• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Department of Mathematics
  • FAUTo the central FAU website
  • de
  • UnivIS
  • StudOn
  • meincampus
  • CRIS
  • emergency help

Department of Mathematics

Navigation Navigation close
  • Department
    • Chairs and Professorships
    • Organisation
    • Development Association
    • System Administration
    • Contact and Directions
    • Actual
    Portal Department of Mathematics
  • Research
    • Research Projects
    • Publications
    • Preprint Series Applied Mathematics
    Portal Research
  • Study
    • Advice and Services
    • Prospective students
    • Current students
    • International
    Portal Study
  • Events
  1. Home
  2. EDOM
  3. Projects
  4. Analytics
  5. LeOpIn

LeOpIn

In page navigation: EDOM
  • Overview
  • Team
    • Kevin-Martin Aigner
    • Edeltraud Balser
    • Andreas Bärmann
    • Kristin Braun
    • Jana Dienstbier
    • Patrick Gemander
    • Yiannis Giannakopoulos
    • Lukas Hager
    • Katrin Halbig
    • Beate Kirchner
    • Martina Kuchlbauer
    • Frauke Liers
    • Alexander Martin
    • Alexander Müller
    • Timm Oertel
    • Galina Orlinskaya
    • Florian Rösel
    • Hanno Schülldorf
    • Jonasz Staszek
    • Regine Stirnweiß
    • Sebastian Tschuppik
    • Friedrich Wagner
    • Dieter Weninger
    • Jorge Weston
  • Projects
    • Analytics
      • ADA Lovelace Center
      • Optimal Control of Electrical Distribution Networks with Uncertain Solar Feed-In
      • Optimization of medical care in rural environments
        • HealthFaCT Contents
      • EWave – Water Supply Energy Management System
      • LeOpIn
      • Robust Schedules for Air Traffic Management
      • RobustATM: Robust Optimization of ATM Planning Processes by Modelling of Uncertainty Impact
    • Energy
      • Robustification of Physical Parameters in Gas Networks
      • Adaptive MIP-Relaxations for MINLPs
      • Analysis of the German Electricity Market
      • MIP-based Alternating Direction Methods for High-Detail Stationary Gas Transport MINLPs
      • Decomposition methods for mixed-integer optimal control
      • Optimal allocation of gas network capacities
      • Energy System Analysis
      • Robust Power Load Balancing in Railway Networks
      • Smart Grid Optimization
    • Engineering and Physics
    • Logistics and Production
      • Driver Assistance Systems in Railway Traffic
      • Energy-Efficient Timetable Optimization
      • Joint Locomotive Scheduling and Driver Rostering in Rail Freight Traffic
      • Holistic optimization of trajectrories and runway scheduling
      • Optimized Production in the Tea Industry
      • OPs-TIMAL – Optimized processes for trajectory, maintenance and management of ressources and operations in aviation
      • Process optimization for hospital logistics
      • Expansion of the German Rail Freight Network
    • Mixed Integer Programming
      • Solver for Relaxations in General Mixed Integer Nonlinear Programming (SCIP/NL)
      • Development of new Linear and MIP Techniques for Supply Chain Management
      • Lamatto++
    • TRR 154 (Transregio)
  • Publications
  • PhD Theses
  • Teaching
  • Bachelor and Master Theses
  • Public Relations
  • News and Events
    • G’scheid schlau!
    • Friday@Noon
  • How to find us

LeOpIn

LeOpIn – Lebenszyklusorientierte Optimierung für eine ressourcen- und energieeffiziente Infrastruktur

Description

The goal of the project LeOpIn is to devise methods for life-cycle oriented planning and evaluation of buildings and related infrastructure. To this end we develop simulation and optimization tools which can cope with this task. A concrete application is the planning of a building and pipes undergoing high pressure scenarios for which a software solution will be prototypically developed. The development of the planning and evaluation procedures demands a tight interaction between mathematical and engineering techniques. We plan to employ methods of numerical simulation and of discrete and nonlinear optimization. The main focus lies on integration of these techniques since only by this the high complexity of the treated problems can be handled appropriately.

Project A

In project A we are dealing with the problem of arranging the rooms in the planning phase of a given construction project of a building. Since the goal is to minimize the total cost arising over the entire life-cycle we add the operation costs (caused by heating, cooling, lighting and air-conditioning) to the construction costs also. The resulting mixed-integer (non-)linear model (MINLP) will describe the arrangement problem and obey to certain building regulations such as escape routes and static.

Project B – Optimal routing of pipes under physical constraints

In project B our task is to find – given a rough admissible outline – an optimal alignment of one or more pipes in a power plant. This is difficult since the problem raises both combinatorial/discrete structures as well as non-linear constraints which come from the underlying physical model.

One of the main goal of the project is to develop a two-level approach that can easily integrate a better physical model from the other projects into a discrete framework.

Flyer

 

This folder presents projects within LeOpIn.

Contact

For further details about the projects please contact

  • Project A: Alexander Martin, Stefan Schmieder, Mathias Sirvent
  • Project B: Lars Schewe, Jakob Schelbert

Partners/Sponsors

LeOpIn is sponsored by Bilfinger and BMBF (German ministry of education and sciences)

Friedrich-Alexander-Universität
Department of Mathematics

Cauerstraße 11
91058 Erlangen
  • Contact and Directions
  • Internal Pages
  • Staff Members A-Z
  • Imprint
  • Privacy
  • EN/DE
Up