Decision Making Tools for Sustainable Transition Toward Low Carbon Energy Technologies in the Residential Sector

Identificador:  TDX:3175

Handle: https://hdl.handle.net/20.500.11797/TDX3175

Autors:  Abokersh, Mohamed

Resum:
Aligning with the ambitious EU 2030 climate and energy package for cutting the greenhouse emissions and replacing conventional heat sources through the presence of renewable energy share to achieve net-zero-energy community, the stakeholders at residential sector are facing several technical, economic, and environmental issues to meet the EU targets in the near future. This thesis is focusing on two key structural transformations needed for sustainable transition towards clean energy production: the low carbon energy technologies problem represented by the solar district heating systems coupled with seasonal energy storage, and its application to achieve Nearly Zero Energy Buildings. The Tackling for these challenges is instigated through using design and optimization of clean energy systems incorporated with machine learning and data analysis to develop Computer-Aided Process Engineering tools. These tools would help in addressing the stakeholder’s challenges, thus contributing to the transition towards a more sustainable future.