Phd - Modelling CO2 capture and conversion technologies in industrial clusters with high renewable penetration

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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Mechanical and Production Engineering programme. The position is available from 1 October 2022 or later.

Title:
Modelling CO2 capture and conversion technologies in industrial clusters with high renewable penetration

Research area and project description:
The Novo Nordisk CO2 Research Center (CORC) ambitions to develop breakthrough technologies to capture and use CO2 with the potential to be deployed at the Gigaton scale.

This PhD project is part of an interdisciplinary team of 4 interlinked PhD projects covering system analyses and modelling supporting and underpinning those objectives.

This PhD project will use and develop state-of-the-art system models to improve our understanding of the need and the potential role of CO2 capture and conversion technologies in a future climate-neutral system.

Such technologies are expected to be cost-competitive first in industrial clusters where e.g. the capture of CO2 and the production of H2 and other synthetic fuels are physically closed. The PhD project aims at answering the following research questions: What are the main limitations of existing CO2 technologies? Can we design hybrid renewable plants including CO2 capture or conversion? What is the level of regional integration that is needed for CO2 technologies?Due to the large uncertainty in the maximum performance attainable by CO2 technologies, it is difficult to obtain a precise representation of them in the models. To overcome this limitation, this PhD project will focus on determining the combination of parameters (feasibility space) that a novel technology requires to become part of a future sustainable system. The feasibility space will be estimated by multi-parameters sweeping aiming to investigate the required performance in terms of cost, electricity and heating consumption, capturing and conversion efficiency, ramping capabilities, etc.

This analysis will be complemented with a detailed survey of the estimated current and attainable performance parameters for the different CO2 technologies. For this, collaboration with other researchers at CORC will be key. The survey together with the definition of the feasibility space will allow determining the performance gaps, i.e., which parameter/s needs to be improved and to what extent, providing useful feedback for technology developers.The modelling will be implemented in the state-of-the-art open energy modelling PyPSA. The candidate will use and expand the model, among other things to include new relevant material flows (e.g synthetic methanol, ethylene).

The PhD candidate will focus on modelling and use high-performance computing, but will also interact with other technology developers at the CORC. The group publishes in high-impact journals, ensures a collaborative research framework, and is committed to using open-science methodologies. The following references provide a short overview of the scientific approach of the research group:

[1] M. Victoria, E. Zeyen, T. Brown, Speed of technological transformations required in Europe to achieve different climate goals, Joule 6 (2022) https://www.sciencedirect.com/science/article/pii/S2542435122001830?via%3Dihub;

[2] M. Victoria, K. Zhu, T. Brown, G. B. Andresen, M. Greiner, Early decarbonisation of the European energy system pays off, Nature communications 11 (2020) https://www.nature.com/articles/s41467-020-20015-4;

The PhD project will be supervised by Assoc. Prof. Marta Victoria (Aarhus University) and co-supervised by Assoc. Prof. Gorm B. Andresen (Aarhus University) and Prof. André Faaij (Utrecht University).

Project description. For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.

Qualifications and specific competences:
MSc in Mechanical, Electrical, Electronics, Energy Engineering, Physics, Computer Science, Economics or similar.
Experience with Python.
Good writing and communication skills in English
The candidate must show initiative and collaborate in teamwork
A good understanding of the energy system technologies and economics will be positively evaluated.
Experience with other programming languages, open-software development, project managing with Github, and high-performance computing clusters is not mandatory but will be positively evaluated.

Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is Gustav Wieds Vej 10, 8000 Aarhus, Denmark

Contacts:
Applicants seeking further information are invited to contact:
Marta Victoria, mvp@mpe.au.dk

How to apply:
Please follow this link to submit your application.

Application deadline is 08 August 2022 23:59 CEST.

Preferred starting date is 01 October 2022.

For information about application requirements and mandatory attachments, please see our application guide.

Please note:

  • The programme committee may request further information or invite the applicant to attend an interview.
  • Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.

