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

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

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.

Suggested Citation

  • Meschede, Henning & Dunkelberg, Heiko & Stöhr, Fabian & Peesel, Ron-Hendrik & Hesselbach, Jens, 2017. "Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods," Energy, Elsevier, vol. 128(C), pages 86-100.
    • Handle: RePEc:eee:energy:v:128:y:2017:i:c:p:86-100
    DOI: 10.1016/j.energy.2017.03.166
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    Cited by:

    1. Meschede, Henning, 2019. "Increased utilisation of renewable energies through demand response in the water supply sector – A case study," Energy, Elsevier, vol. 175(C), pages 810-817.
    2. Dunia E Santiago, 2021. "Energy use in hotels: a case study in Gran Canaria [Calculation of tourist sector electricity consumption and its cost in subsidised insular electrical systems: the case of the Canary Islands]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(4), pages 1264-1276.
    3. Navratil, J. & Picha, K. & Buchecker, M. & Martinat, S. & Svec, R. & Brezinova, M. & Knotek, J., 2019. "Visitors’ preferences of renewable energy options in “green” hotels," Renewable Energy, Elsevier, vol. 138(C), pages 1065-1077.
    4. Cui, Yuanlong & Zhu, Jie & Zoras, Stamatis & Qiao, Yaning & Zhang, Xin, 2020. "Energy performance and life cycle cost assessments of a photovoltaic/thermal assisted heat pump system," Energy, Elsevier, vol. 206(C).
    5. Guillermo Valencia Ochoa & Jhan Piero Rojas & Juan Campos Avella, 2019. "Energy Optimization of Industrial Steam Boiler using Energy Performance Indicator," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 109-117.
    6. Maria P. Pablo-Romero & Antonio Sánchez-Braza & Javier Sánchez-Rivas, 2017. "Relationships between Hotel and Restaurant Electricity Consumption and Tourism in 11 European Union Countries," Sustainability, MDPI, vol. 9(11), pages 1-14, November.
    7. Florian Schlosser & Ron-Hendrik Peesel & Henning Meschede & Matthias Philipp & Timothy G. Walmsley & Michael R. W. Walmsley & Martin J. Atkins, 2019. "Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation," Energies, MDPI, vol. 12(5), pages 1-17, March.
    8. Zhou, Na & Wu, Qiaosheng & Hu, Xiangping & Xu, Deyi & Wang, Xiaolin, 2020. "Evaluation of Chinese natural gas investment along the Belt and Road Initiative using super slacks-based measurement of efficiency method," Resources Policy, Elsevier, vol. 67(C).
    9. Meschede, Henning, 2020. "Analysis on the demand response potential in hotels with varying probabilistic influencing time-series for the Canary Islands," Renewable Energy, Elsevier, vol. 160(C), pages 1480-1491.

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