Modeling the Performance of Amorphous Silicon in Different Typologies of Curved Building-integrated Photovoltaic Conditions

Document Type : Original Article


Department of Biosystems Engineering, Tarbiat Modares University (TMU), Tehran, Iran


Photovoltaic cells are a significant renewable energy source due to their cheap cost and renewability. In both warm sunny and colder and cloudier conditions, a-Si modules outperform c-Si modules on a normalized energy basis. This study investigated 1 m2 of amorphous photovoltaic silicon on curved surfaces. The Taguchi and response surface methods were utilized to expand the model in real terms. Results demonstrated the technology gap in the use of silicon crystal photovoltaics is eliminated. The maximum power in the Taguchi method test is 59.87 W, while the minimum power is 57.84 W when the system is deployed on a flat surface, and the maximum power in the RSM Test is 61.14 W when the system is deployed on a hemispherical surface, and the minimum power is 56.6 W when the system is deployed on a flat surface. The minimal performance was 7.1% on a level surface. The flat surface produced 810 kWh, the cylindrical surface 960 kWh, and the hemisphere 1000 kWh. The NPV at Flat surface is $697.52, with a 34.81%, IRR and an 8.58-year capital return period. Hemisphere and cylindrical surfaces both get $955.18. The investment yield was 39.29% for cylindrical constructions and 40.47% for hemispheres. On the flat surface, doubling fixed investment improved IRR by 21.3%. The cylindrical system increased by 25.59% and the hemisphere by 24.58%. The developed simulation model is empirically evaluated using a MATLAB computer tool; the key findings from the validation procedure are reported in this study.


