[雙語翻譯]外文翻譯--基于新興bim的住宅建筑朝向?qū)δ芎挠绊懙难芯浚ü?jié)選）

1、4800 英文單詞， 英文單詞，2.5 萬英文字符，中文 萬英文字符，中文 7150 字Abanda F H, Byers L. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)[J].

2、 Energy, 2016, 97:517-527.An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)F.H.Abanda, L. ByersAbstract BIM (building

3、information modelling) has developed into a powerful solution that can improve many aspects of construction industry. Current research regarding the impact of orientation on a building's energy needs seldom tap into

4、the potential of BIM. This study investigates the impact of orientation on energy consumption in small-scale construction, and assesses how BIM can be used to facilitate this process. The methods adopted are three-fold.

5、Firstly, a real-life building is modelled using Revit, one of the leading BIM tools. Secondly, through green building Extensible Markup Language, the model is exported to Green Building Studio, one of the leading energy

6、simulation software. Thirdly, in the Green Building Studio, different building orientations are adopted and their impacts of the whole building energy are investigated. Based on the analysis of the energy consumption cor

7、responding to the different orientations, it emerged that a well-orientated building can save a considerable amount of energy throughout its life cycle. Specifically, a total electricity use difference of 17 056 kWh and

8、a total gas use difference of 27 988 MJ leading to a combined energy cost savings of £878 throughout a 30 year period between the best (+180° ) and worst (+45°) orientations of the building was achieved.Ke

9、ywords: BIM (building information modelling) ，Building orientation，Energy，Green Building Studio ，Small-scale construction， Sustainability1. BackgroundAccording to the recent the IPCC (Intergovernmental Panel on Climate C

10、hange) AR5 (Fifth Assessment Report), globally buildings were responsible for about 32% of energy consumption and emission of 19% of energy-related greenhouse gases in 2010. These shares impact negatively on the environm

11、ent and communities through global warming. With growing threats of global warming, it is not a surprise that the construction industry is now beginning to address the need for energy efficient buildings [17].There are s

12、everal factors that can influence the energy needs of a building, many of which can be managed to improve building energy efficiency. According to the International Energy Agency [30]; the energy performance of the build

13、ing envelope and its components (external walls, roofs, windows etc.) can be critical in deter- mining how much energy is required internally. Studies have suggested that lower energy consumption can be due to improved i

14、nsulation and more efficient building elements [18,59]. Occupants’ behaviour is suggested to impact the level of energy required for space heating in dwellings [3,37]. For example, the use of heating systems, space and a

15、ppliances will differ significantly between occupants with dissimilar behaviour [53]. The shape and size of a building can have an impact on energy consumption [5,20,24,25]. Catalina et al. [20] suggested that in order t

16、o minimise heat loss, a compact shape (e.g. a cube) is required. The ability that a building has to use solar radiation for heating and lighting may influence energy efficiency, which is often software and real data from

17、 an existing energy bill. In Section 10, the opportunities and challenges in the building energy simulation process are discussed. The paper concludes by a way of summary in Section 11.2. Aim and objectivesThe aim of the

18、 study is to investigate the impact that building orientation has on energy use within small-scale construction using emerging BIM. The research objectives are to:● explore BIM software and energy simulation systems for

19、modelling building orientation for the purposes of energy analysis;● investigate the impact of building orientation on energy consumption using appropriate BIM software systems● investigate the opportunities and limitat

20、ions involved in the analyses of the impact of building orientation on energy consumption in a BIM/energy simulation software environment.3. Research methodsA number of research methods were chosen, each or a combination

21、 of more than one was/were tailored to meet specific research objective(s). To facilitate understanding the research framework will be presented in Fig. 1.The first step consists of undertaking an extensive literature re

22、view about the different domain relevant to this study. Specifically, factors that affect building energy use, BIM and energy analysis software are reviewed. This led to the understanding of nexus between building energy

23、 orientation and building energy consumption. Furthermore, an extensive review of BIM and energy analysis software was conducted to establish their suitability for use in this study. Main literature sources for the revie

24、w include material from vendors' websites and peer-reviewed publications [1,2,7e9,15,22,34,48,54,61]. Secondly, based on the different soft- ware identified in the previous step, their uses in modelling of building a

25、nd energy simulation are investigated. The details of the simulation steps are indicated in Fig. 1. Thirdly, based on the pre- ceding step, the simulation processes are implemented on a chosen case study building with we

26、ll-known information. Choosing a building with well-known and established characteristics is important as it allows authors to easily analyse and interpret findings from iterating the different modelling of building orie

27、ntations. This allowed for an in-depth analysis of the potential in modelling building orientation in a BIM environment. To ensure the computational results are accurate, a second software is used to verify the results.

28、Fourthly, based on the case study analysis, one of the computed results is compared with data from a real energy data, in this case a bill. This some sort, serve as a validation of the whole computation.4. Building info

29、rmation modelling: what is it?Construction projects are becoming more complex and difficult to manage [12,21,62] and as technology develops, more construction professionals are familiarising themselves with BIM. This has

30、 led to a dramatic shift in attention towards the concept of BIM by the construction industry. BIM is currently the most common denomination for a new way of approaching the design, construction and maintenance of buildi

31、ngs [16]. It is the creation and use of coordinated, consistent, computable information about a building project - information that is parametric and that can be used for design decision-making, production of high-qualit