Measurement data on the window opening behavior and climate in a strongly daylit office building

The long-term measurement data presented in this article result were collected in a strongly daylit office building under real working conditions and include temperature and wind speed of the outdoor situation as well as climatic variables of the indoor space, such as temperature and relative humidity. In addition to the measurement of environmental variables, the window opening behavior was also logged. The entire data acquisition was implemented via the building control system and was performed with a one-minute resolution. An exception to this is the recording of the window openings, which were logged on change of state. The measurement data obtained can be combined with other measurement data to provide an improved data basis for energy building simulations, prediction models and energy potential assessments.


Specifications
Architecture Specific subject area Energy and environment of strongly daylit buildings Type of data .csv data How the data were acquired The field measurement of temperature and relative humidity inside (Thermokon, SR04 CO2; logged as integer value), temperature and wind speed outside (Thermokon, AGS54 + ; WAREMA Renkhoff SE, MWG Wind Type 3H; logged as floating-point number) and window openings (Thermokon, SRW01; logged as boolean) was carried out via a BECKHOFF Embedded PC (CX5140-0141). BECKHOFF's own TwinCAT 2 software was used to convert the measurement data collected by the sensors into a machine-precessable data format (.csv data). Data format Raw data Description of data collection The current value of temperature (inside and outside) and relative humidity as well as wind speed were recorded every minute. Logging of window openings was performed for change of state. The measurement period covers exactly 2 years (Sep 2020 to Sep 2022), except for wind measurements. Due to a gradual implementation of extensions of the data logging via the central building control system, the recording of wind measurement started later,

Value of the Data
• User preferences and user behavior can be significantly responsible for deviations between predicted values from building simulation and measured values from operation [1] . Highresolution measurement data collected under real conditions, such as these datasets, can be useful for researchers to develop improved simulation models, which can then help reduce the performance gaps. In this regard, the present datasets can be used specifically to test such models. • The dataset in this article [2] also provides researchers with valuable information about the real indoor climate in a daylit open-plan office, for example, to assess the thermal comfort preferences of occupants and to perform analyses of the causal relationships between indoor climatic conditions and window opening behavior. These datasets also provide information on thermal impacts in buildings with large window areas, for example to define retrofit strategies. • Researchers in the fields of building simulation and building controls could use these data in combination with other building measurement data to develop more accurate predictive models or predictive controls, and to compare the data with other studies conducted in other climates and application contexts. • The datasets in this article can also help researchers in the field of building technology and control system developers to identify potential energy savings and derive measures to improve user comfort based on correlation analysis of the collected data. Control strategies could consider the user's interaction pattern with the window in the context of the historical evolution of the indoor environment (up to the user's action) from an energy perspective. • Further, the data sets provided can help architects and building engineers to relate the energy, visual and non-visual benefits of a high daylight office building to the indoor climate. Based on such an idea, building services systems such as façade systems, HVAC and artifi-cial lighting can be better selected and sized in the construction planning phase, as well as variants of the building envelope.

Objective
The office building of the research and development department of Bartenbach GmbH was designed as a Living Lab. Numerous sensors record the building situation during operation in order to evaluate and further develop building controls and concepts via post-occupancy evaluations. The focus of the Living Lab is primarily on daylight and artificial light. The window opening behavior and the climate are recorded additively by sensors and made available to the scientific community as part of this Data in Brief. The measurement data can be obtained from [2] .

Data Description
The measurement data are divided into four datasets. The following table ( Table 1 ) lists the associated measured variables, including unit and measurement period: In the datasets (1) to (3), the measurements are listed as a continuous time series in a resolution per minute and with an associated timestamp (Data were logged 24h a day). The window openings in (4) are specified as a Boolean quantity (1 = window open, 0 = window closed) and with reference to the time of a change of state (on open to closed and vice versa). The duration of open or closed windows can accordingly be determined from the difference of the time stamps with the respective state. All timestamps are in ISO 8601 format "YYYY-MM-DD hh:mm:ss" [3] .
For the recorded temperature values and for the values of relative humidity, the minima and maxima as well as mean values were determined by calendar month ( Table 2 )  Foehn winds occur regularly in the Alpine region of Tyrol. The external screen on the south façade, which is used not only for glare protection but also to prevent overheating, retracts at  Overview of the minimum and maximum values as well as the average values separated by day and night of indoor temperature, outdoor temperature and relative humidity in the office building of Bartenbach GmbH (location Aldrans, Austria); representation per calendar month. For the minimum and maximum values, the first detection is listed (multiple values possible). Daytime period: 06:0 0-20:0 0, nighttime period 20:0 0-06:0 0, based on the period of typical space use of the study object (see [4]

