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Feng, K., Lu, W. & Wang, Y. (2019). Assessing environmental performance in early building design stage: An integrated parametric design and machine learning method. Sustainable cities and society, 50, Article ID 101596.
Open this publication in new window or tab >>Assessing environmental performance in early building design stage: An integrated parametric design and machine learning method
2019 (English)In: Sustainable cities and society, ISSN 2210-6707, Vol. 50, article id 101596Article in journal (Refereed) Published
Abstract [en]

Decisions made at early design stage have major impacts on buildings’ life-cycle environmental performance. However, when only a few parameters are determined in early design stages, the detailed design decisions may still vary significantly. This may cause same early design to have quite different environmental impacts. Moreover, default settings for unknown detailed design parameters clearly cannot cover all possible variations in impact, and Monte Carlo analysis is sometimes not applicable as parameters’ probability distributions are usually unknown. Thus, uncertainties about detailed design make it difficult for existing environmental assessment methods to support early design decisions.

Thus, this study developed a quantitative method using parametric design technology and machine learning algorithms for assessing buildings’ environmental performance in early decision stages, considering uncertainty associated with detailed design decisions. The parametric design technology creates design scenarios dataset, then associated environmental performances are assessed using environmental assessment databases and building performance simulations. Based on the generated samples, a machine learning algorithm integrating fuzzy C-means clustering and extreme learning machine extracts the case-specific knowledge regarding designed buildings’ early design associated with environmental uncertainty. Proposed method is an alternative but more generally applicable method to previous approaches to assess building's environmental uncertainty in early design stages.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Building early design, Parametric design, Machine learning, Environmental impact, Prediction intervals
National Category
Construction Management
Research subject
Construction Management and Building Technology
Identifiers
urn:nbn:se:ltu:diva-75133 (URN)10.1016/j.scs.2019.101596 (DOI)2-s2.0-85067201337 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-06-28 (johcin)

Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-06-28Bibliographically approved
Krantz, J., Feng, K., Larsson, J. & Olofsson, T. (2019). ‘Eco-Hauling’ Principles to Reduce Carbon Emissions and the Costs of Earthmoving: a Case Study. Journal of Cleaner Production, 208, 479-489
Open this publication in new window or tab >>‘Eco-Hauling’ Principles to Reduce Carbon Emissions and the Costs of Earthmoving: a Case Study
2019 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 208, p. 479-489Article in journal (Refereed) Published
Abstract [en]

Mitigating emissions of carbon dioxide and other greenhouse gases is critical if we are to meet the increasing threats posed by global warming. Previous studies have shown conclusively that a substantial part of all carbon dioxide emissions comes from transportation, and that Eco-Driving principles based upon strategic, tactical, and operational decisions have the potential to reduce these emissions. However, these well-established principles have been neglected within the construction industry despite the large number of transport-related activities that attend most construction projects. This paper therefore aims to increase awareness and understanding within the industry of the potential reductions of both carbon dioxide emissions and the costs of earthmoving activities that could be achieved through the use of Eco-Driving principles. A new concept labeled ‘Eco-Hauling’, which extends the Eco-Driving concept to earthmoving, is proposed. A case study of a road project has been conducted and used to demonstrate the new concept. Discrete-event simulation is used to support the data analysis as it enables modeling of the dynamic interactions between equipment and activities of multiple different construction scenarios. The presented findings show that a combination of decisions taken from the proposed Eco-Hauling concept can enable earthmoving contractors to substantially reduce carbon dioxide emissions and costs while maintaining productivity. This study has implications for the general advancement of Eco-Driving theory, as well as for project management as it sets out a viable approach for reducing greenhouse gas emissions in construction projects.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Earthworks, Eco-Driving, Mass-Hauling, Off-Road dump truck, Discrete-Event simulation, Articulated hauler
National Category
Construction Management
Research subject
Construction Management and Building Technology
Identifiers
urn:nbn:se:ltu:diva-71227 (URN)10.1016/j.jclepro.2018.10.113 (DOI)000451362200045 ()2-s2.0-85056193207 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-11-07 (johcin) 

Available from: 2018-10-16 Created: 2018-10-16 Last updated: 2019-03-26Bibliographically approved
Feng, K., Lu, W., Olofsson, T., Chen, S., Yan, H. & Wang, Y. (2018). A predictive environmental assessment method for construction operations: Application to a Northeast China case study. Sustainability, 10(11), Article ID 3868.
Open this publication in new window or tab >>A predictive environmental assessment method for construction operations: Application to a Northeast China case study
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2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 11, article id 3868Article in journal (Refereed) Published
Abstract [en]

