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P. 53
mulation Database Development Supporting Building Optimisation
Kristóf Roland Horváth 1, Zsolt Ercsey 2, Tamás Storcz 3, Zoltán Kovács 4, István Kistelegdi 5
1. Marcel Breuer Doctoral School, University of Pécs, Faculty of Engineering and Information Technology, 7624 Pécs, Boszorkány
street 2, horvath.kristof.roland@mik.pte.hu
2. Department of Systems and Software Technologies, University of Pécs, Faculty of Engineering and Information Technology, 7624
Pécs, Boszorkány street 2, ercsey.zsolt@pte.hu
3. Department of Systems and Software Technologies, University of Pécs, Faculty of Engineering and Information Technology, 7624
Pécs, Boszorkány street 2, storcz.tamas@mik.pte.hu
4. Optin.Ltd Zoltan, zoltan.kovacs@optin.hu
5. Energy Design Research Group, University of Pécs, Faculty of Engineering and Information Technology, 7624 Pécs, Boszorkány
street 2, kistelegdisoma@mik.pte.hu
More than 40% of the worldwide primary energy consumption is dedicated to the building industry. An
incomplete optimisation content in the architecture design process may cause fundamental problems
of sustainable building development. Most studies focus only on particular subsystems (e.g., insulation,
shading, heating generation, etc.) or optimize geometry by only modifying some basic parameters of
oversimplified rectangular spaces (e.g., aspect ratio, height, etc.), while the overall complete building
optimisation, including comprehensive geometry generation, is yet to be solved. Moreover, most building
energy optimization studies deploy stochastic evolutionary strategies (e.g., generative algorithms) to
randomly generate building cases with a limited number population and generation, all possible design
cases are not considered and therefore the optimum is still not guaranteed.
To overcome some shortcomings, the patented Energia Design Method that facilitates sophisticated
energy, climate, comfort, lighting, aerodynamics, life cycle assessment simulation techniques were
extended and first the algorithmic generation of all potentially optimal building cases considering the
most decisive passive design variables was completed for some classes of problems. After selecting
one of the simplest class, namely a residential building of average size and having six different zones,
the particular work considers further steps in the form of a robust and significant simulation design and
database implementation. For this simple case, more than 5000 simulations were performed, and from
thermal and visual comfort as well as energy efficiency point of view, the most crucial six features were
selected and summarised. The current presentation specifies the details of the work and evaluates the
simulation results from the architecture point of view.
Keywords: building simulation, database, optimisation, evaluation
Acknowledgement
First Author gratefully acknowledges receiving funding from the Bilateral Scientific and Technological
(TÉT) Cooperation grant program name (#Grant-2019-2.1.11-TÉT) and the support of the Szentágothai
János Research Centre.
HEALTHY AND SUSTAINABLE RENOVATION WITH RENEWABLE MATERIALS
53
Kristóf Roland Horváth 1, Zsolt Ercsey 2, Tamás Storcz 3, Zoltán Kovács 4, István Kistelegdi 5
1. Marcel Breuer Doctoral School, University of Pécs, Faculty of Engineering and Information Technology, 7624 Pécs, Boszorkány
street 2, horvath.kristof.roland@mik.pte.hu
2. Department of Systems and Software Technologies, University of Pécs, Faculty of Engineering and Information Technology, 7624
Pécs, Boszorkány street 2, ercsey.zsolt@pte.hu
3. Department of Systems and Software Technologies, University of Pécs, Faculty of Engineering and Information Technology, 7624
Pécs, Boszorkány street 2, storcz.tamas@mik.pte.hu
4. Optin.Ltd Zoltan, zoltan.kovacs@optin.hu
5. Energy Design Research Group, University of Pécs, Faculty of Engineering and Information Technology, 7624 Pécs, Boszorkány
street 2, kistelegdisoma@mik.pte.hu
More than 40% of the worldwide primary energy consumption is dedicated to the building industry. An
incomplete optimisation content in the architecture design process may cause fundamental problems
of sustainable building development. Most studies focus only on particular subsystems (e.g., insulation,
shading, heating generation, etc.) or optimize geometry by only modifying some basic parameters of
oversimplified rectangular spaces (e.g., aspect ratio, height, etc.), while the overall complete building
optimisation, including comprehensive geometry generation, is yet to be solved. Moreover, most building
energy optimization studies deploy stochastic evolutionary strategies (e.g., generative algorithms) to
randomly generate building cases with a limited number population and generation, all possible design
cases are not considered and therefore the optimum is still not guaranteed.
To overcome some shortcomings, the patented Energia Design Method that facilitates sophisticated
energy, climate, comfort, lighting, aerodynamics, life cycle assessment simulation techniques were
extended and first the algorithmic generation of all potentially optimal building cases considering the
most decisive passive design variables was completed for some classes of problems. After selecting
one of the simplest class, namely a residential building of average size and having six different zones,
the particular work considers further steps in the form of a robust and significant simulation design and
database implementation. For this simple case, more than 5000 simulations were performed, and from
thermal and visual comfort as well as energy efficiency point of view, the most crucial six features were
selected and summarised. The current presentation specifies the details of the work and evaluates the
simulation results from the architecture point of view.
Keywords: building simulation, database, optimisation, evaluation
Acknowledgement
First Author gratefully acknowledges receiving funding from the Bilateral Scientific and Technological
(TÉT) Cooperation grant program name (#Grant-2019-2.1.11-TÉT) and the support of the Szentágothai
János Research Centre.
HEALTHY AND SUSTAINABLE RENOVATION WITH RENEWABLE MATERIALS
53
