Sensitivity Analysis for Carbon Emissions of Prefabricated Residential Buildings with Window Design Elements

• Published in: Energies (Basel) Vol. 14; no. 19; p. 6436
• Main Authors: Li, Simeng, Cui, Yanqiu, Banaitienė, Nerija, Liu, Chunlu, Luther, Mark B.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-10-2021
• Subjects: Architects; Architecture; Building construction; Building design; Building facades; Buildings; Carbon dioxide; carbon emissions; Cold; Computer simulation; Construction; Design optimization; Design techniques; Designers; Emissions; Energy conservation; Energy consumption; Facades; Green buildings; Influence; Objective function; Prefabricated buildings; prefabricated residential building; Public buildings; Research methodology; Residential areas; Residential buildings; Sensitivity analysis; Variables; window design; China
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14196436

Owing to the advantages of high construction efficiency, prefabricated residential buildings have been of increasing interest in recent years. Against the background of global heating, designing low-carbon facades for prefabricated residential buildings has become a focus. The main challenge for this research is in designing windows for prefabricated residential buildings that can lead to the best performance in carbon emissions. The purpose of this paper is to summarize window design advice for prefabricated residential building facades with low-carbon goals. This paper adopts the single control variable research method. Building energy consumption and carbon dioxide emissions under different conditions comprise the primary data used in the study. In the process of achieving the research aim, this study firstly extracts the window design elements of prefabricated residential facades. Secondly, objective function formulas are established and a basic model is built for obtaining data. Thirdly, data results are analyzed and window design advice is put forward under the condition of a low-carbon goal. This paper discusses that the optimal window-to-wall ratio (WWR) with a low-carbon orientation is around 0.15, and compares it innovatively with the optimal WWR under an energy-saving orientation at around 0.38. The research results of this paper can deepen the understanding of architectural low-carbon design and play a guiding role for architects.