Enhancing Building Energy Efficiency Assessment Through Benchmarking Techniques

Abstract

This chapter explores the application of benchmarking techniques to assess and improve building energy efficiency. It highlights the limitations in accurately capturing the complex interplay of factors influencing building energy use. Potential of blending methodologies, including artificial intelligence integration, to overcome these challenges are discussed. Blending methods offer a holistic approach by integrating various benchmarking techniques to provide more precise assessments of energy performance. The chapter presents a detailed discussion on the benefits of blending methods, showcasing how they improve prediction accuracy, enhance flexibility, and adaptability in benchmarking processes. Additionally, a case study illustrates the effectiveness of blending methodologies in predicting building energy consumption, demonstrating significant error reductions compared to individual models. Overall, this chapter underscores the importance of adopting advanced benchmarking techniques to drive improvements in building energy efficiency.