| Information Field | Provided Information |
|---|---|
| Laboratory /Department /Institute /Centre Name | High Temperature Heat Transfer Laboratory/Mechanical Engineering Department |
| Brief description of the Centre/Research Group (Please provide a brief description of your research group or organisational unit, including research infrastructure, laboratory facilities, team size and industry collaborations.) | The High Temperature Heat Transfer Laboratory focuses on research in thermal sciences and energy systems. Although the laboratory title emphasizes high temperature heat transfer, our research activities extend to several related areas, including refrigeration system modeling and experimental investigations of refrigeration systems, studies of boiling heat transfer phenomena, and energy consumption analysis of cooking devices involving radiation, convection, and conduction. The laboratory provides a well-equipped experimental workspace with advanced measurement and diagnostic facilities, including data acquisition systems, experimental apparatus, precision measurement instruments, a high-speed camera, a thermal imaging camera, and spectrophotometric equipment. Many of our research projects are carried out in collaboration with industry and are supported by industrial partners. The research team currently consists of two faculty members, two PhD students, and typically three to four undergraduate students who actively contribute to ongoing research projects. In recent years, the laboratory has also begun integrating artificial intelligence techniques into its research activities, particularly through the application of Physics-Informed Neural Networks (PINNs) and other deep learning approaches for modeling and analysis. |
| Research Area (Please provide 5–10 keywords that best describe your research areas and expertise.) | Thermodynamics, Heat Transfer, Computational Fluid Dynamics, Two Phase Flow, Pool Boiling, Thermoelectric Cooling, AI Cooling, Insulation Panels, Electronic Valves Investigation of the Stack Structure with the Ventilation and the Cavity in the Domestic Built-in Ovens, TUBITAK+Industry, 2008-2010, Advisor |
| Please list your relevant previous projects, indicating the programme, project name, year and role. | Radiation Heat Transfer in Improving Energy Efficiency for the Enclosures, TUBITAK+Industry, 2011-2013, Principal Investigator Analysis of the Insulation in in Improving Energy Efficiency for the High Temperature Processes in Enclosures, TUBITAK+Industry, 2013-2015, Principal Investigator Design for Energy Efficiency in Boiling, TUBITAK+Industry, 2015-2017, Principal Investigator Improvement of Steam Generator for Domestic Ovens, Industry, 2018-2020 Ejector Embedded Domestic Refrigerator, Industry, 2021-2022, Principal Investigator. Hybrid Thermoelectric and Vapour Compression Refrigeration, Industry, 2025-2026, Pr,nc,pal Investigator Vacuum Insulation Panels, Industry, 2025-2026, Principal Investigator Microchannel Evaporators, Industry, 2025-2026, Principal Investigator |
| Proposed Project Idea or Area of Interest (If applicable, please briefly outline a concept idea, the problem you aim to address, or your specific area of interest.) | Our laboratory is interested in collaborative research focusing on the integration of advanced modeling techniques and experimental investigations in thermal systems. One potential research direction involves the application of Physics-Informed Neural Networks (PINNs) and other deep learning approaches for the modeling, optimization, and performance prediction of innovative refrigeration systems. Such approaches can combine physical laws with data-driven methods to improve system design, fault detection, and energy efficiency. Another area of interest is high-temperature heat transfer in cooking and industrial ovens. This research may include the analysis of heat transfer mechanisms involving radiation, convection, and conduction, as well as the study of thermal insulation materials, thermal bridges, and temperature distribution within oven cavities. Experimental measurements combined with numerical modeling and AI-based approaches could be used to improve thermal efficiency, reduce energy consumption, and optimize oven design. Through these research directions, we aim to develop advanced methodologies for thermal system analysis and contribute to the development of more energy-efficient refrigeration and heating technologies. |
| Potential Contributions to Projects | ☑ Scientific / technical research ☑ Methodology development ☑ Modelling / simulation ☑ Data analysis / artificial intelligence ☑ Experimental studies / testing ☐ Pilot / demonstration activities ☐ Socio-economic analysis / policy contribution ☐ Education, dissemination and impact activities ☐ Other (please specify): |
| Preferred Role in Consortia | ☑ Coordinator ☑ Partner |
| Programmes and Calls of Interest (Please indicate the programme(s) you are interested in and, if possible, specify the call identifier and/or title.) | ☑ Horizon Europe Clusters ☐ Erasmus+ ☐ Digital Europe ☐ EIT (HEI / KIC, etc.) ☐ MSCA ☑ ERC ☐ Other (please specify): |
| Additional Notes (Please provide any additional information or specific remarks you would like to share with the International Projects Office.) | Based on the research focus and technical expertise of the laboratory, the following programmes and thematic areas are considered most relevant. In this context, Horizon Europe calls and the ERC Programme will remain key instruments under our radar, while Digital Europe Programme opportunities will also be closely monitored where appropriate. Horizon Europe – Cluster 5: Climate, Energy and Mobility Within this cluster, particular attention will be given to calls related to energy‑efficient heating and cooling technologies, including advanced, sustainable, and low‑carbon thermal systems. Topics addressing thermal comfort, energy efficiency, and waste heat recovery are especially aligned with the laboratory’s research profile. Horizon Europe – Cluster 4: Digital, Industry and Space This cluster may offer relevant opportunities in areas such as AI for engineering and industrial systems, advanced modelling, and digital twins, particularly where digital solutions are applied to the design, optimization, and performance prediction of thermal and industrial systems. Digital Europe Programme – AI, Digital Twins and Advanced Modelling Under the Digital Europe Programme, topics related to Artificial Intelligence, digital twins, and advanced modelling, especially AI Testing and Experimentation Facilities (TEFs), are of strong interest. These calls may complement Horizon Europe by supporting the deployment and validation of AI‑based solutions in industrial and energy systems. Marie Skłodowska‑Curie Actions (MSCA) – Doctoral Networks & ERC Programmes MSCA Doctoral Network and ERC projects are also considered relevant, for example with a focus on AI‑driven thermal system modelling, combining advanced numerical methods, experimental validation, and data‑driven approaches for next‑generation heating and cooling technologies. Examples of Potentially Relevant Upcoming Calls Some forthcoming or announced calls that may be suitable for involvement include: Sustainable, inclusive, affordable and beautiful solutions for thermal comfort in buildings HORIZON‑NEB‑2026‑01‑REGEN‑01 Opening date: 05 May 2026 | Deadline: 01 December 2026 | Single‑stage Researching the technical, social and economic factors impacting the energy performance of Smart Buildings (Built4People Partnership) HORIZON‑CL5‑2026‑09‑D4‑01 Opening date: 05 May 2026 | Deadline: 15 September 2026 | Single‑stage Transition to low‑temperature heating solutions in multi‑apartment buildings HORIZON‑MISS‑2026‑04‑CIT‑02 Opening date: 04 February 2026 | Deadline: 08 October 2026 | Single‑stage Energy efficiency and sustainability of AI data processing in Data Centres (IA) HORIZON‑CL4‑2027‑04‑DATA‑09 Opening date: 17 November 2026 | Deadline: 18 March 2027 | Single‑stage (forthcoming) Thermal energy optimisation and waste heat recovery of high energy demand IT rooms in buildings or small edge data centres HORIZON‑CL5‑2027‑05‑D4‑06 Opening date: 05 May 2027 | Deadline: 15 September 2027 | Single‑stage Demonstration of industrial excess/waste heat conversion to mechanical or electrical power HORIZON‑CL5‑2027‑05‑D4‑09 Opening date: 05 May 2027 | Deadline: 15 September 2027 | Single‑stage |
