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2018 | OriginalPaper | Buchkapitel

Smart City: A GECAD-BISITE Energy Management Case Study

verfasst von : Bruno Canizes, Tiago Pinto, João Soares, Zita Vale, Pablo Chamoso, Daniel Santos

Erschienen in: Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017

Verlag: Springer International Publishing

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Abstract

This paper presents the demonstration of an energy resources management approach using a physical smart city model environment. Several factors from the industry, governments and society are creating the demand for smart cities. In this scope, smart grids focus on the intelligent management of energy resources in a way that the use of energy from renewable sources can be maximized, and that the final consumers can feel the positive effects of less expensive (and pollutant) energy sources, namely in their energy bills. A large amount of work is being developed in the energy resources management domain, but an effective and realistic experimentation are still missing. This work thus presents an innovative means to enable a realistic, physical, experimentation of the impacts of novel energy resource management models, without affecting consumers. This is done by using a physical smart city model, which includes several consumers, generation units, and electric vehicles.

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Literatur
3.
Zurück zum Zitat Lund, H.: Renewable Energy Systems, Renewable Energy Systems – A Smart Energy Systems Approach to the Choice and Modeling of 100% Renewable Solutions, 2nd edn. Academic Press, Burlington (2014) Lund, H.: Renewable Energy Systems, Renewable Energy Systems – A Smart Energy Systems Approach to the Choice and Modeling of 100% Renewable Solutions, 2nd edn. Academic Press, Burlington (2014)
7.
Zurück zum Zitat Sousa, T., et al.: A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles. Energy 67, 81–96 (2014)CrossRef Sousa, T., et al.: A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles. Energy 67, 81–96 (2014)CrossRef
8.
Zurück zum Zitat Soares, J., et al.: Multi-dimensional signaling method for population-based metaheuristics: solving the large-scale scheduling problem in smart grids. Swarm Evol. Comput. 29, 13–32 (2016)CrossRef Soares, J., et al.: Multi-dimensional signaling method for population-based metaheuristics: solving the large-scale scheduling problem in smart grids. Swarm Evol. Comput. 29, 13–32 (2016)CrossRef
9.
Zurück zum Zitat Iqbal, M., et al.: Optimization classification, algorithms and tools for renewable energy: a review. Renew. Sustain. Energy Rev. 39, 640–654 (2014)CrossRef Iqbal, M., et al.: Optimization classification, algorithms and tools for renewable energy: a review. Renew. Sustain. Energy Rev. 39, 640–654 (2014)CrossRef
10.
Zurück zum Zitat Conejo, A.J., Carrión, M., Morales, J.M.: Decision Making Under Uncertainty in Electricity Markets. Springer, New York (2010)CrossRefMATH Conejo, A.J., Carrión, M., Morales, J.M.: Decision Making Under Uncertainty in Electricity Markets. Springer, New York (2010)CrossRefMATH
13.
Zurück zum Zitat Soares, J., et al.: Electric vehicle scenario simulator tool for smart grid operators. Energies 5(6), 1881–1899 (2012)CrossRef Soares, J., et al.: Electric vehicle scenario simulator tool for smart grid operators. Energies 5(6), 1881–1899 (2012)CrossRef
Metadaten
Titel
Smart City: A GECAD-BISITE Energy Management Case Study
verfasst von
Bruno Canizes
Tiago Pinto
João Soares
Zita Vale
Pablo Chamoso
Daniel Santos
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-61578-3_9