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Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods

Henning Meschede, Heiko Dunkelberg, Fabian Stöhr, Ron-Hendrik Peesel and Jens Hesselbach

Energy, 2017, vol. 128, issue C, 86-100

Abstract: This paper investigates the use of renewable energies to supply hotels in island regions. The aim is to evaluate the effect of weather and occupancy fluctuations on the sensitivity of investment criteria. The sensitivity of the chosen energy system is examined using a Monte Carlo simulation considering stochastic weather data, occupancy rates and energy needs. For this purpose, algorithms based on measured data are developed and applied to a case study on the Canary Islands.

Keywords: Renewable energy systems; Monte Carlo methods; Hotels; Canary Islands (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:eee:energy:v:128:y:2017:i:c:p:86-100