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Hydropower Python Library

From the CORGIS Dataset Project

By Ryan Whitcomb
Version 2.0.0, created 6/1/2016
Tags: hydropower, dams, lakes, rivers, waterways, irrigation, human consumption, industrial use, aquaculture, navigability, energy, electricity

Overview

Recent Federal policies and legislation focus on moving the nation towards a cleaner energy economy that includes developing environmentally appropriate renewable energy projects involving solar, wind and waves, geothermal, biofuels, and hydropower. The 2010 Federal Memorandum of Understanding for Hydropower and the Energy Policy Act of 2005 direct the U.S. Department of Reclamation to evaluate development of new hydropower projects at Federally-owned facilities and upgrade or rehabilitate existing hydropower generation facilities, as a contribution to the nation’s clean energy goals. The following data describes the facilities currently being operated that contribute to nationwide renewable energy strategies.

http://www.usbr.gov/power/AssessmentReport/

Explore Structure

Each row represents $MISSING_FIELD.

Index Type Example Value
0 dict { }
1 dict (same structure)
2 dict (same structure)
... ... ...
Key Type Example Value Description
"Dimensions" dict { }
"Identity" dict { }
"Location" dict { }
Key Type Example Value Description
"Crest Elevation" float 1520.0 $MISSING_FIELD
"Crest Length" float 3800.0 $MISSING_FIELD
"Structural Height" float 86.0 $MISSING_FIELD
Key Type Example Value Description
"Name" str "Agate Dam" $MISSING_FIELD
"Watercourse" str "Dry Creek" $MISSING_FIELD
"Project" dict { }
Key Type Example Value Description
"County" str "Jackson" $MISSING_FIELD
"Latitude" float 42.4155 $MISSING_FIELD
"Longitude" float -122.7723 $MISSING_FIELD
"State" str "Oregon" $MISSING_FIELD
Key Type Example Value Description
"Organization" str "Rogue River Basin" $MISSING_FIELD
"Year" int 1965 $MISSING_FIELD

Downloads

Download all of the following files.

  1. hydropower.py
  2. hydropower.data

Usage

import hydropower
dam = hydropower.get_dam()

Documentation

get_dam()
Returns a list of dictionaries representing dam.