Development of a Data Analytics Platform for an Electrical/Water Microgrid

Abstract

Data enabled systems can offer multiple improvements over traditional systems, including higher efficiency, higher reliability, and lower maintenance cost. There has been a large growth in the development of data enabled systems in various industrial sectors, such as energy, manufacturing, and water distribution systems. In order to achieve a data enabled system, it is paramount to develop an analytical platform by collecting data, and formulating and monitoring key performance indicators (KPIs). This paper presents a multilayer structured communication and data analytic framework to collect real-time, high-fidelity data for a full scale electrical microgrid and water system testbed. The system has deployed various electrical and water sensors, communication interfaces, data streaming libraries, cloud programming and storage, data dashboards, and an HMI. Actual water and electrical test systems were built to test this replicable platform.