Effects of Internet of Things (IOT) Integration on Energy Efficiency, Performance, and Reliability at Naval Installation Microgrids
Abstract
This study employs model-based simulations to compare a smart microgrid, integrating internet of things (IoT) capabilities, with a baseline conventional microgrid seen in naval installation power systems. The research assesses IoT technologies' potential to boost energy efficiency, performance, and reliability in microgrids. The models encompass renewable and diesel generators, along with battery storage systems. Differing in power generation switching logic and demand anticipation, simulations span a year of islanded microgrid operations under varying power sources and environmental conditions. Results offer insights into power generation, supply to critical loads, and more, for baseline and IoT smart microgrid configurations. Findings reveal that the IoT-enabled microgrid outperforms the baseline microgrid in overall demand satisfaction. Notably, after a 10-year Monte Carlo simulation a 102.1-hour increase to average annual availability for the IoT smart microgrid over the baseline microgrid occurred. Moreover, energy efficiency gains of 2.35% translate to extended diesel generator operational hours. Each microgrid model contains simplifications and assumptions, potentially limiting its representation of real-world complexities. By incorporating IoT-based sensing and control systems, the overall energy management and reliability of microgrid systems can be enhanced thus enabling a more readily available power supply for critical operations.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2023
- Accession Number
- AD1224530
Entities
People
- Andrew L. Nolen
- Brock O. Oakes
- Jared L. Mccallum
- Michael J. Schartung
- Scott A. Bulter
Organizations
- Naval Postgraduate School