Energy-Optimized Edge-Computing Framework for the Sustainable Development of Modern Agriculture †
Abstract
:1. Introduction
2. Methods
2.1. Valorization of Agricultural Waste Using Microgrids
2.2. Integrating Microgrid and Edge Computing
2.3. Clustering Using FPKM and K-Means
3. Experimental Setup
4. Results and Discussions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Method | Role of Microgrid | Benefit | Reference |
---|---|---|---|
Energy Generation from Waste | Host biogas digesters, gasification units, or boilers | Converts agricultural waste into heat, electricity, and energy | [3] |
On-site Energy Production | Process the waste on-site instead of a distant facility | Reduces transportation costs and loss in energy due to transport of waste to and from processing facility | [3] |
Energy Efficiency | Optimize processes involving energy conversion using CCHP systems | Captures heat generated while using CCHP systems | [4] |
Energy Storage | Store renewable energy when the power demand is low | Utilizes the stored energy cuts down on the process of regenerating brown energy in the power grid | [2] |
Independence of the Grid | Allow the grid to work independently of the main power supply | Supports agricultural practices in off-the-grid areas or more remote areas while securing continuous and reliable energy | [5] |
Excess Energy Utilization | The excess energy generated at low-peak hours can be fed back to charge batteries or monetized by selling it at high cost | Contributes to energy supply and acts as a potentially revenue-generating activity | [2] |
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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Bhende, N.; Kesavan, R. Energy-Optimized Edge-Computing Framework for the Sustainable Development of Modern Agriculture. Eng. Proc. 2023, 56, 134. https://doi.org/10.3390/ASEC2023-15904
Bhende N, Kesavan R. Energy-Optimized Edge-Computing Framework for the Sustainable Development of Modern Agriculture. Engineering Proceedings. 2023; 56(1):134. https://doi.org/10.3390/ASEC2023-15904
Chicago/Turabian StyleBhende, Neha, and Rupa Kesavan. 2023. "Energy-Optimized Edge-Computing Framework for the Sustainable Development of Modern Agriculture" Engineering Proceedings 56, no. 1: 134. https://doi.org/10.3390/ASEC2023-15904