Building specifications and location information
The Bartenbach GmbH office building ( Fig. 3 ), located in Aldrans, Austria, which serves as the study object, is situated in a humid-cool temperate zone according to the descriptive climate classification. According to the Köppen-Geiger climate classification, the target area is subject to  a humid summer warm continental climate (Dfb) [5 , 6] . In addition, the Austrian Central Institute for Meteorology and Geodynamics (ZAMG) provides online data on air temperature, precipitation and sunshine duration for the nearby city of Innsbruck in a monthly, seasonal and annual representation [7] .
The multifunctional office building has one floor and a basement. The office space consists of an open-plan office (161.7 m ², 28 workplaces), in which the temperature and relative humidity were measured, and two individual offices separated by transparent glass walls (15.6 m ² and 14.7 m ²), as well as a meeting room (9.7 m ²) -see Fig. 4 . A south façade with large window areas and a north-facing skylight can create a high level of daylight autonomy (daylight autonomy: DA 500;8-18 = 81.56% (based on 500 lx according to EN12464-1, 08:0 0-18:0 0, excluding daylight saving time, including logic to avoid glare; further details on the daylight simulation in [8] ). To avoid associated glare, there are external static daylight louvres, specially optimized to the geographical location of the building, as well as internal and external automatically controlled screens ( Fig. 5 ). The ceiling height in the center of the room is 2.75 m (bottom of suspended ceiling; 2.90 m bottom of raw ceiling) and rises along the south façade to a room height of almost 4.00 m (bottom of raw ceiling) -see Fig. 5 . The glazed south façade consists of 13 elements with three windows each (total window element: width x height = approx. 2.40 m x 3.20 m). The walls consist of approximately 30 cm thick reinforced concrete. Details of the lighting and control concept of the study object are described in the studies [4] and [8] . The core working hours in this office building are Monday to Thursday from 09:0 0-12:0 0 and 14:00-17:00 and Fridays from 09:0 0-12:0 0.

Measurement methodology
The measurement data from [2] were logged via a BECKHOFF embedded PC (CX5140-0141), on which the integral building control system is implemented. BECKHOFF's own TwinCAT 2 software was used to convert the measurement data collected by the sensors into a machineprocessable data format (.csv). The measurement data of the four multi-sensors for recording temperature and relative humidity in the interior (Thermokon, SR04, CO2) were transmitted to the building control system via EnOcean protocol. The measuring range of this multi-sensor is 0 °C to 51 °C (accuracy: ±1%) and 0% to 100% (accuracy: ±3% between 20...80% rH). Since the CO 2 values were not checked with a calibrated device during the measurement period, the CO 2 -Data were not attached to the Data in Brief. The status changes of the window contact sensors (Thermokon, SRW01) were also transmitted via EnOcean protocol. The measured values of the outdoor temperature sensor and wind sensor were read in as analogue signals via the building control system, converted and logged. The outdoor sensors are located on the roof of a directly adjacent extension to the office building (see Fig. 6 ). The measuring range of the outdoor temperature sensor (Thermokon, AGS54 + ) is -35 °C to 90 °C with an accuracy of typ. ±0.3 °C. The wind sensor (WAREMA, MWG Wind Type 3H) has a measuring range of 0.3 m/s to 50 m/s with   Table 3 .

Limitations of the data collection
In April/May 2021 and April 2022, the data logging of the temperature and humidity measurements was interrupted for several days. This did not affect the data logging of the window openings. For electrical connection reasons, the multi-sensors were installed in a higher position than the normative recommendation according to ASHRAE Standard 55:2013 [9] . In the context of the COVID-19 situation and the resulting greater awareness of the possibility of remote work, lower occupancy is expected, especially for the lockdowns that fall within the data collection period ((1): Mar 16, 2020 to Apr 30, 2020 [10] ; (2): Nov 17, 2020 to Dec 06, 2020 [11 , 12] ; (3): Dec 26, 2020 to Feb 07, 2021 [12] ; (4): Nov 22, 2021 to Dec 11, 2021 [13] ).

Ethics Statements
This Data in Brief does not contain any personal data.

Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability
Measurement data on the window opening behavior and climate in a strongly daylit office building (Original data) (Mendeley Data).