Martina Zaujecovรก – Slovak University of Agriculture in Nitra, Faculty of Economics and Management, Department of Statistics
and Operations Research, Trieda Andreja Hlinku 2, 949 01 Nitra, Slovakia
Jozeh Repiskรฝ – Slovak University of Agriculture in Nitra, Faculty of Economics and Management, Department of Statistics
and Operations Research, Trieda Andreja Hlinku 2, 949 01 Nitra, Slovakia
Katarรญna Barรกthovรก – Slovak University of Agriculture in Nitra, Faculty of Economics and Management, Department of Statistics
and Operations Research, Trieda Andreja Hlinku 2, 949 01 Nitra, Slovakia
DOI: https://doi.org/10.31410/EMAN.S.P.2020.67
4th International Scientific Conference – EMAN 2020 – Economics and Management: How to Cope With Disrupted Times, Online/Virtual, September 3, 2020, SELECTED PAPERS published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-31-8, ISSN 2683-4510
Abstract:
This article is focused on technical-economic evaluation of the efficiency of corn silage in
comparison with manure in case of combined production of electricity and heat. Mentioned energetical
sources are used for production of biogas by fermentation in biogas plants, which include equipment
for cogeneration. We analysed resourcesี efficiency of installations with installed capacity of 1MW. We
found the the use of manure with deterministically defined value, NPV 2 508 303 EUR and IRR 26.35%
is more effective. NPV for corn silage was 1 690 562 EUR and IRR 21.37%. Price of electricity, use of
electricity and initial investment in both projects have the greatest impact on the change of criterion.
Taking into account the risk from Monte Carlo simulation, we found, that with any risk aversion, the
NPV of the monitored projects will never be negative. Functions of density and distribution confirmed
the ranking of energy resourcesี efficiency obtained using NPV and IRR criteria. It can be stated that
both investment plans are very perspective.
Keywords:
Efficiency, Biomass, Cogeneration.
REFERENCES
Dallimer, M. et al. (2018). Who uses sustainable land management practices and what are the
costs and benefits? Insights from Kenya. Land Degradation & Development, 29 (9), 2822-
- https://doi.org/10.1002/ldr.3001
Emiliano, J . (2017). Techno-economic Assessment of Biomass Gasification of Spartina argentinensis.
Agrociencia-Uruguay, 21(1 ), 78-88 http://apps.webofknowledge.com/full_record.
do?product=WOS&search_mode=GeneralSearch&qid=21&SID=F1xjRl5k3G9ekaq4AEe&
page=1&doc=1
Frank, J. R. (2018). A stochastic technoโeconomic analysis of shrub willow production using
EcoWillow 3.0S. Biofuels, Bioproducts and Biorefining, 12(5), 846-856. https://doi.
org/10.1002/bbb.1897
Haigh, K.F. (2018). Simulation and comparison of processes for biobutanol production from
lignocellulose via ABE fermentation. Biofuels, Bioproducts and Biorefining, 12(6), 1023- - https://doi.org /10.1002/bbb.1917
Hanafizadeh, P. & Seifi, A. (2004). A unified model for robust optimization of linear programs
with uncertain parameters. International Transactions in Operational Research, 16, 20- - https://www.researchgate.net/publication/236155153_A_Unified_Model_for_Robust_
Optimization_of_Linear_Programs_with_Uncertain_Parameters
Hartman, J. C. & Schafrick, I. C. (2010). The Relevant Internal Rate of Return. The Engineering
Economist , 49(2), 139-158. https://doi.org/10.1080/00137910490453419
Hazen, G. B. (2003). A new perspective on multiple internal rates of return. The Engineering
Economist, 48(1), 31-51. doi: 10.1080/00137910308965050
Chiesa, V. & Frattini, F. (2009). Evaluation and performance measurement of research and
development: Techniques and perspectives for multi-level analysis. Cheltenham: Edward
Elgar ISBN 978-18-472-0948-1
Ingle, P. A., Chandel, A. K. & Da Silva, S. S. (2020). Technoeconomic Analysis of Biorefinery
Processes for Biofuel and Other Important Products. Lignocellulosic Biorefining Technologies
https://doi.org/10.1002/9781119568858.ch15
Koller, T., Goedhart, M. & Wessels, D. (2010). Valuation: Measuring and Managing the Value
of Companies. USA: McCinsey and Company, ISBN 978-0-470-89455-2.
Krol, J. & OCLON, P. (2018). Economic analysis of heat and electricity production in combined
heat and power plant equipped with steam and water boilers and natural gas engines.
Energy conversion and management, 176, 11-29. http://apps.webofknowledge.com/full_
record.do?product=WOS&search_mode=GeneralSearch&qid=6&SID=F1xjRl5k3G9ekaq4AEe&
page=1&doc=1
Merna. T. & Al-Thani. F. F. 2007. Risk management. Brno: Computer Press, a. s., ISBN 978-80-
251-1547-3
Roลกtรกrovรก, M. 2016. Podnikateฤพskรฉ modely a podnikateฤพskรฉ stratรฉgiestartupov II. Bratislava:
EKONรM, ISBN 978-80-225-4328-6
Saltelli, A. (2007). Introduction to Sensitivity Analysis. In: Global Sensitivity Analysis. The Primer
(pp. 292) England: John Wiley & Sons, Ltd. https://doi.org/10.1002/9780470725184.ch1
