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

Abstract

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