# Annual Irradiance
Calculate solar irradiance (W/m2) and radiation (kWh/m2) at each time step provided by a wea file.
The fundamental calculation of this recipe is the same as that of
[Annual Daylight Enhanced](https://github.com/pollination/annual-daylight-enhanced) in that a detailed
accounting of direct sun is computed at each time step. However, the recipe computes
broadband solar irradiance in W/m2 instead of visible illuminance in lux.
The detailed matrices of W/m2 at each time step are stored under `results/total`.
Detailed matrices of just the direct component (W/m2) are output to `results/direct`.
The following values are also recorded for each sensor point under the `metrics` folder:
* `average_irradiance`: The average irradiance in W/m2 over the Wea time period
* `peak_irradiance`: The highest irradiance value in W/m2 during the Wea time period
* `cumulative_radiation`: The cumulative radiation in kWh/m2 over the Wea time period
The `peak_irradiance` value is suitable for assessing the worst-case solar load
on cooling design days or the highest radiant temperatures that occupants might
experience in over the time period of the Wea.
Raw data
{
"_id": null,
"home_page": "https://github.com/pollination/annual-irradiance",
"name": "pollination-annual-irradiance",
"maintainer": "mostapha, ladybug-tools",
"docs_url": null,
"requires_python": "",
"maintainer_email": "mostapha@ladybug.tools, info@ladybug.tools",
"keywords": "honeybee,radiance,ladybug-tools,daylight,annual-irradiance",
"author": "ladybug-tools",
"author_email": "info@ladybug.tools",
"download_url": "https://files.pythonhosted.org/packages/78/41/f7e4c5c223f1b969388618a9fa019793905aa02d76cadb28576f6cf2ec29/pollination-annual-irradiance-0.4.3.tar.gz",
"platform": null,
"description": "# Annual Irradiance\n\nCalculate solar irradiance (W/m2) and radiation (kWh/m2) at each time step provided by a wea file.\n\nThe fundamental calculation of this recipe is the same as that of\n[Annual Daylight Enhanced](https://github.com/pollination/annual-daylight-enhanced) in that a detailed\naccounting of direct sun is computed at each time step. However, the recipe computes\nbroadband solar irradiance in W/m2 instead of visible illuminance in lux.\n\nThe detailed matrices of W/m2 at each time step are stored under `results/total`.\nDetailed matrices of just the direct component (W/m2) are output to `results/direct`.\nThe following values are also recorded for each sensor point under the `metrics` folder:\n\n* `average_irradiance`: The average irradiance in W/m2 over the Wea time period\n* `peak_irradiance`: The highest irradiance value in W/m2 during the Wea time period\n* `cumulative_radiation`: The cumulative radiation in kWh/m2 over the Wea time period\n\nThe `peak_irradiance` value is suitable for assessing the worst-case solar load\non cooling design days or the highest radiant temperatures that occupants might\nexperience in over the time period of the Wea.\n",
"bugtrack_url": null,
"license": "PolyForm Shield License 1.0.0, https://polyformproject.org/wp-content/uploads/2020/06/PolyForm-Shield-1.0.0.txt",
"summary": "Annual irradiance recipe for Pollination.",
"version": "0.4.3",
"project_urls": {
"Homepage": "https://github.com/pollination/annual-irradiance",
"docker": "https://hub.docker.com/r/ladybugtools/honeybee-radiance",
"icon": "https://raw.githubusercontent.com/ladybug-tools/artwork/master/icons_components/honeybee/png/annualirrrecipe.png"
},
"split_keywords": [
"honeybee",
"radiance",
"ladybug-tools",
"daylight",
"annual-irradiance"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8041db44bb0ff9d0bf6977818e5de65114499c6683e57b175aa2094ae684bfd5",
"md5": "6b46785d80170f941e4448f3805b6805",
"sha256": "38c286b281db56727f8ee38783881de18bb3ec0677543d5952ccf273758a85ae"
},
"downloads": -1,
"filename": "pollination_annual_irradiance-0.4.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "6b46785d80170f941e4448f3805b6805",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 11992,
"upload_time": "2023-09-13T20:57:51",
"upload_time_iso_8601": "2023-09-13T20:57:51.393088Z",
"url": "https://files.pythonhosted.org/packages/80/41/db44bb0ff9d0bf6977818e5de65114499c6683e57b175aa2094ae684bfd5/pollination_annual_irradiance-0.4.3-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "7841f7e4c5c223f1b969388618a9fa019793905aa02d76cadb28576f6cf2ec29",
"md5": "4884bb93698b7fabec9820c100b6193b",
"sha256": "398f983e89b05d7df9158b27aa2d2c881e4fe1a03e4f81317d5e71bdd995e1ed"
},
"downloads": -1,
"filename": "pollination-annual-irradiance-0.4.3.tar.gz",
"has_sig": false,
"md5_digest": "4884bb93698b7fabec9820c100b6193b",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 11551,
"upload_time": "2023-09-13T20:57:53",
"upload_time_iso_8601": "2023-09-13T20:57:53.375523Z",
"url": "https://files.pythonhosted.org/packages/78/41/f7e4c5c223f1b969388618a9fa019793905aa02d76cadb28576f6cf2ec29/pollination-annual-irradiance-0.4.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-09-13 20:57:53",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "pollination",
"github_project": "annual-irradiance",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"requirements": [],
"lcname": "pollination-annual-irradiance"
}