Smart City Gnosys

Smart city article details

Title	Insights With Big Data Analysis For Commercial Buildings Flexibility In The Context Of Smart Cities
ID_Doc	31773
Authors	Oprea S.-V.; Bâra A.; Ceaparu C.; Ducman A.A.; Diaconița V.; Ene G.D.
Year	2021
Published	International Conference on Smart Cities and Green ICT Systems, SMARTGREENS - Proceedings, 2021-April
DOI	http://dx.doi.org/10.5220/0010409801180124
Abstract	The commercial buildings generate a significant volume of data that can be processed to assess the flexibility of the electricity consumption and their potential contribution to flatten the load curve or provide ancillary services. With the constant increase of the volatile output of the Renewable Energy Sources (RES) and numerous Electric Vehicles (EV), the flexibility potential of the commercial buildings has to be investigated to create smarter green cities. However, the volume of consumption data is significantly increasing when various activities are profiled, such as cooling, heating, fans, lights, equipment, etc. In this paper, we propose a big data processing framework or methodology to extract interesting insights from very large datasets and identify the flexibility of the commercial buildings (of several types from the United State of America – U.S.A.) and its market value in correlation with the Demand Response (DR) capabilities at the state and Independent System Operator (ISO) level. This is a theoretical approach combining several aspects, such as: large datasets processing techniques, DR programs, consumption data, flexibility potential estimation, scenarios and DR enabling technologies costs. Applying one of the DR programs, significant results in terms of savings are revealed from simulations. Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
Author Keywords	Analytics; Big Data Processing; Commercial Buildings; Load Flexibility; Market Value

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