%0 Journal Article %1 wortmann_optimizing_2021 %A Wortmann, Thomas %A Natanian, Jonathan %D 2021 %J Journal of Physics: Conference Series %K %N 1 %P 012066 %R 10.1088/1742-6596/2042/1/012066 %T Optimizing solar access and density in Tel Aviv: Benchmarking multi-objective optimization algorithms %U https://doi.org/10.1088/1742-6596/2042/1/012066 %V 2042 %X This paper explores the trade-off between redeveloping an urban site with higher density and maintaining solar access for the surrounding context in the hot and dry climate of Tel Aviv. Such trade-offs are important for future urban development in the Middle East, where densification is a demographic and environmental need. We explore this trade-off with multi-objective optimization (MOO). Specifically, we benchmark seven MOO algorithms on two test problems with different, parametric typologies: courtyard and high-rise. For both problems, we aim to maximize Floor Area Ratio and the simulation-based Context Exposure Index, a novel metric based on the Israeli green building code. The high-rise emerges as the better performing typology, and HypE, SPEA2, and RBFMOpt as the most efficient and robust MOO algorithms.

@article{wortmann_optimizing_2021, abstract = {This paper explores the trade-off between redeveloping an urban site with higher density and maintaining solar access for the surrounding context in the hot and dry climate of Tel Aviv. Such trade-offs are important for future urban development in the Middle East, where densification is a demographic and environmental need. We explore this trade-off with multi-objective optimization (MOO). Specifically, we benchmark seven MOO algorithms on two test problems with different, parametric typologies: courtyard and high-rise. For both problems, we aim to maximize Floor Area Ratio and the simulation-based Context Exposure Index, a novel metric based on the Israeli green building code. The high-rise emerges as the better performing typology, and HypE, SPEA2, and RBFMOpt as the most efficient and robust MOO algorithms.}, added-at = {2022-12-02T10:29:14.000+0100}, author = {Wortmann, Thomas and Natanian, Jonathan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ff54ee506d78830f4f953890debba5ca/thomaswortmann}, copyright = {All rights reserved}, doi = {10.1088/1742-6596/2042/1/012066}, file = {Wortmann and Natanian - 2021 - Optimizing solar access and density in Tel Aviv B.pdf:D\:\\Sync\\References\\Zotero\\storage\\H9LI6JN4\\Wortmann and Natanian - 2021 - Optimizing solar access and density in Tel Aviv B.pdf:application/pdf}, interhash = {9895b371fd44bf10ace8bac480bcc8d9}, intrahash = {ff54ee506d78830f4f953890debba5ca}, issn = {1742-6596}, journal = {Journal of Physics: Conference Series}, keywords = {}, language = {en}, month = {11}, note = {Publisher: IOP Publishing}, number = 1, pages = 012066, shorttitle = {Optimizing solar access and density in {Tel} {Aviv}}, timestamp = {2022-12-02T09:29:14.000+0100}, title = {Optimizing solar access and density in {Tel} {Aviv}: {Benchmarking} multi-objective optimization algorithms}, url = {https://doi.org/10.1088/1742-6596/2042/1/012066}, urldate = {2021-11-19}, volume = 2042, year = 2021 }