Developing an Integrated Model for Optimization of the Performance of Utilizing Green Information Technology for Energy Harvesting

Chandan Bansal

Vol. 7, Issue 1, Jan-Dec 2021

Page Number: 196 - 210

Abstract:

Green information technology (IT) has the potential to revolutionize energy harvesting practices. Innovative approaches can be devised to capture energy from renewable sources like sunlight and wind, harnessing the capabilities of IT. This harvested energy can then be utilized to power households and perform various daily tasks. In this paper, we explore the opportunities presented by green IT for energy harvesting and discuss several applications. Among these, the utilization of intelligent grids stands out as a promising method for leveraging green IT in energy collection. Intelligent grids gather data from various components and transmit it to a central hub, aiming to optimize energy usage. By analyzing this data, the most cost-effective and efficient energy sources for a particular location can be identified, facilitating the integration of solar, wind, and other renewable energy sources into a more sustainable energy system. Additionally, green IT enables the development of efficient energy storage systems. By leveraging information technology, we can create energy storage solutions that are both effective and cost-efficient, utilizing batteries, solar energy systems, and other renewable resources. This ensures that energy remains readily available whenever and wherever needed, contributing to the establishment of a reliable energy storage infrastructure.

References

• Zhong, Y., Zhao, H., Guo, Y., Rui, P., Shi, S., Zhang, W., ... & Wang, Z. L. (2019). An easily assembled electromagnetic‐ triboelectric hybrid nanogenerator driven by magnetic coupling for fluid energy harvesting and self‐powered flow monitoring in a smart home/city. Advanced Materials Technologies, 4(12), 1900741.
• Chamanian, S., Çiftci, B., Uluşan, H., Muhtaroğlu, A., & Külah, H. (2019). Powerefficient hybrid energy harvesting system for harnessing ambient vibrations. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(7), 2784-2793.
• Kalyani, V. L., Dudy, M. K., & Pareek, S. (2015). Green energy: The need of the world. Journal of Management Engineering and Information Technology, 2(5), 18-26.
• Thompson, N. J., Wilson, M. W., Congreve, D. N., Brown, P. R., Scherer, J. M., Bischof, T. S., ... & Baldo, M. A. (2014). Energy harvesting of non-emissive triplet excitons in tetracene by emissive PbS nanocrystals. Nature materials, 13(11), 1039-1043.
• Avinash Khatri, K.C., Krishna Bikram Shah, Logeshwaran, J., & Ashish Shrestha (2023). Genetic algorithm based techno-economic optimization of an isolated hybrid energy system. ICTACT Journal on microelectronics, 8(4), 1447-1450
• Logeshwaran J, Shanmugasundaram N, Lloret J. L-RUBI: An efficient load-based resource utilization algorithm for bi-partite scatternet in wireless personal area networks. Int J Commun Syst.2023;e5439
• Vaniprabha, A., Logeshwaran, J., Kiruthiga, T., & Krishna Bikram Shah (2022). Examination of the Effects of Long-term COVID-19 Impacts on Patients with Neurological Disabilities Using a Neuro machine Learning Model. BOHR International Journal of Neurology and Neuroscience, 1(1), 21-28
• Prudviraj, J., Vishnu, C., & Mohan, C. K. (2022). M-FFN: multi-scale feature fusion network for image captioning. Applied Intelligence, 52(13), 14711-14723.
• Ramesh, G., Logeshwaran, J., Gowri, J., & Ajay Mathew (2022). The management and reduction of digital noise in video image processing by using transmission based noise elimination scheme. ICTACT Journal on image and video processing, 13(1), 2797- 2801
• J.Logeshwaran (2022, October). The Topology configuration of Protocol-Based Local Networks in High speed communication networks. In Multidisciplinary Approach in Research, Vol. 15, pp. 78-83
• Raja, S., Logeshwaran, J., Venkatasubramanian, S., Jayalakshmi, M., Rajeswari, N., Olaiya, N. G., & Mammo, W. D. (2022). OCHSA: Designing EnergyEfficient Lifetime-Aware Leisure Degree Adaptive Routing Protocol with Optimal Cluster Head Selection for 5G Communication Network Disaster Management. Scientific Programming, 2022
• Gopi, B., Logeshwaran, J., Gowri, J., & Aravindarajan, V. (2022). The Identification of quantum effects in electronic devices based on charge transfer magnetic field model. NeuroQuantology, 20(8), 5999-6010
• Yang, G., Wu, H., Li, Y., Wang, D., Song, Y., Zhou, Y., ... & Zhou, G. (2021). Direct ink writing of fluoropolymer/CNT-based superhydrophobic and corrosion-resistant electrodes for droplet energy harvesters and self-powered electronic skins. Nano Energy, 86, 106095.
• Mitcheson, P. D., Yeatman, E. M., Rao, G. K., Holmes, A. S., & Green, T. C. (2008). Energy harvesting from human and machine motion for wireless electronic devices. Proceedings of the IEEE, 96(9), 1457-1486.
• Goswami, A., & Sen, P. (2018). Energy harvesting using droplet. In Nanomaterials for Green Energy (pp. 113-143). Elsevier.
