An IoT based smart solar photovoltaic remote monitoring and control unit

Adhya, Soham; Saha, Dipak; Das, Abhijit; Jana, Joydip; Saha, Hiranmay

doi:10.1109/ciec.2016.7513793

Cited by 166 publications

(54 citation statements)

References 11 publications

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“…Technology based on an open-source hardware platform, Arduino, and an open-source web platform, Cosm, allows the implementation of a low-cost and scalable model that enables real-time information for monitoring and maintenance of PV systems [63]. Adhya and colleagues [64] based their research on the Internet-of-Things to implement a low-cost platform to monitor PV systems. By installing wireless sensors and sending real-time data to a web platform, preventive maintenance, historical data analysis, and fault detection are facilitated.…”

Section: Predictive Maintenance Using Real-time Sensorsmentioning

confidence: 99%

PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities

et al. 2020

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Within the United States solar energy industry, there is a general motto of “set it and forget it” with solar energy. This notion is derived from much of the research and reliability studies around the photovoltaic (PV) panels themselves, not necessarily the PV system as a whole (including the inverter and other components). This implies that maintenance and regular monitoring is not needed. Yet many things can go wrong to cause the actual performance to deviate from the expected performance. If failures and/or unanticipated degradation issues go undetected, they will lead to reduced energy generation (and associated electricity credits) and/or potential loss of component warranty because of manufacturer turnover. Given the size of the problem and gaps with current solutions, the authors propose that PV system owners need an unbiased third-party off-the-shelf system-level predictive maintenance tool to optimize return-on-investment and minimize time to warranty claim in PV installations. This paper reviews the literature highlighting challenges, current approaches, and opportunities for PV predictive maintenance. The paper concludes with a call to action for establishing a collaborative agenda toward prioritizing PV predictive maintenance.

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Section: Predictive Maintenance Using Real-time Sensorsmentioning

confidence: 99%

PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities

et al. 2020

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“…This system could improve energy production efficiency by reducing manual supervision and assisting scheduling task of plant management. The potential of integrating solar power into utility grid is also promoted [146]. Han et al developed a home energy management system using IoT technique, considering both energy consumption and renewable energy generation [147].…”

Section: Monitoringmentioning

confidence: 99%

Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review

et al. 2018

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With the rapid development of sensing, communication, computing technologies, and analytics techniques, today’s manufacturing is marching towards a new generation of sustainability, digitalization, and intelligence. Even though the significance of both sustainability and intelligence is well recognized by academia, industry, as well as governments, and substantial efforts are devoted to both areas, the intersection of the two has not been fully exploited. Conventionally, studies in sustainable manufacturing and smart manufacturing have different objectives and employ different tools. Nevertheless, in the design and implementation of smart factories, sustainability, and energy efficiency are supposed to be important goals. Moreover, big data based decision-making techniques that are developed and applied for smart manufacturing have great potential in promoting the sustainability of manufacturing. In this paper, the state-of-the-art of sustainable and smart manufacturing is first reviewed based on the PRISMA framework, with a focus on how they interact and benefit each other. Key problems in both fields are then identified and discussed. Specially, different technologies emerging in the 4th industrial revolution and their dedications on sustainability are discussed. In addition, the impacts of smart manufacturing technologies on sustainable energy industry are analyzed. Finally, opportunities and challenges in the intersection of the two are identified for future investigation. The scope examined in this paper will be interesting to researchers, engineers, business owners, and policymakers in the manufacturing community, and could serve as a fundamental guideline for future studies in these areas.

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“…Uma dessas fontes é a utilização de células fotovoltaicas para a geração de energia elétrica a partir da energia provinda do Sol. Painéis fotovoltaicos são cada vez mais utilizados e a sua implementação tem se tornado cada vez mais barata [2]. O Brasil é um país com um dos melhores potenciais de irradiação solar, o que torna a opção pela utilização destes uma escolha bem viável [3].…”

Section: Introductionunclassified

Medidor De Energia Elétrica Em Painéis Fotovoltaicos Baseado Em Internet Das Coisas

Valadão¹,

Leão²,

Silva³

et al. 2018

Conferência De Estudos Em Engenharia Elétrica

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Resumo-A utilização da internet para a integração dos mais diversos serviços em torno da eletrônica é conhecida como Internet das Coisas (Internet of Things-IoT), esse movimento tem sido tratado como uma revolução tecnológica que vem reinventando a maneira como eletrônicos se comunicam e são pensados. A consolidação desse movimento depende dos esforços coletivos das mais diversas áreas da engenharia na criação de plataformas que confirmem a viabilidade dessa ideia. Nesse trabalho, a IoT estará presente na medição da energia elétrica gerada em painéis fotovoltaicos. Os dados obtidos serão transmitidos via Wi-Fi e posteriormente serão armazenados em um banco de dados disponível na internet, a fim de que esses dados sejam utilizados para as mais diversas aplicações. O medidor utilizará o chip ESP8266 que possui a capacidade de comunicação sem fio. Além disso, o mesmo possuirá como ferramenta de interação, um Bot para fins de visualização e monitoramento dos dados obtidos, utilizando o app para dispositivos móveis Telegram. Palavras-Chave-medidor de energia elétrica sem fio; painel fotovoltaico; internet das coisas; telegram bot;

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An IoT based smart solar photovoltaic remote monitoring and control unit

Cited by 166 publications

References 11 publications

PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities

PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities

Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review

Medidor De Energia Elétrica Em Painéis Fotovoltaicos Baseado Em Internet Das Coisas

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