An IOT Innovation of Smart Solar Energy Consumption Analysis and Control in Micro Grid

Author:

Anantha Krishnan V.1,Jeba Sheela A.2,Muthuraj B.3,Senthil Kumaran U.4,Muni T. Vijay5,Rani Tirukoti Sudha6,Sripada Ramesh N. S. V. S. C.7,Siddique Manzoor Hiu8,Raju Raja9ORCID

Affiliation:

1. School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu 600127, India

2. Department of Computer Science and Engineering, Easwari Engineering College, Chennai, Tamil Nadu 600089, India

3. Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, Tamil Nadu 600123, India

4. School of Information Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India

5. Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh 522302, India

6. Department of Electronics and Communication Engineering, Aditya Engineering College, Surampalem, 533437 Andhra Pradesh, India

7. Department of Computer Science and Engineering, Aditya College of Engineering & Technology, Surampalem, Andhra Pradesh, India

8. Department of Chemistry, C. Abdul Hakeem College of Engineering & Technology, Melvisharam, 632509 Vellore, Tamil Nadu, India

9. Department of Mechanical Engineering, St. Joseph University, Dar es Salaam, Tanzania

Abstract

Solar energy consumption is a systematic study used to review the design of facilities, services, and equipment in an organization against specifications of solar panel. The solar panel energy consumption analysis is a work that should be done at the beginning of a solar energy. This way, potential changes can be highlighted before they affect the solar energy budget and schedule. The proposed model provides the IOT-based smart solar energy consumption analysis and control model by using solar photovoltaic micro grid. The proposed IOT design must meet product and process requirements. The solar panel energy should properly address important aspects of production processes. This should include risks related to product quality and safety. Finally, unacceptable risks must be minimized by design. In the solar energy consumption analysis process, the deliverables should be evaluated; customers should precheck the proposed design and identify problematic areas, if any. Solar energy consumption analysis reveals whether user requirements and features are sufficient to achieve the desired outcome. Likewise, there should be corrective actions for discrepancies found in design reviews.

Publisher

Hindawi Limited

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,Atomic and Molecular Physics, and Optics,General Chemistry

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Solar Energy Optimisation Using IoT and Deep Learning- A Review;2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2022-12-08

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