DocumentCode
138949
Title
Solar grid parity for Malaysia: Analysis using experience curves
Author
Dahlan, N.Y. ; Jusoh, Mohd Afifi ; Abdullah, W. Nor Ainin W.
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear
2014
fDate
24-25 March 2014
Firstpage
461
Lastpage
466
Abstract
This paper presents experience curve analysis in forecasting future costs of photovoltaic (PV) and hence estimating the grid parity year for Malaysia. Using the historical prices of the PV module and PV system from 2011-2013, the future PV module and system costs for 2014-2030 are extrapolated. The PV cost analysis requires forecasted PV production growth rate in Malaysia which is obtained from Sustainable Energy Development Authority (SEDA). These forecasted PV costs are then used to estimate the solar grid parity year for Malaysia. From the analysis, it is found that the solar grid parity for Malaysia will be in year 2026 which is one year earlier than the projected solar grid parity i.e. 2027 determined by SEDA using FiT rate. Factors that influence the solar grid parity year are studied using sensitivity analysis i.e. 1) sensitivity to progress ratio and 2) sensitivity to cumulative PV production. Sensitivity to progress ratio shows that increasing the learning rate of the PV system cost will result in earlier solar grid parity. On the other hand, the sensitivity to cumulative PV production shows that, increasing the cumulative PV production in Malaysia will reduce the solar PV system cost and hence could help in achieving earlier solar grid parity.
Keywords
photovoltaic power systems; power generation economics; power grids; sensitivity analysis; solar power stations; tariffs; FiT rate; Malaysia; PV cost analysis; PV module; SEDA; Sustainable Energy Development Authority; cost forecasting; cumulative PV production sensitivity; experience curves; feed-in-tariff rate; forecasted PV production growth rate; photovoltaic system; sensitivity analysis; solar PV system cost; solar grid parity; Conferences; Electricity; Optimization; Power engineering; Production; Renewable energy sources; Sensitivity; Feed-in-Tariff; experience curve; progress ratio; solar grid parity year; system cost and module costs;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
Conference_Location
Langkawi
Print_ISBN
978-1-4799-2421-9
Type
conf
DOI
10.1109/PEOCO.2014.6814473
Filename
6814473
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