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Capacity Investment Decisions in Renewable Energy Technologies

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Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 3))

Abstract

We study an organization’s one-time capacity investment in a renewable technology with supply intermittency and net metering compensation. The renewable technology can be coupled with conventional technologies, such as purchasing electricity from the grid, to form a capacity portfolio that is used to meet stochastic demand for energy. Some factors that complicate this decision include the variability in the energy demand, energy prices, compensation for over-production by the energy producing technology and the intermittency of renewable energy producing technologies. We show how to reduce this problem to a single-period decision problem, and how to estimate the joint distribution of the stochastic factors using historical data. We obtain solutions that are simple to compute, intuitive, and provide managers with a framework for evaluating the trade-offs of investing in renewable and conventional technologies. We illustrate our model using a case study for investing in a solar rooftop system for a bank branch.

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References

  • Hu S, Souza G, Ferguson M, Wang W (2015) Capacity investment in renewable energy technology with supply intermittency: data granularity matters!, manufacturing and service operations management 17(4):480–494

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  • Ovchinnikov A, Hvaleva A (2013) Wells Fargo: solar energy for Los Angeles branches. Darden business publishing case UVA-QA-0800, University of Virginia, Charlottesville, VA

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  • PG&E (2014) Getting credit for surplus energy. http://www.pge.com/en/mybusiness/save/solar/surplus.page. Accessed 23 Sept 2014

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Correspondence to Mark E. Ferguson .

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© 2016 Springer International Publishing Switzerland

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Ferguson, M.E., Hu, S., Souza, G.C., Wang, W. (2016). Capacity Investment Decisions in Renewable Energy Technologies. In: Atasu, A. (eds) Environmentally Responsible Supply Chains. Springer Series in Supply Chain Management, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-319-30094-8_10

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