Lila, A;
Sharmin, T;
Khalil, A;
Ismaeel, WSE;
Karram, M;
Ewida, S;
Zacharia, MM;
(2023)
Thermal comfort study in MSMEs in Cairo using onsite measurements and optimization algorithm.
In:
Proceedings of Building Simulation 2023: 18th Conference of IBPSA.
(pp. pp. 290-297).
IBPSA
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Abstract
Micro, Small & Medium Enterprises (MSMEs) in the hot climates in Egypt face many challenges with increased heat stress, reduced labour productivity and adverse occupational health effects, often leading to work injuries and heat stroke. This study investigates an MSME case study in Cairo, Egypt, dedicated to car maintenance in planned service areas. These workplaces suffer from poor thermal comfort and indoor conditions that significantly contribute to climate resilience and thus require immediate action. The study aims to evaluate the indoor thermal comfort conditions in the case study MSMEs using actual measurements and identify opportunities for improving indoor conditions using the Ladybug Tools in a Rhino-Grasshopper platform and genetic algorithm optimization approach. Through monitoring activities and thorough investigation, a validated model has been effectively established. The findings of this analysis have proven the capacity for performance enhancements by implementing parametric optimization methods in such limited time and conditions.
Type: | Proceedings paper |
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Title: | Thermal comfort study in MSMEs in Cairo using onsite measurements and optimization algorithm |
Event: | 2023 Building Simulation Conference |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.26868/25222708.2023.1374 |
Publisher version: | http://dx.doi.org/10.26868/25222708.2023.1374 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | Poor environmental conditions at the MSMEs in Cairo, Onsite monitoring of indoor environment at MSMEs, Using parametric simulation tools in validating and optimizing an existing case study |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
URI: | https://discovery.ucl.ac.uk/id/eprint/10198242 |
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