TY  - JOUR
A1  - Rausch, Lea
A1  - Friesen, John
A1  - Altherr, Lena
A1  - Meck, Marvin
A1  - Pelz, Peter F.
T1  - A holistic concept to design optimal water supply infrastructures for informal settlements using remote sensing data
JF  - Remote Sensing
N2  - Ensuring access to water and sanitation for all is Goal No. 6 of the 17 UN Sustainability Development Goals to transform our world. As one step towards this goal, we present an approach that leverages remote sensing data to plan optimal water supply networks for informal urban settlements. The concept focuses on slums within large urban areas, which are often characterized by a lack of an appropriate water supply. We apply methods of mathematical optimization aiming to find a network describing the optimal supply infrastructure. Hereby, we choose between different decentral and central approaches combining supply by motorized vehicles with supply by pipe systems. For the purposes of illustration, we apply the approach to two small slum clusters in Dhaka and Dar es Salaam. We show our optimization results, which represent the lowest cost water supply systems possible. Additionally, we compare the optimal solutions of the two clusters (also for varying input parameters, such as population densities and slum size development over time) and describe how the result of the optimization depends on the entered remote sensing data.
KW  - water supply design
KW  - mathematical optimization
KW  - slum classification
KW  - remote sensing
Y1  - 2018
SN  - 2072-4292
U6  - http://dx.doi.org/10.3390/rs10020216
VL  - 10
IS  - 2
SP  - 1
EP  - 23
PB  - MDPI
CY  - Basel
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  - Rausch, Lea
A1  - Leise, Philipp
A1  - Ederer, Thorsten
A1  - Altherr, Lena
A1  - Pelz, Peter F.
ED  - Papadrakakis, M.
ED  - Ppadopoulos, V.
ED  - Stefanou, G.
ED  - Plevris, V.
T1  - A comparison of MILP and MINLP solver performance on the example of a drinking water supply system design problem
T2  - ECCOMAS Congress 2016 VII European Congress on Computational Methods in Applied Sciences and Engineering
N2  - Finding a good system topology with more than a handful of components is a
highly non-trivial task. The system needs to be able to fulfil all expected load cases, but at the
same time the components should interact in an energy-efficient way. An example for a system
design problem is the layout of the drinking water supply of a residential building. It may be
reasonable to choose a design of spatially distributed pumps which are connected by pipes in at
least two dimensions. This leads to a large variety of possible system topologies. To solve such
problems in a reasonable time frame, the nonlinear technical characteristics must be modelled
as simple as possible, while still achieving a sufficiently good representation of reality. The
aim of this paper is to compare the speed and reliability of a selection of leading mathematical
programming solvers on a set of varying model formulations. This gives us empirical evidence
on what combinations of model formulations and solver packages are the means of choice with the current state of the art.
KW  - Technical Operations Research
KW  - Mixed-Integer Nonlinear Optimisation
KW  - Solver Per- formance
KW  - Drinking Water Supply
KW  - System Design Problem
Y1  - 2016
SN  - 978-618-82844-0-1
N1  - ECCOMAS Congress 2016
VII European Congress on Computational Methods in Applied Sciences and Engineering, 5–10 June 2016.Crete Island, Greece
SP  - 8509
EP  - 8527
ER  -