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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents

Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.

Stanley, T. et al National Renewable Energy Laboratory

Aug 10, 2021
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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release

DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...

Stanley, T. et al National Renewable Energy Laboratory

Apr 01, 2020
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Distributed Solar Technoeconomic Agent Characteristics dSTAC

These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described further below many of the m...

Kwasnik, T. and Sigrin, B. National Renewable Energy Laboratory

Feb 07, 2019
51 Resources
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Grid Connected Functionality

Dataset demonstrating the potential benefits that residential buildings can provide for frequency regulation services in the electric power grid. In a hardware-in-the-loop (HIL) implementation, simulated homes along with a physical laboratory home are coordinated via a grid aggreg...

Baker, K. et al National Renewable Energy Laboratory

Jun 21, 2016
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Impact of uncoordinated plug-in electric vehicle charging on residential power demand supplementary data

This data set is provided in support of a forthcoming paper: "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," [1]. These files include electricity demand profiles for 200 households randomly selected among the ones available in the 2009 R...

Muratori, M. National Renewable Energy Laboratory

Jun 13, 2017
3 Resources
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Techno-Economic Simulation Results Using dGeo for EGS-Based District Heating in the Northeastern United States

This dataset presents the results of techno-economic simulations performed using the Distributed Geothermal Market Demand Model (dGeo) to evaluate the feasibility of Enhanced Geothermal Systems (EGS)-based district heating in the Northeastern United States. Developed by the Nation...

Pauling, H. National Renewable Energy Laboratory

Sep 30, 2024
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Thermal Cooling Water Datasets for Electric Sector Modeling

This spreadsheet contains data inputs associated with representations of water (i.e., use, supply, costs) for thermo-electric based production. Values in this spreadsheet have been used to support multiple transmission-related planning studies, using models such as Regional Energy...

Cohen, S. et al National Renewable Energy Laboratory

Sep 09, 2024
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PV Inverter Experimental Dataset Version 2 with 100 Percent Power

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...

Prabakar, K. et al National Renewable Energy Laboratory

Nov 10, 2023
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PV Inverter Experimental Data

Prabakar, K. et al National Renewable Energy Laboratory

Jan 06, 2023
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Battery Inverter Experimental Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We used controllable AC supply...

Prabakar, K. et al National Renewable Energy Laboratory

Jan 06, 2023
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Split Phase Inverter Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the experiments. We used controllable ...

Prabakar, K. et al National Renewable Energy Laboratory

Mar 23, 2023
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EPRI Report: Enhancing Geothermal Representation in EPRI's US-REGEN Model

This report examines improvements to the representation of geothermal resources and technologies, including hydrothermal, near-field, and deep enhanced geothermal systems (EGS), in EPRI's US-REGEN capacity expansion model. Using updated datasets from the National Renewable Energy ...

Molar-Cruz, A. and Johnson, N. National Renewable Energy Laboratory

Dec 13, 2024
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Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies

This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...

Bush, B. National Renewable Energy Laboratory

Aug 01, 2020
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Kansas High Resolution Wind Resource

A shapefile of annual average wind resource potential for Kansas, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shape...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory