Bina Elemanlarında Termal Enerji Depolama (TESBE): Gelişmiş Bina Enerji Verimliliği Ve Bina Sakinlerinin Termal Konforu Için Yeni Ve Düşük Maliyetli Sürdürülebilir Kompozitlerin Geliştirilmesi


Akgül Ç. (Yürütücü), Gürsel Dino I., Baker D. K.

TÜBİTAK Uluslararası İkili İşbirliği Projesi, 2021 - 2024

  • Proje Türü: TÜBİTAK Uluslararası İkili İşbirliği Projesi
  • Başlama Tarihi: Ekim 2021
  • Bitiş Tarihi: Nisan 2024

Proje Özeti

TESBE will enable thermal energy storage and energy conservation in buildings and occupant thermal comfort control via the development of building elements involving novel, sustainable, low-carbon and affordable composites. Incorporating waste materials and phase change materials (PCMs) following circular economy practices, these composites with latent heat storage capabilities will be utilised in building envelopes and internal building components for different purposes including reduction of space conditioning energy consumption, reduction and shifting of thermal peak load, and indoor temperature control. For the composite binder, different types of locally available waste materials with varying chemical compositions will be activated, followed by stimulating the nucleation and growth process via a novel seeding process. Mechanical, microstructural and thermal evaluations will be supported by case studies featuring buildings incorporating the developed composites for further characterisation and thermal evaluation. Energy models of representative residential, commercial and public buildings utilising developed composites in various building elements will be prepared. Simulation-based analyses will be performed for systematic and quantitative evaluation of various performance metrics including energy consumption, carbon footprint, reduction/shift in peak energy load and occupant thermal comfort of case buildings against different seasonal and daily outdoor temperature ranges considering different climatic zones and climate change impact. To maximize benefits, obtained simulation-based datasets will be used in supervised machine-learning algorithms to make predictions on optimised composite compositions for different climatic zones. A small-scale trial simulating typical daily temperature variation in a selected climatic zone will also be conducted. Thermal performance will be evaluated in terms of thermal inertia, thermal energy storage rate and internal heat flux before/after thermal cycles to assess thermal energy storage capabilities. Experimental results will be verified with numerical modelling. Environmental and economic benefits will be determined by life cycle and cost analyses, resulting in sustainable and low-cost building products applicable for different environments.