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FOSWEC v2: System identification and control testing at Hinsdale Wave Research Laboratory

This report summarizes the design and execution of a wave tank test of the floating oscillating surge wave energy converter (FOSWEC) in the O.H. Hinsdale Wave Research Laboratory Directional Wave Basin at Oregon State University. This device, which uses two "flaps" that pivot abou...

Coe, R. et al Sandia National Laboratories

Feb 01, 2020
2 Resources
0 Stars
Publicly accessible

Wave Tank Testing Report for Controls Validation of a Heaving Point Absorber

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 the attained improvements using wave tank and full scale testing. In parallel, we will bring a...

Previsic, M. et al Re Vision Consulting

Aug 26, 2020
3 Resources
0 Stars
Publicly accessible

ALFA Non-linear Ocean Waves and PTO Control Strategy

Data from Advanced Laboratory and Field Arrays (ALFA) Non-linear Ocean Waves and Power Take-Off (PTO). Control Strategy project conducted at the O.H. Hinsdale Wave Research Laboratory (HWRL) at Oregon State University in 2019/2020. Contains two zip files (ALFANL.zip, ALFANL2.zip)...

Bosma, B. et al Pacific Marine Energy Center (PMEC)

Oct 28, 2019
9 Resources
0 Stars
Publicly accessible

Form EIA-906, EIA-920, and EIA-923 Databases

The EIA-906, EIA-920, EIA-923 and predecessor forms provide monthly and annual data on generation and fuel consumption at the power plant and prime mover level. A subset of plants, steam-electric plants 10 MW and above, also provides boiler level and ge...

Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
5 Resources
0 Stars
In curation

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
6 Resources
0 Stars
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Fallon FORGE: 3D Geologic Model

The 3D geologic model for the Fallon for site was constructed in EarthVision software using methods similar to (Moeck et al., 2009, 2010; Faulds et al., 2010b; Jolie et al., 2012, 2015; Hinz et al., 2013a; Siler and Faulds, 2013; Siler et al., 2016a, b) References are included in ...

Blankenship, D. and Siler, D. Sandia National Laboratories

Mar 01, 2018
1 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...

Huggins, J. and Laboratory, N. National Renewable Energy Laboratory

Dec 01, 2015
7 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)

Huggins, J. and Laboratory, N. National Renewable Energy Laboratory

Oct 19, 2016
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)

Huggins, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 13, 2017
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)

Huggins, J. and Laboratory, N. National Renewable Energy Laboratory

Oct 24, 2018
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)

Huggins, J. and Laboratory, N. National Renewable Energy Laboratory

Oct 25, 2019
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

Huggins, J. National Renewable Energy Laboratory (NREL)

Dec 01, 2020
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

Huggins, J. National Renewable Energy Laboratory (NREL)

Dec 01, 2021
4 Resources
0 Stars
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Economic Impact of Permitting Timelines on Produced Geothermal Power

Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...

Neupane, G. and Adhikari, B. Idaho National Laboratory

Feb 15, 2022
3 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

Huggins, J. National Renewable Energy Laboratory (NREL)

Nov 21, 2022
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...

Huggins, J. National Renewable Energy Laboratory (NREL)

Apr 05, 2024
4 Resources
0 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)

Huggins, J. National Renewable Energy Laboratory (NREL)

Nov 06, 2024
4 Resources
0 Stars
Publicly accessible

Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value

Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...

Seel, J. et al Lawrence Berkeley National Lab

Sep 30, 2020
5 Resources
0 Stars
Publicly accessible

MASK2B Initial Results from Wave Tank Test of Closed-Loop WEC Control

This dataset covers the MASK2B wave tank experiment focused on a more complete study of one degree of freedom (1DOF) control of the WEC was considered, including maximization of electrical power, multi-objective performance mapping, and implementation of a novel predictionless con...

Coe, R. et al Sandia National Laboratories

May 25, 2018
3 Resources
0 Stars
Publicly accessible

RivGen Deployment Control System Specifications and Models, Igiugig, AK

Control System simulation models, case studies, and processing codes for analyzing field data. Raw data files included from VFD and SCADA. MatLab and Simulink are required to open some data files and all model files.

Forbush, D. et al Ocean Renewable Power Company

Mar 21, 2016
2 Resources
0 Stars
Publicly accessible

Coordinated Control of Tidal Cross-flow Turbines

Initial laboratory experiments with coordinated phase control of cross-flow turbines in a dense array.

Polagye, B. University of Washington

Dec 06, 2016
5 Resources
0 Stars
Publicly accessible

Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value for 2012-2020

Seel, J. et al Lawrence Berkeley National Lab

Oct 01, 2021
4 Resources
1 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)

Huggins, J. and Laboratory, N. National Renewable Energy Laboratory

Jul 13, 2015
5 Resources
1 Stars
Publicly accessible

Advanced WEC Dynamics and Controls, Test 1

Numerous studies have shown that advanced control of a wave energy converter's (WEC's) power take off (PTO) can provide significant increases (on the order of 200-300%) in WEC energy absorption. Transitioning these control approaches from simplified paper studies to application in...

Coe, R. Sandia National Laboratories

Feb 26, 2016
3 Resources
0 Stars
Publicly accessible

Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation

The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system confi...

Luo, F. et al Stony Brook University

Jul 17, 2023
6 Resources
0 Stars
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FOSWEC v2: System identification and control testing at Hinsdale Wave Research Laboratory

Wave Tank Testing Report for Controls Validation of a Heaving Point Absorber

ALFA Non-linear Ocean Waves and PTO Control Strategy

Form EIA-906, EIA-920, and EIA-923 Databases

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Fallon FORGE: 3D Geologic Model

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2014)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)

Economic Impact of Permitting Timelines on Produced Geothermal Power

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)

Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value

MASK2B Initial Results from Wave Tank Test of Closed-Loop WEC Control

RivGen Deployment Control System Specifications and Models, Igiugig, AK

Coordinated Control of Tidal Cross-flow Turbines

Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value for 2012-2020

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2013)

Advanced WEC Dynamics and Controls, Test 1

Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation