Assessment of Economic Feasibility for Grid- Connected Renewable Energy System for a Household Application in Terengganu

Assessment of Economic Feasibility for Grid- Connected Renewable Energy System for a Household Application in Terengganu

W. M. W. Muda Roslan Umar 

Special Interest Group of Eastern Corridor Renewable Energy, University Malaysia Terengganu, Malaysia

School of Ocean Engineering, University Malaysia Terengganu, Malaysia

East Coast Environment Research Institute, University Sultan Zainal Abidin, Malaysia

Page: 
223-232
|
DOI: 
https://doi.org/10.2495/EQ-V1-N3-223-232
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

This article extends the conference paper ‘Simulation-based method to evaluate PV/wind hybrid renewable energy system in Terengganu’. Instead of off-grid system considered in the conference version, inspired by feed-in-tariff introduced by The Government of Malaysia, this article includes grid-connected hybrid renewable energy system to examine their feasibility to be used as power supply for a household in Terengganu. In addition, this article compares the performance of grid-only system and hybrid grid-renewable energy systems in terms of cost of electricity and emission of pollutant. The payback period is also examined based on the current sellback rate. Sensitivity analysis is done to find the best sellback rate for a hybrid grid/PV/wind system to compete with a hybrid grid/PV system. In addition, the most optimal configuration is also determined by varying the value of solar radiation, wind speed and sellback rate. Generally, it is concluded that the hybrid grid/PV system is the most practicable choice to be used as power generator to supply electricity for a household in Terengganu.

Keywords: 

cost of energy, economic analysis, feed-in-tariff, grid-connected system, HOMER software, optimal configuration, payback period, renewable energy, sensitivity analysis

  References

[1] Ardakani, F.J. & Ardehali, M.M., Long-term electrical energy consumption forecast- ing for developing and developed economies based on different optimized models and historical data types. Energy, 65, pp. 452–461, 2014. http://dx.doi.org/10.1016/j.energy.2013.12.031

[2] U. S. Energy Information Administration (EIA). Retrieved from www.eia.gov, 15 June 2015.

[3] Benjamin, K.S., A qualitative factor analysis of renewable energy and Sustainable Energy for All (SE4ALL) in the Asia-Pacific. Energy Policy, 59, pp. 393–403, 2013. http://dx.doi.org/10.1016/j.enpol.2013.03.051

[4] The Economic Planning Unit, Tenth Malaysia Plan 2011–2015, Prime Minister’s Department, Putrajaya, pp. 1–451, 2010.

[5] Abdullah, A.S., Abdullah, M.P, Hassan, M.Y. & Hussin, F., Renewable energy cost- benefit analysis under Malaysian Feed-In-Tariff, IEEE Student Conference on Research and Development (SCOReD), Malaysia, pp. 160–165, 2012. http://dx.doi.org/10.1109/scored.2012.6518631

[6] Sustainable Energy Development Authority Malaysia (SEDA). Retrieved from www. seda.gov.my, 15 June 2015.

[7] Rosnazri, A., Ismail, D. & Soib, T., A review on existing and future energy sources for electrical power generation in Malaysia. Renewable and Sustainable Energy Reviews, 16(6), pp. 4047–4055, 2012. http://dx.doi.org/10.1016/j.rser.2012.03.003

[8] Rozlan, M.B.M., Zobaa, A.F. & Abdel Aleem, S.H.E., The optimisation of stand-alone hybrid renewable energy systems using HOMER. International Review of Electrical Engineering, 6(4B), pp. 1802–1810, 2011.

[9] Muda, W.M.W. & Fong, C.A., Simulation-based method to evaluate PV/wind hybrid renewable energy system in Terengganu. WIT Transactions on Ecology and the Environment, 186, pp. 91–102, 2014, ISSN 1743-3541.

[10] HOMER. Retrieved from http://www.homerenergy.com/, 22 July 2014.

[11] Gilbert, M.M., Renewable and Efficient Electric Power Systems, John Wiley & Sons: Hoboken, NJ, pp. 240–256, 2004.

[12] Tenaga Nasional Berhad (TNB). Retrieved from www.tnb.com.my, 15 June 2015. [13] NASA. Retrieved from https://eosweb.larc.nasa.gov/, 22 July 2014.