Community Energy: Technical and Social Challenges and Integrative Solutions
Lead PI:
Jason Dedrick
Co-Pi:
Abstract
The concept of Community Energy involves integrating small-scale solar power, demand management and energy storage at the community level to create economic, environmental and social value for individuals and communities while improving the reliability and resilience of the electric grid. While this concept has great potential benefits, it raises a number of conceptual issues that must be addressed to realize its potential. These include: (1) How economic and behavioral incentives are perceived and valued in a community context and whether these differ from the perceptions and values of individual energy users; (2) How residents and other stakeholders will perceive such a project and what factors affect their acceptance and participation; (3) How highly granular data can be analyzed, visualized, and communicated to encourage acceptance and facilitate participation in a Community Energy program. To address these issues, this planning project brings together residents and stakeholders in the Mueller community of Austin, Texas, to create knowledge and tools to develop a Community Energy program that will serve as a model for other communities across the U.S. Planning and developing such a project will engage residents and stakeholders at each stage to maximize the probability of success. The results of the research will be published in academic, policy and practitioner outlets, and the data analysis and visualization tools will be distributed freely to researchers, policymakers and practitioners. The planning project will support and train graduate students at Syracuse University in research methods that integrate social science and data science in an active research setting.

There is an urgent need to improve the reliability and resilience of the electric grid and to integrate new technologies such as rooftop solar, battery storage and electric vehicles. These technologies can strain an aging grid that was not designed to handle them, but if managed properly can actually provide valuable resources to the grid such as demand response and load shifting. These benefits are greater if aggregated at the community level. However, this requires gaining the understanding and participation of community members and developing tools to analyze, visualize and communicate large, heterogeneous datasets to a variety of stakeholders. This multidisciplinary, integrative project addresses these issues through (1) identifying and engaging key community stakeholders, (2) conducting community workshops and implementing a survey of community members in the Mueller neighborhood (3) developing data analytics, visualization and communication tools that integrate data on electricity use, weather, and location factors, in consultation with targeted stakeholders and community members, and (4) developing a full proposal to implement the Community Energy program in the Mueller community. The project involves collaboration with the Pecan Street Institute in Austin, which collects detailed household electricity data on over 300 homes in the Mueller neighborhood and has well-established relationships with residents, local government, developers and the local business community.
Jason Dedrick
Jason Dedrick is a Professor in the School of Information Studies at Syracuse University. He also is a Faculty Fellow at the Syracuse Center of Excellence. His research interests include the globalization of information technology, the economic and organizational impacts of IT, the offshoring of knowledge work, global value chains in the IT and wind energy industries, adoption of smart grid technologies by electric utility companies, and privacy issues related to smart meters. He is Principal Investigator on grants from the National Science Foundation and the Alfred P. Sloan Foundation. Professor Dedrick holds a Ph.D. in Management from the University of California, Irvine, and a Masters in Pacific International Affairs from the University of California, San Diego.
Performance Period: 08/15/2017 - 06/30/2020
Institution: Syracuse University
Award Number: 1737550