The determinants of photovoltaic system costs: An evaluation using a hierarchical learning curve model

Amy J.C. Trappey, Charles V. Trappey, Hao Tan*, Penny H.Y. Liu, Shin Je Li, Lee Cheng Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

The uptake of solar power globally as an important alternative energy source to fossil fuels, together with a rapid fall in the cost of photovoltaic (PV) systems, has been phenomenal during the past decade. This trend is widely anticipated to continue for the years to come. The decline in PV installation costs, like many other new technologies through history, has been largely driven by the learning curve effect. However, it is suggested that other factors, such as costs of key production inputs and prices of competing technologies, also impact the costs of PV systems. In this study, we construct a hierarchical learning curve model to quantify the effects that various factors have on installation costs of PV systems based on empirical data from Taiwan. The results show that, in addition to the learning curve effect as underpinned by an increase of cumulative PV capacity, reductions to silicon price have significantly contributed to the decline of the final installation costs of PV systems in Taiwan. By quantifying the effects of critical cost factors, the learning curve effects on PV installation costs in Taiwan are defined which enable a more accurate projection of PV installation costs for governments, PV producers, operators and users.

Original languageEnglish
Pages (from-to)1709-1716
Number of pages8
JournalJournal of Cleaner Production
Volume112
DOIs
StatePublished - 20 Jan 2016

Keywords

  • Hierarchical learning curve
  • Photovoltaic electricity generation
  • Renewable energy

Fingerprint Dive into the research topics of 'The determinants of photovoltaic system costs: An evaluation using a hierarchical learning curve model'. Together they form a unique fingerprint.

Cite this