PhD scholarship in Unlocking the Flexibility of Multi-Energy System using Artificial Intelligence Approaches

mandag 24 aug 20

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Frist 30. september 2020
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The Center for Electric Power and Energy (CEE) at the Department of Electrical Engineering invites applications for a PhD project co-funded by Sino-Danish Center (SDC), Shanghai Electric Wind Power Group European Innovation Center (SEWPG-EIC), in close cooperation with Chinese Academy of Science, Shenzhen Institutes of Advanced Technology. 

Distributed energy resources (DERs) such as wind turbines, solar photovoltaics (PV), electric vehicles (EVs), energy storage systems, and HVAC (Heating, ventilation, and air conditioning) devices will play a central role in effective transition scenarios towards a sustainable urban energy system. As DERs usually connect more than one energy vectors, integration of DERs requires a multi-energy system (MES) approach in order to leverage the flexibilities from different energy vectors to achieve cost reduction and efficient operation in a renewable based system. Enhanced by the recent development of the Internet of things (IoT) infrastructures and data management technologies, energy management solutions can be developed based on massive data from various sources of credentialed and uncredentialed entities.

Responsibilities and tasks
Based on the massive data from DERs within a presumed MES and the information associated with prosumers, operational information and patterns of MES can be extracted by optimized deep learning approaches. Based on the datasets of the MES, operational tools can be established and solved by learning evolutionary computation approaches. Such tools incorporate large amount of information from different energy sectors of an MES and hypotheses of prosumer expectations, and can be implemented to security assessment, optimization and the potential of increasing the RES penetration in the grid or other type of generation units in the future. To achieve these goals, the project is divided into the following tasks:

  • Establish data and communication model from DERs and prosumer side;
  • Establish deep learning-based AI for resource and network monitoring;
  • Develop advanced evolutionary computation methods for optimized system operation;
  • Incorporating human and social factors in flexibility exploitation based on different hypotheses of consumer preferences;

You will be enrolled both at DTU and the University of Chinese Academy of Science (UCAS) and pursue a double degree according to the rules and regulations of the DTU, UCAS and SDC which include passing a Chinese language and Culture course.

Chinese citizens including citizens from Taiwan, Hong Kong and Macao are not eligible for PhD positions with co-funding from the Danish SDC office, according to the Partnership agreement between SDC and the Danish Universities. PhD students from China (including Taiwan, Hong Kong and Macao) must be enrolled through the University of Chinese Academy of Science.

Qualifications
You should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in the field of computer science, electrical engineering, mathematics, or physics.


You must have excellent oral and written English skills to ensure high quality dissemination and communication with external partners.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide

Assessment
The assessment of the applicants will be made by Senior Scientist Guangya Yang gyy@elektro.dtu.dk at DTU, Head of Research Group, Associate Professor Arne Hejde Nielsen ahn@elektro.dtu.dk,

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.


Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

You are expected to stay with the Chinese partner for 7,5 months during the 3-year project period. The expense during the external stay will be covered by the project.

You can read more about career paths at DTU here

Further information
Further information may be obtained from Senior Scientist Guangya Yang gyy@elektro.dtu.dk, tel.: +45 5327 3699, and R&D Lead Peng Hou houpeng@shanghai-electric.com

You can read more about Center for Electric Power and Energy and DTU Electrical Engineering at www.cee.elektro.dtu.dk and www.elektro.dtu.dk

You can read more about Sino-Danish Center at https://sdc.university/ 

Application
Please submit your online application no later than 30 September 2020 (local time).
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
  • A 1-page research statement on the research methodology based on one or several of the listed tasks

The selection process may start before the closing date.

You are expected to start from this year. You may apply prior to ob­tai­ning their master's degree but cannot begin before having received it.


Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Electrical Engineering educates students within electrical engineering technologies. We offer studies at BEng, BSc, MSc and PhD levels, and participate in joint international programmes. We conduct state-of-the-art research within antenna and microwave technology, robot technology, power and physical electronics, acoustic environment, electro-acoustics, electric power and energy. Our department has more than 200 members of staff.

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DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.