Optimal investment timing and capacity choice for pumped hydropower storage

Pumped hydropower storage can smooth output from intermittent renewable electricity generators and facilitate their large-scale use in energy systems. Germany has aggressive plans for wind power expansion, and pumped storage ramps quickly enough to smooth wind power and could profit from arbitrage o...

Full description

Bibliographic Details
Main Authors: Fertig, Emily (Contributor), Doorman, Gerard (Author), Apt, Jay (Author), Heggedal, Ane Marte (Author)
Other Authors: Massachusetts Institute of Technology. Engineering Systems Division (Contributor)
Format: Article
Language:English
Published: Springer Berlin Heidelberg, 2016-06-17T19:07:50Z.
Subjects:
Online Access:Get fulltext
LEADER 02438 am a22003493u 4500
001 103145
042 |a dc 
100 1 0 |a Fertig, Emily  |e author 
100 1 0 |a Massachusetts Institute of Technology. Engineering Systems Division  |e contributor 
100 1 0 |a Fertig, Emily  |e contributor 
700 1 0 |a Doorman, Gerard  |e author 
700 1 0 |a Apt, Jay  |e author 
700 1 0 |a Heggedal, Ane Marte  |e author 
245 0 0 |a Optimal investment timing and capacity choice for pumped hydropower storage 
260 |b Springer Berlin Heidelberg,   |c 2016-06-17T19:07:50Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/103145 
520 |a Pumped hydropower storage can smooth output from intermittent renewable electricity generators and facilitate their large-scale use in energy systems. Germany has aggressive plans for wind power expansion, and pumped storage ramps quickly enough to smooth wind power and could profit from arbitrage on the short-term price fluctuations wind power strengthens. We consider five capacity alternatives for a pumped storage facility in Norway that practices arbitrage in the German spot market. Price forecasts given increased wind capacity are used to calculate profit-maximizing production schedules and annual revenue streams. Real options theory is used to value the investment opportunity, since unlike net present value, it accounts for uncertainty and intertemporal choice. Results show that the optimal investment strategy under the base scenario is to invest in the largest available plant approximately eight years into the option lifetime. 
520 |a FINERGY (Project 178374) 
520 |a Norwegian University of Science and Technology. Center for Sustainable Energy Studies (CenSES) 
520 |a National Science Foundation (U.S.). Graduate Research Fellowship Program 
520 |a Research Council of Norway (Nordic Research Opportunity) 
520 |a National Science Foundation (U.S.) (Nordic Research Opportunity) 
520 |a Alfred P. Sloan Foundation 
520 |a Electric Power Research Institute 
520 |a Carnegie Mellon Electricity Industry Center 
520 |a Doris Duke Charitable Foundation 
520 |a National Energy Technology Laboratory (U.S.) 
520 |a Carnegie Mellon University (Heinz Endowments to RenewElec program) 
520 |a National Science Foundation (U.S.) (Award no. SES-0345798) 
546 |a en 
655 7 |a Article 
773 |t Energy Systems