Impact of Smart Grid Applications on Improving Energy Efficiency and Reducing Carbon Emissions
DOI:
https://doi.org/10.54097/twwf6681Keywords:
Smart grids, carbon emissions, sustainable energy, reducing reliance of fossil fuels, home energy management systems.Abstract
The adoption of smart grid applications has garnered significant attention as a strategic approach to enhance energy efficiency and mitigate carbon emissions. A smart grid represents an advanced energy distribution system that incorporates cutting-edge technology like digital communication, analytics, and automation to improve the performance of the electricity grid in relation to efficiency, reliability, and sustainability. By facilitating the seamless combining several energy resources and leveraging energy storage, renewable energy sources, and demand response capabilities, smart grids allow for more efficient electricity management. This article delves into several pivotal smart grid applications, including smart metering and home energy management systems, electric vehicle charging infrastructure, and advanced metering infrastructure with real-time data analytics. Moreover, it examines the challenges and hurdles faced during the implementation of smart grids, encompassing factors like initial investments, infrastructure upgrades, cybersecurity concerns, and the crucial need for interoperability and standardization. Furthermore, the paper evaluates the policy and regulatory support mechanisms provided by governments, such as incentives and subsidies, building codes, energy efficiency standards, and market reforms to foster innovation. In conclusion, this study underscores the exceptional potential of smart grid applications to revolutionize energy efficiency and carbon emission reduction, while also addressing the associated challenges and policy considerations for successful deployment in the future.
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References
Zhang X., Pei W., Deng W., et al., Emerging smart grid technology for mitigating global warming. International Journal of Energy Research, 2015, 39 (13): 1742 – 1756.
Karabiber A., Keles C., Kaygusuz A., Alagoz B.B., An approach for the integration of renewable distributed generation in hybrid DC/AC microgrids. Renewable Energy, 2013, 52: 251 – 259.
Justo J.J., Mwasilu F., Lee J., Jung J.W., AC-microgrids versus DC-microgrids with distributed energy resources: A review. Renewable & Sustainable Energy Reviews, 2013, 24: 387 – 405.
Ekanayake J., Jenkins N., Liyanage K.M., et al., Smart grid: technology and applications. Wiley, Hoboken. 2012.
Dileep G., A survey on smart grid technologies and applications. Renewable Energy, 2020, 146: 2589 – 2625.
Zhang L.Y., Quan S.H., Optimal Power Control of Smart Grid Based on Neural Network Optimization. Key Engineering Materials, 2011, 474: 626 - 632.
Saxena N., Choi B.J., Lu R., Authentication and Authorization Scheme for various user roles and devices in smart Grid. IEEE Transactions on Information Forensics and Security, 2016, 11 (5): 907 – 921.
Sioshansi F.P., Smart grid: integrating renewable, distributed and efficient energy. Academic Press, New York. 2011.
Palensky P., Dietrich D., Demand side management: demand response, intelligent energy systems, and smart loads. IEEE Transactions on Industrial Informatics, 2011, 7 (3): 381 – 388.
U.S. Energy Information Administration, Electricity demand patterns matter for valuing electricity supply resources. 2013.
Chhaya L., Sharma P., Kumar A., Bhagwatikar G., Application of data mining in smart grid technology. In Advances in information quality and management. IGI Global, Hershey. 2021.
Saldarini A., Miraftabzadeh S.M., Brenna M., Longo M., Strategic Approach for Electric Vehicle Charging Infrastructure for Efficient Mobility along Highways: A Real Case Study in Spain. Vehicles, 2023, 5 (3), 761 - 779.
Andren F., Strasser T., Kastner W., Model-driven engineering applied to Smart Grid automation using IEC 61850 and IEC 61499. 2014 Power Systems Computation Conference. Wroclaw. 2014. 1 - 7.
Romanovs A., Bikovska J., Peksa J., et al., State of the Art in Cybersecurity and Smart Grid Education. IEEE EUROCON 2021-19th International Conference on Smart Technologies. 2021. 571 - 576.
Lopes M.A., Antunes C.H., Janda K.B., et al., The potential of energy behaviours in a smart (er) grid: Policy implications from a Portuguese exploratory study. Energy Policy, 2016, 90: 233 - 245.
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