Achieving Net-Zero Energy Buildings: Analyzing and Optimizing Strategies Using Sensitivity Analysis DOI Open Access

Alireza Asgari Motlagh,

Saeideh Havaeji,

Mansour Orangian

et al.

Journal of Asian Energy Studies, Journal Year: 2024, Volume and Issue: 8, P. 51 - 67

Published: July 17, 2024

Enhancing building energy efficiency and incorporating renewable technologies are crucial for combating climate change promoting sustainability. This study employed a sensitivity analysis to evaluate the influence of various parameters on costs consumption. Standardized Regression Coefficients (SRC) were used measure each variable. The type glass, wall construction, window-to-wall ratios, shading elements identified as having most significant impact electricity usage. SRC values provided numerical representation strength direction relationship between these factors output variables. Furthermore, quantified savings achieved through optimization methods. data indicated an average reduction in consumption 22%, with variations 21% 23% across different floors. These results highlighted effectiveness optimizing variables applying energy-efficient design principles. findings this investigation enhance our understanding role efficiency. They can serve reference making decisions integrating into buildings designing them. strategies help reduce environmental impact, promote sustainable construction practices, achieve savings.

Language: Английский

Achieving Net-Zero Energy Buildings: Analyzing and Optimizing Strategies Using Sensitivity Analysis DOI Open Access

Alireza Asgari Motlagh,

Saeideh Havaeji,

Mansour Orangian

et al.

Journal of Asian Energy Studies, Journal Year: 2024, Volume and Issue: 8, P. 51 - 67

Published: July 17, 2024

Enhancing building energy efficiency and incorporating renewable technologies are crucial for combating climate change promoting sustainability. This study employed a sensitivity analysis to evaluate the influence of various parameters on costs consumption. Standardized Regression Coefficients (SRC) were used measure each variable. The type glass, wall construction, window-to-wall ratios, shading elements identified as having most significant impact electricity usage. SRC values provided numerical representation strength direction relationship between these factors output variables. Furthermore, quantified savings achieved through optimization methods. data indicated an average reduction in consumption 22%, with variations 21% 23% across different floors. These results highlighted effectiveness optimizing variables applying energy-efficient design principles. findings this investigation enhance our understanding role efficiency. They can serve reference making decisions integrating into buildings designing them. strategies help reduce environmental impact, promote sustainable construction practices, achieve savings.

Language: Английский

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