Management and Activation of Energy Flexibility at Building and Market Level: A Residential Case Study
by
Paolo Taddeo 1
, Alba Colet 2, Rafael E. Carrillo 3, Lluc Casals Canals 2,4,*, Baptiste Schubnel 3, Yves Stauffer 3, Ivan Bellanco 1, Cristina Corchero Garcia 2,4 and Jaume Salom 1
Paolo Taddeo 1, Alba Colet 2, Rafael E. Carrillo 3, Lluc Casals Canals 2,4,*, Baptiste Schubnel 3, Yves Stauffer 3, Ivan Bellanco 1, Cristina Corchero Garcia 2,4 and Jaume Salom 1
1
Thermal Energy and Building Performance Group, Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, Sant Adrià de Besòs (Barcelona) 08930, Spain
2
Energy Systems Analytics Group, Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, Sant Adrià de Besòs (Barcelona) 08930, Spain
3
CSEM PV-center, Rue Jaquet-Droz 1, Neuchâtel 2000, Switzerland
4
Department of Project and Construction Engineering, Universitat Politècnica de Catalunya (UPC), Carrer Jordi Girona 1, Barcelona 08034, Spain
*
Author to whom correspondence should be addressed.
Energies 2020, 13(5), 1188; https://doi.org/10.3390/en13051188
Received: 3 February 2020 / Revised: 25 February 2020 / Accepted: 2 March 2020 / Published: 5 March 2020
(This article belongs to the Special Issue Analysis and Development of Energy Management: Automotive and Stationary Applications)
The electricity sector foresees a significant change in the way energy is generated and distributed in the coming years. With the increasing penetration of renewable energy sources, smart algorithms can determine the difference about how and when energy is produced or consumed by residential districts. However, managing and implementing energy demand response, in particular energy flexibility activations, in real case studies still presents issues to be solved. This study, within the framework of the European project “SABINA H2020”, addresses the development of a multi-level optimization algorithm that has been tested in a semi-virtual real-time configuration. Results from a two-day test show the potential of building’s flexibility and highlight its complexity. Results show how the first level algorithm goal to reduce the energy injected to the grid is accomplished as well as the energy consumption shift from nighttime to daytime hours. As conclusion, the study demonstrates the feasibility of such kind of configurations and puts the basis for real test site implementation.
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Keywords:
building simulation; energy optimization; flexibility; demand response; demand aggregator; energy management system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Taddeo, P.; Colet, A.; Carrillo, R.E.; Casals Canals, L.; Schubnel, B.; Stauffer, Y.; Bellanco, I.; Corchero Garcia, C.; Salom, J. Management and Activation of Energy Flexibility at Building and Market Level: A Residential Case Study. Energies 2020, 13, 1188.
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