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.
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
%0 Journal Article
%1 wortmann_optimizing_2021
%A Wortmann, Thomas
%A Natanian, Jonathan
%D 2021
%J Journal of Physics: Conference Series
%K imported myown peer
%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 = {2022-01-07T16:29:35.000+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 = {imported myown peer},
language = {en},
month = nov,
note = {Publisher: IOP Publishing},
number = 1,
pages = 012066,
shorttitle = {Optimizing solar access and density in {Tel} {Aviv}},
timestamp = {2022-01-07T15:37:53.000+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
}