An investigation on energy consumption in residential building with different orientation: a BIM approach

被引:0
|
作者
Yarramsetty S. [1 ]
Rohullah M.S. [1 ]
Sivakumar M.V.N. [1 ]
Anand Raj P. [1 ]
机构
[1] Department of Civil Engineering, National Institute of Technology Warangal, Hanmkonda, 506 004, Telangana
关键词
Building information modelling (BIM); Building orientation; Energy simulations; Multi-family residential house; Sustainability;
D O I
10.1007/s42107-019-00189-z
中图分类号
学科分类号
摘要
The present work targets to provide a simplified energy analysis to assess the influence of the orientation of the buildings. The energy savings mostly depends on the solar heat gain and more often local factors including social lifestyle. A multi-storied, multifamily residential house in Afghanistan is considered as case study. The first step in this analysis is to develop a 3D model of the building. The second step is to study the energy scenarios for different orientations through simulations. Then the energy analysis is performed. In this study taking the whole building as a unit for energy analysis, 24 test scenarios are considered by changing the building orientation 15° rotation each time including the actual orientation. It is observed from the analysis of data collected that a saving of $1393 from the best orientation (+ 315° clockwise) to the worst orientation (+ 165° clockwise). The simulated electricity demand is validated by taking the original bills of the actual orientation and it is observed the values are 2.65% greater than the simulated values. © 2019, Springer Nature Switzerland AG.
引用
收藏
页码:253 / 266
页数:13
相关论文
共 50 条
  • [1] An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)
    Abanda, F. H.
    Byers, L.
    [J]. ENERGY, 2016, 97 : 517 - 527
  • [2] THE EFFECT OF BUILDING ORIENTATION ON ENERGY CONSUMPTION-A CASE STUDY OF RESIDENTIAL BUILDING IN SHIRAZ
    Barzegar, Zahra
    Jahanbakhsh, Heidar
    Mousavi, Seyyed Hassan
    [J]. IIOAB JOURNAL, 2016, 7 : 200 - 210
  • [3] INVESTIGATION AND ANALYZING OF ENERGY CONSUMPTION FOR RESIDENTIAL BUILDING IN WUHAN CITY
    Ye, X. J.
    Yamaguchi, H.
    Niu, X. D.
    Wen, Y. G.
    Li, J. W.
    You, W. C.
    [J]. 7TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, PROCEEDINGS OF ISHVAC 2011, VOLS I-IV, 2011, : 227 - 231
  • [4] Prediction of residential building energy consumption: A neural network approach
    Biswas, M. A. Rafe
    Robinson, Melvin D.
    Fumo, Nelson
    [J]. ENERGY, 2016, 117 : 84 - 92
  • [5] Simulation on building energy consumption for a residential building
    Liu, Zeqin
    Zuo, Zhenjun
    Li, Lin
    [J]. POWER AND ENERGY SYSTEMS III, 2014, 492 : 143 - 146
  • [6] Energy efficiency of residential buildings: energy consumption and investment costs of different building energy standards
    Beecken, Christoph
    Schulze, Stephan
    [J]. BAUPHYSIK, 2011, 33 (06) : 338 - 344
  • [7] BIM-based investigation of total energy consumption in delivering building products
    Zhang, Cheng
    Nizam, Raja Shahmir
    Tian, Lu
    [J]. ADVANCED ENGINEERING INFORMATICS, 2018, 38 : 370 - 380
  • [8] Projects on energy consumption and indoor climate of urban residential building investigation in China
    Yoshino, Hiroshi
    Jiang, Zhongtian
    Li, Zhenhai
    Li, Nianping
    Liu, Jing
    [J]. FIRST INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT, PROCEEDINGS VOLS 1-3, 2008, : 2244 - 2250
  • [9] INFLUENCE AND ANALYSIS OF RESIDENTIAL BUILDING ORIENTATION ON BUILDING ENERGY CONSUMPTION AT HOT SUMMER AND COLD WINTER ZONE IN CHANGSHA, CHINA
    Dong, Q.
    Li, N. P.
    Wang, B. J.
    Yang, Y.
    Xiao, Z. H.
    Duan, J. J.
    Sha, Z.
    [J]. 7TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR CONDITIONING, PROCEEDINGS OF ISHVAC 2011, VOLS I-IV, 2011, : 1136 - 1140
  • [10] Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach
    Sadaghat, Behnam
    Afzal, Sadegh
    Khiavi, Ali Javadzade
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 251