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> Optimization in modeFRONTIER

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Although the software is commercial, free licenses for modeFRONTIER are given particularly for the students of MEGA course.

External Links

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- modeFRONTIER Tutorial | Integration with STAR-CCM+ (Esteco Engineering)

- modeFRONTIER tutorials (By Kaveh Amouzgar)

> Reference Projects

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> MSc Theses

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> Computational Design Analysis of Height Scenarios in Residential High-rise under BENG 2020 | Student: S. Moumdjian

> Energy Space Layout: Designing space layout with optimised energy performance | Student: A., Fumagalli

> Zero Energy Potential of a High Rise Office Building in a Mediterranean Climate | Student: E. Giouri

> Computational optimization for facade design of a nearly zero-energy high-rise office building in temperate climate | Student:  D. Poniou

> Design parameter guidelines for purely passive cooling buildings in Tropical regions | Student: F. El Hadji

> Computational method for football stadium renovation: A computational method for the renovation of football stadiums to facilitate designers into making decisions | Student: A. Passoni

> Optimization Design Workflow for Large Roof Shading Systems | Student: M. Porcelli

> Sun shading of the future | Student: S. Prins

> Optimized Green Walls: Study of Vertical Green Systems’ Performance in an Urban Setting | Student: F. Guzman

> Visual Analytics for Generative Design Exploration | Student: J. v Kastel

> Computational Design Method Based on Multidisciplinary Design Optimization and Optioneering Techniques for Energy Efficiency and Cost Effectiveness| Student: A. Rodriguez

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> Other Publications

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> Performative computational architecture using swarm and evolutionary optimisation: A review. (Ekici, B., Cubukcuoglu, C., Turrin, M. and Sariyildiz, I.S. (2018))

> Dynamic and interactive re-formulation of multi-objective optimization problems for conceptual architectural design exploration (Yang, D., Di Stefano, D., Turrin, M., Sariyildiz, S. and Sun, Y. (2020))

> Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms (Turrin, M., Von Buelow, P., & Stouffs, R. (2011))

> Zero energy potential of a high-rise office building in a Mediterranean climate: Using multi-objective optimization to understand the impact of design decisions towards zero-energy high-rise buildings (Giouri, E.D., Tenpierik, M. and Turrin, M., (2020))

> Gaps and requirements for automatic generation of space layouts with optimised energy performance (Du, T., Turrin, M. Jansen, S. and van den Dobbelsteen, A., (2020))

> OPTIMUS: Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies for Grasshopper Algorithmic Modeling (Cubukcuoglu, C., Ekici, B., Tasgetiren, M.F. and Sariyildiz, S., (2019))

> Building energy optimization: An extensive benchmark of global search algorithms (Waibel, C., Wortmann, T., Evins, R. and Carmeliet, J., (2019))

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