SmartLVGrid Platform—Convergence of Legacy Low-Voltage Circuits toward the Smart Grid Paradigm

Gomes, Raimundo Cláudio Souza; Costa, Carlos Araújo da; Silva, José Reinaldo; Sicchar, José Ruben

doi:10.3390/en12132590

Cited by 6 publications

(15 citation statements)

References 11 publications

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“…This paper's contribution is a requirement cycle that faces the growing complexity of microgrid design in sustainable environments. In such cases, the tendency is to couple the low-voltage distribution of energy [41] with a sustainable network of prosumer units, reducing harmful interference in the environment while integrating the energy service with its prosumers. The system is open, meaning that it will be frequently used for designing, implementing, and integrating (or removing) new prosumer arrangements on top of a legacy system that minimizes long-wire transmissions, especially inside forests.…”

Section: Discussionmentioning

confidence: 99%

A Model-Based and Goal-Oriented Approach for the Conceptual Design of Smart Grid Services

2021

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A solid demand to integrate energy consumption and co-generation emerged worldwide, motivated, on one hand, by the need to diversify and enhance energy supply, and, one the other hand, by the pressure to attend to the requirements of a heterogeneous class of users. The coupling between energy service provision and final users also includes balancing user needs, eliminating excesses, and optimizing energy supply while avoiding blackouts. Another motivation is the challenge of having sustainable sources and many adapted to the user ecosystem. Altogether, these motivations lead to more abstract design approaches to co-generation-distributed systems, such as those based on goal-oriented requirements used to model smart grids. This work considers the available design practices and its difficulties in proposing a new method capable of producing a flexible requirement model that could serve for design and maintenance purposes. We suggest coupling the approach based on goal-oriented requirements with model-based engineering to support such a model. The expected result is a sound and flexible requirements model, including a model for the interaction with the final user (now being considered a producer and consumer simultaneously). A case study is presented, wherein a small energy service system in an isolated community in the Amazon rain forest was designed.

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Section: Discussionmentioning

confidence: 99%

A Model-Based and Goal-Oriented Approach for the Conceptual Design of Smart Grid Services

2021

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“…FERNANDES et al ( 2022) apresentou um modelo de convergência para atualização de sistemas prediais legados. Por outro lado, GOMES et al (2019) empregou o retrofit para possibilitar transições graduais de plantas de distribuição de energia passivas ao paradigma de Smart Grids. Portanto, nota-se o potencial das técnicas de retrofit para agregar novas funcionalidades em sistemas desatualizados.…”

Section: Retrofitunclassified

“…Assim, as soluções emergentes passam a afetar âmbitos socioeconômicos que não a indústria, como residências, instalações prediais e os sistemas elétricos, por exemplo. Parte da evolução tecnológica decorrente do uso dessas soluções se deve aos paradigmas associados às transformações digitais deste século, como IoT, indústria 4.0, Smart Grids, Smart Cities e Smart Buildings (GOMES et al, 2019). Estes são apenas alguns dos paradigmas que promovem processos de convergência tecnológica para a evolução de estruturas e elementos pré-existentes, mas ainda necessários, denominados de sistemas legados (GIVEHCHI et al, 2017).…”

Section: Introdu ç ãOunclassified

Uma estratégia de retrofit para monitoramento energético em sistemas prediais legados

