Abstract
The Environmental Life Cycle Costing (ELCC) is a novel technique used to calculate all the costs associated with the existence of a product or a service, including the external environmental costs which are not included in a traditional Life Cycle Costing (LCC). The aim of the chapter was to develop a conceptual framework of the Intelligent System for ELCC calculations based on the analysis of the methodology of ELCC calculation in selected papers from recent years. The conducted analysis showed that there are many differences in ELCC calculating methodology and that there is a need to unify it with the use of an integrated information system in order to create the possibility to compare the ELCCs of different products or services.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Miah, J. H., Koh, S. C. L., & Stone, D. (2017). A hybridised framework combining integrated methods for environmental life cycle assessment and life cycle costing internal rate of return. Journal of Cleaner Production, 168, 846–866. https://doi.org/10.1016/j.jclepro.2017.08.187.
Corona, B., Cerrajero, E., López, D., & Miguel, G. S. (2016). Full environmental life cycle cost analysis of concentrating solar power technology: Contribution of externalities to overall energy costs. Solar Energy, 135, 758–768. https://doi.org/10.1016/j.solener.2016.06.059.
Naves, A. X., Barreneche, C., Fernández, A. I., et al. (2018). Life cycle costing as a bottom line for the life cycle sustainability assessment in the solar energy sector: A review. Solar Energy. https://doi.org/10.1016/j.solener.2018.04.011.
Martinez-Sanchez, V., Kromann, M. A., & Astrup, T. F. (2015). Life cycle costing of waste management systems: Overview, calculation principles and case studies. Waste Management, 36, 343–355. https://doi.org/10.1016/j.wasman.2014.10.033.
Eriksson, O., Bisaillon, M., Haraldsson, M., & Sundberg, J. (2016). Enhancement of biogas production from food waste and sewage sludge—environmental and economic life cycle performance. Journal of Environmental Management, 175, 33–39. https://doi.org/10.1016/J.JENVMAN.2016.03.022.
Pretel, R., Robles, A., Ruano, M. V., et al. (2016). Economic and environmental sustainability of submerged anaerobic MBR-based (AnMBR-based) technology as compared to aerobic-based technologies for moderate-/high-loaded urban wastewater treatment. Journal of Environmental Management, 166, 45–54. https://doi.org/10.1016/j.jenvman.2015.10.004.
Ghisellini, P., Ripa, M., & Ulgiati, S. (2018). Exploring environmental and economic costs and bene fits of a circular economy approach to the construction and demolition sector. A Literature Review. Journal of Cleaner Production, 178, 618–643. https://doi.org/10.1016/j.jclepro.2017.11.207.
Delogu, M., Zanchi, L., Maltese, S., et al. (2016). Environmental and economic life cycle assessment of a lightweight solution for an automotive component: A comparison between talc-filled and hollow glass microspheres-reinforced polymer composites. Journal of Cleaner Production, 139, 548–560. https://doi.org/10.1016/j.jclepro.2016.08.079.
Manuel, J., Mendoza, F., Aponte, F. D., et al. (2019). Disposable baby diapers: Life cycle costs, eco-efficiency and circular economy. Journal of Cleaner Production, 211, 455–467. https://doi.org/10.1016/j.jclepro.2018.11.146.
Dobon, A., Cordero, P., Kreft, F., et al. (2011). The sustainability of communicative packaging concepts in the food supply chain. A case study: Part 2. Life cycle costing and sustainability assessment. International Journal of Life Cycle Assessment, 16, 537–547. https://doi.org/10.1007/s11367-011-0291-9.
Śnierzyński, M., Hernes, M., Bytniewski, A., et al. (2019). Data sources for environmental life cycle costing in network organizations. Press.
Biernacki, M. (2017) ELCC versus ecomarketing in companies’ activities. Res Pap Wroclaw Univ Econ, 480, 9–18. https://doi.org/10.15611/pn.2017.480.01.
Martinez-Sanchez, V., Tonini, D., Møller, F., & Astrup, T. F. (2016). Life-cycle costing of food waste management in Denmark: Importance of indirect effects. Environmental Science and Technology, 50, 4513–4523. https://doi.org/10.1021/acs.est.5b03536.
