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Techno-economic assessment of titanium dioxide nanorod-based perovskite solar cells: From lab-scale to large-scale manufacturing

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  • Kukkikatte Ramamurthy Rao, Harshadeep
  • Gemechu, Eskinder
  • Thakur, Ujwal
  • Shankar, Karthik
  • Kumar, Amit

Abstract

Perovskite solar cells (PSCs) have shown remarkable progress in recent years. Different materials and structures have been developed to improve the photoconversion efficiency and operational stability of PSCs. However, the economic and technical impacts of materials and design choice on the large-scale deployment are not well addressed in the literature. In this research, a pathway for producing titanium dioxide (TiO2) nanorod-based perovskite solar modules was established and their manufacturing cost was estimated through the development of data-intensive, bottom-up techno-economic models. Material, utilities, and equipment requirements from available laboratory data to a mass production annual capacity of up to 21 MW were estimated through the development of scale factors. The minimum sustainable price and levelized cost of electricity were calculated. The direct manufacturing cost of the reference PSC module was estimated at $80.23/m2 and $0.73/W with a production capacity of 3.5 MWp. These costs decline to $47.15/m2 and $0.43/W at 21 MW production capacity. Material costs dominate the overall costs, fluorine-doped tin oxide glass being the most expensive material. The perovskite solar cell panels, when installed in residential homes in Alberta, Canada, were calculated to have a competitive levelized cost of electricity ranging from 7 to 17 cents per kWh. However, the cost was found to be extremely sensitive to the module efficiency, lifetime, and the solar insolation at the location of installation.

Suggested Citation

  • Kukkikatte Ramamurthy Rao, Harshadeep & Gemechu, Eskinder & Thakur, Ujwal & Shankar, Karthik & Kumar, Amit, 2021. "Techno-economic assessment of titanium dioxide nanorod-based perovskite solar cells: From lab-scale to large-scale manufacturing," Applied Energy, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:appene:v:298:y:2021:i:c:s0306261921006711
    DOI: 10.1016/j.apenergy.2021.117251
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    1. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    2. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    3. van der Zwaan, Bob & Rabl, Ari, 2004. "The learning potential of photovoltaics: implications for energy policy," Energy Policy, Elsevier, vol. 32(13), pages 1545-1554, September.
    4. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    5. Jessika E. Trancik, 2014. "Renewable energy: Back the renewables boom," Nature, Nature, vol. 507(7492), pages 300-302, March.
    6. John Haldi & David Whitcomb, 1967. "Economies of Scale in Industrial Plants," Journal of Political Economy, University of Chicago Press, vol. 75(4), pages 373-373.
    7. Kavlak, Goksin & McNerney, James & Trancik, Jessika E., 2018. "Evaluating the causes of cost reduction in photovoltaic modules," Energy Policy, Elsevier, vol. 123(C), pages 700-710.
    8. Andy Extance, 2019. "The reality behind solar power’s next star material," Nature, Nature, vol. 570(7762), pages 429-432, June.
    9. Verma, Aman & Raj, Ratan & Kumar, Mayank & Ghandehariun, Samane & Kumar, Amit, 2015. "Assessment of renewable energy technologies for charging electric vehicles in Canada," Energy, Elsevier, vol. 86(C), pages 548-559.
    10. Mengjin Yang & Zhen Li & Matthew O. Reese & Obadiah G. Reid & Dong Hoe Kim & Sebastian Siol & Talysa R. Klein & Yanfa Yan & Joseph J. Berry & Maikel F. A. M. van Hest & Kai Zhu, 2017. "Perovskite ink with wide processing window for scalable high-efficiency solar cells," Nature Energy, Nature, vol. 2(5), pages 1-9, May.
    11. David D. Hsu & Patrick O’Donoughue & Vasilis Fthenakis & Garvin A. Heath & Hyung Chul Kim & Pamala Sawyer & Jun‐Ki Choi & Damon E. Turney, 2012. "Life Cycle Greenhouse Gas Emissions of Crystalline Silicon Photovoltaic Electricity Generation," Journal of Industrial Ecology, Yale University, vol. 16(s1), pages 122-135, April.
    12. Luís M A Bettencourt & Jessika E Trancik & Jasleen Kaur, 2013. "Determinants of the Pace of Global Innovation in Energy Technologies," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-6, October.
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    1. Zheng, Likai & Xuan, Yimin, 2021. "Performance estimation of a V-shaped perovskite/silicon tandem device: A case study based on a bifacial heterojunction silicon cell," Applied Energy, Elsevier, vol. 301(C).

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