Refine
Document Type
- Conference Proceeding (16)
- Article (10)
- Part of a Book (6)
Keywords
- MINLP (3)
- Engineering optimization (2)
- Experimental validation (2)
- Optimal Topology (2)
- Optimization (2)
- Powertrain (2)
- Process engineering (2)
- Pump System (2)
- Technical Operations Research (2)
- Water distribution system (2)
- mathematical optimization (2)
- BEV (1)
- Booster Station (1)
- Case Study (1)
- Case study (1)
- Chance Constraint (1)
- Controller Parameter (1)
- Cooling system (1)
- Discrete Optimization (1)
- Drinking Water Supply (1)
Planning the layout and operation of a technical system is a common task
for an engineer. Typically, the workflow is divided into consecutive stages: First,
the engineer designs the layout of the system, with the help of his experience or of
heuristic methods. Secondly, he finds a control strategy which is often optimized
by simulation. This usually results in a good operating of an unquestioned sys-
tem topology. In contrast, we apply Operations Research (OR) methods to find a
cost-optimal solution for both stages simultaneously via mixed integer program-
ming (MILP). Technical Operations Research (TOR) allows one to find a provable
global optimal solution within the model formulation. However, the modeling error
due to the abstraction of physical reality remains unknown. We address this ubiq-
uitous problem of OR methods by comparing our computational results with mea-
surements in a test rig. For a practical test case we compute a topology and control
strategy via MILP and verify that the objectives are met up to a deviation of 8.7%.
In times of planned obsolescence the demand for sustainability keeps growing. Ideally, a technical system is highly reliable, without failures and down times due to fast wear of single components. At the same time, maintenance should preferably be limited to pre-defined time intervals. Dispersion of load between multiple components can increase a system’s reliability and thus its availability inbetween maintenance points. However, this also results in higher investment costs and additional efforts due to higher complexity. Given a specific load profile and resulting wear of components, it is often unclear which system structure is the optimal one. Technical Operations Research (TOR) finds an optimal structure balancing availability and effort. We present our approach by designing a hydrostatic transmission system.