%global _empty_manifest_terminate_build 0 Name: python-pollination-pmv-comfort-map Version: 0.8.16 Release: 1 Summary: PMV thermal comfort map for Pollination. License: PolyForm Shield License 1.0.0, https://polyformproject.org/wp-content/uploads/2020/06/PolyForm-Shield-1.0.0.txt URL: https://github.com/pollination/pmv-comfort-map Source0: https://mirrors.aliyun.com/pypi/web/packages/cc/69/8193d1b1d2a39401366e3d6a6f35926f4a27674f5723fd52f4195cceb0b2/pollination-pmv-comfort-map-0.8.16.tar.gz BuildArch: noarch Requires: python3-pollination-ladybug Requires: python3-pollination-ladybug-comfort Requires: python3-pollination-honeybee-radiance Requires: python3-pollination-honeybee-energy Requires: python3-pollination-lbt-honeybee Requires: python3-pollination-alias Requires: python3-pollination-path Requires: python3-pollination-honeybee-display %description # PMV Comfort Map PMV thermal comfort map recipe for Pollination. Compute spatially-resolved PMV thermal comfort from a Honeybee model and EPW. This recipe also computes operative temperature or (optionally) Standard Effective Temperature (SET). Raw results are written into a `results/` folder and include CSV matrices of hourly temperatures, thermal conditions and PMV. Processed metrics of Thermal Comfort Percent (TCP) can be found in the `metrics/` folder. Input conditions to the comfort model are written to an `initial_results/conditions` folder. ## Methods This recipe uses EnergyPlus to obtain surface temperatures and indoor air temperatures + humidities. Outdoor air temperatures, relative humidities, and air speeds are taken directly from the EPW. All outdoor points are assumed to be at one half of the EPW meteorological wind speed (effectively representing wind speed at ground/human height). Longwave radiant temperatures are achieved by computing spherical view factors from each sensor to the surfaces of the model using Radiance. These view factors are then multiplied by the surface temperatures output by EnergyPlus to yield longwave MRT at each sensor. All indoor shades (eg. those representing furniture) are assumed to be at the room-average MRT. For outdoor sensors, the EnergyPlus outdoor surface temperatures are used and each sensor's sky view is multiplied by the EPW sky temperature to account for longwave radiant exchange with the sky. All outdoor context shades and the ground are assumed to be at the EPW air temperature unless they have been modeled as Honeybee rooms. A Radiance-based enhanced 2-phase method is used for all shortwave MRT calculations, which precisely represents direct sun by tracing a ray from each sensor to the solar position. The energy properties of the model geometry are what determine the reflectance and transmittance of the Radiance materials in this shortwave calculation. To determine Thermal Comfort Percent (TCP), the occupancy schedules of the energy model are used. Any hour of the occupancy schedule that is 0.1 or greater will be considered occupied. For outdoor sensors, all hours are considered occupied. %package -n python3-pollination-pmv-comfort-map Summary: PMV thermal comfort map for Pollination. Provides: python-pollination-pmv-comfort-map BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pollination-pmv-comfort-map # PMV Comfort Map PMV thermal comfort map recipe for Pollination. Compute spatially-resolved PMV thermal comfort from a Honeybee model and EPW. This recipe also computes operative temperature or (optionally) Standard Effective Temperature (SET). Raw results are written into a `results/` folder and include CSV matrices of hourly temperatures, thermal conditions and PMV. Processed metrics of Thermal Comfort Percent (TCP) can be found in the `metrics/` folder. Input conditions to the comfort model are written to an `initial_results/conditions` folder. ## Methods This recipe uses EnergyPlus to obtain surface temperatures and indoor air temperatures + humidities. Outdoor air temperatures, relative humidities, and air speeds are taken directly from the EPW. All outdoor points are assumed to be at one half of the EPW meteorological wind speed (effectively representing wind speed at ground/human height). Longwave radiant temperatures are achieved by computing spherical view factors from each sensor to the surfaces of the model using Radiance. These view factors are then multiplied by the surface temperatures output by EnergyPlus to yield longwave MRT at each sensor. All indoor shades (eg. those representing furniture) are assumed to be at the room-average MRT. For outdoor sensors, the EnergyPlus outdoor surface temperatures are used and each sensor's sky view is multiplied by the EPW sky temperature to account for longwave radiant exchange with the sky. All outdoor context shades and the ground are assumed to be at the EPW air temperature unless they have been modeled as Honeybee rooms. A Radiance-based enhanced 2-phase method is used for all shortwave MRT calculations, which precisely represents direct sun by tracing a ray from each sensor to the solar position. The energy properties of the model geometry are what determine the reflectance and transmittance of the Radiance materials in this shortwave calculation. To determine Thermal Comfort Percent (TCP), the occupancy schedules of the energy model are used. Any hour of the occupancy schedule that is 0.1 or greater will be considered occupied. For outdoor sensors, all hours are considered occupied. %package help Summary: Development documents and examples for pollination-pmv-comfort-map Provides: python3-pollination-pmv-comfort-map-doc %description help # PMV Comfort Map PMV thermal comfort map recipe for Pollination. Compute spatially-resolved PMV thermal comfort from a Honeybee model and EPW. This recipe also computes operative temperature or (optionally) Standard Effective Temperature (SET). Raw results are written into a `results/` folder and include CSV matrices of hourly temperatures, thermal conditions and PMV. Processed metrics of Thermal Comfort Percent (TCP) can be found in the `metrics/` folder. Input conditions to the comfort model are written to an `initial_results/conditions` folder. ## Methods This recipe uses EnergyPlus to obtain surface temperatures and indoor air temperatures + humidities. Outdoor air temperatures, relative humidities, and air speeds are taken directly from the EPW. All outdoor points are assumed to be at one half of the EPW meteorological wind speed (effectively representing wind speed at ground/human height). Longwave radiant temperatures are achieved by computing spherical view factors from each sensor to the surfaces of the model using Radiance. These view factors are then multiplied by the surface temperatures output by EnergyPlus to yield longwave MRT at each sensor. All indoor shades (eg. those representing furniture) are assumed to be at the room-average MRT. For outdoor sensors, the EnergyPlus outdoor surface temperatures are used and each sensor's sky view is multiplied by the EPW sky temperature to account for longwave radiant exchange with the sky. All outdoor context shades and the ground are assumed to be at the EPW air temperature unless they have been modeled as Honeybee rooms. A Radiance-based enhanced 2-phase method is used for all shortwave MRT calculations, which precisely represents direct sun by tracing a ray from each sensor to the solar position. The energy properties of the model geometry are what determine the reflectance and transmittance of the Radiance materials in this shortwave calculation. To determine Thermal Comfort Percent (TCP), the occupancy schedules of the energy model are used. Any hour of the occupancy schedule that is 0.1 or greater will be considered occupied. For outdoor sensors, all hours are considered occupied. %prep %autosetup -n pollination-pmv-comfort-map-0.8.16 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pollination-pmv-comfort-map -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Jun 09 2023 Python_Bot - 0.8.16-1 - Package Spec generated