 

Skriv i din ansøgning, at du fandt jobbet på ofir.dk


Phd - Modelling CO2 capture and conversion technologies in industrial clusters with high renewable penetration

Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Mechanical and Production Engineering programme. The position is available from 1 October 2022 or later.

Title:
Modelling CO2 capture and conversion technologies in industrial clusters with high renewable penetration

Research area and project description:
The Novo Nordisk CO2 Research Center (CORC) ambitions to develop breakthrough technologies to capture and use CO2 with the potential to be deployed at the Gigaton scale.

This PhD project is part of an interdisciplinary team of 4 interlinked PhD projects covering system analyses and modelling supporting and underpinning those objectives.

This PhD project will use and develop state-of-the-art system models to improve our understanding of the need and the potential role of CO2 capture and conversion technologies in a future climate-neutral system.

Such technologies are expected to be cost-competitive first in industrial clusters where e.g. the capture of CO2 and the production of H2 and other synthetic fuels are physically closed. The PhD project aims at answering the following research questions: What are the main limitations of existing CO2 technologies? Can we design hybrid renewable plants including CO2 capture or conversion? What is the level of regional integration that is needed for CO2 technologies?Due to the large uncertainty in the maximum performance attainable by CO2 technologies, it is difficult to obtain a precise representation of them in the models. To overcome this limitation, this PhD project will focus on determining the combination of parameters (feasibility space) that a novel technology requires to become part of a future sustainable system. The feasibility space will be estimated by multi-parameters sweeping aiming to investigate the required performance in terms of cost, electricity and heating consumption, capturing and conversion efficiency, ramping capabilities, etc.

This analysis will be complemented with a detailed survey of the estimated current and attainable performance parameters for the different CO2 technologies. For this, collaboration with other researchers at CORC will be key. The survey together with the definition of the feasibility space will allow determining the performance gaps, i.e., which parameter/s needs to be improved and to what extent, providing useful feedback for technology developers.The modelling will be implemented in the state-of-the-art open energy modelling PyPSA. The candidate will use and expand the model, among other things to include new relevant material flows (e.g synthetic methanol, ethylene).

The PhD candidate will focus on modelling and use high-performance computing, but will also interact with other technology developers at the CORC. The group publishes in high-impact journals, ensures a collaborative research framework, and is committed to using open-science methodologies. The following references provide a short overview of the scientific approach of the research group:

[1] M. Victoria, E. Zeyen, T. Brown, Speed of technological transformations required in Europe to achieve different climate goals, Joule 6 (2022) https://www.sciencedirect.com/science/article/pii/S2542435122001830?via%3Dihub;

[2] M. Victoria, K. Zhu, T. Brown, G. B. Andresen, M. Greiner, Early decarbonisation of the European energy system pays off, Nature communications 11 (2020) https://www.nature.com/articles/s41467-020-20015-4;

The PhD project will be supervised by Assoc. Prof. Marta Victoria (Aarhus University) and co-supervised by Assoc. Prof. Gorm B. Andresen (Aarhus University) and Prof. André Faaij (Utrecht University).

Project description. For technical reasons, you must upload a project description. Please simply copy the project description above and upload it as a PDF in the application.

Qualifications and specific competences:
MSc in Mechanical, Electrical, Electronics, Energy Engineering, Physics, Computer Science, Economics or similar.
Experience with Python.
Good writing and communication skills in English
The candidate must show initiative and collaborate in teamwork
A good understanding of the energy system technologies and economics will be positively evaluated.
Experience with other programming languages, open-software development, project managing with Github, and high-performance computing clusters is not mandatory but will be positively evaluated.

Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is Gustav Wieds Vej 10, 8000 Aarhus, Denmark

Contacts:
Applicants seeking further information are invited to contact:
Marta Victoria, mvp@mpe.au.dk

How to apply:
Please follow this link to submit your application.

Application deadline is 08 August 2022 23:59 CEST.

Preferred starting date is 01 October 2022.

For information about application requirements and mandatory attachments, please see our application guide.

Please note:

  • The programme committee may request further information or invite the applicant to attend an interview.
  • Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.

 

Skriv i din ansøgning, at du fandt jobbet på ofir.dk


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