Mathematical modelling of embodied energy, greenhouse gases, waste, time-cost parameters of building projects: A review

被引:74
作者
Abanda, F. H. [1 ]
Tah, J. H. M. [1 ]
Cheung, F. K. T. [1 ]
机构
[1] Oxford Brookes Univ, Fac Technol Design & Environm, Dept Real Estate & Construct, Oxford Inst Sustainable Dev, Oxford OX3 0BP, England
基金
英国工程与自然科学研究理事会;
关键词
Carbon; Cost; Embodied energy; Time; Waste; LIFE-CYCLE ASSESSMENT; CO2; EMISSIONS; REGRESSION-ANALYSIS; CARBON FOOTPRINT; NEURAL-NETWORKS; CONSTRUCTION; PERFORMANCE; IMPACTS;
D O I
10.1016/j.buildenv.2012.07.014
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The construction industry including its support industries is one of the highest consumers of natural resources. In the act of consumption of natural resources during construction processes, embodied energy and greenhouse gases are emitted which have adverse effects on the natural environment. Thus, recent studies have revealed a significant interest in the quantification of embodied energy and greenhouse gases in construction processes. Unfortunately, current interpretations and quantification procedures of embodied energy and greenhouse gases are quite unclear. More also, while greenhouse gas and embodied energy quantification models are so disaggregated, studies reveal their existence in isolation without any links to other important environmental/construction management variables such as waste, time and cost. The objectives of this study are to identify the gaps in the current computation models, to reveal the relationships between the identified models and to propose a framework towards developing an integrated model for measuring embodied energy, greenhouse gases, construction waste, time and cost. The contributions of this study are three-fold. Firstly, the identification of the different models and variables, such that they can be used in computations, that can lead to consistent and comparable results. Secondly, investigate the relationships amongst embodied energy, greenhouse gases, construction waste, cost and time variables, that can facilitate the quantification process and hence potentially facilitate the engagement into low carbon building design by construction professionals. Lastly, lay the foundation for further research especially with regards to the integration of the different models and variables so that they can be measured simultaneously. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:23 / 37
页数:15
相关论文
共 99 条
  • [1] A case-based reasoning cost estimating model using experience by analytic hierarchy process
    An, Sung-Hoon
    Kim, Gwang-Hee
    Kang, Kyung-In
    [J]. BUILDING AND ENVIRONMENT, 2007, 42 (07) : 2573 - 2579
  • [2] Andrew A., 2003, EMBODIED ENERGY CO2
  • [3] [Anonymous], 2006, ISO14040 - Environmental management - Life cycle assessment - Principles and framework, DOI DOI 10.3403/30151316.
  • [4] [Anonymous], COST ENG
  • [5] [Anonymous], 2002, Construction Management Economics
  • [6] [Anonymous], REV EC STAT
  • [7] [Anonymous], THESIS OHIO U US
  • [8] [Anonymous], J HYDROL
  • [9] [Anonymous], 2003, THESIS U CALIFORNIA
  • [10] [Anonymous], AW WAST WAS IN PRESS