Using X-Road to Implement Open Data in Electrical Systems and Promote the Integration with Smart City and Open Governance Strategies
Abstract
The electrical industry is undergoing a deep digital transformation towards the consolidation of smart grids, which requires a high demand of data and information systems involved in the processes. Open data initiatives, which have been focused on open governance to a great extent, generate positive impacts on society and the economy in terms of easy access to public resources, agility, and transparency. These initiatives can also be adopted in the electrical industry (i.e., power, electrical, and energy systems) for customer engagement, collaboration with other industries, and reaching consensus. This study proposes the implementation of an open data solution for the electrical industry through the deployment of a data hub that offers digital services for smart city applications and the integration of the X-Road system to improve the security and interoperability of open data. This initiative aims to promote a wider adoption of open data in the electrical industry and prepare the latter for fully connected and collaborative digital ecosystems in smart cities, industries, and governments. This study also proposes an open data architecture for the interoperability of the electrical industry with other digital industries (through a Smart City Hub and the adoption of 5G technology), and it reports some relevant results and major findings in this regard. This paper highlights the benefits of promoting open data and technological strategies for digitized electrical systems while considering humans an essential factor. Finally, it discusses the pros and cons of the integration of X-Road with the electrical industry under the concept of smart grids for data exchange and potential applications.
References
F. T. Neves; M. de Castro Neto; M. Aparicio, “The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring,” Cities, vol. 106, p. 102860, 2020. https://doi.org/10.1016/j.cities.2020.102860
Fundación Real Instituto Elcano, “Las embajadas de datos: la protección de la información estatal,” 2014. http://www.realinstitutoelcano.org/wps/portal/rielcano_es/contenido?WCM_GLOBAL_CONTEXT=/elcano/elcano_es/zonas_es/ciberseguridad/ari36-2014-thiber-embajadas-de-datos-proteccion-informacion-estatal
OECD iLibrary, “Case Study: The Estonian Education Information System (EHIS),” Strength. Gov. Ski. Syst. Lessons from Six OECD Ctries, pp. 39–60, Apr. 2020. https://doi.org/10.1787/298d6678-en
C. Bonina; B. Eaton, “Cultivating open government data platform ecosystems through governance: Lessons from Buenos Aires, Mexico City and Montevideo,” Gov. Inf. Q., vol. 37, no. 3, p. 101479, Jul. 2020. https://doi.org/10.1016/j.giq.2020.101479
Y. Lu, “Industry 4.0: A survey on technologies, applications and open research issues,” J. Ind. Inf. Integr., vol. 6, pp. 1–10, Jun. 2017. https://doi.org/10.1016/j.jii.2017.04.005
S. Pfenninger; J. De Carolis; L. Hirth; S. Quoilin; I. Staffell, “The importance of open data and software: Is energy research lagging behind?” Energy Policy, vol. 101, pp. 211–215, Feb. 2017. https://doi.org/10.1016/j.enpol.2016.11.046
A. Ambrose, “Walking with Energy: Challenging energy invisibility and connecting citizens with energy futures through participatory research,” Futures, vol. 117, p. 102528, Mar. 2020. https://doi.org/10.1016/j.futures.2020.102528
