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DOI10.1080/14697688.2024.2332384
Optimal operation of a hydropower plant in a stochastic environment
Figuerola-Ferretti, Isabel; Schwartz, Eduardo; Segarra, Ignacio
发表日期2024
ISSN1469-7688
EISSN1469-7696
英文摘要Given the currently changing climate conditions it is of primary importance to optimise the management of hydropower resources. This paper proposes a framework in a dynamic setting to determine the water outflow that maximises the value of a water resource for a given reservoir. The model includes two sources of uncertainty, the water inventory determined mainly by the water inflow and the electricity prices. It is implemented under the stochastic optimal control approach and calibrated using monthly data of reservoir characteristics from ResOpsUs. The results indicate that the inventory dynamics are specially important in valuing reservoir resources. The application of optimal management policies guarantees the long-term sustainability of the reservoir. The possible effects of climate change are considered in a sensitivity analysis to changes in the price and water inventory dynamics.
英文关键词Water management; Climate change; Hydro power; Sustainable reservoir
语种英语
WOS研究方向Business & Economics ; Mathematics ; Mathematical Methods In Social Sciences
WOS类目Business, Finance ; Economics ; Mathematics, Interdisciplinary Applications ; Social Sciences, Mathematical Methods
WOS记录号WOS:001206636300001
来源期刊QUANTITATIVE FINANCE
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/309738
作者单位Comillas Pontifical University; Comillas Pontifical University; Simon Fraser University; Comillas Pontifical University
推荐引用方式
GB/T 7714
Figuerola-Ferretti, Isabel,Schwartz, Eduardo,Segarra, Ignacio. Optimal operation of a hydropower plant in a stochastic environment[J],2024.
APA Figuerola-Ferretti, Isabel,Schwartz, Eduardo,&Segarra, Ignacio.(2024).Optimal operation of a hydropower plant in a stochastic environment.QUANTITATIVE FINANCE.
MLA Figuerola-Ferretti, Isabel,et al."Optimal operation of a hydropower plant in a stochastic environment".QUANTITATIVE FINANCE (2024).
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