Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities

Simona-Vasilica Oprea, Adela Bâra, Cătălin Ceaparu, Anca Ducman, Vlad Diaconița, Gabriela Dobrița Ene

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.

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Paper Citation


in Harvard Style

Oprea S., Bâra A., Ceaparu C., Ducman A., Diaconița V. and Dobrița Ene G. (2021). Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities. In Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-512-8, pages 118-124. DOI: 10.5220/0010409801180124


in Bibtex Style

@conference{smartgreens21,
author={Simona-Vasilica Oprea and Adela Bâra and Cătălin Ceaparu and Anca Ducman and Vlad Diaconița and Gabriela Dobrița Ene},
title={Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities},
booktitle={Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2021},
pages={118-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010409801180124},
isbn={978-989-758-512-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Insights with Big Data Analysis for Commercial Buildings Flexibility in the Context of Smart Cities
SN - 978-989-758-512-8
AU - Oprea S.
AU - Bâra A.
AU - Ceaparu C.
AU - Ducman A.
AU - Diaconița V.
AU - Dobrița Ene G.
PY - 2021
SP - 118
EP - 124
DO - 10.5220/0010409801180124