The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
PV self-consumption optimization with storage and Active DSM for the residential sector
Open accessAbstract
Abstract With the rising prices of the retail electricity and the decreasing cost of the PV technology, grid parity with commercial electricity will soon become a reality in Europe. This fact, together with less attractive PV feed-in-tariffs in the near future and incentives to promote self-consumption suggest, that new operation modes for the PV Distributed Generation should be explored; differently from the traditional approach which is only based on maximizing the exported electricity to the grid. The smart metering is experiencing a growth in Europe and the United States but the possibilities of its use are still uncertain, in our system we propose their use to manage the storage and to allow the user to know their electrical power and energy balances. The ADSM has many benefits studied previously but also it has important challenges, in this paper we can observe and ADSM implementation example where we propose a solution to these challenges. In this paper we study the effects of the Active Demand-Side Management (ADSM) and storage systems in the amount of consumed local electrical energy. It has been developed on a prototype of a self-sufficient solar house called “MagicBox” equipped with grid connection, PV generation, lead–acid batteries, controllable appliances and smart metering. We carried out simulations for long-time experiments (yearly studies) and real measures for short and mid-time experiments (daily and weekly studies). Results show the relationship between the electricity flows and the storage capacity, which is not linear and becomes an important design criterion.
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Citations
Cites
Demand side management: benefits and challenges
Strbac, G. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.09.030 · Cited by 1,702
Cited by
Data driven prediction models of energy use of appliances in a low-energy house
Candanedo, L. M., Feldheim, V., & Deramaix, D. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.01.083 · Cited by 554
Hoppmann, J., Volland, J., Schmidt, T. S., & Hoffmann, V. H. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.07.068 · Cited by 531
Sizing of Residential PV Battery Systems
Weniger, J., Tjaden, T., & Quaschning, V. (2014) · Energy Procedia · doi:10.1016/j.egypro.2014.01.160 · Cited by 419
Zhang, Y., Campana, P. E., Lundblad, A., & Yan, J. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.03.123 · Cited by 265
Salom, J., Marszal, A. J., Widén, J., Candanedo, J., & Lindberg, K. B. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.09.018 · Cited by 260
Metadata
- Authors
- Castillo-Cagigal, M., Caamaño-Martín, E., Matallanas, E., Masa-Bote, D., Gutiérrez, A., Monasterio-Huelin, F., & Jiménez-Leube, J.
- Venue
- Solar Energy
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 85
- Issue
- 9
- Pages
- 2338-2348
- ISSN
- 0038-092X (ISSN-L)
- OpenAlex
- W2062909835
- Cited by
- 308
- References
- 1
- FWCI
- 11.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Castillo-Cagigal, M., Caamaño-Martín, E., Matallanas, E., Masa-Bote, D., Gutiérrez, A., Monasterio-Huelin, F., & Jiménez-Leube, J. (2011). PV self-consumption optimization with storage and Active DSM for the residential sector. Solar Energy. https://doi.org/10.1016/j.solener.2011.06.028
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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