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@PHDTHESIS{Vering:956305,
author = {Vering, Christian},
othercontributors = {Müller, Dirk and Elbel, Stefan},
title = {{O}ptimale {A}uslegung von {W}ärmepumpensystemen für
{B}estandsgebäude; 1. {A}uflage},
volume = {114},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {E.ON Energy Research Center, RWTH Aachen University},
reportid = {RWTH-2023-04070},
isbn = {978-3-948234-28-7},
series = {E.ON Energy Research Center : EBC, Energy Efficient
Buildings and Indoor Climate},
pages = {Online-Ressource : Illustrationen, Diagramme},
year = {2023},
note = {Druckausgabe: 2023. - Auch veröffentlicht auf dem
Publikationsserver der RWTH Aachen University; Dissertation,
RWTH Aachen University, 2023},
abstract = {To protect the climate, the 21st century urgently requires
sustainable energy use in all sectors, pushing the
replacement of conventional energy systems. In particular,
the optimal design of energy systems gains importance,
considering economic, environmental, and social factors.
However, the design of energy systems requires many
decisions that directly depend on system technology, its
operating characteristics, and its disposal. Therefore, the
sustainable use can only be ensured if the underlying
dependencies throughout the entire life cycle are already
considered in the design step. This work presents a
computer-aided method for optimal energy system design that
integrates operating characteristics (decisions on the
control domain) into the design (decisions on the design
domain). By integrating the cross-domain decision variables
into one method, energy systems can be optimally designed.
Design and operating characteristics (operational management
and effects) are linked step by step in a dynamic simulation
model using systematic process intensification. Air-to-water
heat pump systems serve as a case study of themethod and
represent an essential element for the electrification of
the heat supply of existing buildings. Air-to-water heat
pump systems are subject to dynamic boundary conditions
during operation and exhibit operational effects (partial
load behavior, operating envelope, thermal disinfection, and
frosting of the evaporator), which are integrated into the
design process. For design optimization, objective functions
for economic efficiency (annualized cost) and environmental
impacts (equivalent CO2-emissions) are chosen. For
single-family houses in multiple scenarios, the method
robustly designs optimal heat pump systems. The optimally
designed heat pumpsystems maintain the required thermal
comfort. To verify the design results, a refrigerant
laboratory is being developed to study refrigerants,
refrigeration cycles, heat pump systems, refrigeration cycle
controllers, and system controllers. A hardware-in-the-loop
flammable refrigerant environment is being developed to
operate a propane heat pump. Corresponding experiments
demonstrate interactions between design and operation and
highlight the need for integrated design procedures. In
summary, the developed method enables a cross-domain,
optimal design, which, through abstraction
ofrecommendations, pushes long-term sustainable use of
energy in the building sector to protect the climate.},
cin = {419510 / 080052},
ddc = {620},
cid = {$I:(DE-82)419510_20140620$ / $I:(DE-82)080052_20160101$},
pnm = {Urban Energy Lab 4.0 - Kältemittellabor (EFRE-0500029)},
pid = {G:(DE-82)EFRE-0500029},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2023-04070},
url = {https://publications.rwth-aachen.de/record/956305},
}
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