A forecasting model for the evaluation of future resource availability

Mark Mennenga; Sebastian Thiede; Jan Beier; Tina Dettmer; Sami Kara; Christoph Herrmann

doi:10.1007/978-3-642-29069-5_76

A forecasting model for the evaluation of future resource availability

Mark Mennenga, Sebastian Thiede, Jan Beier, Tina Dettmer, Sami Kara, Christoph Herrmann

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

Natural resource availability and scarcity have become a central concern for the mid- and long-term economic development. Much of this relies on non-renewable resources, which are limited in their total availability. The aim of this paper is to develop a quantitative forecasting model which evaluates future resource availability. A focus is set on non-renewable resources in Australia. The presented model is based on existing statistical approaches for predicting future resource availability. From its application possible implications for Australia are revealed. The general results are complemented with a brief case study that assesses the introduction of electric vehicles and its impact on resource availability.

Original language	English
Title of host publication	Leveraging Technology for a Sustainable World
Subtitle of host publication	Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012
Editors	David A. Dornfeld, Barbara S. Linke
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	449-454
Number of pages	6
ISBN (Electronic)	978-3-642-29069-5
ISBN (Print)	978-3-642-29068-8
DOIs	https://doi.org/10.1007/978-3-642-29069-5_76
Publication status	Published - 1 Jan 2012
Externally published	Yes
Event	19th CIRP Conference on Life Cycle Engineering, LCE 2012: Leveraging Technology for a Sustainable World - Berkeley, United States Duration: 23 May 2012 → 25 May 2012

Conference

Conference	19th CIRP Conference on Life Cycle Engineering, LCE 2012
Country/Territory	United States
City	Berkeley
Period	23/05/12 → 25/05/12

Keywords

Electric mobility
Forecasting model
Limited resources
Resource availability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-29069-5_76

Cite this

Mennenga, M., Thiede, S., Beier, J., Dettmer, T., Kara, S., & Herrmann, C. (2012). A forecasting model for the evaluation of future resource availability. In D. A. Dornfeld, & B. S. Linke (Eds.), Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012 (pp. 449-454). Springer. https://doi.org/10.1007/978-3-642-29069-5_76

Mennenga, Mark ; Thiede, Sebastian ; Beier, Jan et al. / A forecasting model for the evaluation of future resource availability. Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012. editor / David A. Dornfeld ; Barbara S. Linke. Berlin, Heidelberg : Springer, 2012. pp. 449-454

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Mennenga, M, Thiede, S, Beier, J, Dettmer, T, Kara, S & Herrmann, C 2012, A forecasting model for the evaluation of future resource availability. in DA Dornfeld & BS Linke (eds), Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012. Springer, Berlin, Heidelberg, pp. 449-454, 19th CIRP Conference on Life Cycle Engineering, LCE 2012, Berkeley, California, United States, 23/05/12. https://doi.org/10.1007/978-3-642-29069-5_76

A forecasting model for the evaluation of future resource availability. / Mennenga, Mark; Thiede, Sebastian; Beier, Jan et al.
Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012. ed. / David A. Dornfeld; Barbara S. Linke. Berlin, Heidelberg: Springer, 2012. p. 449-454.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Natural resource availability and scarcity have become a central concern for the mid- and long-term economic development. Much of this relies on non-renewable resources, which are limited in their total availability. The aim of this paper is to develop a quantitative forecasting model which evaluates future resource availability. A focus is set on non-renewable resources in Australia. The presented model is based on existing statistical approaches for predicting future resource availability. From its application possible implications for Australia are revealed. The general results are complemented with a brief case study that assesses the introduction of electric vehicles and its impact on resource availability.

KW - Electric mobility

KW - Forecasting model

KW - Limited resources

KW - Resource availability

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BT - Leveraging Technology for a Sustainable World

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Mennenga M, Thiede S, Beier J, Dettmer T, Kara S, Herrmann C. A forecasting model for the evaluation of future resource availability. In Dornfeld DA, Linke BS, editors, Leveraging Technology for a Sustainable World: Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012. Berlin, Heidelberg: Springer. 2012. p. 449-454 doi: 10.1007/978-3-642-29069-5_76

A forecasting model for the evaluation of future resource availability

Abstract

Conference

Keywords

UN SDGs

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