UH Manoa Resilient Microgrid

The focus of this project is to develop a representative computer simulation model of the electrical distribution system of the University of Hawaii at Manoa campus.  The model build process consists of forming the grid topology, inputting electrical asset characteristics, and calibrating model efficacy using actual load data.  Circuit monitoring devices will be placed at strategic locations to gather electrical feeder loading and performance data.  Backed by this real-world data, the calibrated computer model will provide a holistic systems view for making informed decisions and optimizing

Molokai Secure Renewable Microgrid

The Molokaʻi Microgrid Project focuses on improving power system operation with high penetration levels of distributed photovoltaics (PV) on a small electrically islanded micro grid. The Hawai‘i Natural Energy Institute (HNEI) is leading this research and demonstration effort providing overall project management, power system monitoring, modeling, planning, and design support for microgrid components.

Project Profile: Molokai Microgrid

Smart Grid Technology

Managing Distribution System Resources for Improved Service Quality and Reliability, Transmission Congestion Relief, and Grid Support Functions (2008 – 2014)

JumpSMART Maui

HNEI is supporting a large-scale smart grid project led by technology provider Hitachi, which seeks to integrate high levels of photovoltaics (PV), wind energy, and electric vehicles into an island based smart grid environment on Maui. HNEI serves a key technical advisory role and is guiding the close coordination of project development and execution across all three Maui-sited smart grid projects.


Coconut Island Microgrid

Coconut Island aims to demonstrate the value and cost-effectiveness of combining various advanced smart grid and renewable energy technologies within a DC microgrid designed to support multiple critical loads, all within a highly corrosive marine environment.  The GridSTART team at the Hawaii Natural Energy Institute is overseeing and executing the project which includes initial data collection and assessment, system/circuit modeling, DC microgrid design, microgrid implementation, and post-implementation assessments.


Battery Energy Storage System (BESS)

The focus is to deploy, operate, and validate the performance of four grid-scale Battery Energy Storage Systems (BESS) for various ancillary service applications on grid systems across the state. Large scale battery energy storage systems will become an important part of the electric grid in the near future and it will be essential to ensure their reliability. The objective of this project is to understand the degradation of the individual batteries to anticipate failures.

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