Skip to main content

Advertisement

Log in

A dynamic approach for life cycle global warming impact assessment of machine tool considering time effect

  • LCA FOR MACHINES
  • Published:
The International Journal of Life Cycle Assessment Aims and scope Submit manuscript

Abstract

Purpose

Machine tools are the equipment used for the cutting and shaping of materials, like metals, which generate greenhouse gas (GHG) emissions across their life cycles due to material use and energy consumption. The life cycle emissions of machine tools are distributed over time and may vary with technology advancement. This paper aims to incorporate these temporal factors into the global warming impact (GWI) assessment of machine tools and further reveal their influences on the results.

Method

Incorporating emission time into the GWI assessment of machine tools is based on the following dynamic life cycle assessment (LCA) framework. First, compute temporally differentiated GHGs of machine tools based on the activity-based modeling. And then, use time-dependent characterization factors (CFs), which are developed based on the radiative forcing concept, to assess their GWI. By using this framework, a dynamic life cycle GWI assessment of machine tool is conducted using two gear hobbing machines. Both the emission time and the potential changes of life cycle emissions due to the improvement of electricity mix and the variation of machine tool use modes are considered.

Results and discussion

The results demonstrated that when the emission time was considered, both machines offered 3% of reduction of GWI, compared with their static results, respectively. Further reductions were found for the two machines, when the electricity improvement and the changes of the machine tool use modes were considered. All the differences between the static and the dynamic environmental impact results become smaller with the extension of the time horizons (THs) that accounted for the evaluation.

Conclusions and recommendations

The conventional static LCA has the potential to overestimate the real GWI of machine tools. It is more important to account for the emission time in GWI assessment at shorter THs or for a longer lifetime of machine tools. This work offers a method to dynamically assess the real GWI of machine tools. The proposed method helps to make robust decision-making for environmentally friendly machine tool selection and support sustainable production.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Abdullah KA, Hassan WAW, Mohamad Amran MF, Marjudi S, Teridi NA, Yusof Z (2012) Implementations of spreadsheet modeling for generalized critical path method. Manag Sci Eng 6(4):120–125

    Google Scholar 

  • Beloin-Saint-Pierre D, Heijungs R, Blanc I (2014) The ESPA (Enhanced Structural Path Analysis) method: a solution to an implementation challenge for dynamic life cycle assessment studies. Int J Life Cycle Assess 19:861–871

    Article  Google Scholar 

  • Beloin-Saint-Pierre D, Levasseur A, Margni M, Blanc I (2016) Implementing a dynamic life cycle assessment methodology with a case study on domestic hot water production. J Ind Ecol 21(5):1128–1138

    Article  Google Scholar 

  • Cao HJ, Li HC, Cheng HQ, Luo Y, Yin RX, Chen YP (2012) A carbon efficiency approach for life-cycle carbon emission characteristics of machine tools. J Clean Prod 37:19–28

    Article  Google Scholar 

  • Cardellini G, Mutel CL, Vial E, Muys B (2018) Temporalis, a generic method and tool for dynamic Life Cycle Assessment. Sci Total Environ 645:585–595

    Article  CAS  Google Scholar 

  • Collinge WO, Landis AE, Jones AK, Schaefer LA, Bilec MM (2013) Dynamic life cycle assessment: framework and application to an institutional building. Int J Life Cycle Assess 18:538–552

    Article  CAS  Google Scholar 

  • Diaz N, Helu M, Jayanathan S, Chen Y, Horvath A, Dornfeld D (2010) Environmental analysis of milling machine tool use in various manufacturing environments. Proceedings of the 2010 IEEE International Symposium on Sustainable Systems and Technology 1–6

  • Fuglestvedt JS, Shine KP, Berntsen T, Cook J, Lee DS, Stenke A, Skeie RB, Velders GJM, Waitz IA (2010) Transport impacts on atmosphere and climate: metrics. Atmos Environ 44:4648–4677

