scholarly journals Exploring the Connection between Urban 3D Form and Building Energy Performance and the Influencing Mechanism

2021 ◽  
Vol 10 (10) ◽  
pp. 709
Author(s):  
Deng Wang ◽  
Guoqin Zhang ◽  
Tao Lin ◽  
Xinyue Hu ◽  
Zhuoqun Zhao ◽  
...  

Continuous growth of building energy consumption CO2 emission (BECCE) threatens urban sustainable development. Urban form is an important factor affecting BECCE. Compactness is a significant urban morphological characteristic. There is currently a lack of research on the effect of urban three-dimensional (3D) compactness on BECCE. To clarify the research value of 3D compactness, we investigated whether 3D compactness has a stronger impact on BECCE than two-dimensional (2D) compactness. A total of 288 buildings of the People’s Bank of China (PBOC) were divided into 5 zones according to building climate demarcation. As BECCE is affected mainly by four aspects (socioeconomic condition, building features, macroclimate, and urban form), the BECCE driven by urban form (BECCE-f) in each zone was calculated firstly using the partial least square regression model. Normalized compactness index (NCI) and normalized vertical compactness index (NVCI) were calculated with Python to quantify urban 2D and 3D compactness within a 1 km buffer of PBOC buildings. The mean NCI and NVCI values of each zone were adopted as 2D and 3D compactness of this zone. Gray correlation analysis of the five zones showed that the connection between the NVCI and BECCE-f is stronger than that between NCI and BECCE-f. Based on this, we believe that the emphasis of later research should be shifted to urban 3D form, not just 2D elements. 3D form can describe the real urban form in a more accurate and detailed manner. Emphasizing 3D morphological characteristics in studies of the relationship between urban form and building energy performance is more meaningful and valuable than only considering 2D characteristics. The impact mechanism of urban form on BECCE-f should also be analyzed from the perspective of 3D form. This study also provides beneficial solutions to building energy saving and low-carbon building construction.

2017 ◽  
Vol 39 (4) ◽  
pp. 492-500 ◽  
Author(s):  
Roger Hitchin

This Technical Note describes a framework for handling the inherent complexities of carbon emission and primary energy factors for networked electricity supply systems within building energy codes and similar policy instruments. The proposed framework reflects the main characteristics of carbon emissions from such networked supplies, while retaining a level of complexity (and simplification) comparable to that of procedures used in existing building energy codes. The main issues that are addressed are the time-varying nature of factors for networked supply, the impact of variability and curtailment for variable and intermittent renewable sources of electricity and relationship between “marginal” factors and “average” factors. These are important issues as the currently common use of annual system-average factors can result in misleading guidance as to the most effective ways of reducing carbon emissions or primary energy demand. The note first explains the relationship between building energy performance ratings and networked electric supplies. It then discusses the characteristics of electricity demand and the networked supply systems before proposing and discussing the framework. Practical application: A framework that can improve the reliability of building energy performance rating based on carbon emissions or primary energy factors.


2015 ◽  
Vol 7 (7) ◽  
pp. 9207-9230 ◽  
Author(s):  
Anna Pisello ◽  
Gloria Pignatta ◽  
Veronica Castaldo ◽  
Franco Cotana

2019 ◽  
Vol 111 ◽  
pp. 03077 ◽  
Author(s):  
Tiantian Du ◽  
Sabine Jansen ◽  
Michela Turrin ◽  
Andy van den Dobbelsteen

Space layout design is one of the most important phases in architectural design, and current studies have shown that it can affect building energy performance. However, its influence has not been quantified. This paper aims at investigating the impact of space layouts on building energy performance. We use the floor plan of an office building in the Netherlands as reference, and propose eleven space layouts based on the reference. Calculations are performed with the tools Honeybee and Ladybug in Grasshopper, which are developed based on Daysim and EnergyPlus, to simulate lighting, cooling and heating demand of these layouts. In addition, we couple daylight with thermal simulation, by importing the artificial lighting schedule calculated in Daysim to EnergyPlus. The result shows that the heating demand of the worst layout is 12% higher than the best layout, the cooling demand of the worst layout is 10% higher than the best layout, and the lighting demand of the worst layout is 65% higher than the best layout. The total final energy use of the worst layout is 19% higher than the best layout.


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