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Compensating Balancing Demand by Spatial Load Migration : The Case of Geographically Distributed Data Center

Title data

Thimmel, Markus ; Fridgen, Gilbert ; Keller, Robert ; Rövekamp, Patrick:
Compensating Balancing Demand by Spatial Load Migration : The Case of Geographically Distributed Data Center.
In: Energy Policy. Vol. 132 (2019) . - pp. 1130-1142.
ISSN 0301-4215
DOI: https://doi.org/10.1016/j.enpol.2019.06.063

Official URL: Volltext

Abstract in another language

The increasing share of renewables confronts existing power grids with a massive challenge, stemming from additional volatility to power grids introduced by renewable energy sources. This increases the demand for balancing mechanisms, which provide balancing power to ensure that power supply always meets with demand. However, the ability to provide cost-efficient and eco-friendly balancing power can vary significantly between locations. Fridgen et al. (2017) introduce an approach based on geographically distributed data centers, aiming at the spatial migration of balancing power demand between distant locations. Although their approach enables the migration of balancing demand to cost-efficient and/or eco-friendly balancing mechanisms, it will come up against limits if deployed on a global scale. In this paper, we extend Fridgen et al. (2017)’s approach by developing a model based on geographically distributed data centers, which not only enables the migration of balancing demand but also compensates for this migration when it is contradictory between different balancing power markets without burdening conventional balancing mechanisms. Using a simulation based on real-world data, we demonstrate the possibility to exploit the potential of compensation balancing demand offered by spatial load migration resulting in economic gains that will incentivize data center operators to apply our model.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Distributed data centers; spatial load migration; balancing power compensation; economic potential; simulation-based case study; demand response
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors > Professor Information Systems and Sustainable IT Management - Univ.-Prof. Dr. Gilbert Fridgen
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors
Profile Fields
Profile Fields > Emerging Fields
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 16 Apr 2020 07:45
Last Modified: 09 Aug 2023 13:11
URI: https://eref.uni-bayreuth.de/id/eprint/54945