Statistical analysis of residential building energy consumption in Tianjin

Ling, Jihong; Zhao, Luhui; Xing, Jincheng; Lu, Zhiqiang

doi:10.1007/s11708-014-0327-5

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Many researchers have proposed various kinds of calculation methods based on the general model. For example, Li (2012) developed a software "SCBEC" base on the DINV standard to calculate BOEC [2]. Chen et al (2007) design a statistical method for calculating residential building energy consumption which can be applied to the whole life cycle [5]; Guo (2012) proposed a method to calculate the life cycle energy consumption of solar building [6].…”

Section: The Main Methods For Calculating Boecmentioning

confidence: 99%

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Comparative Analysis on the Calculation Method for Building Operational Energy Consumption

Zhou

Yan

et al. 2015

AMR

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This paper presents a comprehensive review on various methods for calculating the energy consumption for building operation. These methods are classified into five categories, including methods based on energy statistics, simulation methods based on unsteady state of energy consumption, the simplification methods based on steady state of energy consumption, energy rating label methods and energy monitoring methods. Through comparing and analyzing the characteristics, calculation content and scope of the application of these five methods, the advantages and disadvantages, applicability of each method to different type of buildings are examined. The results of this paper can be used to guide users to choose suitable method to calculate the operation energy consumption of the buildings with different types and architectural characteristics.

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Section: The Main Methods For Calculating Boecmentioning

confidence: 99%

“…Much attention have been paid on the calculation method of BOEC [2][3]. Some scholars put forward different calculation methods of BOEC, such as traditional energy statistics, the actual sampling method and full life-cycle approach.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis on the Calculation Method for Building Operational Energy Consumption

Zhou

Yan

et al. 2015

AMR

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“…The benchmarking of BEP considers a broad variety of different factors, including the floor area, and climate condition, among others, for commercial buildings [28]. Reference [132] found that the building floor area constitutes a large share in the space heating loads of residential buildings. The quantile regression results by [16] revealed that most drivers imposed strong diverse effects on BEP.…”

Section: Impact Of Building Floormentioning

confidence: 99%

Comprehensive Analysis of Influencing Factors on Building Energy Performance and Strategic Insights for Sustainable Development: A Systematic Literature Review

Olu-Ajayi,

Alaka,

Egwim

et al. 2024

Sustainability

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A prerequisite for decreasing the intensification of energy in buildings is to evaluate and understand the influencing factors of building energy performance (BEP). These factors include building envelope features and outdoor climactic conditions, among others. Based on the importance of the influencing factors in the development of the building energy prediction model, various researchers are continuously employing different types of factors based on their popularity in academic literature, without a proper investigation of the most relevant factors, which, in some cases, potentially leads to poor model performance. However, this can be due to the absence of an adequate comprehensive analysis or review of all factors influencing BEP ubiquitously. Therefore, this paper conducts a holistic and comprehensive review of studies that have explored the various factors influencing energy use in residential and commercial buildings. In total, 74 research articles were systematically selected from the Scopus, ScienceDirect, and Institute of Electrical Electronics Engineers (IEEE) databases. Subsequently, by means of a systematic and bibliometric analysis, this paper comprehensively analyzed several important factors influencing BEP. The results reveals the important factors (such as windows and roofs) and engendered or shed light on the application of some energy-efficient strategies such as the utilization of a green roof and photovoltaic (PV) window, among others.

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“…Con la mejora del nivel de vida que buscan todas las personas y el aumento del área de construcción per cápita, el consumo de energía del edificio residencial se ha convertido en la rama de crecimiento más rápido (Ling et al, 2014). Por lo mismo, el consumo de energía en el sector residencial ofrece una gran oportunidad para la conservación de los recursos, donde es importante comprender los determinantes del consumo de energía residen cial, para el diseño e implementación de políticas eficaces que incrementen la eficiencia energética del edificio (Brounen et al, 2012).…”

Section: Problemática Global Con El Uso De La Energíaunclassified

Energía y medio ambiente en edificaciones. Casos de estudios en el norte de México

Cruz¹,

Almada²,

Torre³

et al. 2022

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En este libro se abordan distintas problemáticas que ofrecen un acercamiento al conocimiento de los temas edificación-energía, tratados con una perspectiva muy práctica y particular del análisis de las problemáticas y de las posibles propuestas de solución a cada uno de los planteamientos. Los proyectos arquitectónicos abordados desde la aplicación de la tecnología han marcado una diferencia en las últimas décadas al tener herramientas más tecnológicas para su análisis, que suelen ser más exactas y optimizan tiempos de ejecución; como es el caso del que nos habla el capítulo desarrollado por Ochoa de la Torre, Galindo Borbón y Marincic Lovriha, referente a una metodología para el diseño lumínico de un edificio educativo y a los resultados de su evaluación utilizando un programa de cómputo complementada con mediciones de iluminación en un modelo a escala, montado sobre un heliodón, que simula el recorrido del sol en los días de diseño seleccionados, con el objetivo de demostrar cuál es el método más fiable para una óptima iluminación natural.

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Statistical analysis of residential building energy consumption in Tianjin

Cited by 6 publications

References 11 publications

Comparative Analysis on the Calculation Method for Building Operational Energy Consumption

Comparative Analysis on the Calculation Method for Building Operational Energy Consumption

Comprehensive Analysis of Influencing Factors on Building Energy Performance and Strategic Insights for Sustainable Development: A Systematic Literature Review

Energía y medio ambiente en edificaciones. Casos de estudios en el norte de México

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