Journal of Electrical Engineering and Automation
IRO Journals
Volume 2 — Issue 4 — December 2020

Renewable Energy Production from Agricultural Waste and Hydrogen Battery Formation

https://doi.org/10.36548/jeea.2020.4.002
P. Hengjinda
Department of Industrial Robotics and Automation System, Phetchaburi Rajabhat University, Phetchaburi, Thailand
Joy Iong Zong Chen
Professor, Department of Electrical Engineering, Da-Yeh University, Taiwan
PDF
PDF

How to Cite

Hengjinda, P., and Joy Iong Zong Chen. 2021. “Renewable Energy Production from Agricultural Waste and Hydrogen Battery Formation”. Journal of Electrical Engineering and Automation 2 (4): 151-55. https://doi.org/10.36548/jeea.2020.4.002.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— Renewable energy
— renewable battery
— biocoal
— agricultural carbon sequestration
— solar and wind power generation
Published: 09-02-2021

Abstract

In recent years, the growth of solar and wind power installation has not grown in par with its electrical grid integration. Hence this proposed work uses frictional Pyrolysis to enable this integration by converting electrical energy into mechanical work without any indication of excess heat requirement. The renewable energy that is in excess can be used in conversion of agricultural residue to biocoal. This is the basis of of renewable battery. In this work a case study is presented such that biomass characteristics are examined and further transformed to bio coal. Observations indicate that in the past decade there is a significant increase in wind power installation (258%) and the number of solar PVs installed have also accounted for 21,437 GWh. From the biomass initial stage, the total amount of energy produced lies within the range 78% to 89%. This methodology of using renewable battery ensures that the environment state cleaner and carbon sequestration and also be implemented in agricultural development.

References

  1. Rajanna, S., & Saini, R. P. (2016). Development of optimal integrated renewable energy model with battery storage for a remote Indian area. Energy, 111, 803-817.
  2. Esteban, M., Zhang, Q., & Utama, A. (2012). Estimation of the energy storage requirement of a future 100% renewable energy system in Japan. Energy Policy, 47, 22-31.
  3. Chen, H., Armand, M., Demailly, G., Dolhem, F., Poizot, P., & Tarascon, J. M. (2008). From biomass to a renewable LixC6O6 organic electrode for sustainable Li‐ion batteries. ChemSusChem: Chemistry & Sustainability Energy & Materials, 1(4), 348-355.
  4. Jiang, Y., Kang, L., & Liu, Y. (2019). A unified model to optimize configuration of battery energy storage systems with multiple types of batteries. Energy, 176, 552-560.
  5. Karuppusamy, P. (2019). Design and Analysis of Low-power. High-Speed Baugh Wooley Multiplier. Journal of Electronics, 1(02), 60-70.
  6. Jiang, Y., Kang, L., & Liu, Y. (2019). A unified model to optimize configuration of battery energy storage systems with multiple types of batteries. Energy, 176, 552-560.
  7. Alshammari, N., & Asumadu, J. (2020). Optimum unit sizing of hybrid renewable energy system utilizing harmony search, Jaya and particle swarm optimization algorithms. Sustainable Cities and Society, 60, 102255.
  8. Lv, Y., Li, Y., Han, C., Chen, J., He, Z., Zhu, J., ... & Wang, L. (2020). Application of porous biomass carbon materials in vanadium redox flow battery. Journal of colloid and interface science, 566, 434-443.
  9. Ramesh, M., & Saini, R. P. (2020). Effect of different batteries and diesel generator on the performance of a stand-alone hybrid renewable energy system. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-23.
  10. Muneera, B. H., Janeera, D. A., Shankar, B. M., & Anita, S. D. R. (2020, September). Edge Preserving Filter Selection for Noise Removal and Histogram Equalization. In 2020 International Conference on Smart Electronics and Communication (ICOSEC) (pp. 567-571). IEEE.
  11. Ghenai, C., & Janajreh, I. (2016). Design of solar-biomass hybrid microgrid system in Sharjah. Energy Procedia, 103, 357-362.
  12. Alshammari, N., Samy, M. M., & Asumadu, J. (2018, December). Optimal economic analysis study for renewable energy systems to electrify remote region in Kingdom of Saudi Arabia. In 2018 Twentieth International Middle East Power Systems Conference (MEPCON) (pp. 1040-1045). IEEE.
  13. Chandramouli, A., & Sivachidambaranathan, V. (2019). Extract maximum power from PV system employing MPPT with FLC controller. power, 1(4).