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GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files

Jun 30, 2021
13.6 MB
Publicly accessible
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Authors
Buster, G. et al Upflow
geothermalenergymachine learningoptimizationoperationssynthetic datapower plantbig kahunagoomlgenetic optimizationforecastinputsoutputsconfigurationexamplephygnnphysics guided neural networkssteamfieldsteam fieldwellsflash plantsneural networkdataprocessed datacodepythonsimulationmodel

Design of an Airlift Bioreactor

Mar 13, 2017
417.07 kB
Publicly accessible
An important consideration for the process design is cell immobilization-enabled flow-through operation. Large-scale biosorption relies on cells that are immobilized on a supporting substrate and used to 'attract' metal ions. Cell immobilization allows easy separation of the feed...
Authors
Jiao, Y. et al Lawrence Livermore National Laboratory
geothermalenergybioreactorairliftrare earthbiosorptionadsorptionreebiofilmresource recoverybioadsorption

Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

Mar 10, 2022
66.68 MB
Publicly accessible
In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...
Authors
Levine, A. et al National Renewable Energy Laboratory
geothermalenergycalifornianevadasalton searegulatorybarriersnon-technicalinterviewsenvironmentalstakeholdersnon-technical barriersntbgeoreportseatpermitenvironmental reviewauthorizationseconomiclcoecostfeasibilityprocessed dataannual technology baselineatbimperial countychurchill county

Global Value Chain and Manufacturing Analysis on Geothermal Power Plant Turbines

Mar 30, 2018
4.93 MB
Publicly accessible
In this study, we have undertaken a robust analysis of the global supply chain and manufacturing costs for components of Organic Rankine Cycle (ORC) Turboexpander and steam turbines used in geothermal power plants. We collected a range of market data influencing manufacturing from...
Authors
Akar, S. et al National Renewable Energy Laboratory
geothermalenergymanufacturingturboexpanderorcsteam turbinevalue chainpower plantclean energy manufacturing analysis center

Modeling Responses of Naturally Fractured Geothermal Reservoir to Low-Pressure Stimulation

Jan 01, 2012
4.09 MB
Publicly accessible
Hydraulic shearing is an appealing reservoir stimulation strategy for Enhanced Geothermal Systems. It is believed that hydro-shearing is likely to simulate a fracture network that covers a relatively large volume of the reservoir whereas hydro-fracturing tends to create a small nu...
Authors
Fu, P. and Carrigan, C. Lawrence Livermore National Laboratory
geothermalhydraulic fracturinghydraulic shearingreservoir stimulationreservoir modelingdiscrete fracture networkenhanced geothermal systemegshydro-shearing

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Oct 20, 2021
6.41 MB
Publicly accessible
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...
Authors
Beckers, K. et al National Renewable Energy Laboratory
geothermalenergymachine learningmlsubsurfacecharacterizationbrady hot springsbhspredictionreservoir modelingtime seriespcaprincipal component analysisreservoir managementreservoirdual-porositystimulationinjection testpdetemperatureflowpressuresimulationsingle-fracturedoubletheat maptensorflowcnnlstmmlphydrothermalopen source reservoirosrnevada