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Title: Dixie Valley Binary Cycle Production Data January-December 2013

Monthly Sensor Data for all of 2013
Authors:
Publication Date:
Report Number(s):
276
DOE Contract Number:
EE0002860
Product Type:
Dataset
Research Org(s):
DOE Geothermal Data Repository; Terra-Gen Sierra Holdings, LLC
Collaborations:
Terra-Gen Sierra Holdings, LLC
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Office (EE-4G)
Subject:
15 Geothermal Energy; geothermal; dixie valley; binary; production report
OSTI Identifier:
1148789
  1. The Geothermal Data Repository (GDR) is the submission point for all data collected from researchers funded by the U.S. Department of Energy's Geothermal Technologies Office (DOE GTO). The DOE GTO is providing access to its geothermal project information through the GDR. The GDR is powered by OpenEI, an energy information portal sponsored by the U.S. Department of Energy and developed by the National Renewable Energy Laboratory (NREL).
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  1. Global emissions of carbon dioxide from the combustion of fossil fuels will reach 36 billion tonnes for the year 2013. "This is a level unprecedented in human history," says CSIRO's Dr Pep Canadell, Executive-Director of the Global Carbon Project (GCP) and co-author of a newmore » report. The GCP provides an annual report of carbon dioxide emissions, land and ocean sinks and accumulation in the atmosphere, incorporating data from multiple research institutes from around the world. The 2013 figures coincide with the global launch of the Global Carbon Atlas, an online platform to explore, visualise and interpret the emissions data at the global, regional and national scales (www.globalcarbonatlas.org). The full data and methods are published today in the journal Earth System Science Data Discussions, and data and other graphic materials can be found at: www.globalcarbonproject.org/carbonbudget. The Global Carbon Budget 2013 is a collaborative effort of the global carbon cycle science community coordinated by the Global Carbon Project. The landing page for this dataset includes links to V. 1.1, issued Nov2013, V.1.3, issued Dec2013, and the June 2014 issue of V.2.3 of the 2013 Global Carbon Budget. « less
  2. Global emissions of carbon dioxide from the combustion of fossil fuels will reach 36 billion tonnes for the year 2013. "This is a level unprecedented in human history," says CSIRO's Dr Pep Canadell, Executive-Director of the Global Carbon Project (GCP) and co-author of a newmore » report. The GCP provides an annual report of carbon dioxide emissions, land and ocean sinks and accumulation in the atmosphere, incorporating data from multiple research institutes from around the world. The 2013 figures coincide with the global launch of the Global Carbon Atlas, an online platform to explore, visualise and interpret the emissions data at the global, regional and national scales (www.globalcarbonatlas.org). The full data and methods are published today in the journal Earth System Science Data Discussions, and data and other graphic materials can be found at: www.globalcarbonproject.org/carbonbudget. The Global Carbon Budget 2013 is a collaborative effort of the global carbon cycle science community coordinated by the Global Carbon Project. « less
  3. To help guide its future data collection efforts, The DOE GTO funded a data gap analysis in FY2012 to identify high potential hydrothermal areas where critical data are needed. This analysis was updated in FY2013 and the resulting datasets are represented by this metadata. Themore » original process was published in FY 2012 and is available here: https://pangea.stanford.edu/ERE/db/GeoConf/papers/SGW/2013/Esposito.pdf Though there are many types of data that can be used for hydrothermal exploration, five types of exploration data were targeted for this analysis. These data types were selected for their regional reconnaissance potential, and include many of the primary exploration techniques currently used by the geothermal industry. The data types include: 1. well data 2. geologic maps 3. fault maps 4. geochemistry data 5. geophysical data To determine data coverage, metadata for exploration data (including data type, data status, and coverage information) were collected and catalogued from nodes on the National Geothermal Data System (NGDS). It is the intention of this analysis that the data be updated from this source in a semi-automated fashion as new datasets are added to the NGDS nodes. In addition to this upload, an online tool was developed to allow all geothermal data providers to access this assessment and to directly add metadata themselves and view the results of the analysis via maps of data coverage in Geothermal Prospector (http://maps.nrel.gov/gt_prospector). A grid of the contiguous U.S. was created with 88,000 10-km by 10-km grid cells, and each cell was populated with the status of data availability corresponding to the five data types. Using these five data coverage maps and the USGS Resource Potential Map, sites were identified for future data collection efforts. These sites signify both that the USGS has indicated high favorability of occurrence of geothermal resources and that data gaps exist. The uploaded data are contained in two data files for each data category. The first file contains the grid and is in the SHP file format (shape file.) Each populated grid cell represents a 10k area within which data is known to exist. The second file is a CSV (comma separated value) file that contains all of the individual layers that intersected with the grid. This CSV can be joined with the map to retrieve a list of datasets that are available at any given site. The attributes in the CSV include: 1. grid_id : The id of the grid cell that the data intersects with 2. title: This represents the name of the WFS service that intersected with this grid cell 3. abstract: This represents the description of the WFS service that intersected with this grid cell 4. gap_type: This represents the category of data availability that these data fall within. As the current processing is pulling data from NGDS, this category universally represents data that are available in the NGDS and are ready for acquisition for analytic purposes. 5. proprietary_type: Whether the data are considered proprietary 6. service_type: The type of service 7. base_url: The service URL « less
  4. We have calculated a chlorite dissolution rate equation at far from equilibrium conditions by combining new data (20 experiments at high temperature) with previously published data Smith et al. 2013 and Lowson et al. 2007. All rate data (from the 127 experiments) are tabulated inmore » this data submission. More information on the calculation of the rate data can be found in our FY13 Annual support (Carroll LLNL, 2013) which has been submitted to the GDR. The rate equation fills a data gap in geothemal kinetic data base and can be used directly to estimate the impact of chemical alteration on all geothermal processes. It is especially important for understanding the role of chemical alteration in the weakening for shear zones in EGS systems. « less
  5. The radar wind profiler (RWP) present at the SGP central facility operates at 915 MHz and was reconfigured in early 2011, to collect key sets of measurements for precipitation and boundary layer studies. The RWP is configured to run in two main operating modes: amore » precipitation (PR) mode with frequent vertical observations and a boundary layer (BL) mode that is similar to what has been traditionally applied to RWPs. To address issues regarding saturation of the radar signal, range resolution and maximum range, the RWP PR mode is set to operate with two different pulse lengths, termed as short pulse (SP) and long pulse (LP). Please refer to the RWP handbook (Coulter, 2012) for further information. Data from the RWP PR-SP and PR-LP modes have been extensively used to study deep precipitating clouds, especially their dynamical structure as the RWP data does not suffer from signal attenuation during these conditions (Giangrande et al., 2013). Tridon et al. (2013) used the data collected during the Mid-latitude Continental Convective Cloud Experiment (MC3E) to improve the estimation of noise floor of the RWP recorded Doppler spectra. « less