Dataset for "Indoor environment quality and work performance in ‘green’ office buildings in the Middle East"

This data was collected from 13 office buildings in Amman Jordan. It covers five green 'LEED' buildings and eight conventional buildings. The dataset includes the following:

1. Objective data of four thermal conditions indicators (air temperature, mean radiant temperature, relative humidity and air speed) and an indoor air quality indicator: carbon dioxide concentration level.
2. Subjective data include the post-occupancy evaluation (POE) and absenteeism and presenteeism data.
3. Thermal comfort indicators included thermal sensation votes, thermal preference vote, and predictive mean vote.

Keywords:
POE, thermal comfort, absenteeism, presenteeism, jordan
Subjects:

Cite this dataset as:
Elnaklah, R., 2020. Dataset for "Indoor environment quality and work performance in ‘green’ office buildings in the Middle East". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00863.

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Access restrictions apply: The data file is under embargo until 6 March 2021.

Coverage

Collection date(s):

From 15 July 2017 to 14 February 2019

Geographical coverage:

Amman, Jordan

Documentation

Data collection method:

The objective data has two themes: continuous measurements and spot measurements. Continuous measurements were undertaken using Raspberry Pi-based sensors to investigate the actual performance of buildings over long time. Monitored buildings were provided with 83 Raspberry Pis to monitor air temperature and relative humidity, and 21 Raspberry Pis to monitor CO2. The periodic spot measurements which complied with ISO 7730:2005 and ISO 7726:2001 were conducted to assist in evaluating the occupants’ thermal comfort and calculate the Predicted Mean Vote (PMV). Spot measures were done simultaneously to the time of the survey using the HD 32.3 instrument.

Data processing and preparation activities:

All monitored buildings were given a code as the organizations required their data to be anonymised.

Technical details and requirements:

Continuous measures: Raspberry Pi-based sensors Spot measure: HD 32.3 kit from Delta OHM.

Additional information:

The data were categorized into two groups according to the building type: green and conventional.

Documentation Files

Readme.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (22kB)
Creative Commons: Attribution 4.0

This document explains all the codes used in the survey and illustrates the instruments used for each type of data collected.

Templates

survey.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (59kB)
Creative Commons: Attribution 4.0

The survey used

Legal and Ethical Documents

Study Consent Form.doc
application/msword (34kB)
Creative Commons: Attribution 4.0

Consent form

Data Management Plans

Data Management Plan.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (18kB)
Creative Commons: Attribution 4.0

Data managment plan

Funders

Al Ahliyya Amman University

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

The Active Building Centre Research Programme (ABC RP)
EP/V012053/1

Publication details

Publication date: 21 July 2020
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00863

URL for this record: https://researchdata.bath.ac.uk/id/eprint/863

Related articles

Elnaklah, R., Fosas, D. and Natarajan, S., 2020. Indoor environment quality and work performance in “green” office buildings in the Middle East. Building Simulation. Available from: https://doi.org/10.1007/s12273-020-0695-1.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Rana Elnaklah

Departments:

Faculty of Engineering & Design
Architecture & Civil Engineering

Research Centres & Institutes
Centre for Energy and the Design of Environments (EDEn)