Master Thesis in Techno-Economic Optimization of a Load Flexible Power-to-Methanol Process

Robert Bosch Group; Renningen; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Masteranden für die techno-ökonomische Optimierung eines flexiblen Power-to-Methanol-Prozesses. Diese spannende Masterarbeit umfasst die Durchführung von Literaturrecherchen, die Validierung von Betriebsstrategien und die Implementierung von Optimierungsmethoden. Sie werden die Möglichkeit haben, an einem zukunftsweisenden Projekt zu arbeiten, das die Nutzung erneuerbarer Energien fördert. Wenn Sie eine Leidenschaft für Ingenieurwissenschaften haben und in einem dynamischen Team arbeiten möchten, ist dies die perfekte Gelegenheit für Sie.

Qualifikationen

• Masterstudium in relevanten Bereichen mit guten Noten erforderlich.
• Kenntnisse in numerischen Optimierungsmethoden und Programmierung.

Aufgaben

• Durchführung umfangreicher Literaturrecherchen und Ableitung von Komponentenpreisen.
• Validierung der Betriebsstrategie und Auswahl geeigneter Optimierungsmethoden.

Kenntnisse

numerische Optimierungsmethoden

Python Programmierung

Wasserstoffelektrolyse

Ausbildung

Masterstudium in Chemie- und Verfahrenstechnik

Umwelttechnik

Wirtschaftsingenieurwesen

Jobbeschreibung

Master Thesis in Techno-Economic Optimization of a Load Flexible Power-to-Methanol Process

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

The intermittency of renewable energy sources leads to flexible operation of subsequent processes such as electrolysis and methanol synthesis in power-to-methanol plants. To achieve minimum levelized costs of methanol (LCOM), an optimization of the unit operations is necessary. Therefore, the following work packages should be addressed in your assignment:

1. Conduct extensive literature research including the derivation of component prices.
2. Validate the operation strategy.
3. Select and implement a suitable optimization method for an existing process simulation.
4. Perform techno-economic optimization of the process chain with respect to LCOM for different use-cases, including potential heat integration and the identification of key parameters and their sensitivities.

Qualifications:

• Education: Master studies in Chemical and Process Engineering, Environmental Engineering, Industrial Engineering, or comparable with good grades.
• Experience and Knowledge: in numerical optimization methods and programming (Python); basic understanding of water electrolysis.
• Personality and Working Practice: well-organized, effective communicator, able to work independently.
• Languages: fluent in English; German is a plus.

Start: according to prior agreement
Duration: 6 months

Requirement: Enrollment at university. Please attach your CV, transcript of records, examination regulations, and if applicable, a valid work and residence permit.

Diversity and inclusion are integral to our corporate culture. We welcome all applications, regardless of gender, age, disability, religion, ethnic origin, or sexual identity.

Need further information about the job?
Kevin Danila (Functional Department)
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