Cumulative Radiation recipe for Pollination.
Project description
Cumulative Radiation
Cumulative Radiation recipe for Pollination
This recipe calculates average irradiance (W/m2) and cumulative radiation (kWh/m2) over the time period of a specified Wea.
Limitations
This recipe uses Radiance's gendaymtx to generate the sky.
Gendaymtx takes a weather tape as input and produces a matrix of sky patch values
using the Perez all weather model. If there is a sun in the description, gendaymtx
will include its contribution in the four nearest sky patches, distributing energy
according to centroid proximity.
This means that the direct sun is diffused between several sky patches and so the
precise line between shadow and sun for each hour is blurred. This approximation
is fine for studies where the timestep-by-timestep irradiance values do not need
to be exact. For accurate modeling of direct irradiance on a timestep-by-timestep
basis, see the annual_irradiance recipe.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pollination-cumulative-radiation-0.1.0.tar.gz.
File metadata
- Download URL: pollination-cumulative-radiation-0.1.0.tar.gz
- Upload date:
- Size: 8.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0cd1c1008e8d374381d39f7e22fe86ebfcc0bba21ab4636cce9d16378e7be165 |
|
| MD5 | 2f398fc9814edc0e6b6b46784184232d |
|
| BLAKE2b-256 | f96f7124df222f2d47fa2db935f475bd8a98747ec18f5a7c9ebf02b047b78572 |
File details
Details for the file pollination_cumulative_radiation-0.1.0-py2.py3-none-any.whl.
File metadata
- Download URL: pollination_cumulative_radiation-0.1.0-py2.py3-none-any.whl
- Upload date:
- Size: 8.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fa36d9e6bfb5b21ba2475483e45a73945389b8dfcfe683e8de6597925b8366ff |
|
| MD5 | 7911db47aa76cf60f37c98f228d7c280 |
|
| BLAKE2b-256 | fb9dd5a4336a8a9a9b284c2cad4dd5c19241212104a56c7aaecb1522e7adb520 |