• Alsharif, M. H., Kim, S., & Kuruoğlu, N. (2019). Energy harvesting techniques for wireless sensor networks/radio-frequency identification: A review. Symmetry, 11(7), 865.
• Ferdous, R. M., Reza, A. W., & Siddiqui, M. F. (2016). Renewable energy harvesting for wireless sensors using passive RFID tag technology: A review. Renewable and Sustainable Energy Reviews, 58, 1114-1128.
• Narayanan, D. K. L., Ramesh, G. P., & Divya, V. (2018). Robust and brittle secured video for IoT. International Journal of Engineering and Technology, 7(2.20), 93-96.
• Ramesh, G., Logeshwaran, J., Aravindarajan, V., & Feny Thachil. (2022). Eliminate the interference in 5g ultra-wide band communication antennas in cloud computing networks. ICTACT Journal On Microelectronics, 8(2), 1338-1344
• Logeshwaran, J., & Karthick, S. (2022, April). A smart design of a multi-dimensional antenna to enhance the maximum signal clutch to the allowable standards in 5G communication networks. ICTACT Journal on Microelectronics, 8(1), 1269–1274
• Ramkumar, M., Logeshwaran, J., & Husna, T. (2022). CEA: Certification based encryption algorithm for enhanced data protection in social networks. In Fundamentals of Applied Mathematics and Soft Computing, Vol. 1, pp. 161–170
• Logeshwaran, J., Ramkumar, M., Kiruthiga, T., & Sharan Pravin, R. (2022, February). SVPA - the segmentation based visual processing algorithm (SVPA) for illustration enhancements in digital video processing (DVP). ICTACT Journal on Image and Video Processing, 12(3), 2669–2673
• Logeshwaran, J. (2021, December). AICSA - an artificial intelligence cyber security algorithm for cooperative P2P file sharing in social networks. ICTACT Journal on Data Science and Machine Learning, 3(1), 251– 253
• Ku, M. L., Li, W., Chen, Y., & Liu, K. R. (2015). Advances in energy harvesting communications: Past, present, and future challenges. IEEE Communications Surveys & Tutorials, 18(2), 1384-1412.
• Huo, Z. Y., Lee, D. M., Wang, S., Kim, Y. J., & Kim, S. W. (2021). Emerging Energy Harvesting Materials and Devices for Self‐ Powered Water Disinfection. Small Methods, 5(7), 2100093.
• Huang, X., Han, T., & Ansari, N. (2015). On green-energy-powered cognitive radio networks. IEEE Communications Surveys & Tutorials, 17(2), 827-842.
• Sarkar, D., Das, N., Saikh, M. M., Biswas, P., Das, S., Das, S., ... & Basu, R. (2021). Development of a Sustainable and Biodegradable Sonchus asper Cotton Pappus Based Piezoelectric Nanogenerator for Instrument Vibration and Human Body Motion Sensing with Mechanical Energy Harvesting Applications. ACS omega, 6(43), 28710-28717.
• Chang, R. Y. (2019). D2D with energy harvesting capabilities. Wiley 5G Ref: The Essential 5G Reference Online, 1-20.
• Hu, S., Chen, X., Ni, W., Wang, X., & Hossain, E. (2020). Modeling and analysis of energy harvesting and smart grid-powered wireless communication networks: A contemporary survey. IEEE Transactions on Green Communications and Networking, 4(2), 461-496.
• Logeshwaran, J., Rex, M. J., Kiruthiga, T., & Rajan, V. A. (2017, December). FPSMM: Fuzzy probabilistic based semi morkov model among the sensor nodes for realtime applications. In 2017 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 442-446). IEEE
• Suresh, V., Mohan, C. K., Swamy, R. K., & Yegnanarayana, B. (2004). Content-based video classification using support vector machines. In Neural Information Processing: 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004. Proceedings 11 (pp. 726-731). Springer Berlin Heidelberg.
• Logeshwaran, J. (2022, March). The control and communication management for ultra dense cloud system using fast Fourier algorithm. ICTACT Journal on Data Science and Machine Learning, 3(2), 281– 284.
• Logeshwaran, J., Ramkumar, M., Kiruthiga, T., & Sharanpravin, R. (2022). The role of integrated structured cabling system (ISCS) for reliable bandwidth optimization in highspeed communication network. ICTACT Journal on Communication Technology, 13(01), 2635–2639
• Logeshwaran, J., & Shanmugasundaram, R. N. (2019, December). Enhancements of Resource Management for Device to Device (D2D) Communication: A Review. In 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 51-55). IEEE.
• Logeshwaran, J., Saravanakumar, K., Dineshkumar, S., & Arunprasath, C. (2016, March). SBML algorithm for intelligent fuel filling (IFF) and smart vehicle identification system (SVIS). International Journal of Advanced Research in Management, Architecture, Technology & Engineering, 2(9), 149–154.
• Sutharasan, M., & Logeshwaran, J. (2016, May). Design intelligence data gathering and incident response model for data security using honey pot system. International Journal for Research & Development in Technology, 5(5), 310–314
• Akhtar, F., & Rehmani, M. H. (2017). Energy harvesting for self-sustainable wireless body area networks. IT Professional, 19(2), 32-40.
• Alfonso, C. A. L., Malit, J. N., Mariano, M. B., Magwili, G. V., & Pacis, M. C. (2021, November). Implementation of a Hybrid Plant- Shaped Energy Harvester Using Flexible Polyvinylidene Fluoride (PVDF) Piezoelectric and Solar Films. In 2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (pp. 1-6). IEEE.

Back Download