TY - JOUR
T1 - A real options approach to investment timing decisions in utility-scale renewable energy in Ghana
AU - Ofori, Charles Gyamfi
AU - Bokpin, Godfred Alufar
AU - Aboagye, Anthony Q.Q.
AU - Afful-Dadzie, Anthony
N1 - Publisher Copyright:
© 2021
PY - 2021/11/15
Y1 - 2021/11/15
N2 - Private capital is required to urgently complement government's efforts to meet initial capital outlay in renewable energy investments. However, minimising the downside risks for a given return in such a venture presents valuation challenges, including the timing of such investments. Investment timing is therefore relevant to consider when making investments in utility-scale renewable energy technologies which require high initial capital. This study assesses the value of investment delay in renewable energy projects using real options analysis. A model that combines binomial trees and Monte Carlo simulations are used to evaluate the optimal investment timing of the first cycle of Ghana's Renewable Energy Master Plan. The model incorporates multiple dimensions of uncertainties related to market, economic and technological factors to determine the value of delaying utility-scale renewable energy investments. The results show value in delaying investments until uncertainties are reduced and maximum benefit is obtained. Also, high system capacities and favourable renewable energy policies that border on attractive feed-in tariffs are required to drive private investment in utility-scale renewable energy.
AB - Private capital is required to urgently complement government's efforts to meet initial capital outlay in renewable energy investments. However, minimising the downside risks for a given return in such a venture presents valuation challenges, including the timing of such investments. Investment timing is therefore relevant to consider when making investments in utility-scale renewable energy technologies which require high initial capital. This study assesses the value of investment delay in renewable energy projects using real options analysis. A model that combines binomial trees and Monte Carlo simulations are used to evaluate the optimal investment timing of the first cycle of Ghana's Renewable Energy Master Plan. The model incorporates multiple dimensions of uncertainties related to market, economic and technological factors to determine the value of delaying utility-scale renewable energy investments. The results show value in delaying investments until uncertainties are reduced and maximum benefit is obtained. Also, high system capacities and favourable renewable energy policies that border on attractive feed-in tariffs are required to drive private investment in utility-scale renewable energy.
KW - Investment timing
KW - Real options analysis
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85109128688&partnerID=8YFLogxK
U2 - 10.1016/j.energy.2021.121366
DO - 10.1016/j.energy.2021.121366
M3 - Article
AN - SCOPUS:85109128688
SN - 0360-5442
VL - 235
JO - Energy
JF - Energy
M1 - 121366
ER -