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A Multi-Tenant Cloud-Based DC Nano Grid for Self-Sustained Smart Buildings in Smart Cities
Thapar University, Department of Computer Science & Engineering, Patiala, Punjab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
University of Beira Interior.
2017 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 55, no 3, 14-21 p., 7876851Article in journal (Refereed) Published
Abstract [en]

Energy is one of the most valuable resources of the modern era and needs to be consumed in an optimized manner by an intelligent usage of various smart devices, which are major sources of energy consumption nowadays. With the popularity of low-voltage DC appliances such as-LEDs, computers, and laptops, there arises a need to design new solutions for self-sustainable smart energy buildings containing these appliances. These smart buildings constitute the next generation smart cities. Keeping focus on these points, this article proposes a cloud-assisted DC nanogrid for self-sustainable smart buildings in next generation smart cities. As there may be a large number of such smart buildings in different smart cities in the near future, a huge amount of data with respect to demand and generation of electricity is expected to be generated from all such buildings. This data would be of heterogeneous types as it would be generated from different types of appliances in these smart buildings. To handle this situation, we have used a cloud-based infrastructure to make intelligent decisions with respect to the energy usage of various appliances. This results in an uninterrupted DC power supply to all low-voltage DC appliances with minimal dependence on the grid. Hence, the extra burden on the main grid in peak hours is reduced as buildings in smart cities would be self-sustainable with respect to their energy demands

Place, publisher, year, edition, pages
2017. Vol. 55, no 3, 14-21 p., 7876851
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-63191DOI: 10.1109/MCOM.2017.1600228CMISI: 000398037700002Scopus ID: 2-s2.0-85017581455OAI: oai:DiVA.org:ltu-63191DiVA: diva2:1091924
Note

Validerad; 2017; Nivå 2; 2017-04-28 (andbra)

Available from: 2017-04-28 Created: 2017-04-28 Last updated: 2017-08-23Bibliographically approved

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CiteExportLink to record
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