D. B. Rawat; R. Doku; M. Garuba, “Cybersecurity in Big Data Era: From Securing Big Data to Data-Driven Security,” IEEE Trans. Serv. Comput., pp. 1–1, Mar. 2019. doi: https://doi.org/10.1109/tsc.2019.2907247
C. Xu et al., “Making Big Data Open in Edges: A Resource-Efficient Blockchain-Based Approach,” IEEE Trans. Parallel Distrib. Syst., vol. 30, no. 4, pp. 870–882, Apr. 2019. https://doi.org/10.1109/TPDS.2018.2871449
M. A. Ferrag; M. Babaghayou; M. A. Yazici, “Cyber security for fog-based smart grid SCADA systems: Solutions and challenges,” J. Inf. Secur. Appl., vol. 52, p. 102500, Jun. 2020. https://doi.org/10.1016/j.jisa.2020.102500
S. Aydin; M. N. Aydin, “Ontology-based data acquisition model development for agricultural open data platforms and implementation of OWL2MVC tool,” Comput. Electron. Agric., vol. 175, p. 105589, Aug. 2020. https://doi.org/10.1016/j.compag.2020.105589
M. A. Hossain; Y. K. Dwivedi; N. P. Rana, “State-of-the-art in open data research: Insights from existing literature and a research agenda,” J. Organ. Comput. Electron. Commer., vol. 26, no. 1–2, pp. 14–40, Mar. 2016. https://doi.org/10.1080/10919392.2015.1124007
G. V. Pereira; M. A. Macadar; E. M. Luciano; M. G. Testa, “Delivering public value through open government data initiatives in a Smart City context,” Inf. Syst. Front., vol. 19, no. 2, pp. 213–229, Jul. 2016. https://doi.org/10.1007/s10796-016-9673-7
G. Viscusi; M. Castelli; C. Batini, “Assessing Social Value in Open Data Initiatives: A Framework,” Futur. Internet, vol. 6, no. 3, pp. 498–517, Aug. 2014. https://doi.org/10.3390/fi6030498
J. Attard; F. Orlandi; S. Scerri; S. Auer, “A systematic review of open government data initiatives,” Gov. Inf. Q., vol. 32, no. 4, pp. 399–418, Oct. 2015. https://doi.org/10.1016/j.giq.2015.07.006
G. Bedi; G. K. Venayagamoorthy; R. Singh; R. R. Brooks; K. C. Wang, “Review of Internet of Things (IoT) in Electric Power and Energy Systems,” IEEE Internet Things J., vol. 5, no. 2, pp. 847–870, Feb. 2018. https://doi.org/10.1109/JIOT.2018.2802704
B. A. Potosí-Guerrero; C. A. Ramos-Paja; S. I. Serna-Garcés, “Impact of government incentives in the profitability of green energy production using fuel cells in Colombia,” TecnoLógicas, vol. 19, no. 37, pp. 93–106, Jul. 2016. https://doi.org/10.22430/22565337.84
S. Knudsen et al., “Democratizing open energy data for public discourse using visualization,” Conf. Hum. Factors Comput. Syst. - Proc., vol. 2018, no. D406, pp. 1-4, Apr. 2018. https://doi.org/10.1145/3170427.3186539
A. Francisco; J. E. Taylor, “Understanding citizen perspectives on open urban energy data through the development and testing of a community energy feedback system,” Appl. Energy, vol. 256, p. 113804, Dec. 2019. https://doi.org/10.1016/j.apenergy.2019.113804
C. Miller, “More Buildings Make More Generalizable Models—Benchmarking Prediction Methods on Open Electrical Meter Data,” Mach. Learn. Knowl. Extr., vol. 1, no. 3, pp. 974–993, Aug. 2019. https://doi.org/10.3390/make1030056
B. Anthony Jnr, “Smart city data architecture for energy prosumption in municipalities: concepts, requirements, and future directions,” Int. J. Green Energy, vol. 17, no. 13, pp. 827–845, Aug. 2020. https://doi.org/10.1080/15435075.2020.1791878
F. Terroso-Saenz; A. González-Vidal; A. P. Ramallo-González; A. F. Skarmeta, “An open IoT platform for the management and analysis of energy data,” Futur. Gener. Comput. Syst., vol. 92, pp. 1066–1079, Mar. 2019. https://doi.org/10.1016/j.future.2017.08.046
