dc.contributor.author | Vinš, Martin | |
dc.contributor.author | Gangur, Mikuláš | |
dc.date.accessioned | 2025-03-07T13:30:43Z | |
dc.date.available | 2025-03-07T13:30:43Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Advances in electrical and electronic engineering. 2024, vol. 22, no. 4, pp. 345-355 : ill. | cs |
dc.identifier.issn | 1336-1376 | |
dc.identifier.issn | 1804-3119 | |
dc.identifier.uri | http://hdl.handle.net/10084/155789 | |
dc.description.abstract | his paper deals with the design of a suit-
able, transparent, and reasonably accurate methodology
for the economic evaluation of household photovoltaic
(PV) installations in the Czech Republic. The basis of
economic evaluations of household photovoltaic instal-
lations is a time model of energy balance from which
cash flows result. Therefore, a specific methodology of
the energy balance calculation is proposed to increase
accuracy, while at the same time, reasonably increas-
ing the energy balance model complexity by using the
Monte Carlo method (probability model). Following the
detailed analysis of the affecting factors and the compi-
lation of the methodology for the energy balance calcu-
lation, the main stochastic parameters were specified.
These specified stochastic parameters are estimated by
the Monte Carlo method in multiple scenarios. The
presented methodology of the energy balance calculation
is also used for direct calculation where the mean val-
ues of the same specified stochastic parameters (without
assumption of their probability) serve as the reference
values for one scenario. Pros and cons of the designed
methodology are demonstrated in a case study of an
existing household photovoltaic installation. The mean
values of the output parameters from the Monte Carlo
method scenarios are then calculated for subsequent re-
sults comparison of both methods and also with the real
(measured) values of the case study installation. Then
a cash flows for each year of the installation’s lifetime
are stated, and the internal rate of return (IRR) as an
economic evaluation criterion is calculated. The results
show that IRR differs between methods by about 2.5%
which may be crucial in such long-term projects on the
verge of profitability. The accuracy of the application
of the Monte Carlo method to the output parameters
is then discussed in the conclusion where some possible
recommendations for further work and project evalua-
tors are indicated as well. | cs |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Advances in electrical and electronic engineering | cs |
dc.relation.uri | https://doi.org/10.15598/aeee.v22i4.240406 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | economic evaluation | cs |
dc.subject | energy balance | cs |
dc.subject | house-hold | cs |
dc.subject | mean values | cs |
dc.subject | Monte Carlo method | cs |
dc.subject | photovoltaic installation | cs |
dc.subject | prosumers | cs |
dc.subject | simulation | cs |
dc.subject | transparency | cs |
dc.title | Simplified Methodology of Economic Evaluation of Household PV Instalations in Czech Republic Using Monte Ccarlo Method | cs |
dc.type | article | cs |
dc.identifier.doi | 10.15598/aeee.v22i4.240406 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |