<div class="csl-bib-body">
<div class="csl-entry">Takser, I., Reitberger, R., & Lang, W. (2024). Parametric life cycle analysis for the optimization of building construction regarding its grey CO2 emissions and operational energy demand. In T. Bednar & S. Sint (Eds.), <i>BauSIM 2024 Companion Proceedings : 10te Konferenz von IBPSA-DACH, TU Wien, Österreich</i> (pp. 108–113). https://doi.org/10.34726/7644</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/205998
-
dc.identifier.uri
https://doi.org/10.34726/7644
-
dc.description.abstract
To achieve climate protection targets, energy and CO2 emissions should become driving forces in the building design process. However, quantifying operational energy and gray CO2 emissions over the entire life cycle of a building is complex and data intensive. The classic design methodology is unsuitable for a holistic view of sustainability aspects. The parametric design methodology makes it possible to take many parameters into account and to compare a large number of design variants.
This paper shows the workflow of a parametric building simulation. The workflow consists of a combination of life cycle analysis and dynamic building energy simulation. The life cycle analysis quantifies the gray emissions from the production, maintenance, and disposal of a building. The dynamic building energy simulation determines the operational energy demand of the building, from which the CO2 emissions during operation can be derived. The simulation is modeled and carried out using the tools Rhinoceros 3D, Grasshopper, Bombyx, Honeybee and Colibri. The workflow is applied to an existing reinforced concrete building in Germany. The combination of building components (exterior walls, ceilings, roof, and façade) in different construction methods (reinforced concrete construction, massive timber construction, and timber frame construction) results in 48 design variants.
The results of the simulation show optimization potentials for some timber construction variants compared to the existing reinforced concrete construction regarding CO2 emissions over the entire life cycle of the building. With the developed workflow, different design solutions can be compared and CO2 emissions can be reduced over the entire life cycle of a building.
en
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
LCA
en
dc.subject
parametric simulation
en
dc.subject
building energy simulation
en
dc.subject
life cycle
en
dc.title
Parametric life cycle analysis for the optimization of building construction regarding its grey CO2 emissions and operational energy demand
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/7644
-
dc.contributor.affiliation
Technical University of Munich, Germany
-
dc.contributor.affiliation
Technical University of Munich, Germany
-
dc.contributor.affiliation
Technical University of Munich, Germany
-
dc.relation.isbn
978-3-200-10069-5
-
dc.relation.doi
10.34726/7480
-
dc.description.startpage
108
-
dc.description.endpage
113
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
BauSIM 2024 Companion Proceedings : 10te Konferenz von IBPSA-DACH, TU Wien, Österreich
-
tuw.relation.ispartof
http://hdl.handle.net/20.500.12708/205299
-
tuw.researchTopic.id
E1
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.name
Energy Active Buildings, Settlements and Spatial Infrastructures