Construction accounts for a considerable number of environmental impacts, especially in countries with rapid urbanization. A predictive environmental assessment method enables a comparison of alternatives in construction operations to mitigate these environmental impacts. Process-based life cycle assessment (pLCA), which is the most widely applied environmental assessment method, requires lots of detailed process information to evaluate. However, a construction project usually operates in uncertain and dynamic project environments, and capturing such process information represents a critical challenge for pLCA. Discrete event simulation (DES) provides an opportunity to include uncertainty and capture the dynamic environments of construction operations. This study proposes a predictive assessment method that integrates DES and pLCA (DES-pLCA) to evaluate the environmental impact of on-site construction operations and supply chains. The DES feeds pLCA with process information that considers the uncertain and dynamic environments of construction, while pLCA guides the comprehensive procedure of environmental assessment. A DES-pLCA prototype was developed and implemented in a case study of an 18-storey building in Northeast China. The results showed that the biggest impact variations on the global warming potential (GWP), acidification potential (AP), eutrophication (EP), photochemical ozone creation potential (POCP), abiotic depletion potential (ADP), and human toxicity potential (HTP) were 5.1%, 4.1%, 4.1%, 4.7%, 0.3%, and 5.9%, respectively, due to uncertain and dynamic factors. Based on the proposed method, an average impact reduction can be achieved for these six indictors of 2.5%, 21.7%, 8.2%, 4.8%, 32.5%, and 0.9%, respectively. The method also revealed that the material wastage rate of formwork installation was the most crucial managing factor that influences global warming performance. The method can support contractors in the development and management of environmentally friendly construction operations that consider the effects of uncertainty and dynamics.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
environmental impacts, construction process simulation, process-based life cycle assessment, construction operations, supply chain
National Category
Infrastructure Engineering Construction Management
Research subject
Structural Engineering; Construction Management and Building Technology
Identifiers
urn:nbn:se:ltu:diva-71690 (URN)10.3390/su10113868 (DOI)000451531700042 ()2-s2.0-85055572047 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-11-21 (jochin) 

Available from: 2018-11-21 Created: 2018-11-21 Last updated: 2019-02-27Bibliographically approved
Feng, K., Lu, W., Chen, S. & Wang, Y. (2018). An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming. Sustainability, 10(11), Article ID 4207.
Open this publication in new window or tab >>An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming
2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 11, article id 4207Article in journal (Refereed) Published
Abstract [en]

Construction contractors play a vital role in reducing the environmental impacts during the construction phase. To mitigate these impacts, contractors need to develop environmentally friendly plans that have optimal equipment, materials and labour configurations. However, construction plans with optimal environment may negatively affect the project cost and duration, resulting in dilemma for contractors on adopting low impacts plans. Moreover, the enumeration method that is usually used needs to assess and compare the performances of a great deal of scenarios, which seems to be time consuming for complicated projects with numerous scenarios. This study therefore developed an integrated method to efficiently provide contractors with plans having optimal environment-cost-time performances. Discrete-event simulation (DES) and particle swarm optimisation algorithms (PSO) are integrated through an iterative loop, which remarkably reduces the efforts on optimal scenarios searching. In the integrated method, the simulation module can model the construction equipment and materials consumption; the assessment module can evaluate multi-objective performances; and the optimisation module fast converges on optimal solutions. A prototype is developed and implemented in a hotel building construction. Results show that the proposed method greatly reduced the times of simulation compared with enumeration method. It provides the contractor with a trade-off solution that can average reduce 26.9% of environmental impact, 19.7% of construction cost, and 10.2% of project duration. The method provides contractors with an efficient and practical decision support tool for environmentally friendly planning.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
construction contractor, environment-cost-time optimisation, particle swarm optimisation, discrete-event simulation, construction planning
National Category
Infrastructure Engineering Construction Management
Research subject
Construction Management and Building Technology; Structural Engineering
Identifiers
urn:nbn:se:ltu:diva-71814 (URN)10.3390/su10114207 (DOI)000451531700381 ()2-s2.0-85056598920 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-11-29 (svasva)

Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2019-02-27Bibliographically approved
Feng, K., Wang, Y. & Lu, W. (2017). The Environmental Performance of Prefabricated Building and Construction: A Critical Review. In: Yaowu Wang, Yongshi Pang, Geoffrey Q. P. Shen, and Yimin Zhu, (Ed.), ICCREM 2017: Project Management and Construction Technology : Proceedings of the International Conference on Construction and Real Estate Management 2017. Paper presented at International Conference on Construction and Real Estate Management, Guangzhou, China, NOV 10-12, 2017 (pp. 18-42). American Society of Civil Engineers (ASCE)
Open this publication in new window or tab >>The Environmental Performance of Prefabricated Building and Construction: A Critical Review
2017 (English)In: ICCREM 2017: Project Management and Construction Technology : Proceedings of the International Conference on Construction and Real Estate Management 2017 / [ed] Yaowu Wang, Yongshi Pang, Geoffrey Q. P. Shen, and Yimin Zhu,, American Society of Civil Engineers (ASCE), 2017, p. 18-42Conference paper, Published paper (Refereed)
Abstract [en]

