TY  - JOUR
A1  - Altherr, Lena
A1  - Leise, Philipp
A1  - Pfetsch, Marc E.
A1  - Schmitt, Andreas
T1  - Algorithmic design and resilience assessment of energy efficient high-rise water supply systems
JF  - Applied Mechanics and Materials
N2  - High-rise water supply systems provide water flow and suitable pressure in all levels of tall buildings. To design such state-of-the-art systems, the consideration of energy efficiency and the anticipation of component failures are mandatory. In this paper, we use Mixed-Integer Nonlinear Programming to compute an optimal placement of pipes and pumps, as well as an optimal control strategy.Moreover, we consider the resilience of the system to pump failures. A resilient system is able to fulfill a predefined minimum functionality even though components fail or are restricted in their normal usage. We present models to measure and optimize the resilience. To demonstrate our approach, we design and analyze an optimal resilient decentralized water supply system inspired by a real-life hotel building.
KW  - MINLP
KW  - Buffering Capacity
KW  - Uncertainty
KW  - Water Supply Networks
KW  - Booster Stations
Y1  - 2018
U6  - http://dx.doi.org/10.4028/www.scientific.net/AMM.885.211
SN  - 1662-7482
VL  - 885
SP  - 211
EP  - 223
PB  - Trans Tech Publications
CY  - Bäch
ER  - 
TY  - JOUR
A1  - Altherr, Lena
A1  - Joggerst, Laura
A1  - Leise, Philipp
A1  - Pfetsch, Marc E.
A1  - Schmitt, Andreas
A1  - Wendt, Janine
T1  - On obligations in the development process of resilient systems with algorithmic design methods
JF  - Applied Mechanics and Materials
N2  - Advanced computational methods are needed both for the design of large systems and to compute high accuracy solutions. Such methods are efficient in computation, but the validation of results is very complex, and highly skilled auditors are needed to verify them. We investigate legal questions concerning obligations in the development phase, especially for technical systems developed using advanced methods. In particular, we consider methods of resilient and robust optimization. With these techniques, high performance solutions can be found, despite a high variety of input parameters. However, given the novelty of these methods, it is uncertain whether legal obligations are being met. The aim of this paper is to discuss if and how the choice of a specific computational method affects the developer’s product liability. The review of legal obligations in this paper is based on German law and focuses on the requirements that must be met during the design and development process.
KW  - legal obligations
KW  - product liability
KW  - design of technical systems
KW  - optimization
KW  - resilience
Y1  - 2018
SN  - 1662-7482
U6  - http://dx.doi.org/10.4028/www.scientific.net/AMM.885.240
VL  - 885
IS  - 885
SP  - 240
EP  - 252
PB  - Trans Tech Publications
CY  - Bäch
ER  -