PCS Database

This repository is for a database of PCS (Personal Comfort System) such as a desk fan and foot warmer. Each PCS cooling/heating effects on the human body was quantified using a thermal manikin in a climate controlled chamber at the IEQLab of The University of Sydney.

The repository contains the data and the related code to generate database as the following file structure. Please note that all the image files are not stored in this repository due to the limited storage of this repository, but you can access them at here upon request.

```
├── code # Python code to generate the database
├── data
├── raw_data # Output results from the thermal manikin
├── processed_data # Processed data by the code
├── PCS_Database.csv # Database
└── metadata.json # For detailed descriptions
├── figure # For generated figures
├── image # For images of experiment/each PCS
├── manuscript
├── presentation
├── reference
└── out
``

Database Metadata

Schema Description (Generated on 2025-09-03 12:27:42)

Parameter	Type	Description	Example
PCS_ID	integer	Unique PCS identifier (integer number)	1
PCS_Name	string	Unique PCS descriptor identifier	Desk Fan_Dyson
Category	string	Category of the PCS. Must be one of:Cooling, Heating.	Cooling
Physical_Effect	string	Physical effect of the PCS. Must be one or more: Convective, Conductive, Radiant, Evaporative.	Convective
Type	string	Type of PCS (e.g., fan, foot warmer).	Small desk fan
Size	number	PCS dimensions in the following format: height, length, width (cm)	20, 20, 3
Brand	string	Brand name of the PCS. If it is a prototype, give it a name.	Simpeak
Product_Reference	string	Reference product URL or project landing page.	http://...
Availability	string	Market availability. Must be one of:Market-ready, Prototype.	Market-ready
Image	string	Name of the image file of the PCS in JPEG or PNG format (preference for high resolution 300dpi)	example.jpg
Publication	string	DOI or URL for a publication where this data is presented.	10.53540/tjer.vol18iss2pp62-71
PCS_Level	string	Selected level for the test/total PEC control available levels. Example, for a fan with 10 speed levels, level 3 is selected: 3/10.	Low
Price_USD	number	Price of the PCS in US dollars.	10
Year	number	Year of the study	10
Angle_Horizontal	number	Horizontal angle between the middle of PCS and the middle of target body part (degrees).	125.0
Distance_Horizontal	number	Horizontal distance between the middle of the PCS and target body part (cm).	60.0
Distance_Vertical	number	Vertical distance between the middle of the PCS and target body part (cm).	10.0
Target_Body	string	Body Segment targeted by PCS.	Face
Plug_Power	number	Power supply of the PCS (W).	10
Research_Center	string	Facility where the measurement was taken.	The University of Sydney
Country	string	Country where the study was performed.	Australia
Posture	string	Posture of the manikin during measurement (e.g., standing, sitting).	Sitting
Context	string	Type of building or vehicle considered in the experiment (e.g., office, car).	Office
Manikin_Company	string	Manufacturer of the thermal manikin used.	PT Manikins
Manikin_Type	string	Manikin capability. Non-wired manikins should not be included. Must be one of:Thermal, Sweating.	Thermal
Manikin_Gender	string	Gender representation of the thermal manikin. Must be one of:Male, Female.	Female
Manikin_Body_Segments	integer	Number of body segments of the thermal manikin.	22
Control_Method	string	Method used to control the PCS (e.g., manual, automatic). Must be one of:TskControl, HeatFluxControl, ComfortControl.	TskControl
{Condition}_Ta	number	Ambient air temperature (°C).	25
{Condition}_MRT	number	Mean radiant temperature (°C).	25
{Condition}_RH	number	Relative humidity (%).	50
{Condition}_V	number	Air velocity (m/s). Body part information follows this parameter. See:#/definitions/Condition	0.1
{Condition}_Tsk_{BodyPart}	number	Skin temperature for each body part(°C). Body part information follows this parameter. See:#/definitions/Condition and #/definitions/BodyPart	34
{Condition}_P_{BodyPart}	number	Power supply for each body part (W). Body part information follows this parameter. See:#/definitions/Condition and #/definitions/BodyPart	100
Delta_Teq_{BodyPart}	number	Change in equivalent temperature for each body part (°C). Body part information follows this parameter. See:#/definitions/BodyPart	1
Delta_P_{BodyPart}	number	Change in power supply from the manikin for each body part (W). Body part information follows this parameter. See:#/definitions/BodyPart	10
Clo_{BodyPart}	number	Clothing insulation for each body part. Body part information follows this parameter. See:#/definitions/BodyPart	1
Condition_without_PCS	string	File path to the raw data without PCS.	ID0_NoPCS.csv
Condition_with_PCS	string	File path to the raw data with PCS.	ID1_Small desk fan (grey).csv

Definitions

• BodyPart(type: object) - Properties: Crown, Head, Left_Chest, Right_Chest, Left_Back, Right_Back, Abdomen, Buttocks, Left_Upper_Arm, Right_Upper_Arm, Left_Forearm, Right_Forearm, Left_Hand, Right_Hand, Left_Front_Thigh, Right_Front_Thigh, Left_Back_Thigh, Right_Back_Thigh, Left_Lower_Leg, Right_Lower_Leg, Left_Foot, Right_Foot
• Condition(type: object) - Properties: Baseline, PCS

Contribution

We welcome contributions to this database from external participats.

General Rules

• Casing: Please use snake case for your code and file names.

Data Sharing Policy

The data in this repository is shared under the following conditions:

1. Who the data are shared with:This repository is public, giving access to general public.
2. Where the data are stored:The data are stored in this GitHub repository managed by IEQ Lab at The University of Sydney.
3. Where the data will be published: The data will be published in journal/conference papers and integrated into a web application hosted by UC Berkeley: https://abc.cbe.berkeley.edu/.

⚠️Please do not include any personal or sensitive information (e.g., subject names, email addresses) in this repository. All data must be properly anonymized before sharing.

Contact

If you have any questions or requests regarding the PCS database, please contact:

• Akihisa Nomoto (monyo323232@gmail.com)
• Maira Andre (maira.andre@sydney.edu.au)

Other Information

There is an example PCS database