Page 44 - InnoRenew CoE International Conference 2020, Integrating Sustainability and Health in Buildings
P. 44
idential Building Optimisation Using Passive Design Strategies
Kristóf Roland Horváth1, Zsolt Ercsey2, Zoltán Kovács3, István Kistelegdi4
1 Marcel Breuer Doctoral School, Faculty of Engineering and Information Technology, kristo-frol@gmail.com
2 University of Pécs, Faculty of Engineering and Information Technology, Institute of Information and Electrical Technology,
Department of Systems and Software Technology, ercsey@mik.pte.hu
3 Optin Ltd, zoltan.kovacs@optin.hu
4 University of Pécs, János Szentágothai Research Centre, Energy Design Research Group, kistelegdisoma@mik.pte.hu
A fundamental problem of the sustainable built environment development represents the poor
optimisation content in the design process. While first studies focus on algorithms for only one
particular subsystem (e.g., insulation, shading, heating generation, etc.), the overall complete
building optimisation is still missing. Though the patented Energia Design Method applies
sophisticated energy, climate, comfort, lighting, aerodynamics, life cycle assessment simulation
techniques as a heuristic support for overall building optimisation, all possible design cases and,
therefore, the optimum is still not guaranteed.
To overcome these shortcomings, a previous study integrated a synthesis step to generate all
feasible and possible building cases considering the most decisive passive design elements.
A specific building design problem demonstrates the method in form of a simple residential
building. With simulation-based assessment of comfort and energy performance, an order
including the n-best solutions could be achieved, and the passive exemplary modelling of
Energia Design Systhesis was proven.
The current research proposes the extension of the optimisation process with active system
configurations. The gained optimal design cases serve as initial models to be equipped with all
residential housing related heat transfer, heat generation, as well as energy supply systems,
including mechanical and natural ventilation strategies. Lighting and operation control complete
the active-hybrid modelling. All reasonable system combinations are created and assessed by
complex building physics simulations. Evaluation of the thermal and visual comfort and energy
results were processed by predefined user specific weighting system(s) to elaborate a final
order with the guaranteed optimal overall building solution. This active system optimisation
modelling completed the successful validation of the Energia Design Synthesis method. After
the passive and active optimisation process, a series of interrelations and affecting factors were
analysed and primary correlations defined as basis for an automated algorithm system that is
able to absolve the complete optimisation process.
Keywords: optimisation, residential building, synthesis, active design strategy
INNORENEW COE INTERNATIONAL CONFERENCE 2020
44
Kristóf Roland Horváth1, Zsolt Ercsey2, Zoltán Kovács3, István Kistelegdi4
1 Marcel Breuer Doctoral School, Faculty of Engineering and Information Technology, kristo-frol@gmail.com
2 University of Pécs, Faculty of Engineering and Information Technology, Institute of Information and Electrical Technology,
Department of Systems and Software Technology, ercsey@mik.pte.hu
3 Optin Ltd, zoltan.kovacs@optin.hu
4 University of Pécs, János Szentágothai Research Centre, Energy Design Research Group, kistelegdisoma@mik.pte.hu
A fundamental problem of the sustainable built environment development represents the poor
optimisation content in the design process. While first studies focus on algorithms for only one
particular subsystem (e.g., insulation, shading, heating generation, etc.), the overall complete
building optimisation is still missing. Though the patented Energia Design Method applies
sophisticated energy, climate, comfort, lighting, aerodynamics, life cycle assessment simulation
techniques as a heuristic support for overall building optimisation, all possible design cases and,
therefore, the optimum is still not guaranteed.
To overcome these shortcomings, a previous study integrated a synthesis step to generate all
feasible and possible building cases considering the most decisive passive design elements.
A specific building design problem demonstrates the method in form of a simple residential
building. With simulation-based assessment of comfort and energy performance, an order
including the n-best solutions could be achieved, and the passive exemplary modelling of
Energia Design Systhesis was proven.
The current research proposes the extension of the optimisation process with active system
configurations. The gained optimal design cases serve as initial models to be equipped with all
residential housing related heat transfer, heat generation, as well as energy supply systems,
including mechanical and natural ventilation strategies. Lighting and operation control complete
the active-hybrid modelling. All reasonable system combinations are created and assessed by
complex building physics simulations. Evaluation of the thermal and visual comfort and energy
results were processed by predefined user specific weighting system(s) to elaborate a final
order with the guaranteed optimal overall building solution. This active system optimisation
modelling completed the successful validation of the Energia Design Synthesis method. After
the passive and active optimisation process, a series of interrelations and affecting factors were
analysed and primary correlations defined as basis for an automated algorithm system that is
able to absolve the complete optimisation process.
Keywords: optimisation, residential building, synthesis, active design strategy
INNORENEW COE INTERNATIONAL CONFERENCE 2020
44
