Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems

Georgios Mavromatidis, Kristina Orehounig and Jan Carmeliet

Applied Energy, 2018, vol. 214, issue C, 219-238

Abstract: The effective design of Distributed Energy Systems (DES) is subject to multiple uncertainties related to aspects like the availability of renewable energy, the building energy demands, and the energy carrier prices. Nevertheless, current practices involve the use of deterministic design models, which overlook uncertainty and can lead to suboptimal DES configurations that fail to deliver the desired performance.

Keywords: Distributed energy system; Energy hub optimization; Monte Carlo uncertainty analysis; Global sensitivity analysis; Morris screening; Sobol indices (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (82)

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DOI: 10.1016/j.apenergy.2018.01.062

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