Integrated Energy Management System Approach for Off-Grid Residential Home
Green Energy and Technology, ISSN: 1865-3537, Vol: Part F3276, Page: 21-28
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Book Chapter Description
Efficient management of renewable energy sources is crucial for grid integration. This paper proposes an integrated energy management system (IEMS) that combines supply and demand-side management to manage the use of solar energy. An off-grid residential load supplied by a 7.5 kVA diesel generator (DG) and 10 kW photovoltaic (PV) supply is considered. The main objective of the IEMS framework is to increase PV usage through solar energy forecasting (SEF), time-of-use (TOU) criteria, direct load control (DLC) and generator control (GC). First, the PV is optimally sized using the Performance Ratio method. Next, a three-step SEF approach predicts the next-day ahead PV generation. Finally, the IEMS’s decision algorithm sets the TOU, initiates DLC to reduce excess load, and/or increase supply by calling up the DG. The performance of three configurations is compared: DG, DG/PV, and DG/PV/IEMS. The DG/PV/IEMS configuration showed an increase PV usage over the DG/PV by 132%. In addition, the IEMS reduces CO emissions by 47% and 35% when compared to the DG and DG/PV configurations respectively.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85201389741&origin=inward; http://dx.doi.org/10.1007/978-3-031-62042-3_3; https://link.springer.com/10.1007/978-3-031-62042-3_3; https://dx.doi.org/10.1007/978-3-031-62042-3_3; https://link.springer.com/chapter/10.1007/978-3-031-62042-3_3
Springer Science and Business Media LLC
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