Code and Data for Potential for natural evaporation as reliable renewable energy resource

<b>See ReadMe.docx for more details.</b><b>dBmTMY3</b>This csv file is a 21 column by 340910 row database that stores 365
days of mean meteorological conditions for 934 weather stations identified in
the Typical Meteorological Year (TMY) 3 dataset provided by the DOE/NREL [1].
The first 14 columns are a re-processing product of the daily averaging across
the TMY for that specific location. The last 7 columns are the result of
calculations using a model of an evaporation driven engine operating at
steady-state<br><b>dBGLWDTMY3</b>This csv is a 14 column by 11049 row database that stores the locations
and sizes of 11048 lakes and reservoirs larger than 0.1 km2 across the
contiguous US as identified by Lehner and Döll [2]. At each location, we
interpolate the annual mean power density, reduced evaporation rate, and
surface temperature elevation possible due to using evaporation driven engines
from the dBmTMY3 dataset. Using the surface area, we calculate the total power
available and annual water savings. We also note the distance to the nearest
TMY3 weather station and the USAF Code of the station. The first 7 rows are extracted
from Lehner and Döll [2], columns 8 – 12 are calculated at each location, and
columns 13 &amp; 14 are determined between Lehner and Döll [2] and the TMY3
database [1].<br><b>dBCAv2010</b>, <b>dBTXv2010</b>, and <b>dBNYv2010</b> Each csv file is a 159 column by 26281 row databases that stores 26280
hours of meteorological conditions for three respective Class 1 weather
stations (USAF Codes 723815, 722650, 725020) identified in the Typical
Meteorological Year 3 dataset provided by the DOE/NREL [1]. Each database uses
an annual normalized demand curve of 2010 provided by the respective
Independent System Operator (CAISO [3], ERCOT[4], and NYISO[5]). The first 6
columns are created from the respective TMY3 database [1], columns 7 – 9 are
calculated for no engine conditions, columns 10 – 35 are normalized power load
for 2010 reported by the respective Independent System Operator, and columns 36
– 159 are calculated with a PI control method.