Modules
bed.model
@Date: @authors: @Project: bed v0.0
License: BSD 2-Clause, see LICENSE and DISCLAIMER files Copyright (c) 2022, Battelle Memorial Institute
bed.read_data
bed.get_data
- bed.get_data.get_data(folder='/home/runner/work/bed/bed/docs/downloaded_data', link='https://github.com/JGCRI/pytemplate/raw/dev/examples.zip')[source]
Download and unpack example data supplement from Zenodo current installed distribution. :param folder: Full path to the folder to save data to :type folder: str :param link: Full path to data download link :type link: str return save_path as a string
bed.demand
- bed.demand.demand(calibration_coefficient=1, degree_hours=1, thermal_conductance=1, surface_to_floor_ratio=1, internal_gain=1, satiation=1, income_per_capita=1, service_price=1)[source]
- Parameters
calibration_coefficient – Float for calibration coefficient (Unitless)
degree_hours – Array for degree hours (Hours)
thermal_conductance – Float for thermal conductance (GJ/m2 hour C)
surface_to_floor_ratio – Float for surface to floor ratio (Unitless)
internal_gain – Float for Internal Gain (GJ/m2)
satiation – Array for region and sector-specific demand satiation (unitless)
income_per_capita – Array for per-capita income (2010 USD)
service_price – Array for weighted average of technologies used (2010 USD)
- Returns
Array for demand
- bed.demand.temperature_to_degree_hours(temperature=1, weighted_population=1, temperature_unit='F', comfortable_temperature=65)[source]
- Parameters
temperature – Array for temperature (F)
temperature_unit – String for temperature unit
comfortable_temperature – Array for comfortable temperature
weighted_population – Array for weighted population (unitless)
- Returns