He, W; Li, W; Xu, S; Wang, W and An, X (2021) Time, cost, and energy consumption analysis on construction optimization in high-rise buildings. Journal of Construction Engineering and Management, 147(10): 04021128, ISSN 0733-9364
Abstract
The multiobjective optimization problems in project management have always been the issues on which project managers focus. Currently, few investigators consider the multiobjective optimization model suitable for high-rise buildings considering energy consumption optimization problems in construction. Nevertheless, the implementation of civil engineering in the construction industry is always an important cause of energy consumption. In this study, construction process analysis (CPA) is used to calculate statistical parameters of the energy consumption in high-rise buildings during the construction stage. Principal component analysis (PCA) is then used to describe the correlation among time, cost, and energy consumption, and also quantifies their interdependence. The statistical analysis illustrates that the correlation between energy consumption and cost is stronger than that between energy consumption and time. And the correlation between cost and time is similar to that between time and energy consumption. Additionally, cost and energy consumption have a positive correlation, cost and time have a negative correlation, and time and energy consumption also have a negative correlation. The major contribution of this study is to provide a time-cost-energy consumption multiobjective optimization model taking account of the different decision preferences of project managers. It could also help project managers create the best combination of project construction activities in practical engineering management. The simulation in a real case is proposed to verify the accuracy of the model. Furthermore, the model could also provide reference value for further construction projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction; high-rise building; multiobjective optimization; quantum genetic algorithm; time-cost-energy consumption |
| Index terms: | construction process, construction project, engineering management, preference, high-rise building, genetic algorithm, accuracy, principal component analysis, energy consumption, project management, interdependence, implementation, construction industry, project manager, statistical analysis, construction activity |
| Subjects: | energy systems, construction operations, contractual arrangements, data science, construction type, profession, control systems, building construction, organizational analysis, statistical analysis, industry analysis, algorithms, decision-making and reasoning, project management theory and practice, professional development, production management |
| Topics: | Site Management, Organizational Design, Digital Applications, Roles and Professions, Sustainability, Procurement, Construction Technology, Information Management, Research Practice, Project Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here