Modelling Building Stock Energy Consumption at the Urban Level from an Empirical Study

Abstract

Quantifying the energy consumption of buildings is a complex and multi-scale task, with the entire process dependent on input data and urban surroundings. However, most urban energy models do not account for the urban environment. This paper employs a physical-based, bottom-up method to predict urban building operating energy consumption, using imported topography to consider shading effects on buildings. This method has proven to be feasible and aligned well with the benchmark. Research also suggests that commercial and transport buildings have the highest energy use intensity, significantly more than residential and office buildings. Specifically, cooling demands far outweigh heating demands for these building types. Therefore, buildings in the commercial and transportation sectors would receive greater consideration for energy efficiency and improvements to the cooling system would be a priority. Additionally, the method developed for predicting building energy demand at an urban scale can also be replicated in practice.

Modelación energética en barrios de Valdivia: Aplicación de la Calificación Energética de Viviendas para el análisis de tipologías y su potencial de mejora

“…Por otra parte, permite conocer con mayor precisión la distribución del consumo energético en la ciudad y las principales variables que influyen en este para generar políticas que aporten a mejorar la habitabilidad y sustentabilidad de las ciudades (Mutani, & Todeschi, 2017). Esta información es clave tanto para la focalización y el seguimiento de las políticas públicas, como también para promover otro tipo de iniciativas comunitarias o privadas que permitan avanzar con mayor rapidez en el reacondicionamiento del parque construido de viviendas e implementar programas prioritarios a gran escala (Ferrando et al, 2020;Ji et al, 2022;Martins et al, 2019).…”

Decarbonization Strategies in the UAE Built Environment: An Evidence-Based Analysis Using COP26 and COP27 Recommendations

“…One of the key aspects was to gain a deeper understanding of how the building operates and performs in the operational phase. As discussed in the methods section, energy modeling was used to estimate the annual energy consumption of the Institute, which is informed by factors such as climate, orientation, the geometry of the building, construction materials, mechanical infrastructure, and electrical systems [47].…”

Building Energy-Saving Technology

“…Despite knowing the individual building's energy performance, it is also very important to determine the whole building's energy consumption at a larger scale, as buildings interact with each other as well as the local environment. Ji et al [10] developed a physicalbased bottom-up method to predict the building operation energy consumption at the urban scale, and used imported topography to consider the shading effects on buildings. The outcomes of the results were found to agree with the benchmark.…”