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Pregled bibliografske jedinice broj: 1127523

Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment


Štambuk, Luka; Miloš Sprčić, Danijela; Zoričić, Davor
Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment // Enterprise risk management: Theory and practice with selected case studies of multinational companies / Miloš Sprčić, Danijela ; Zoričić, Davor ; Sabol, Andrija ; Pecina, Ena ; Dvorski Lacković, Ivana (ur.).
Zagreb: Ekonomski fakultet Sveučilišta u Zagrebu, 2020. str. 187-232


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Naslov
Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment

Autori
Štambuk, Luka ; Miloš Sprčić, Danijela ; Zoričić, Davor

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, ostalo

Knjiga
Enterprise risk management: Theory and practice with selected case studies of multinational companies

Urednik/ci
Miloš Sprčić, Danijela ; Zoričić, Davor ; Sabol, Andrija ; Pecina, Ena ; Dvorski Lacković, Ivana

Izdavač
Ekonomski fakultet Sveučilišta u Zagrebu

Grad
Zagreb

Godina
2020

Raspon stranica
187-232

ISBN
978-953-346-147-2

Ključne riječi
capital budgeting, risk assessment, investments in energy sector

Sažetak
Monte Carlo simulation is often used in the energy sector as an effective method for analysing risks of projects or future scenarios. Thus, in the growing desire for green energy, different scenarios of potential energy production have been analysed in this chapter referring to a large virtual power plant project as part of the electric power system consisting of production, transmission and supply of electricity. The concept of virtual power plant represents a group of combined distributed energy sources that are managed jointly by a central control unit and provide one production capacity towards the electric power grid, thus enabling less variability in planned production. The profitability analysis of the virtual power plant project is conducted by using methods of capital budgeting like the net present value, internal rate of return, payback period and discounted payback period. In the context of risk analysis and its significance for project efficiency, a Monte Carlo simulation is used to evaluate the impact of different risk factors and facilitate the creation of an efficient project risk management strategy.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb


Citiraj ovu publikaciju:

Štambuk, Luka; Miloš Sprčić, Danijela; Zoričić, Davor
Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment // Enterprise risk management: Theory and practice with selected case studies of multinational companies / Miloš Sprčić, Danijela ; Zoričić, Davor ; Sabol, Andrija ; Pecina, Ena ; Dvorski Lacković, Ivana (ur.).
Zagreb: Ekonomski fakultet Sveučilišta u Zagrebu, 2020. str. 187-232
Štambuk, L., Miloš Sprčić, D. & Zoričić, D. (2020) Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment. U: Miloš Sprčić, D., Zoričić, D., Sabol, A., Pecina, E. & Dvorski Lacković, I. (ur.) Enterprise risk management: Theory and practice with selected case studies of multinational companies. Zagreb, Ekonomski fakultet Sveučilišta u Zagrebu, str. 187-232.
@inbook{inbook, author = {\v{S}tambuk, Luka and Milo\v{s} Spr\v{c}i\'{c}, Danijela and Zori\v{c}i\'{c}, Davor}, year = {2020}, pages = {187-232}, keywords = {capital budgeting, risk assessment, investments in energy sector}, isbn = {978-953-346-147-2}, title = {Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment}, keyword = {capital budgeting, risk assessment, investments in energy sector}, publisher = {Ekonomski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zagreb} }
@inbook{inbook, author = {\v{S}tambuk, Luka and Milo\v{s} Spr\v{c}i\'{c}, Danijela and Zori\v{c}i\'{c}, Davor}, year = {2020}, pages = {187-232}, keywords = {capital budgeting, risk assessment, investments in energy sector}, isbn = {978-953-346-147-2}, title = {Monte Carlo simulation as a method of project risk analysis – a case of a virtual power plant investment}, keyword = {capital budgeting, risk assessment, investments in energy sector}, publisher = {Ekonomski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Zagreb} }




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