Enhancement of the Energy Performance of an Existing Building Using a Parametric Approach-Reference-Cited by-同舟云学术

Enhancement of the Energy Performance of an Existing Building Using a Parametric Approach

Published:2023-02 Issue:1 Volume:149 Page:
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Waqas Hassan¹,Shang Jianga²,Munir Iqra³,Ullah Safi⁴,Khan Rehan⁵,Tayyab Muhammad⁶^ORCID,Mousa B. G.⁷^ORCID,Williams Shaun⁸^ORCID

Affiliation:

1. Ph.D. Candidate, National Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, China Univ. of Geosciences, Wuhan 430074, China.

2. Professor, National Engineering Research Center for Geographic Information System, School of Computer Science, China Univ. of Geosciences, Wuhan 430074, China (corresponding author).

3. Ph.D. Candidate, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan Univ., Wuhan 430079, China.

4. Dept. of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Fudan Univ., Shanghai 200438, China.

5. Ph.D. Candidate, Ministry of Education, School of Geosciences and Info-Physics, Central South Univ., Changsha 410083, China.

6. Ph.D. Candidate, Institute of Natural Disaster Research, School of Environment, Northeast Normal Univ., Changchun 130024, China. ORCID: .

7. Dept. of Mining and Petroleum Engineering, Faculty of Engineering, Al-Azhar Univ., Cairo 11884, Egypt. ORCID: .

8. National Institute of Water and Atmospheric Research (NIWA Taihoro Nukurangi), Riccarton, Christchurch 8440, New Zealand. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JLEED9.EYENG-4546

Reference75 articles.

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2. Aksamija A. 2018. “Methods for integrating parametric design with building performance analysis.” In Proc. ARCC Conf. Repository. Philadelphia: Drexel Univ.

3. Alammar, A., W. Jabi, and S. Lannon. 2021. Predicting incident solar radiation on building’s envelope using machine learning. Cardiff, UK: Online Research United Kingdom.

4. Thermal Performance Evaluation of Walls with AAC Blocks, Insulating Plaster, and Reflective Coating

5. Assessing the solar potential of roofs in Valparaíso (Chile)

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