Simplified methodology of economic evaluation of household PV installations in Czech Republic using Monte Carlo method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F24%3A43973327" target="_blank" >RIV/49777513:23220/24:43973327 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/49777513:23510/24:43973327

Výsledek na webu

<a href="https://advances.vsb.cz/index.php/AEEE/article/view/240406/pdf" target="_blank" >https://advances.vsb.cz/index.php/AEEE/article/view/240406/pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15598/aeee.v22i4.240406" target="_blank" >10.15598/aeee.v22i4.240406</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simplified methodology of economic evaluation of household PV installations in Czech Republic using Monte Carlo method

Popis výsledku v původním jazyce

This paper deals with the design of a suitable, 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 installations 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 increasing the energy balance model complexity by using the Monte Carlo method (probability model). Following the detailed analysis of the affecting factors and the compilation of the methodology for the energy balance calculation, 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 values 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 results 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 resultsshow 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 evaluators are indicated as well.

Název v anglickém jazyce

Simplified methodology of economic evaluation of household PV installations in Czech Republic using Monte Carlo method

Popis výsledku anglicky

This paper deals with the design of a suitable, 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 installations 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 increasing the energy balance model complexity by using the Monte Carlo method (probability model). Following the detailed analysis of the affecting factors and the compilation of the methodology for the energy balance calculation, 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 values 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 results 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 resultsshow 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 evaluators are indicated as well.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Advances in Electrical and Electronic Engineering

ISSN

1336-1376

e-ISSN

1804-3119

Svazek periodika

22

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

345-355

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-86000607415