Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation
By: Stefan Wieke
References
- Ally, J., & Pryor, T. (2016). Life cycle costing of diesel, natural gas, hybrid and hydrogen fuel cell bus systems: an Australian case study. Energy Policy, 94, 285–294.
https://doi.org/10.1016/j.enpol.2016.03.039 - Choudhry, M. (2013). An introduction to value-at-risk. John Wiley & Sons.
- Cierniak, S. (2001). Life cycle-costs von Kolben- und Turbokompressoren. Erdöl, Erdgas, Kohle, 117 (11), 511–517.
- Deutsches Institut für Normung [DIN]. (2012). Betriebswirtschaftliche Berechnungen für Investitionsgüter und Anlagen [Economy calculation systems for capital goods and plants] (VDI 6025:2012-11).
- Elfarra, M. A., & Kaya, M. (2021). Estimation of electricity cost of wind energy using Monte Carlo simulations based on nonparametric and parametric probability density functions. Alexandria Engineering Journal, 60 (4), 3631–3640.
https://doi.org/10.1016/j.aej.2021.02.027 - Gleißner, W., & Wolfrum, M. (2019). Grundlagen des Risikomanagements. In Risikoaggregation und Monte-Carlo-Simulation (pp. 3–13). Springer.
https://doi.org/10.1007/978-3-658-24274-9_2 - Heck, N., Smith, C., & Hittinger, E. (2016). A Monte Carlo approach to integrating uncertainty into the levelized cost of electricity. Electricity Journal, 29 (3), 21–30.
https://doi.org/10.1016/j.tej.2016.04.001 - Heyer, F., & Wieke, S. (1998). Verdichter und Antriebsmaschinen für die Erdgasspeicherung und den Erdgastransport – Auswahl unter technischen und wirtschaftlichen Aspekten [Selection of compressors and drives for storage and transport of natural gas – technical and economical aspects]. Erdoel Erdgas Kohle, 114, 548–551.
- Homann, K., Klocke, B., Hüwener, T., & Wernekinck, U. (2017). Handbuch der Gasversorgungstechnik. DIV Deutscher Industrieverlag.
- Ilg, P., Scope, C., Muench, S., & Guenther, E. (2017). Uncertainty in LCC for long-range infrastructure. Part I: leveling the playing field to address uncertainties. International Journal Life Cycle Assess, 22, 277–292.
https://doi.org/10.1007/s11367-016-1154-1 - International Organization for Standardization [ISO]. (2000). Petroleum and natural gas industries – Life cycle costing. Part 1: Methodology (EN ISO 15663-1).
- International Organization for Standardization [ISO]. (2001a). Petroleum and natural gas industries – Life cycle costing. Part 2: Guidance on application of methodology and calculation methods (EN ISO 15663-2).
- International Organization for Standardization [ISO]. (2001b). Petroleum and natural gas industries – Life cycle costing. Part 3: Implementation guidelines (EN ISO 15663-3).
- Jorion, P. (2002). How informative are value-at-risk disclosures? The Accounting Review, 77 (4), 911–931.
https://doi.org/10.2308/ACCR.2002.77.4.911 - Kawauchi, Y., & Rausand, M. (1999). Life Cycle Cost (LCC) analysis in oil and chemical process industries. Toyo Engineering Corp.
https://www.researchgate.net/publication/228594034_Life_Cycle_Cost_LCC_Analysis_in_Oil_and_Chemical_Process_Industries - Korpi, E., & Ala-Risku, T. (2008). Life cycle costing: A review of published case studies. Managerial Auditing Journal, 23 (3), 240–261.
https://doi.org/10.1108/02686900810857703 - Lee, D. B., Jr (2002). Fundamentals of life-cycle cost analysis. Transportation Research Record, 1812 (1), 203–210.
https://doi.org/10.3141/1812-25 - Nábrádi, A., & Szöllösi, L. (2007). Key aspects of investment analysis. APSTRACT: Applied Studies in Agribusiness and Commerce, 1 (1), 53–56.
https://doi.org/10.22004/ag.econ.43577 - Rahman, S., & Vanier, D. J. (2004). Life cycle cost analysis as a decision support tool for managing municipal infrastructure. CIB 2004 triennial congress, 2 (1), 11–8.
https://www.irb.fraunhofer.de/CIBlibrary/search-quick-result-list.jsp?A&idSuce=CIB+DC9737 - Scope, C., Ilg, P., Muench, S., & Guenther, E. (2016). Uncertainty in life cycle costing for long-range infrastructure. Part II: guidance and suitability of applied methods to address uncertainty. The International Journal of Life Cycle Assessment, 21, 1170–1184.
https://doi.org/10.1007/s11367-016-1086-9 - Shafiee, M., Animah, I., Alkali, B., & Baglee, D. (2019). Decision support methods and applications in the upstream oil and gas sector. Journal of Petroleum Science and Engineering, 173, 1173–1186.
https://doi.org/10.1016/j.petrol.2018.10.050 - Tat, A. N. (2018). Electricity price forecasting using Monte Carlo simulation: the case of Lithuania. Ekonomika, 97 (1), 76–86.
https://doi.org/10.15388/Ekon.2018.1.11780 - Wealer, B., Bauer, S., Hirschhausen, C. V., Kemfert, C., & Göke, L. (2021). Investing into third generation nuclear power plants – Review of recent trends and analysis of future investments using Monte Carlo Simulation. Renewable and Sustainable Energy Reviews, 143, 110836.
https://doi.org/10.1016/j.rser.2021.110836 - XLRisk.
https://github.com/pyscripter/XLRisk [accessed: 14.09.2024].
Language: English
Page range: 3 - 18
Submitted on: May 9, 2024
Accepted on: Sep 16, 2024
Published on: Oct 23, 2024
Published by: Warsaw University of Life Sciences - SGGW Press
In partnership with: Paradigm Publishing Services
Keywords:
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© 2024 Stefan Wieke, published by Warsaw University of Life Sciences - SGGW Press
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.