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Energy-based target cost modelling for construction projects

delete2018-11-01
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PRE
AI
A
Aladdin Alwisy *
B
Béda Barkokébas
S
Samer Bu Hamdan
M
Mustafa Gül
M
Mohamed Al‐Hussein
DOI:10.1016/j.jobe.2018.06.010delete
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摘要

摘要

En 中文
Energy consumption is a key performance outcome influencing both the operational cost and environmental impact of a building. Studies exploring the connection between construction project capital cost and energy performance have presented a set of tools and models capable of evaluating the influence of construction systems on energy consumption metrics; however, what is lacking in these studies is a structured framework capable of systematically meeting desired project costs. This deficiency reduces the effectiveness of existing energy paradigms during the decision-making process. This paper thus introduces an energy-based target cost modelling framework (eTC) that achieves the balance between project cost and performance metrics through the combination of target costing principles and energy analysis techniques. The introduction of standardized energy factors, utilisation of energy simulation, and implementation of statistical analysis results in the development of energy-based mathematical models capable of efficiently evaluating construction system alternatives. Rule-based analysis is then employed to automatically select the construction system(s) that yield an optimised energy consumption according to a targeted cost and defined set of performance criteria. The accuracy of the developed mathematical models in predicting the energy consumption of buildings, an inaccuracy rate of 6.18%, makes eTC a reliable cost-driven guideline for energy consumption that can help construction practitioners to enhance the energy performance of a building within a desired cost.
Keyword:
Target costing
Target cost modelling
Energy simulation
Energy factors
Energy analysis
Artificial neural network
Rule-based analysis
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期刊

Journal of Building Engineering 封面图
Journal of Building Engineering
IF:
7.4
论文数:
1.7W
被引数:
6.6W

机构

U
university of alberta
学者数:
5.1W
论文数: 4.9W
被引数: 65
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