Fernandes

Gomes

Dias

et al. 2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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Electric energy management enables the planning and efficient use of this input to improve competitiveness, sustainability and reduce costs for the final consumer. Along with this, the Internet of Things (IoT) paradigm promotes the emergence of solutions for remote energy monitoring, in order to enable strategies for this type of management. However, most of these solutions favor the disposal or replacement of outdated but still necessary elements. Thus, a strategy that allows the retrofit of legacy building systems to implement monitoring resources that help in energy management is necessary. In this sense, this work presents a strategy to enable energy monitoring in legacy building infrastructures using retrofit techniques. To validate the proposal, we developed embedded platforms for monitoring building electrical circuits in a power distribution board and developed a software application to integrate these devices and visualize the acquired data. The results present an alternative to improve energy management through remote monitoring and the maximum use of pre-existing resources. Resumo: A gestão de energia elétrica possibilita o planejamento e o uso eficiente deste insumo para melhorar a competitividade, sustentabilidade e para reduzir custos para o consumidor final. Junto a isso, o paradigma de Internet das Coisas (IoT) promove o surgimento de soluções para monitoramento energético remoto, a fim de viabilizar estratégias para este tipo de gestão. Contudo, grande parte destas soluções favorecem o descarte ou substituição de elementos desatualizados, porém ainda necessários. Assim, uma estratégia que possibilite o retrofit dos sistemas prediais legados para implementar recursos de monitoramento que auxiliem na gestão energética se faz necessária. Nesse sentido, este trabalho apresenta uma estratégia para viabilizar o monitoramento energético em infraestruturas prediais legadas a partir de técnicas de retrofit. Para validar a proposta, desenvolvemos plataformas embarcadas para monitoramento de circuitos elétricos prediais em quadros de distribuição de energia e desenvolvemos uma aplicação em software para integração desses dispositivos e visualização dos dados adquiridos. Os resultados apresentam uma alternativa para melhoria da gestão energética através do monitoramento remoto e do aproveitamento máximo dos recursos pré-existentes.

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“…However, the digital transformation of legacy systems still presents challenges such as a lack of support and updates, incompatibilities, and insufficient resources to interact with current systems. Alternatively, updating these systems can occur through a process of gradual and less costly technological transformation compared to the complete replacement of legacy systems [3][4][5]. Thus, using strategies that promote the digital transformation of legacy infrastructures can be a viable alternative for acquiring data and information for data-driven management of legacy systems.…”

Section: Introductionmentioning

confidence: 99%

“…However, to perform retrofitting systematically, allowing flexibility, scalability, and standardized integration with legacy systems, a reference model with well-defined protocols and interfaces is required. The SmartLVGrid metamodel enables the digital convergence of electrical systems to the smart grids paradigm [3,12]. In the literature, this metamodel has been used to achieve smart building convergence in legacy buildings to promote energy efficiency through resources for managing energy demand and electrical parameters in building installations [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits

et al. 2023

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Energy demand forecasting is crucial for planning and optimizing the use of energy resources in building facilities. However, integrating digital solutions and learning techniques into legacy buildings presents significant challenges due to limited or outdated resources, hampering predictive analytics in these buildings and their circuits. To fill this gap, this article proposes an innovative demand forecasting strategy using an AIoT retrofit architecture based on the SmartLVGrid metamodel. This architecture allows remote monitoring of legacy building circuits, facilitating the collection, processing and storage of data in the cloud. We use several learning algorithms, including linear regression, support vector regressor, random forest regressor, XGBoost regressor, and long short-term memory (LSTM) neural network, to predict energy demand 15 min ahead, identifying potential overruns of contracted demand in accordance with Brazilian regulations. After Bayesian optimization, the LSTM neural network outperformed other models for most of the selected datasets and detected 32 out of 38 demand overruns on the test set. XGBoost and random forest followed closely, detecting 30 demand overruns. Overall, our cost-effective solution optimizes energy usage and efficiently mitigates potential demand exceedances in building installations. This is achieved through a step-by-step approach to upgrading existing aging facilities, which promotes energy efficiency and sustainability.

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SmartLVGrid Platform—Convergence of Legacy Low-Voltage Circuits toward the Smart Grid Paradigm

Cited by 6 publications

References 11 publications

A Model-Based and Goal-Oriented Approach for the Conceptual Design of Smart Grid Services

A Model-Based and Goal-Oriented Approach for the Conceptual Design of Smart Grid Services

Uma estratégia de retrofit para monitoramento energético em sistemas prediais legados

A Demand Forecasting Strategy Based on a Retrofit Architecture for Remote Monitoring of Legacy Building Circuits

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