Performance Evaluation of Solar-Powered DC Milking Machine for Dairy Cattle

This research practically evaluates the impact and performance of the solar-powered DC milking machine on dairy cattle. The milking machine was tested and evaluated on the Sokoto Gudali and Geurnsey cattle with respect to the milking time, milk yield, milking efficiency and energy efficiency. The environmental impact of the design was assessed using RETScreen software to ascertain the level of greenhouse gas emissions in comparison to conventional milking machine. The results indicated that both breeds of cattle take approximately 8 – 15 minutes per day and 4 - 8minutes across morning and evening milking sessions. They produce 2.3 – 6.6litres of milk per day and 1.0 - 4.4litres of milk across the morning and evening milking session. Milking efficiency ranged from 0.26l/min - 0.62l/min while the energy efficiency was at the range of 0.15kJ/l - 0.36kJ/l. The environmental impact of the solar-powered DC milking machine showed to have a 93% significant reduction in gross annual greenhouse gas emissions.

Milking Time; Milk Yield; Milking Efficiency; Energy Efficiency; Milking Machine

1. Abdulhameed, B. O., Benyoh Emmanuel, K. N., Jong Wook, R., Dongjun, S., & Jeung-Soo, H. (2019). Validating the techno-economic and environmental sustainability of solar PV technology in Nigeria using RETScreen Experts to assess its viability, Sustainable Energy Technologies and Assessments, 36 (1) 100542, ISSN22131388 2019. 100542. [Google Scholar] [Crossref]

2. Dohmen, W., Neijenhuis, F., & Hogeveen, H. (2010). Relationship between udder health and hygiene on farms with an automatic milking system. J Dairy Sci. Sep;93(9):4019-33. doi: 10.3168/jds.2009-3028. [Google Scholar] [Crossref]

3. Gadekar, S. V., Karle, R., Surase, R. K., Handal, G. K., &. Kiran. M. P. (2017). Design and fabrication of cyclic operated milking machine. Internation Journal of Advance Research and Innovative Ideas in Education, 3(2): 3134-3140. [Google Scholar] [Crossref]

4. Kaskous, S. (2016). MultiLactor milking system, a revolution in milking technology. In research report, Department of Research and Development; Siliconform: Türkheim, Germany; pp. 1–40. [Google Scholar] [Crossref]

5. Qazi, A., Hussain, F., Rahim, N. A., Hardaker, G., Alghazzawi, D., Shaban, K., & Haruna, K. (2019). Towards sustainable energy: a systematic review of renewable energy sources, technologies, and public opinions. IEEE access, 7, 63837-63851. [Google Scholar] [Crossref]

6. Sefeedpari, Paria, Shokoohi, Zeinab, Seyyed, Hassan, & Pishgar-Komleh. (2020). Dynamic energy efficiency assessment of dairy farming system in Iran: Application of window data envelopment analysis, Journal of Cleaner Production, Volume 275, 124178, ISSN0959-6526 2020. 124178. [Google Scholar] [Crossref]

7. Wesseler, J. H. H., & Zilberman, D. (2021). Biotechnology, bioeconomy, and sustainable life on land. In Transitioning to sustainable life on land (Vol. 15, pp. 415–435). MDPI. Xepapadeas, A. (2011). The economics of non-point-source pollution. Annual Review of Resource Economics, 3(1), 355–373. [Google Scholar] [Crossref]

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