Mah, C. M., Fujiwara, T., & Ho, C. S. (2018). Life cycle assessment and life cycle costing toward eco-efficiency concrete waste management in Malaysia. Journal of Cleaner Production, 172, 3415–3427. https://doi.org/10.1016/j.jclepro.2017.11.200.
Faraca, G., Martinez-sanchez, V., & Astrup, T. F. (2019). Resources, conservation & recycling environmental life cycle cost assessment: Recycling of hard plastic waste collected at Danish recycling centres. Resources, Conservation and Recycling, 143, 299–309. https://doi.org/10.1016/j.resconrec.2019.01.014.
Daylan, B., & Ciliz, N. (2016). Life cycle assessment and environmental life cycle costing analysis of lignocellulosic bioethanol as an alternative transportation fuel. Renewable Energy, 89, 578–587. https://doi.org/10.1016/j.renene.2015.11.059.
Chiesa, M., Monteleone, B., Venuta, M. L., et al. (2016). Integrated study through LCA, ELCC analysis and air quality modelling related to the adoption of high efficiency small scale pellet boilers. Biomass and Bioenergy, 90, 262–272. https://doi.org/10.1016/j.biombioe.2016.04.019.
Rivera, X. C. S., & Azapagic, A. (2016). Life cycle costs and environmental impacts of production and consumption of ready and home-made meals. Journal of Cleaner Production, 112, 214–228. https://doi.org/10.1016/j.jclepro.2015.07.111.
Biernacki, M. (2018). Środowiskowy rachunek kosztów cyklu życia produktu. Wrocław (In Polish): Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu.
Ericsson, N. R. (2017). Economic forecasting in theory and practice: An interview with David F Hendry. International Journal of Forecasting, 33(2), 523–542.
Greene, W. H. (2003). Econometric analysis. Upper Saddle River, NJ: Prentice Hall.
Holt, C. C. (2004). Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting, 20(1), 5–10.
Emblemsvåg, J. (2003). Life-cycle costing: Using activity-based costing and Monte Carlo methods to manage future costs and risks. Hoboken, NJ: Wiley.
Glorot, X., Bengio, Y. (2010). Understanding the difficulty of training deep feed forward neural networks. In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (Vol. 9, pp. 249–256).
Lu, H., Li, B., Zhu, J., Li, Y., Xu, X., He, L., Li, X., Li, J., & Serikawa, S. (2017). Wound intensity correction and segmentation with convolutional neural networks. Concurrency and Computation: Practice and Experience 29.
Hall, P. (2017). How is deep learning different from multilayer perceptron? https://www.quora.com/How-is-deep-learning-different-from-multilayer-perceptron. Accessed 01 May 2017.
Hecht-Nielsen, R. (2007). Confabulation theory: The mechanism of thought. New York: Springer.
Duch, W., Oentaryo, R. J., Pasquier, M. (2008). Cognitive architectures: Where do we go from here? In P. Wang, P. Goertzel & S. Franklin (Eds.), Frontiers in artificial intelligence and applications (Vol. 171, pp. 122–136). Amsterdam, the Netherlands: IOS Press.
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984). Classification and regression trees. Monterey, CA: Wadsworth & Brooks/Cole Advanced Books & Software.
Vaishnavi, V., Kuechler, W., & Petter S. (Eds.) (2007). Design science research in information systems. Last updated December 20, 2017.
Acknowledgements
The project is financed by the Ministry of Science and Higher Education in Poland under the programme “Regional Initiative of Excellence” 2019–2022 project number 015/RID/2018/19 total funding amount 10,721,040.00 PLN.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Walaszczyk, E. et al. (2020). A Conceptual Framework of Intelligent System for Environmental Life Cycle Costing. In: Hernes, M., Rot, A., Jelonek, D. (eds) Towards Industry 4.0 — Current Challenges in Information Systems. Studies in Computational Intelligence, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-030-40417-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-40417-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40416-1
Online ISBN: 978-3-030-40417-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)