Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments.

• DOI: 10.48550/arxiv.1604.08622
• Publication Date: 2017-04-18
• Authors: de Leon Barido, D...; Suffian, S; Rosa, J; Brewer, E; Kammen, DM
• Keywords: 0211 other engineering and technologies; Systems and Control (eess.SY); 02 engineering and technology; cs.SY; Electrical Engineering and Systems Science - Systems and Control; 7. Clean energy; Climate Action; Affordable and Clean Energy; 13. Climate action; 11. Sustainability; 0202 electrical engineering, electronic engineering, information engineering; FOS: Electrical engineering, electronic engineering, information engineering

The increased penetration of uncertain and variable renewable energy presents various resource and operational electric grid challenges. Micro-level (household and small commercial) demand-side grid flexibility could be a cost-effective strategy to integrate high penetrations of wind and solar energy, but literature and field deployments exploring the necessary information and communication technologies (ICTs) are scant. This paper presents an exploratory framework for enabling information driven grid flexibility through the Internet of Things (IoT), and a proof-of-concept wireless sensor gateway (FlexBox) to collect the necessary parameters for adequately monitoring and actuating the micro-level demand-side. In the summer of 2015, thirty sensor gateways were deployed in the city of Managua (Nicaragua) to develop a baseline for a near future small-scale demand response pilot implementation. FlexBox field data has begun shedding light on relationships between ambient temperature and load energy consumption, load and building envelope energy efficiency challenges, latency communication network challenges, and opportunities to engage existing demand-side user behavioral patterns. Information driven grid flexibility strategies present great opportunity to develop new technologies, system architectures, and implementation approaches that can easily scale across regions, incomes, and levels of development.