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Title:Modeling heat transfer in an urban settlement with 3D cellular automata and artificial intelligence
Authors:ID Leskovar, Robert (Author)
Files:URL https://press.um.si/index.php/ump/en/catalog/book/1132/chapter/1265
 
.pdf Modeling+Heat+Transfer+in+an+Urban+Settlement+with+3D+Cellular+Automata+and+Artificial+Intelligence_(1).pdf (1,55 MB)
MD5: 180B1F81C0BD7CFFDA8562E13FE8C125
 
Language:English
Work type:Article
Typology:1.16 - Independent Scientific Component Part or a Chapter in a Monograph
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:This chapter presents a three-dimensional (3D) cellular automata (CA) model simulating urban heat transfer in an artificial 50 × 50 × 20 m city block at moderate latitude (� = 46.24◦ N). Each cell is assigned one of five material classes — outdoor air, asphalt, park/grass, structural concrete, and interior air — and advances temperature states through eight physics layers: conductive diffusion, solar heating, nocturnal radiative cooling, free-atmosphere relaxation, asphalt plume convection, surface Newton cooling, interior ventilation, and boundary conditions. A distinguishing aspect of this work is its development workflow: rather than conventional coding, human-specified intent and domain constraints in natural language guided Claude AI (Anthropic) [27] in generating, debugging, and iteratively refining the Python implementation. The human supplied physical intuition, validated outputs, and corrected physically implausible results through a joint debugging process. Preliminary simulations over a 30-day May period demonstrate realistic diurnal temperature cycles, street-surface temperatures 4– 6 ◦C above park surfaces at solar noon, and an asphalt plume decaying exponentially up to 10 m above ground. These results confirm the CA paradigm’s suitability for urban heat studies [5, 2] and illustrate the potential of large language model (LLM)-assisted scientific prototyping.
Keywords:cellular automata, urban heat transfer, human-machine interaction, AI, assisted coding, urban microclimate
Publication status:Published
Publication version:Version of Record
Publication date:18.06.2026
Year of publishing:2026
Number of pages:Str. 151-168
PID:20.500.12556/DKUM-98847 New window
UDC:004.8
COBISS.SI-ID:283876355 New window
DOI:10.18690/um.fov.5.2026.8 New window
Publication date in DKUM:13.07.2026
Views:279
Downloads:6
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a monograph

Title:Artificial intelligence and environmental challenges : research insights and emerging solutions
Editors:Robert Leskovar
Place of publishing:Maribor
Publisher:University of Maribor, University of Maribor Press
Year of publishing:2026
ISBN:978-961-299-160-9
COBISS.SI-ID:281943555 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P5-0018-2019
Name:Sistemi za podporo odločanju v digitalnem poslovanju

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:celični avtomati, prenos toplote v mestih, interakcija človek-stroj, kodiranje s pomočjo umetne inteligence, urbana mikroklima


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