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Advanced Control Systems for Wave Energy ConvertersSource

This submission contains several papers, a final report, descriptions of a theoretical framework for two types of control systems, and descriptions of eight real-time flap load control policies with the objective of assessing the potential improvement of annual average capture efficiency at a reference site on an MHK device developed by Resolute Marine Energy, Inc. (RME). The submission also contains an LCOE model that estimates the performance and related energy cost improvements that each advanced control system might provide and recommendations for improving DOE's LCOE model. The two types of control systems are for wave energy converters which transform data into commands that, in the case of RME's OWSC wave energy converter, provide real-time adjustments to damping forces applied to the prime mover via the power take-off system (PTO). The control theories developed were: 1) Model Predictive Control (MPC) or so-called "non-causal" control whereby sensors deployed seaward of a wave energy converter measure incoming wave characteristics and transmit that information to a data processor which issues commands to the PTO to adjust the damping force to an optimal value; and 2) "Causal" control which utilizes local sensors on the wave energy converter itself to transmit information to a data processor which then issues appropriate commands to the PTO. The two advanced control policies developed by Scruggs and Re Vision were then compared to a simple control policy, Coulomb damping, which was utilized by RME during the two rounds of ocean trials it had conducted prior to the commencement of this project. The project work plan initially included a provision for RME to conduct hardware-in-the-loop (HIL) testing of the data processors and configurations of valves, sensors and rectifiers needed to implement the two advanced control systems developed by Scruggs and Re Vision Consulting but the funding for that aspect of the project was cut at the conclusion of Budget Period 1. Accordingly, more work needs to be done to determine: a) means and feasibility of implementing real-time control; and b) added costs associated with such implementation taking into account estimated effects on system availability in addition to component costs.

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CoulombHydrokineticLCOEMHKMPCMarineOWSCPTORMERe Vision ConsultingResolute MarineSWANSurgeWECWWIIIcausalcausal controlcodecomparisoncontrolcontrol systemsconvertercostcoulomb dampingeconomicsenergyfeedforward controlsmethodologymodelmodel predictive controlnon-causalnon-causal controloceanoscillatingpowerpower-take-offpredictedpredictivereceding-horizonreportsimplestochasticsurge convertersystemtechnologywave
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PDFDOCXXLSX
National Renewable Energy Laboratory (NREL)about 1 year ago
Carbon Emissions Embodied in Direct Investment Indicators MethodologySource

Carbon Emissions Embodied in Direct Investment Methodology

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CO2 emissionsDirect investmentgross fixed capital formationmethodologyvalue added
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The International Monetary Fund (IMF)11 months ago
Environmental Goods Trade Indicators MethodologySource

Environmental Goods Trade Indicators Methodology

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International tradecomparative advantageenvironmental goodsexportsgoodsimportsmethodology
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The International Monetary Fund (IMF)11 months ago
Low Carbon Technology Products Trade Indicators MethodologySource

Low Carbon Technology Products Trade Indicators Methodology

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International tradecomparative advantageexportsimportslow carbon technology productsmethodology
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The International Monetary Fund (IMF)11 months ago
Methodology for prediction of oil recovery by infill drilling

DE-AC22-93BC14964

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Enhanced Gas RecoveryGeologydrillinginfillmethodologyoilprediction
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PDF
National Energy Technology Laboratory (NETL)about 1 year ago
NREL GIS data: Bhutan Wind Power Density at 50m Above Ground LevelSource

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using wind speed data and the turbine's power curve, which describes the turbines operating power at different wind speeds. Using data found from this analysis, estimates can be made for the best potential locations for wind energy throughout Bhutan.

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50mBhutanGISWind Power Densitydataenergygeospatialgeospatial vectormapmethodologyprocessed datarenewable energyresource mappingshape filewind
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ZIPPDF
National Renewable Energy Laboratory (NREL)about 1 year ago
Refining of Methodology for Characterization of Shoreline Barrier Reservoirs

NIPER-484 topical report

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GeologyNIPER-484barriercharacterizationmethodologyreservoirsshorelinetopical report
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PDF
National Energy Technology Laboratory (NETL)about 1 year ago
Tularosa Basin Play Fairway Analysis: Methodology Flow ChartsSource

These images show the comprehensive methodology used for creation of a Play Fairway Analysis to explore the geothermal resource potential of the Tularosa Basin, New Mexico. The deterministic methodology was originated by the petroleum industry, but was custom-modified to function as a knowledge-based geothermal exploration tool. The stochastic PFA flow chart uses weights of evidence, and is data-driven.

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Fort BlissMcGregor RangeNew MexicoPFAStochasticTularosaTularosa Basincertaintydeterministicdeterministicsexplorationflow chartgeothermalkrigingmethodologyplay fairway analysisprobabilityprobability krigingweights of evidencewofe
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National Renewable Energy Laboratory (NREL)about 1 year ago
an Integrated science based methodologySource

The data is secondary in nature. Meaning that no data was generated as part of this review effort. Rather, data that was available in the peer-reviewed literature was used. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: there is no data base. This dataset is associated with the following publication: Tolaymat , T., A. El Badawy, R. Sequeira, and A. Genaidy. An integrated science-based methodology to assess potential risks and implications of engineered nanomaterials. Diana Aga, Wonyong Choi, Andrew Daugulis, Gianluca Li Puma, Gerasimos Lyberatos, and Joo Hwa Tay JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 298: 270-281, (2015).

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methodologynanomaterialsrisk
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United State Environmental Protection Agencyabout 1 year ago