The building industry consumes a large amount of nature resources and generates significant environment impacts around the world. To mitigate the resource consumption and associated environmental impacts, prefabricated building and construction has been proven to be one of the solutions. Several studies have been published in the past decade to explore the potential environmental benefits of prefabrication. However, a systematic and holistic review in the context of environmental impacts of prefabrication is still lacking. The research aims to reveal state-of-the-art and identify the research trends regarding environmental performance of prefabricated building and construction. To do so, a 4-stage literature retrieval and integrated analysis framework is designed to efficiently capture and examine the subject of interest. The results revealed that the most focused research subjects in this field are environmental and energy performances assessment, and carbon and energy are most used metrics to evaluate these performances. Almost all reviewed research demonstrated that prefabrication was better than conventional building on environmental performance. Nevertheless, the most frequently used assessment method is process based life cycle assessment developed from previous conventional building analysis, which may not be the proper method for prefabrication building. Operation, maintenance, and demolition obtain less study attention and it may worsen the final decision. Present data source that usually based on other research may invalid the final results. The revealed trends and gaps can serve as in-depth information and motivation for researchers to make further progress in prefabricated building study

Place, publisher, year, edition, pages
American Society of Civil Engineers (ASCE), 2017
National Category
Construction Management
Research subject
Construction Engineering and Management
Identifiers
urn:nbn:se:ltu:diva-67283 (URN)10.1061/9780784481059.003 (DOI)000418449200003 ()2-s2.0-85039866051 (Scopus ID)978-0-7844-8108-0 (ISBN)
Conference
International Conference on Construction and Real Estate Management, Guangzhou, China, NOV 10-12, 2017
Available from: 2018-01-15 Created: 2018-01-15 Last updated: 2018-06-13Bibliographically approved
Feng, K., Wang, Y., Lu, W. & Li, X. (2016). Weakness of Embodied Energy Assessment on Construction: A Literature Review. In: Yaowu Wang, Mohamed Al-Hussein. Geoffrey Q. P. Shen, Yimin Zhu (Ed.), ICCREM 2016: BIM Applications and offsite construction : Proceedings of the 2016 International Conference on Construction and Real Estate Management. Paper presented at International Conference on Construction and Real Estate Management, Edmonton, Canada, Sep. 29-Oct. 1, 2016 (pp. 547-559). American Society of Civil Engineers (ASCE)
Open this publication in new window or tab >>Weakness of Embodied Energy Assessment on Construction: A Literature Review
2016 (English)In: ICCREM 2016: BIM Applications and offsite construction : Proceedings of the 2016 International Conference on Construction and Real Estate Management / [ed] Yaowu Wang, Mohamed Al-Hussein. Geoffrey Q. P. Shen, Yimin Zhu, American Society of Civil Engineers (ASCE), 2016, p. 547-559Conference paper, Published paper (Refereed)
Abstract [en]

Construction industry consumes a large amount of energy and resources in both developed and developing countries. The opportunities for improving energy efficiency of construction could be research considering energy assessment and thereby providing suggestions for practical action. The research on embodied energy (EE) is an important endeavor of this orientation. The aim of this review paper is to investigate and analyze research weakness of present embodied energy study on construction. To do so, a professional searching tool called Academic 2.0 was employed to collect relevant publications from multiple databases in this research field. After obtaining relevant studies, paper elimination and information collection are performed based on predefined criteria. Data analysis was then performed and showed that assessment method, data sources, and research boundary differed dramatically amongst present study. And, they are weaknesses of current study. These results could help researchers deeply understand present study weakness and then overcome it in further study

Place, publisher, year, edition, pages
American Society of Civil Engineers (ASCE), 2016
National Category
Construction Management
Research subject
Construction Engineering and Management
Identifiers
urn:nbn:se:ltu:diva-62432 (URN)10.1061/9780784480274.065 (DOI)2-s2.0-85029577934 (Scopus ID)9780784480274 (ISBN)
Conference
International Conference on Construction and Real Estate Management, Edmonton, Canada, Sep. 29-Oct. 1, 2016
Available from: 2017-03-10 Created: 2017-03-10 Last updated: 2018-05-14Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9310-9093

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