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Energy Management and Optimization in Low Temperature District Networks

  • School: School of Architecture, Design and the Built Environment
  • Study mode(s): Full-time
  • Starting: 2023
  • Funding: UK student / EU student (non-UK) / International student (non-EU) / Fully-funded


Nottingham Trent University invites applications for a fully funded PhD position in the field of Energy Management and Optimization in Low Temperature District Networks. This research opportunity offers a chance to contribute to cutting-edge research and pursue a doctoral degree while working on an exciting project.

Project Description:

The PhD project focuses on developing innovative approaches for energy management and optimization in Low Temperature District Networks. The aim is to analyse and control complex energy systems, with specific emphasis on space heating. The project will employ co-simulation models and data-driven algorithms to achieve dynamic analysis of system operating conditions and enable effective control of system interactions.

The novel optimisation for heat management in Low Temperature District Network will be developed using Ecolibrium Smart Sense platform. Smart Sense is a cloud-based system developed by Ecolibrium with advanced analytics that collects and analyses all kinds of sensor data in real time. The improved energy management will help house management system to achieve better Internal climate with a faster response time and higher comfort levels due to the more even temperature distribution.


As a PhD student, your responsibilities will include:

  • Conducting research on energy management and optimization in Low Temperature District Networks.
  • Developing and implementing co-simulation models and data-driven algorithms.
  • Collaborating with a multidisciplinary research team and industry partners.
  • Publishing research findings in academic journals and presenting at conferences.

Entry qualifications

  • A master's degree (or equivalent) in a relevant field, such as Energy Engineering, Sustainable Energy, or a related discipline.
  • Strong background or interest in energy management, optimization, and sustainability.
  • Proficiency in programming languages and software tools commonly used in data analysis and modelling (e.g., Python, MATLAB, or similar).
  • Familiarity with co-simulation models, machine learning, and IoT methods.
  • Excellent analytical and problem-solving skills.
  • Strong written and verbal communication abilities.
  • Ability to work independently and as part of a team.

How to apply

Application deadline for October start date: Monday 31 July 2023.

To apply for this PhD position, please submit the following documents:

  • Curriculum vitae (CV) highlighting your academic achievements, research experience, and relevant skills.
  • A cover letter outlining your research interests, motivation, and how your background aligns with the project.
  • Contact information for two academic or professional references.

Please ensure that you meet the eligibility requirements for PhD studies at Nottingham Trent University. Applicants from all backgrounds are encouraged to apply.

Fees and funding

This fully funded PhD position is supported by Nottingham Trent University. The successful candidate will receive financial support to cover tuition fees and a stipend to support living expenses during the research period.

Guidance and support

Further information on guidance and support can be found on this page.

Still need help?

Dr Anton Ianakiev