ANÁLISE DO CUSTO-BENEFÍCIO DA IMPLEMENTAÇÃO DE SMART HOMES COM FOCO NA SUSTENTABILIDADE
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O aumento do CO2 e o crescimento populacional intensificam a crise energética, ainda dependente de combustíveis fósseis. Nesse cenário, a Smart Energy emerge como solução abrangente para otimizar a geração, transmissão, distribuição, armazenamento, consumo e comercialização de energia, focando em eficiência, flexibilidade e sustentabilidade. Este artigo explora os benefícios da Smart Energy em residências, responsáveis por mais de 40% do consumo energético, destacando sua relevância na redução de emissões de CO2. A transformação de residências em Smart Homes, através de sistemas de automação, gera impactos positivos ambientais e econômicos. A metodologia empregada baseou-se em uma revisão sistemática da literatura para analisar tecnologias emergentes. Globalmente, o consumidor residencial se torna mais flexível, produzindo e consumindo sua energia, impulsionando comunidades de energia microgrid. Com avanços tecnológicos e regulatórios, a Smart Energy tem o potencial de transformar o setor energético, promovendo um futuro mais sustentável e resiliente.
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Referências
AGGARWAL, S. et al. Survey on energy trading in the smart grid: Taxonomy, research challenges and solutions. IEEE Access, v. 9, p. 116231–116253, 2021.
ALFAVERH, F.; DENAI, M.; SUN, Y. A Dynamic Peer-to-Peer Electricity Market Model for a Community Microgrid with Price-Based Demand Response. IEEE Transactions on Smart Grid, v. 14, n. 5, p. 3976–3991, 2023.
ANDRADE, S. H. M. S. et al. A Smart Home Architecture for Smart Energy Consumption in a Residence with Multiple Users. IEEE Access, v. 9, p. 16807–16824, 2021.
ANIL, V.; ARUN, S. L. Enhancing Transactive Energy Trading Framework for Residential End Users. IEEE Access, v. 12, p. 39399–39416, 2024.
BENCHEKROUN, A. et al. Grid-Aware Energy Management System for Distribution Grids Based on a Co-Simulation Approach. IEEE Transactions on Power Delivery, v. 38, n. 5, p. 3571–3581, 2023.
BHAMIDI, L.; SIVASUBRAMANI, S. Optimal Sizing of Smart Home Renewable Energy Resources and Battery under Prosumer-Based Energy Management. IEEE Systems Journal, v. 15, n. 1, p. 105–113, 2021.
BIN MOHAMAD SAIFUDDIN, M. R. et al. A nano-biased energy management using reinforced learning multi-agent on layered coalition model: Consumer sovereignty. IEEE Access, v. 7, p. 52542–52564, 2019.
CAPPERS, P. et al. An assessment of market and policy barriers for demand response providing ancillary services in U.S. electricity markets. Energy Policy, v. 62, p. 1031–1039, nov. 2013.
CECCON, W. F. et al. Intelligent Electric Power Management System for Economic Maximization in a Residential Prosumer Unit. IEEE Access, v. 9, p. 48713–48731, 2021.
DE CARVALHO, P. S.; SILUK, J. C. M.; SCHAEFER, J. L. Analysis of Factors that Interfere with the Regulatory Energy Process with Emphasis on the Energy Cloud. International Journal of Energy Economics and Policy, v. 12, n. 2, p. 325–335, 20 mar. 2022.
HAN, B. et al. Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies. IEEE Access, v. 11, p. 19999–20025, 2023.
HONARMAND, M. E. et al. An Overview of Demand Response: From its Origins to the Smart Energy Community. IEEE Access, v. 9, p. 96851–96876, 2021.
KANCHEV, H. et al. Energy management and operational planning of a microgrid with a PV-based active generator for smart grid applications. IEEE Transactions on Industrial Electronics, v. 58, n. 10, p. 4583–4592, 2011.
KHAN, R. et al. Energy Sustainability-Survey on Technology and Control of Microgrid, Smart Grid and Virtual Power Plant. IEEE Access, v. 9, p. 104663–104694, 2021.
KUTLU GÜNDOĞDU, F. Analyzing critical barriers of smart energy city in Turkey based on two-dimensional uncertainty by hesitant z-fuzzy linguistic terms. Engineering Applications of Artificial Intelligence, v. 113, p. 104935, ago. 2022.
LOPEZ, O. L. A. et al. Energy-Sustainable IoT Connectivity: Vision, Technological Enablers, Challenges, and Future Directions. IEEE Open Journal of the Communications Society, v. 4, p. 2609–2666, 2023.
LÓPEZ, O. L. A. et al. Energy-Sustainable IoT Connectivity: Vision, Technological Enablers, Challenges, and Future Directions. IEEE Open Journal of the Communications Society, v. 4, p. 2609–2666, 2023.
SAIF, A. et al. Impact of Distributed Energy Resources in Smart Homes and Community-Based Electricity Market. IEEE Transactions on Industry Applications, v. 59, n. 1, p. 59–69, jan. 2023.
SCHAEFER, J. L. et al. Management Challenges and Opportunities for Energy Cloud Development and Diffusion. Energies, v. 13, n. 16, p. 4048, 5 ago. 2020.
SCHAEFER, J. L.; SILUK, J. C. M.; CARVALHO, P. S. DE. An MCDM-based approach to evaluate the performance objectives for strategic management and development of Energy Cloud. Journal of Cleaner Production, v. 320, p. 128853, out. 2021.
SILUK, J. C. M. et al. Collaborative drivers’ networks for the development of Smart Energy environments. Sustainable Energy Technologies and Assessments, v. 65, p. 103749, maio 2024.
YAGHMAEE MOGHADDAM, M. H.; LEON-GARCIA, A. A Fog-Based Internet of Energy Architecture for Transactive Energy Management Systems. IEEE Internet of Things Journal, v. 5, n. 2, p. 1055–1069, 2018.
ZAFAR, U.; BAYHAN, S.; SANFILIPPO, A. Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid. IEEE Access, v. 8, p. 119271–119286, 2020.
ZIPPERER, A. et al. Electric energy management in the smart home: Perspectives on enabling technologies and consumer behavior. Proceedings of the IEEE, v. 101, n. 11, p. 2397–2408, nov. 2013.