A model for wind farm management with option interactions

Alain Bensoussan, Benoit Chevalier-Roignant () and Alejandro Rivera
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Alain Bensoussan: UT Dallas - University of Texas at Dallas [Richardson], CUHK - City University of Hong Kong [Hong Kong]
Benoit Chevalier-Roignant: EM - EMLyon Business School
Alejandro Rivera: UT Dallas - University of Texas at Dallas [Richardson]

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Abstract: A renewable energy site can expand its power generation capacity by an endogenous amount, but may also want to shut down to save on fixed operating costs and interest payments if the market prospects deteriorate. We model such circumstances and derive managerial implications that help us explain real-world conundrums, illustrating the intricate interactions between the operational decision to build up capacity and the financial decision to exit an industry. Shutting down may be delayed in the hope of expanding capacity upon recovery; expansion may also be delayed in the presence of a valuable exit option. Numerical extensions provide further managerial insights. In particular, the presence of fixed or proportional financing costs may lead the firm to delay its expansion decision, but the scale of investment will only be affected by proportional costs. If herding behavior causes equipment prices to increase (resp., decrease) when electricity prices are high (resp., low), managers should invest earlier (resp., later) and more (resp., less) while equipment prices are low (resp., high). Furthermore, although volume swings (due to capacity decommissionings and expansions) are marked in a homogeneous industry (when the default and expansion thresholds are reached), heterogeneity in the population of wind farms smooths out such effects.

Date: 2022-07-01
New Economics Papers: this item is included in nep-ene and nep-env
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Published in Production and Operations Management, 2022, 31 (7), 2853-2871 p. ⟨10.1111/poms.13721⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04325553

DOI: 10.1111/poms.13721

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