Run reV locally

reV Gen and reV Econ can be run locally using resource .h5 files stored locally.

For users outside of NREL: you can now point reV directly to filepaths on S3! This will stream small amounts of data from S3 directly to your computer without having to setup an IO server like HSDS. See the example for reading data directly from S3 here and try the example below with resource file paths from S3. You will need to do an extra install pip install NREL-reV[s3].

reV Gen

reV Generation uses PySAM to compute technologically specific capcity factor means and profiles. reV Gen uses SAM technology terms and input configuration files

windpower

Compute wind capacity factors for a given set of latitude and longitude coordinates:

import os
import numpy as np
from reV import TESTDATADIR
from reV.config.project_points import ProjectPoints
from reV.generation.generation import Gen

lat_lons = np.array([[ 41.25, -71.66],
                     [ 41.05, -71.74],
                     [ 41.97, -71.78],
                     [ 41.65, -71.74],
                     [ 41.25, -71.7 ],
                     [ 41.05, -71.78]])

# res_file could also be 's3://nrel-pds-wtk/conus/v1.0.0/wtk_conus_2007.h5'
res_file = os.path.join(TESTDATADIR, 'wtk/ri_100_wtk_2012.h5')
sam_file = os.path.join(TESTDATADIR,
                         'SAM/wind_gen_standard_losses_0.json')

pp = ProjectPoints.lat_lon_coords(lat_lons, res_file, sam_file)
gen = Gen('windpower', pp, sam_file, res_file,
          output_request=('cf_mean', 'cf_profile'))
gen.run(max_workers=1)
print(gen.out['cf_profile'])

[[0.319 0.538 0.287 ... 0.496 0.579 0.486]
 [0.382 0.75  0.474 ... 0.595 0.339 0.601]
 [0.696 0.814 0.724 ... 0.66  0.466 0.677]
 ...
 [0.833 0.833 0.823 ... 0.833 0.833 0.833]
 [0.782 0.833 0.833 ... 0.833 0.833 0.833]
 [0.756 0.801 0.833 ... 0.833 0.833 0.833]]

pvwatts

NOTE: pvwattsv5 and pvwattsv7 are both available from reV.

Compute pvcapacity factors for all resource gids in a Rhode Island:

import os
from reV import TESTDATADIR
from reV.config.project_points import ProjectPoints
from reV.generation.generation import Gen

regions = {'Rhode Island': 'state'}

# res_file could also be 's3://nrel-pds-nsrdb/current/nsrdb_2018.h5'
res_file = os.path.join(TESTDATADIR, 'nsrdb/', 'ri_100_nsrdb_2012.h5')
sam_file = os.path.join(TESTDATADIR, 'SAM/naris_pv_1axis_inv13.json')

pp = ProjectPoints.regions(regions, res_file, sam_file)
gen = Gen('pvwattsv5', pp, sam_file, res_file,
          output_request=('cf_mean', 'cf_profile'))
gen.run(max_workers=1)
print(gen.out['cf_mean'])

[0.183 0.166 0.177 0.175 0.167 0.183 0.176 0.175 0.176 0.177]

Command Line Interface (CLI)

reV-gen can also be run from the command line and will output the results to an .h5 file that can be read with rex.resource.Resource.