge about oilfield applications in the energy informatics sector.
The IAM project is a joint USC-Chevron CiSoft effort that includes a project team of computer scientists from USC, domain experts from Chevron, and technology advisors from Microsoft and Avanade.
Demand Response Optimizations for the SmartGrid
This project focuses on enabling people to manage their energy consumption during peak demand periods in order to decrease the growth in energy demand that is threatening the stability of electric grids and its current infrastructure. By researching the areas of semantic web, integration and analysis of high throughput data, large scale and distributed computing, and social computing which provide various strategies like variable energy pricing and other incentives, it is possible to find the appropriate optimization techniques to successfully manage and regulate energy consumption.
The Demand Response Optimizations for SmartGrid project works in collaboration with the Los Angeles Department of Water and Power and USC Facilities Management.
- Develop intelligent and improve upon existing oilfield technologies.
- Improve energy consumption management and decrease the growth of energy consumption.
- Train the future workforce for the emerging energy economy.