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Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 - 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are...
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The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The...
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This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir...
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This dataset contains turbine- and plant-level power outputs for 252,500 cases of diverse wind plant layouts operating under a wide range of yawing and atmospheric conditions. The power outputs...
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The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting...
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In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are...
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Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and...
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East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and...
Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: September 10, 2026 at 10:14 PM -
This repository contains online actuator and sensor data and associated meta-data collected during the NAWI-funded seedling project with title: Foundational Control Methods for Water Treatment...
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This is a presentation on the Design and Implementation of Innovative Stimulation Treatments to Maximize Energy Recovery Efficiency at the Utah FORGE Site project by The University of Texas at...
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The zipped file contains a directory of data and routines used in the NNMREC turbine depth optimization study (Kawase et al., 2011), and calculation results thereof. For further info, please...
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Dataset contains MHK Hydrofoils Design and Optimization and CFD Analysis Report for the Aquantis 2.5 MW Ocean Current Generation Device, as well as MHK Hydrofoils Wind Tunnel Test Plan and...
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Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling...
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The main objective of the developed software is to reduce the cost per foot during drilling, in other words, optimize the drilling operational parameters in achieving optimum ROP while avoiding...
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Technical report for public dissemination on the design progress for the Advanced TidGen(R) Power System.
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Figure 4 data set. Upper Soldier Creek Climate Scenario Summary. RCP4.5 scenarios for 2021-2050 time frame as compared to 2014 baseline. Simulations were run with an initial groundwater...
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Data underlying Figure 5. Upper Soldier Creek, KS predicted daily total phosphorus loads normalized for year of average precipitation adjusted for climate change (2021 – 2050) based on GISS-E2-H...
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NISTFIT is a heavily abstracted C++-based kernel for fitting correlations. The software is written in our source languages. The current trend in computer architecture is for increasingly parallel...
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The core objectives of this project is to improve the power capture of three different wave energy conversion (WEC) devices by more than 50% using an advanced control system and validate...
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This project focuses on developing a numerical tool to estimate the Levelized Cost of Energy (LCOE) for vessel-mounted hydrokinetic turbines. By leveraging open-source software and public-domain...
Search relevance: 1.00 | Views last month: 2 | Catalog Last Checked: September 10, 2026 at 05:52 PM
