A Novel PV Size Selection for Time of Use Tariff for Residence in Phayao Province, Thailand

Authors

  • Songpol Pudwong
  • Bunyawat Vichanpol
  • Nopparat Katekhow

Keywords:

Photovoltaic, Time of Use Tariff, Residential

Abstract

This research aims to study the photovoltaic (PV) size for residence that consider to take an advantage from the electricity cost of time of use (TOU) tariff. The study is conducted by considering the 2015 tariff rate of Provincial Electricity Authority (PEA). The research is studied only residence with electricity consumption over 150 kWh per month and at voltage level lower than 22 kV. In the study, the electricity generated from PV is used in peak time periods only. As the simulation results, the minimum and maximum PV size selection chart is demonstrated. The minimum and maximum PV size depend on the total electricity consumption before PV installation (kWhT,E) and the existing ratio of electricity consumption in peak time ( ). If the electricity consumption per month and the ratio of electricity consumption in  are increasingly high, the maximum size of the PV installation will be accordingly enlarged as well. In addition, the results showed that the customers who use the total electricity consumption less than 500 units per month and the ratio of electricity consumption in peak time more than 0.8 will not benefit to the TOU tariff.

References

[1] Bayindir, R., Colak I., Fulli, G., & Demirtas, K. (2016). Smart grid technologies and applications. Renewable and Sustainable Energy Reviews, 66, 499–516.

[2] Okoye, C. O., & Solyali, O. (2017). Optimal sizing of stand-alone photovoltaic systems in residential buildings. Energy, 126, 573–584.

[3] Sadineni, S. B., Atallah, F. & Boehm, R. F. (2016). Impact of roof integrated PV orientation on the residential electricity peak demand. Applied Energy, 92, 204–210.

[4] Sampaio, P. G. V., & Gonzálezb, M. O. A. (2017). Photovoltaic solar energy: Conceptual framework. Renewable and Sustainable Energy Reviews, 67, 590–601.

[5] Provincial Electricity Authority (PEA). (2015). Electricity tariffs classified by electricity sector. Retrieved from https://esd.pea.co.th/pdf/electricity_rate_58_02.pdf

[6] Syed, I. M., & Raahemifar, K. (2016). Energy advancement integrated predictive optimization of photovoltaic assisted battery energy storage system for cost optimization. Electric Power Systems Research, 140, 917–924.

[7] Songpol, P., Nopparat, K., Wichaphon, F., Thananat, L., & Bunyawat, V. (2018). Electricity cost saving simulation of changing to time of use rate (TOU). Thai Science and Technology Journal. (Accepted paper)

[8] Greenzone (Thailand) Co.,Ltd. (2013). Solar PV system information pack – fit program. greenzone (Contribute to a greener earth). Retrieved from https://www.greenzone-thailand.com

[9] Department of Alternative Energy Development and Efficiency. Thailand (2018). Potential of solar radiation database in Thailand 2018. Retrieved from http://www.dede.go.th/ewt_news.php?nid=47941&filename=index

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Published

2019-05-07

How to Cite

Pudwong, S., Vichanpol, B., & Katekhow, N. (2019). A Novel PV Size Selection for Time of Use Tariff for Residence in Phayao Province, Thailand. Journal of Renewable Energy and Smart Grid Technology, 14(1). Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/170837

Issue

Vol. 14 No. 1 (2019): January-June

Section

Articles

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