Long-term Uncertainty of Hydropower Revenue Due to Climate Change and Electricity Prices

Ludovic Gaudard (), Jeannette Gabbi, Andreas Bauder and Franco Romerio
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Ludovic Gaudard: University of Geneva
Jeannette Gabbi: ETH Zuerich
Andreas Bauder: ETH Zuerich
Franco Romerio: University of Geneva

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 4, No 2, 1325-1343

Abstract: Abstract Hydropower represents the world’s largest renewable energy source. As a flexible technology, it enhances reliability and security of the electricity system. However, climate change and market liberalization may hinder investment due to the evolution of water runoffs and electricity prices. Both alter expected revenue and bring uncertainty. It increases risk and deters investment. Our research assesses how climate change and market fluctuation affect annual revenue. But this paper focuses on the uncertainty, rather than on forecasting. This transdisciplinary topic is investigated by means of a mixed method, i.e. both quantitative and qualitative. The quantitative approach uses established models in natural sciences and economics. The uncertainty is accounted for by applying various scenarios and various datasets coming from different models. Based on those results, uncertainty is discussed through an analysis discerning three dimensions of uncertainty. Uncertainty analysis requires the assessment of a large panel of models and data sets. It is therefore rarely carried out. The originality of the paper also lies on the combination of quantitative established models with a qualitative analysis. The results surprisingly show that the greenhouse gas scenarios may in fact represent a low source of uncertainty, unlike electricity prices. Like forecasting, the main uncertainties are actually case study related and depend on the investigated variables. It is also shown that the nature of uncertainty evolves. Runoff uncertainty goes from variability, i.e. inherent randomness, to epistemic, i.e. limitation of science. The reverse situation occurs with the electricity price. The implications for scientists and policy makers are discussed.

Keywords: Mixed methodology; Electricity market liberalization; Mountain hydrology; three-dimensional uncertainty (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11269-015-1216-3

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