A. Salazar-Zuluaga; L. A. Aguilar-Londoño; G. D. Zapata-Madrigal; R. García-Sierra, “Implementación de Nodos Lógicos DER IEC 61850-7-420 en una placa electrónica,” TecnoLógicas, vol. 20, no. 40, pp. 13–28, Sep. 2017. https://doi.org/10.22430/22565337.701
N. Andreadou; M. O. Guardiola; G. Fulli, “Telecommunication technologies for smart grid projects with focus on smart metering applications,” Energies, vol. 9, no. 5, May. 2016. https://doi.org/10.3390/en9050375
L. Tightiz; H. Yang, “A comprehensive review on IoT protocols’ features in smart grid communication,” Energies, vol. 13, no. 11, Jun. 2020. https://doi.org/10.3390/en13112762
A. Karpenko et al., “Data exchange interoperability in iot ecosystem for smart parking and EV charging,” Sensors, vol. 18, no. 12, Dec. 2018. https://doi.org/10.3390/s18124404
O. Heddebaut; F. Di Ciommo, “City-hubs for smarter cities. The case of Lille ‘EuraFlandres’ interchange,” Eur. Transp. Res. Rev., vol. 10, pp. 1–14, Dec. 2018. https://doi.org/10.1007/s12544-017-0283-3
R. Lea; M. Blackstock, “City hub: A cloud-based IoT platform for smart cities,” 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, Singapore, 2015, pp. 799–804. https://doi.org/10.1109/CloudCom.2014.65
M. Bajer, “Building an IoT data hub with elasticsearch, Logstash and Kibana,” Proc. - 2017 5th Int. Conf. Futur. Internet Things Cloud Work, Prague, 2017, pp. 63–68. https://doi.org/10.1109/FiCloudW.2017.101
A. Gyrard; C. Bonnet; K. Boudaoud, “Enrich machine-to-machine data with semantic web technologies for cross-domain applications,” 2014 IEEE World Forum Internet Things, WF-IoT, Seoul, 2014, pp. 559–564. https://doi.org/10.1109/WF-IoT.2014.6803229
R. Saputro; I. Pappel; H. Vainsalu; S. Lips; D. Draheim, “Prerequisites for the Adoption of the X - Road Interoperability and Data Exchange Framework: A Comparative Study,” 2020 7th Int. Conf. eDemocracy eGovernment, ICEDEG, Buenos Aires, 2020, pp. 216–222. https://doi.org/10.1109/ICEDEG48599.2020.9096704
Nokia, “Nokia and Telia Finland fire up new innovation hub offering blistering 5G speeds to spark creativity,” Dec. 05, 2019. https://www.nokia.com/about-us/news/releases/2019/12/05/nokia-and-telia-finland-fire-up-new-innovation-hub-offering-blistering-5g-speeds-to-spark-creativity/
S. Li; L. Da Xu; S. Zhao, “5G Internet of Things: A survey,” J. Ind. Inf. Integr., vol. 10, pp. 1–9, Jun. 2018. https://doi.org/10.1016/J.JII.2018.01.005
D. Minoli; B. Occhiogrosso, “Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments,” Wirel. Commun. Mob. Comput., vol. 2019, Aug. 2019. https://doi.org/10.1155/2019/5710834
F. Al-Turjman, “5G-enabled devices and smart-spaces in social-IoT: An overview,” Futur. Gener. Comput. Syst., vol. 92, pp. 732–744, Mar. 2019. https://doi.org/10.1016/j.future.2017.11.035
Nordic Institute for Interoperability Solutions, “X-Road® Architecture.” https://x-road.global/architecture
Nordic Institute for Interoperability Solutions, “X-Road.” https://github.com/nordic-institute/X-Road
A. Dagoumas, “Assessing the impact of cybersecurity attacks on power systems,” Energies, vol. 12, no. 4, Feb. 2019. https://doi.org/10.3390/en12040725
M. Bolaños Gonzalez; C. Collazos; F. Gutiérrez Vela, “Reference Framework for Measuring the Level of Technological Acceptance by the Elderly: A Virtual Assistants Case Study,” TecnoLógicas, vol. 24, no. 50, pp. 1–16, 2021. https://doi.org/10.22430/22565337.1791
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