PhD in Flexibility Services from Electrified Process Industry A Focus on Steam-Heated Processes

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Introduction

Do you want to be part of an industry-oriented project and work on flexibility estimation from industrial sites

The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES) group of TU/e. Within the IES program research is conducted into operation and planning of future sustainable energy systems with an emphasis on electricity systems markets and systems integration. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research including: demand management and flexibility digital twinning data analytics smart grid ICT architectures and systems integration in multi energy systems. The latter specializes in electricity market design (centralized & decentralized) market products & system services to integrate new technologies forecasting market participation strategies and risk management large-scale distributed multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with industry both nationally and internationally with several part-time industry researchers working in the group and a large group of strategic collaboration partners.

Recently the Electrical Energy Systems group received grants for nationally-funded projects in Intelligent Electricity Systems. Therefore this group currently has multiple vacancies in this field. We are currently looking for researchers with strong energy systems knowledge electricity heat and gas system components and flexibility modelling & simulation and research software development skills that want to develop cutting-edge knowledge and software for the energy transition. The focus of the work will be on the application of intelligent software approaches (distributed control systems distributed optimization market mechanisms multi-scale modelling etc.) in electrical power systems (energy system flexibility coordination local energy markets capacity & congestion management etc.).

Job Description

The decarbonization of the industrial sector is critical to achieving climate neutrality. Steam-based industries such as chemical manufacturing food processing and paper production are among the most energy-intensive and carbon-emitting sectors. Electrification of thermal processes particularly through the integration of industrial heat pumps presents a promising pathway to reduce emissions while offering flexibility services to the energy system.

At the same time the increasing penetration of variable renewable energy such as wind and solar creates a pressing need for flexibility services to balance supply and demand. Industrial processes with their significant thermal inertia and storage potential can provide valuable flexibility to the power grid. However the integration of such services into steam-heated industrial processes remains a challenge especially when considering the role of large-scale heat pumps industrial heat storage and heat recovery technologies as both decarbonization and flexibility enablers. The challenge rises from several factors affecting the daily operation of the factories as well as the investment requirements that might not be compensated accordingly when the derived flexibility is offered to the grid/ this regard this PhD focuses on optimizing the use of flexibility in electrified process plants by leveraging dynamic behaviors and market participation.

With the above premises the main objectives of this study are

1. Characterize the thermal demand profiles of steam-based industrial processes and identify opportunities for electrification. > Baseline optimisation
2. Assess the technical feasibility and performance of industrial heat pumps in steam generation and recovery. > Design options and technology inclusions
3. Develop models to quantify the flexibility potential of electrified steam systems including load shifting demand response and ancillary services. > Energy use optimisation
4. Assess the techno-economic feasibility of providing flexibility services from electrified steam processes. > Business assessment
5. Grid impact assessment and capacity management approaches in an industry-infused network with integrated industrial flexibility services. > Grid impact assessment

In order to achieve these goals the following tasks would shape the work plan of the PhD:
Energy Portfolio Creation: A comprehensive estimation of the available flexibility within electrified process plants should be undertaken. This task involves a detailed assessment of the various processes and identifying potential extractable flexibility from electrified thermal systems. The goal is to quantify the extent to which these processes can be adjusted or modulated taking into account the operational constraints and requirements. This estimation will include analyzing the energy consumption patterns identifying peak and off-peak periods and understanding the critical operational parameters that must remain stable. The maximum achievable flexibility that can be harnessed without compromising the efficiency productivity and overall operational stability of the process plants can be determined. This rigorous analysis will provide a clear picture of the flexibility potential and set the stage for implementing effective flexibility services tailored to the dynamic behavior of the process industry.

Flexibility service definition and potential calculations: The next task would be to identify and define flexibility services that are specifically tailored to the dynamic nature of process industries. This involves a thorough examination of the various industrial processes to determine how they can be adapted or modulated to provide flexibility services. The approach includes a detailed analysis of the operational characteristics and requirements of each process aiming to understand the inherent dynamic behaviors and how they can be leveraged to create flexibility.

Through exploring different strategies for modulating processes such as adjusting production schedules varying energy consumption rates and implementing advanced control systems new definitions for flexibility services from industry will be provided. This definition would consider the type feature and characteristics of the service from both industry side and market side meaning the conditions that the plant needs to follow to provide such services as well as the market conditions to which the service is offered.

Evaluating implementation potential: In this task the energy market status for the process industry will be analysed to determine the viability of electrified processes considering the increased required electric demand and the new possibilities of saving energy costs using the flexibility of electrified thermal systems. To achieve this the current status of the markets will be analysed to assess the possibility of incorporating industrial flexibility. Different revenue schemes will be considered to deploy industrial flexibility as a product in the flexibility trade with the characteristics of flexibility from industrial processes will be analysed. The energy market status for both electricity and gas markets will be studied to evaluate the viability of electrification for specific cases and in regard to price growth of electricity and gas. The trade portfolio of an electrified industrial site will be provided with possibilities of energy market participation flexibility services remuneration and CO2 to capture revenues.

This PhD is part of a NWO project called Flexibility in Electric Power from Steam-heated Industrial Processes (FLEXPower). There are several partners involved in this project including a large distribution system operator industrial partners industrial flexibility technology providers and an applied research institute. The PhD student will be involved in this project will have the chance to participate in meetings and have a close collaboration with industry. The study could also benefit from using real data from the industrial partners involved in the project.

Job Requirements

We are looking for a highly motivated and pro-active candidate with good communicative skills and English language proficiency. As a PhD candidate you should have the following qualifications

• A MSc degree related to modelling and analysis of flexibility energy (electricity gas heat) consumption such as electrical or mechanical engineering
• Having a good understanding of energy markets market products and services.
• Experience in optimization problems dynamic behavior modelling and component simulation.
• Experience in data-driven modelling probabilities and stochastic optimization solutions is an advantage.
• Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python Julia or MATLAB are advantages.
• Enthusiasm for open-source software development and motivated to learn basic skills of scientific software engineering.
• Ability to work in an interdisciplinary team and interested in expanding the research to real-world applications through participating in projects.
• Motivated to develop your teaching skills and coach MSc and BSc students.
• Fluent in spoken and written English (C1 level).
• Dutch language skill is an advantage.

Conditions of Employment

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

• Full-time employment for four years with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme paid pregnancy and maternity leave partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities scale P (min. 3059 - max. 3881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure on-campus childrens day care and sports facilities.
• An allowance for commuting working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager . Nilufar Neyestani .

Visit our website for more information about the application process or the conditions of employment. You can also contact .

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Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.