Speaker
Description
Cryogenic mixed-refrigerant cycles (CMRC) are a promising technology for the efficient cooling of HTS applications including power cables and current leads. Their efficiencies and lowest achievable temperatures are largely determined by the mixture composition and the heat exchanger design, both of which can be optimized using evolutionary algorithms.
Current modeling concepts involve first determining the optimum process parameters with an assumed heat exchanger performance, followed by optimizing the heat exchanger design. This approach, however, neglects the influence of actual heat exchanger characteristics, such as longitudinal heat conduction and non-constant pressure drop, on the optimum process parameters. In contrast, a multidisciplinary design optimization (MDO) optimizes process parameters and heat exchanger geometry simultaneously, exploiting the interdependency between disciplines to find the best solution.
In this contribution, the integration of a monolithic solver for heat exchangers into a process simulation framework is presented. Established MDO formulations and search strategies are discussed in the context of CMRC optimization and their suitability is evaluated.
| Submitters Country | Germany |
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| Are you a student? | Yes |
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