Jakub Kolarik
Technical University of Denmark
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Featured researches published by Jakub Kolarik.
Building Research and Information | 2017
Marcel Schweiker; Xaver Fuchs; Susanne Becker; Masanori Shukuya; Mateja Dovjak; Maren Hawighorst; Jakub Kolarik
ABSTRACT Scales are widely used to assess the personal experience of thermal conditions in built environments. Most commonly, thermal sensation is assessed, mainly to determine whether a particular thermal condition is comfortable for individuals. A seven-point thermal sensation scale has been used extensively, which is suitable for describing a one-dimensional relationship between physical parameters of indoor environments and subjective thermal sensation. However, human thermal comfort is not merely a physiological but also a psychological phenomenon. Thus, it should be investigated how scales for its assessment could benefit from a multidimensional conceptualization. The common assumptions related to the usage of thermal sensation scales are challenged, empirically supported by two analyses. These analyses show that the relationship between temperature and subjective thermal sensation is non-linear and depends on the type of scale used. Moreover, the results signify that most people do not perceive the categories of the thermal sensation scale as equidistant and that the range of sensations regarded as ‘comfortable’ varies largely. Therefore, challenges known from experimental psychology (describing the complex relationships between physical parameters, subjective perceptions and measurement-related issues) need to be addressed by the field of thermal comfort and new approaches developed.
Hvac&r Research | 2010
J⊘rn Toftum; Jakub Kolarik; Dorota Belkowska; Bjarne W. Olesen
This paper presents climate chamber experiment results in which subjects were exposed to increasing and decreasing dynamic temperature drifts while being allowed to adjust their clothing insulation as desired. The objective of the study was to substantiate the scientific basis of the recommendations on drifting temperatures as stated in ASHRAE Standard 55-2004, Thermal Environmental Conditions for Human Occupancy (ASHRAE 2004) and to extend the scope of the recommendations to cover not only thermal comfort, but also the perception of air quality, health, and performance. The experiments addressed both the summer and winter comfort ranges of temperature, and subjects were exposed to rates of temperature change of −1.2 K/h (−2.2°F/h), 0 K/h (0°F/h), 1.2 K/h (2.2°F/h), and 2.4 K/h (4.3°F/h). Exposure duration was 4 h, except for the 2.4 K/h (4.3°F/h) condition when it was 2 h. Thermal sensation responses observed with adjustable clothing insulation did not differ from those observed with fixed clothing insulation, which were reported in an earlier paper. However, with fixed clothing insulation, longer exposures (>4 h) seemed to aggravate general sick-building syndrome (SBS) symptoms, an effect that was not observed with adjustable clothing insulation. In addition, the study did not detect any systematic influence on the performance of operative temperature ramps, regardless of the clothing adjustment opportunity. Although the current study focused on thermal comfort and SBS symptoms and performance, the recommendations on drifting temperatures, as stated in ASHRAE Standard 55 (ASHRAE 2004), were generally verified. But, longer exposures to increasing temperatures may increase the intensity of general SBS symptoms when no opportunity to adjust clothing insulation is available.
Indoor and Built Environment | 2015
Jakub Kolarik; Jørn Toftum; Michal Kabrhel; Filip Jordán; Otmar Geiss; Karel Kabele
Field measurements of perceived air quality were conducted in four refurbished offices at the Czech Technical University in Prague. The offices were refurbished as part of the research project Clear-up to serve as a field test facility. The present paper describes measurements conducted to investigate the perceived air quality, sensory pollution load and concentration of Volatile Organic Compounds (VOCs) in the offices. As the refurbishment comprised also installation of demand controlled ventilation (DCV), its influence on the perceived air quality was also tested. Measurements comprised the assessments of perceived air quality and objective measurements of operative temperature, relative humidity, CO2 and VOCs concentrations. Results showed that the mean sensory pollution load in unoccupied offices was 0.09 ± 0.01 olf/m2 (mean ± SEM). This falls into the category of a low-polluting building according to CEN Report CR 1752. The acceptability of the air quality was worst in unoccupied offices ventilated with minimum air change rate (0.4 h-1). Application of DCV decreased the CO2 concentration, but did not result in statistically significant improvement of perceived air quality.
Design Modelling Symposium 2015 : Modelling Behaviour | 2015
Kristoffer Negendahl; Thomas Perkov; Jakub Kolarik
Early stage building performance optimisation as a viable approach is yet to be applied efficiently in building design processes, especially in the early design stages where the design space is open and changes are inexpensive. This article proposes a method of entire building energy optimisation in the early design stage. The main focus is to demonstrate the optimisation method, which is done in two ways. Firstly, the newly developed agent-based optimisation algorithm named Moth is tested on three different single objective search spaces. Here Moth is compared to two evolutionary algorithms. Secondly, the method is applied to a multivariate optimisation problem. The aim is specifically to demonstrate optimisation for entire building energy consumption, daylight distribution and capital cost. Based on the demonstrations Moth’s ability to find local minima is discussed. It is concluded that agent-based optimisation algorithms like Moth open up for new uses of optimisation in the early design stage. With Moth the final outcome is less dependent on pre- and post-processing, and Moth allows user intervention during optimisation. Therefore, agent-based models for optimisation such as Moth can be a powerful substitute for traditional stochastic optimisation.
Energy and Buildings | 2011
Angela Simone; Jakub Kolarik; Toshiya Iwamatsu; Hideo Asada; Mateja Dovjak; L Lisje Schellen; Masanori Shukuya; Bjarne W. Olesen
Building and Environment | 2012
Erin Darling; Clement Cros; Pawel Wargocki; Jakub Kolarik; Glenn Morrison; Richard L. Corsi
Energy and Buildings | 2011
Jakub Kolarik; Jørn Toftum; Bjarne W. Olesen; Kasper Jensen
Hvac&r Research | 2009
Jakub Kolarik; J⊘rn Toftum; Bjarne W. Olesen; Avharam Shitzer
Building and Environment | 2012
Jakub Kolarik; Jørn Toftum
Energy and Buildings | 2016
Marcel Schweiker; Jakub Kolarik; Mateja Dovjak; Masanori Shukuya