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@PHDTHESIS{Schmidt:658613,
author = {Schmidt, Carolin},
othercontributors = {van Treeck, Christoph and Kriegel, Martin},
title = {{E}ntwicklung eines {M}odellansatzes zur {B}ewertung der
thermischen {B}ehaglichkeit unter inhomogenen
{K}limabedingungen},
school = {RWTH Aachen},
type = {Dissertation},
address = {Aachen},
reportid = {RWTH-2016-04331},
pages = {1 Online-Ressource (XXXII, 282 Seiten) : Illustrationen,
Diagramme},
year = {2016},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen, 2016},
abstract = {The present thesis focuses on the topic of modeling thermal
comfort in the context of energy-efficient individual
climate control. There are already numerous studies by
international research groups (Melikov et al., 1998; Hoyt et
al., 2009; Schiavon, 2009; Zhang et al., 2010d; Sun et al.,
2013; Zhai et al., 2013; Pasut et al., 2015; Schmidt et al.,
2015a; Taub et al., 2015) that have pointed out the
potential for energy savings resulting from a combined use
of conventional convective interior air-conditioning and
local heating- or cooling-systems. The advantage of such
local devices is that the generated thermal energy is
transmitted directly to the human body where it can act
immediately on the body segments than it is the case wih
conventional solutions. In contrast, currently used
conventional air-conditioning systems are operating
indirectly on the human being by controlling the total
interior climatic conditions of for example a vehicle cabin
or an office. As a consequence, the amount of energy that is
necessary for the climatisation is much higher, because the
total air volume has to be kept on a predefined temperature
level. Apart from the energy savings, it is also interesting
whether it is possible to reach a similar level of thermal
comfort by the use of innovative climate control strategies.
For this reason, there is a need for models that are able to
predict temperature perception and thermal comfort under
such inhomogeneous climate conditions. Most of the thermal
comfort models – some of which are standardized (Fiala,
1998; Zhang; 2003; DIN EN ISO 7730, 2006; DIN EN ISO
14505-2, 2007; ASHRAE Standard 55, 2013) – are not
suitable for applications like this. Reasons for this are
that they are only valid for homogeneous environmental
conditions close to thermal neutrality (Fanger, 1970),
consider only the whole human body (Fanger, 1970; Fiala,
1998) or neglect the influences of contact heat (Fanger,
1970; DIN EN ISO 14505-2, 2007). The latter is of growing
importance in the context of individual climate control. In
consequence, a new modeling approach is introduced in this
work, which predicts thermal comfort with special regard to
asymmetric boundary conditions. The model itself is based on
the calculation of global and local energy balances, which
allows to assess the thermal status for the entire body as
well as for individual body segments. In this regard, an
additional term has been incorporated into the model
balances to consider body segments, that are in contact with
their surrounding structures. The corresponding equations
are based on Fouriers law.The chosen structure serves as a
starting point for future thermal comfort-based climate
control solutions, which primarily draw on information about
the local and overall body`s thermal state as energetic
error signals and the body segments as statements of
location. Along with twelve other known thermal comfort
models, the newly created balance-comfort model has been
implemented in the object-oriented programming language
Modelica/Dymola. Each implemented model has been verified by
the use of data originating from literature. Accordingly,
the new thermal comfort model was tested, verified and
validated for the first time by the use of experimental data
from two successive studies (Schmidt et al., 2013; Schmidt
et al., 2015a). Compared to the original thermal comfort
models of Fanger (1970) and Zhang (2003), the new modelling
approach provides significantly better thermal comfort
predictions. That means, it shows higher correlations with
subject votes and finally proves the general applicability
of the new thermal comfort model itself. However, some
discrepancies in the existing modelling approaches were
identified and quantified within this thesis. For this
reason, given suggestions for improvements should be part of
follow-up work, which aims to optimize the general accuracy
of local thermal comfort models.},
cin = {312410},
ddc = {624},
cid = {$I:(DE-82)312410_20140620$},
typ = {PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-rwth-2016-043313},
doi = {10.18154/RWTH-2016-04331},
url = {https://publications.rwth-aachen.de/record/658613},
}
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