    Article  CAS  Google Scholar 

  • Ibbotson SM, Kara S (2018) A framework for determining the life time energy consumption of a product at the concept design stage. Procedia Cirp 69:704–709

    Article  Google Scholar 

  • IPCC (2007) Climate change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the IPCC. Cambridge University Press, Cambridge, UK

  • Kendall A (2012) Time-adjusted global warming potentials for LCA and carbon footprints. Int J Life Cycle Assess 17:1042–1049

    Article  CAS  Google Scholar 

  • Kendall A, Chang B, Sharpe B (2009) Accounting for time-dependent effects in biofuel life cycle greenhouse gas emissions calculations. Environ Sci Technol 43(18):7142–7147

    Article  CAS  Google Scholar 

  • Kendall A, Price L (2012) Incorporating time-corrected life cycle greenhouse gas emissions in vehicle regulations. Environ Sci Technol 46(5):2557–2563

    Article  CAS  Google Scholar 

  • Krautzer F, Pamminger R, Diver C, Wimmer W (2015) Assessing the environmental performance of machine tools—case studies applying the ‘LCA to go’ webtool ☆. Procedia Cirp 29:502–507

    Article  Google Scholar 

  • Levasseur A, Lesage P, Margni M, Deschênes L, Samson R (2010) Considering time in LCA: dynamic LCA and its application to global warming impact assessments. Environ Sci Technol 44(8):3169–3174

    Article  CAS  Google Scholar 

  • The National Bureau of Standards (NBS) (2017) China Energy Statistical Yearbook 2017. China Statistics Press, Beijing, China

    Google Scholar 

  • The National Bureau of Standards (NBS) (2019) China Statistical Yearbook 2019. China Statistics Press, Beijing, China

    Google Scholar 

  • Russell-Smith S, Lepech M (2012) Activity-based methodology for life cycle assessment of building construction. CIBSE ASHRAE Tech Symp, April 2012, London, UK

  • Shimako A, Tiruta-Barna L, Faria BBD, A, Ahmadi A, Spérandio M, (2018) Sensitivity analysis of temporal parameters in a dynamic LCA framework. Sci Total Environ 624:1250–1262

    Article  CAS  Google Scholar 

  • Tiruta-Barna L, Pigné Y, Navarrete Gutiérrez T, Benetto E (2016) Framework and computational tool for the consideration of time dependency in Life Cycle Inventory: proof of concept. J Clean Prod 116:198–206

    Article  Google Scholar 

  • Yu B, Sun Y, Tian X (2018) Capturing time effect of pavement carbon footprint estimation in the life cycle. J Clean Prod 171:877–883

    Article  Google Scholar 

  • Yuan CY, Simon R, Mady N, Dornfeld D (2009) Embedded temporal difference in life cycle assessment: case study on VW Golf A4 car. Prcd of the IEEE Intl Symp on Sus Sys & Tech, May 18–20, Phoenix, AZ

  • Yuan C, Wang E, Zhai Q, Yang F (2015) Temporal discounting in life cycle assessment: a critical review and theoretical framework. Environ Impct Assess Rev 51:23–31

    Article  Google Scholar 

  • Züst S, Züst R, Schudeleit T, Wegener K (2016) Development and application of an eco-design tool for machine tools ☆. Procedia Cirp 48:431–436

    Article  Google Scholar 

  • Zeng D, Cao H, Jafar S, Tan Y, Su S (2018) A life cycle ecological sensitivity analysis method for eco-design decision making of machine tool. Procedia Cirp 69:698–703

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (grant number 51975076) and the Pilot Program for the Integration of Science, Education and Industry of Qilu University of Technology (Shandong Academy of Sciences) (grant number 2020KJC-ZD05).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huajun Cao.

Additional information

Communicated by Zbigniew Stanislaw Klos.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zeng, D., Cao, H., Ma, C. et al. A dynamic approach for life cycle global warming impact assessment of machine tool considering time effect. Int J Life Cycle Assess 26, 1391–1402 (2021). https://doi.org/10.1007/s11367-021-01933-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11367-021-01933-x

Keywords

Navigation