Engineering topics
Johnson, Megan
Publications and source records attributed to Johnson, Megan.
2018 Hydropower Market Report Update
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2019HMR_PresentationData
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2019HMR_PresentationMetaData
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2018 Hydropower Market Report Update Meta Data
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U.S. Hydropower Retired Facilities
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Existing Hydropower Assets FY2019
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U.S. Hydropower Development Pipeline Data and Metadata, 2019
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2018 Benefits Study of Emergency IEA Oil Stocks: Final CRADA Report
This CRADA work was performed with the International Energy Agency (IEA) by Oak Ridge National Laboratory (ORNL) to support ongoing IEA, and U.S. DOE, discussions on future oil market challenges by IEA member countries. ORNL completed an update of a 2012 study for the IEA that accounts for changes in oil market and global economic conditions since 2013. The ORNL study evaluates the collective benefits of IEA emergency oil stocks, counting benefits to all countries, not just IEA, that are net oil importers. The IEA provided oil market data and projections, provided recommendations on parameter values and key case assumptions, in coordination with IEA member countries and coordinated the ORNL study with a parallel study on stockholding costs by an IEA subcontractor. IEA also combined the results of the ORNL benefits study and the IEA-funded cost study in a summary report by IEA, Insights Series 2018 - Costs and Benefits of Emergency Stockholding.
Using Meta-Analysis to Estimate World Oil Demand Elasticity
Oil demand elasticities are important behavioral parameters for assessing the effectiveness of many energy policy proposals and the economic impact of oil market shocks. Most of the literature on petroleum demand computes elasticities for one particular petroleum product in a country or group of countries. There are fewer published values for world oil demand elasticity because the reduced-form single equation approach used in much of the petroleum product demand literature leads to endogeneity bias when applied to global demand. This study uses meta-analysis techniques to compute world oil demand elasticity. Metaregressions are first conducted to identify sources of variation in elasticity estimates for transportation and non-transportation sectors collected from 75 studies published from 2000 to 2015. The estimated coefficients from the metaregressions are then summarized into elasticity baseline values for several combinations of moderator variable values. Finally, a global oil demand elasticity is computed as the consumption-weighted average of the two sectoral elasticities. Resulting mean values for the short-run oil demand elasticities with respect to price range from -0.7 to -0.14 depending on the attributes selected for the price variable. The long-run range of mean values is much wider (-0.26, -0.83).
National Hydropower Plant Dataset Version 2 (FY18Q4)
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National Hydropower Plant Dataset, Version 2 (FY18Q3)
The National Hydropower Plant Dataset, Version 2 (FY18Q3) is a geospatially comprehensive point-level dataset containing locations and key characteristics of U.S. hydropower plants that are currently either in the hydropower development pipeline (pre-operational), operational, withdrawn, or retired. These data are provided in GIS and tabular formats with corresponding metadata for each. In addition, we include access to download 2 versions of the National Hydropower Map, which was produced with these data (i.e. Map 1 displays the geospatial distribution and characteristics of all operational hydropower plants; Map 2 displays the geospatial distribution and characteristics of operational hydropower plants with pumped storage and mixed capabilities only). This dataset is a subset of ORNL's Existing Hydropower Assets data series, updated quarterly as part of ORNL's National Hydropower Asset Assessment Program.
2017 Hydropower Market Report
The U.S. hydropower fleet represents 7% of total electricity generation installed capacity (as of the end of 2016) and produces 6.3% of electricity (2014-2016 average). In addition, 43 pumped storage hydropower (PSH) plants with a total capacity of 21.6 GW provide 95% of utility-scale electrical energy storage in the United States. The U.S. fleet is the third largest in the world for both hydropower and PSH.
2017 Hydropower Market Report Highlights
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2017 Hydropower Market Report Data
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2017 Hydropower Market Report Data
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