Version 1
: Received: 29 October 2024 / Approved: 30 October 2024 / Online: 30 October 2024 (11:36:28 CET)
How to cite:
Taleb, H. M.; Chami, N.; Kayed, M.; Spanos, I.; Kamal, H.; Hamdan, H.; Deshpande, N. Deep Retrofitting Study of Government Buildings in the UAE. Preprints2024, 2024102394. https://doi.org/10.20944/preprints202410.2394.v1
Taleb, H. M.; Chami, N.; Kayed, M.; Spanos, I.; Kamal, H.; Hamdan, H.; Deshpande, N. Deep Retrofitting Study of Government Buildings in the UAE. Preprints 2024, 2024102394. https://doi.org/10.20944/preprints202410.2394.v1
Taleb, H. M.; Chami, N.; Kayed, M.; Spanos, I.; Kamal, H.; Hamdan, H.; Deshpande, N. Deep Retrofitting Study of Government Buildings in the UAE. Preprints2024, 2024102394. https://doi.org/10.20944/preprints202410.2394.v1
APA Style
Taleb, H. M., Chami, N., Kayed, M., Spanos, I., Kamal, H., Hamdan, H., & Deshpande, N. (2024). Deep Retrofitting Study of Government Buildings in the UAE. Preprints. https://doi.org/10.20944/preprints202410.2394.v1
Chicago/Turabian Style
Taleb, H. M., Hanin Hamdan and Nilesh Deshpande. 2024 "Deep Retrofitting Study of Government Buildings in the UAE" Preprints. https://doi.org/10.20944/preprints202410.2394.v1
Abstract
This report summarizes the findings of a deep retrofitting modelling study of four government buildings across the UAE. Buildings envelope assessment, HVAC, and electrical systems design, installed conditions, maintenance practices and operation methods, and rigorous engineering analysis has been performed for the four buildings to produce calibrated energy models that confirm a good correlation between actual annual energy consumption and advanced simulated energy modeling results. IES-VE software, ASHRAE Guideline 14, and IPMVP were the basis of the energy model calibration based on actual data. Energy retrofitting options were applied to the calibrated energy models of the four government buildings where advanced computational modeling studies have been utilized to analyze different thermal envelope components and external fabric energy efficiency measures in conjunction with the actual HVAC systems. The results have shown that it may be financially challenging to implement a single envelope retrofitting measure on any of the four buildings due to high payback periods. Nevertheless, when conducting an optimization through a holistic building approach targeting the overall envelope enhancements, the financial modeling results provide significantly improved and provide reduced payback periods of the solutions, making them more attractive to investors. Based on the energy modeling results and the cost of the various proposed building envelope solutions provided by Saint-Gobain, the payback period in all cases varies between 15 to 20 years. However, huge savings in terms of carbon emissions are achieved by implementing the deep retrofitting measures, crucial to achieving carbon neutrality within the UAE built environment. Deep retrofitting is a promising segment of the execution roadmap as part of the UAE's decarbonization journey; even though it is capital-intensive upfront, it has a major impact on long-term operational savings. Moreover, it is often more cost-effective than building new and energy-efficient structures from scratch. The findings indicate that deep retrofitting can be a techno-financially viable solution if it is well-planned during major refurbishment or as part of building maintenance. It has significant potential to reduce carbon emissions while also providing a range of benefits such as operational cost savings, improved thermal comfort – a feature which has a direct impact on perceived efficiency and productivity at work, indoor air quality, improved asset value, reputational enhancement, and better choice for environmentally-cautious tenants or buyers.
Keywords
Building retrofit; energy consumption; carbon emissions; Government buildings; UAE; IES software
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.