TY  - CHAP
A1  - Schänzle, Christian
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Pelz, Peter
T1  - TOR – Towards the energetically optimal ventilation system
KW  - Energy
KW  - Efficiency
KW  - Ventilation System
KW  - Discrete Optimisation
KW  - TGA
Y1  - 2015
N1  - EST 2015, Karlsruhe, 19-21 Mai 2015
ER  - 
TY  - CHAP
A1  - Rausch, Lea
A1  - Friesen, John
A1  - Altherr, Lena
A1  - Pelz, Peter F.
ED  - Kliewer, Natalia
ED  - Ehmke, Jan Fabian
ED  - Borndörfer, Ralf
T1  - Using mixed-integer programming for the optimal design of water supply networks for slums
T2  - Operations Research Proceedings 2017
N2  - The UN sets the goal to ensure access to water and sanitation for all people by 2030. To address this goal, we present a multidisciplinary approach for designing water supply networks for slums in large cities by applying mathematical optimization. The problem is modeled as a mixed-integer linear problem (MILP) aiming to find a network describing the optimal supply infrastructure. To illustrate the approach, we apply it on a small slum cluster in Dhaka, Bangladesh.
Y1  - 2018
SN  - 978-3-319-89919-0 (Print)
SN  - 978-3-319-89920-6 (Online)
U6  - http://dx.doi.org/10.1007/978-3-319-89920-6_68
N1  - International Conference of the German Operations Research Society (GOR), Freie Universiät Berlin, Germany, September 6-8, 2017.
SP  - 509
EP  - 516
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Müller, Tim M.
A1  - Schmitt, Andreas
A1  - Leise, Philipp
A1  - Meck, Tobias
A1  - Altherr, Lena
A1  - Pelz, Peter F.
A1  - Pfetsch, Marc E.
T1  - Validation of an optimized resilient water supply system
T2  - Uncertainty in Mechanical Engineering
N2  - Component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.
KW  - Optimization
KW  - Mixed-integer nonlinear programming
KW  - Water distribution system
KW  - Resilience
KW  - Validation
Y1  - 2021
SN  - 978-3-030-77255-0
SN  - 978-3-030-77256-7
U6  - http://dx.doi.org/10.1007/978-3-030-77256-7_7
N1  - Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7–8, 2021
SP  - 70
EP  - 80
PB  - Springer
CY  - Cham
ER  -