TY  - CHAP
A1  - Schänzle, Christian
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Lorenz, Ulf
A1  - Pelz, Peter F.
T1  - As good as it can be: Ventilation system design by a combined scaling and discrete optimization method
T2  - Proceedings of FAN 2015
N2  - The understanding that optimized components do not automatically lead to energy-efficient systems sets the attention from the single component on the entire technical system. At TU Darmstadt, a new field of research named Technical Operations Research (TOR) has its origin. It combines mathematical and technical know-how for the optimal design of technical systems. We illustrate our optimization approach in a case study for the design of a ventilation system with the ambition to minimize the energy consumption for a temporal distribution of diverse load demands. By combining scaling laws with our optimization methods we find the optimal combination of fans and show the advantage of the use of multiple fans.
Y1  - 2015
N1  - Proceedings of FAN 2015, Lyon (France), 15 – 17 April 2015
SP  - 1
EP  - 11
ER  - 
TY  - JOUR
A1  - Pöttgen, Philipp
A1  - Ederer, Thorsten
A1  - Altherr, Lena
A1  - Lorenz, Ulf
A1  - Pelz, Peter F.
T1  - Examination and optimization of a heating circuit for energy-efficient buildings
JF  - Energy Technology
N2  - The conference center darmstadtium in Darmstadt is a prominent example of energy efficient buildings. Its heating system consists of different source and consumer circuits connected by a Zortström reservoir. Our goal was to reduce the energy costs of the system as much as possible. Therefore, we analyzed its supply circuits. The first step towards optimization is a complete examination of the system: 1) Compilation of an object list for the system, 2) collection of the characteristic curves of the components, and 3) measurement of the load profiles of the heat and volume-flow demand. Instead of modifying the system manually and testing the solution by simulation, the second step was the creation of a global optimization program. The objective was to minimize the total energy costs for one year. We compare two different topologies and show opportunities for significant savings.
KW  - energy transfer
KW  - heating system
KW  - programming
KW  - system optimization
KW  - technical operations research
Y1  - 2015
SN  - 2194-4296
U6  - http://dx.doi.org/10.1002/ente.201500252
VL  - 4
IS  - 1
SP  - 136
EP  - 144
PB  - WILEY-VCH Verlag
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Altherr, Lena
A1  - Ederer, Thorsten
A1  - Pöttgen, Philipp
A1  - Lorenz, Ulf
A1  - Pelz, Peter F.
ED  - Pelz, Peter F.
ED  - Groche, Peter
T1  - Multicriterial optimization of technical systems considering multiple load and availability scenarios
JF  - Applied Mechanics and Materials
N2  - Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.
KW  - sustainability
KW  - availability
KW  - energy efficiency
KW  - mixed-integer linear programming
KW  - system synthesis
Y1  - 2015
SN  - 1660-9336
U6  - http://dx.doi.org/10.4028/www.scientific.net/AMM.807.247
VL  - 807
SP  - 247
EP  - 256
ER  -