Abstract
As the interest in regulating energy usage and participating in the demand-response market is growing, new energy management algorithms emerge. Energy consumption of elevators represents about 5% of the overall consumption of a building. Thus, improving energy performance of elevators becomes a relevant challenge. In this paper, a method is described to assist potential customers in choosing the most relevant storage units and control method for their multisource elevator. In order to obtain a certification on electricity cost savings and maximum power peaks, a randomized algorithm is designed. The best storage units design is found for a given use case, and a guarantee (with a fixed probability) is given that the elevator’s consumption from the grid will not exceed a given power peak. Moreover, a similar guarantee is given on the minimum savings that could be achieved, choosing a given controller.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Alamo, T., Tempo, R., Luque, A., Ramirez, D.R.: Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms. Automatica 52, 160–172 (2015)
Bilbao, E., Barrade, P.: Optimal energy management of an improved elevator with energy storage capacity based on dynamic programming. In: Energy Conversion Congress and Exposition (ECCE), pp. 3479–3484. IEEE, Raleigh (2012)
Boutin, V., Desdouits, C., Louvel, M., Pacull, F., Vergara-Gallego, M.I., Yaakoubi, O., Chomel, C., Crignon, Q., Duhoux, C., Genon-Catalot, D., Lefevre, L., Pham, T.H., Pham, V.T.: Energy optimisation using analytics and coordination, the example of lifts. In: Emerging Technology and Factory Automation (ETFA), pp. 1–8. IEEE, Barcelona (2014)
Desdouits, C., Alamir, M., Boutin, V., Le Pape, C.: Multi-source elevator energy optimization and control. In: European Control Conference (ECC). EUCA, Linz (2015)
Desdouits, C., Alamir, M., Giroudeau, R., Le Pape, C.: The sourcing problem, energy optimization of a multisource elevator. In: 13th International Conference on INformatics in COntrol, Automation and Robotics (ICINCO 2016), vol. 1, pp. 19–30. Lisbon, Portugal (2016)
Paire, D., Simoes, M.G., Lagorse, J., Miraoui, A.: A real-time sharing reference voltage for hybrid generation power system. In: Industry Applications Society Annual Meeting (IAS), pp. 1–8. IEEE, Houston (2010)
Sachs, H.M.: Opportunities for elevator energy efficiency improvements. Technical report, American Council for an Energy-Efficient Economy, Washington, DC (2005)
The MathWorks Inc.: Matlab 2015b. The MathWorks Inc., Natick (2015)
Tominaga, S., Suga, I., Araki, H., Ikejima, H., Kusuma, M., Kobayashi, K.: Development of energy-saving elevator using regenerated power storage system. In: Proceedings of the Power Conversion Conference (PCC), vol. 2, pp. 890–895. IEEE, Osaka (2002)
Acknowledgment
This work has been conducted as part of the Arrowhead European project and has been partially funded by the Artemis/Ecsel Joint Undertaking, supported by the European Commission and French Public Authorities, under grant agreement number 332987.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Desdouits, C., Alamir, M., Giroudeau, R., Le Pape, C. (2017). Certification Under Uncertainties of Control Methods for Multisource Elevators. In: Madureira, A., Abraham, A., Gamboa, D., Novais, P. (eds) Intelligent Systems Design and Applications. ISDA 2016. Advances in Intelligent Systems and Computing, vol 557. Springer, Cham. https://doi.org/10.1007/978-3-319-53480-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-53480-0_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-53479-4
Online ISBN: 978-3-319-53480-0
eBook Packages: EngineeringEngineering (R0)