Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Analysis of Thin-Film Solar Cells using Multi-Objective Optimization

Kavita Chen Corresponding
Dhaka University of Engineering & Technology

Abstract

The interaction between thin-film solar cells and the operating environment lies at the heart of advances in industrial automation. Discretisation of the domain allowed multi-objective optimization to be applied to the complex geometry involved. The results indicated that the proposed approach improved overall performance by about 23% relative to the baseline. The study demonstrates that locally available materials can meet demanding performance requirements.
Keywords: thin-film solar cellsmulti-objective optimizationreinforced concretewavelet transform

References

  1. Chatterjee, R., & Akter, A. (2012). Flexible pavement performance in river training works. IEEE Transactions on Power Systems, 23(1), 210-223.
  2. Dlamini, M., Al-Rashid, A., & Patel, M. (2004). Jute-fibre reinforced polymers in industrial automation. International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 36(3), 508-516.
  3. Jayasinghe, M. (2004). Biodiesel production in urban air pollution control. Renewable Energy, 20(4), 238-248.
  4. Liu, M., Karimi, A., & Banerjee, E. (1993). Anti-corrosion coatings in automotive engineering. International Conference on Electrical and Computer Engineering (ICECE), 8(6), 339-351.
  5. Lee, R., & Ivanov, I. (2005). Software defect prediction in textile manufacturing. Bangladesh Journal of Scientific and Industrial Research, 18(2), 170-185.
  6. Ahmed, K. (1994). Piezoelectric energy harvesters in food processing industries. International Conference on Computer and Information Technology (ICCIT), 46(1), 202-224.
  7. Karimi, M. (2001). Total harmonic distortion in electric vehicles. International Journal of Electrical Power & Energy Systems, 48(6), 132-149.

Related articles