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Chefornak Energy Configuration Options: Energy Infrastructure Optimization to Reduce Fuel Cost and Dependence in Chefornak, Alaska
The U.S. Department of Energy is funding, through the Grid Modernization Program, the Alaska Microgrid Partnership (AMP), a multi-stakeholder collaborative comprised of national labs and Alaska based partners. The over-arching goal of AMP is to reduce the use of total imported fue...
Jimenez, A. U.S. Department of Energy
Dec 31, 2017
System Advisor Model (SAM) General Description (Version 2017.9.5)
This document provides a general description of the System Advisor Model (SAM) version 2017.9.5. It explains the software's purpose as a free techno-economic modeling tool for evaluating renewable energy projects, including photovoltaic, wind, concentrating solar, geothermal, and ...
Keith, J. et al NLR
May 01, 2018
A Comparative Study of DC and AC Microgrids in Commercial Buildings Across Different Climates and Operating Profiles: Preprint
Bosch has developed and demonstrated a novel DC microgrid system designed to maximize utilization efficiency for locally generated photovoltaic energy while offering high reliability, safety, redundancy, and reduced cost compared to equivalent AC systems. Several demonstration pro...
Fregosi, D. et al Robert Bosch LLC
Mar 31, 2015
Techno-Economic Analysis of a Microgrid System for Rural Communities in the United States
Access to running water has been a pressing issue in many developing countries across the globe, and also continues to be a problem in some rural areas in the United States. Today, more than two million Americans living in rural areas lack access to basic water supply and infrastr...
Nakhai, A. et al NLR
Dec 31, 2022
Cost-Optimal Pathways to 75% Fuel Reduction in Remote Alaskan Villages: Preprint
There are thousands of isolated, diesel-powered microgrids that deliver energy to remote communities around the world at very high energy costs. The Remote Communities Renewable Energy program aims to help these communities reduce their fuel consumption and lower their energy cost...
Simpkins, T. et al NLR
Dec 31, 2014
Impacts of Dispatch Strategies and Forecast Errors on the Economics of Behind-the-Meter PV-Battery Systems
To assess the economic value of batteries in hybrid PV-battery systems, one must create a dispatch profile for the battery. Many analyses of battery value assume perfect forecasts of PV generation and load, determining an upper limit on the value of the battery. Prior work that ac...
Mirletz, B. and Laws, N. NLR
Dec 31, 2022
Economic Dispatch for Microgrid Containing Electric Vehicles via Probabilistic Modeling: Preprint
In this paper, an economic dispatch model with probabilistic modeling is developed for a microgrid. The electric power supply in a microgrid consists of conventional power plants and renewable energy power plants, such as wind and solar power plants. Because of the fluctuation in...
Yao, Y. et al University of Denver
Jan 31, 2016
ESIC Energy Storage Commissioning Guide
This report updates the previously published Energy Storage Integration Council (ESIC) Energy Storage Commissioning Guide 2018. In order to align with the rapidly changing energy storage technology space, these guidelines were refined to address how commissioning can be most effic...
Electric Power Research Institute
Dec 31, 2022
Distributed Renewables for Arctic Energy: A Case Study
Alaska is a vast state that stretches into the Arctic Circle. Roughly 140,000 people in the state are dependent on isolated electric grids, traditionally burning expensive fossil fuels. This has negative impacts on air quality and climate. As the climate warms, fuel supply chains ...
Anderson, B. et al NLR
Dec 31, 2022
The Value of Battery Storage in Military Microgrids: An Assessment for ESTCP
Fixed military installations cannot function without a reliable supply of electricity. The U.S. Department of Defense’s (DoD’s) mission is under increasing threat as the power backbone of installations faces growing risk from grid power outages, especially as outages of up to ...
Marqusee, J. et al NLR
Dec 31, 2019
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