Main Subjects

  1. LiobikienÄ—, G., and Butkus, M., 2021. Determinants of greenhouse gas emissions: A new multiplicative approach analysing the impact of energy efficiency, renewable energy, and sector mix. Journal of Cleaner Production, 309, pp.127233. Doi: 10.1016/J.JCLEPRO.2021.127233
  2. Jäger-Waldau, A., 2021. Overview of the Global PV Industry. Ref Modul Earth Syst Environ Sci. doi: 10.1016/B978-0-12-819727-1.00054-6
  3. IEA, Global Energy Review, 2021 – Analysis - IEA. (accessed August 27, 2021).
  4. Hasanien, H.M., 2018. Performance improvement of photovoltaic power systems using an optimal control strategy based on whale optimization algorithm. Electric Power Systems Research, 157, pp.168–176. Doi: 10.1016/j.epsr.2017.12.019
  5. Yazid, M.N.A.W.M., Sidik, N.A.C., Mamat, R., and Najafi, G., 2016. A review of the impact of preparation on stability of carbon nanotube nanofluids. International Communications in Heat and Mass Transfer, 78, pp.253–263. Doi: 10.1016/J.ICHEATMASSTRANSFER.2016.09.021
  6. Hong, Y.Y., Beltran, A.A., and Paglinawan, A.C., 2018. A robust design of maximum power point tracking using Taguchi method for stand-alone PV system. Applied Energy, 211(July 2017), pp.50–63. Doi: 10.1016/j.apenergy.2017.11.041
  7. O’Shaughnessy, E., Cruce, J., and Xu, K., 2021. Rethinking solar PV contracts in a world of increasing curtailment risk. Energy Economics, 98, pp.105264. Doi: 10.1016/J.ENECO.2021.105264
  8. Ettefaghi, E., Ghobadian, B., Rashidi, A., Najafi, G., Khoshtaghaza, M.H., Rashtchi, M., and Sadeghian, S., 2018. A novel bio-nano emulsion fuel based on biodegradable nanoparticles to improve diesel engines performance and reduce exhaust emissions. Renewable Energy, 125, pp.64–72. Doi: 10.1016/j.renene.2018.01.086
  9. Najafi, G., and Ghobadian, B., 2011. LLK1694-wind energy resources and development in Iran. Renewable and Sustainable Energy Reviews, 15(6), pp.2719–2728. Doi: 10.1016/J.RSER.2011.03.002
  10. Awad, O.I., Ali, O.M., Mamat, R., Abdullah, A.A., Najafi, G., Kamarulzaman, M.K., Yusri, I.M., and Noor, M.M., 2017. Using fusel oil as a blend in gasoline to improve SI engine efficiencies: A comprehensive review. Renewable and Sustainable Energy Reviews, 69, pp.1232–1242. Doi: 10.1016/J.RSER.2016.11.244
  11. Chan, A.L.S., 2019. Effect of adjacent shading on the energy and environmental performance of photovoltaic glazing system in building application. Energy, 187, pp.115939. Doi: 10.1016/J.ENERGY.2019.115939
  12. Oduyemi, O., and Okoroh, M., 2016. Building performance modelling for sustainable building design. International Journal of Sustainable Built Environment, 5(2), pp.461–469. Doi: 10.1016/j.ijsbe.2016.05.004
  13. Zeb, R., Salar, L., Awan, U., Zaman, K., and Shahbaz, M., 2014. Causal links between renewable energy, environmental degradation and economic growth in selected SAARC countries: Progress towards green economy. Renewable Energy, 71, pp.123–132. Doi: 10.1016/J.RENENE.2014.05.012
  14. Azadbakht, M., Esmaeilzadeh, E., and Esmaeili-Shayan, M., 2015. Energy consumption during impact cutting of canola stalk as a function of moisture content and cutting height. Journal of the Saudi Society of Agricultural Sciences, 14(2), pp.147–152. Doi: 10.1016/j.jssas.2013.10.002
  15. Shukla, A.K., Sudhakar, K., Baredar, P., and Mamat, R., 2018. BIPV based sustainable building in South Asian countries. Solar Energy, 170, pp.1162–1170. Doi: 10.1016/j.solener.2018.06.026
  16. Rabab Mudakkar, S., Zaman, K., Shakir, H., Arif, M., Naseem, I., and Naz, L., 2013. Determinants of energy consumption function in SAARC countries: Balancing the odds. Renewable and Sustainable Energy Reviews, 28, pp.566–574. Doi: 10.1016/J.RSER.2013.08.006
  17. Edalati, S., Ameri, M., Iranmanesh, M., Tarmahi, H., and Gholampour, M., 2016. Technical and economic assessments of grid-connected photovoltaic power plants: Iran case study. Energy, 114, pp.923–934. Doi: 10.1016/
  18. Al-Falahi, M.D.A., Jayasinghe, S.D.G., and Enshaei, H., 2019. Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries. Energy, 187, pp.115923. Doi: 10.1016/J.ENERGY.2019.115923
  19. Zohoori, M., 2012. Exploiting Renewable Energy Sources in Iran. Interdisciplinary Journal of Contemporary Research in Business, 4(7), pp.849–862.
  20. Solangi, K.H., Islam, M.R., Saidur, R., Rahim, N.A., and Fayaz, H., 2011. A review on global solar energy policy, Renewable and sustainable energy reviews, 15(4), pp.2149-2163. Doi: 10.1016/j.rser.2011.01.007
  21. Salehi-Isfahani, D., and Mostafavi-Dehzooei, M.H., 2018. Cash transfers and labor supply: Evidence from a large-scale program in Iran. Journal of Development Economics, 135, pp.349–367. Doi: 10.1016/J.JDEVECO.2018.08.005
  22. Esmaeili Shayan, M., 2020. Solar Energy and Its Purpose in Net-Zero Energy Building. In: Pérez-Fargallo A, Oropeza-Perez I (eds) Zero-energy Buildings. New approaches and technologies. IntechOpen.
  23. Esmaeili shayan, M., Najafi, G., and Gorjian, S., 2020. Design Principles and Applications of Solar Power Systems, First Edit. ACECR Publication- Amirkabir University of Technology Branch, Tehran. (In Persian)
  24. Barr, M.C., Rowehl, J.A., Lunt, R.R., Xu, J., Wang, A., Boyce, C.M., Im, S.G., Bulović, V., and Gleason, K.K., 2011. Direct Monolithic Integration of Organic Photovoltaic Circuits on Unmodified Paper. Advanced Materials, 23(31), pp.3500–3505. Doi: 10.1002/adma.201101263
  25. Chen, J., E, J., Kang, S., Zhao, X., Zhu, H., Deng, Y., Peng, Q., and Zhang, Z., 2019. Modeling and characterization of the mass transfer and thermal mechanics of the power lithium manganate battery under charging process. Energy, 187, pp.115924. Doi: 10.1016/J.ENERGY.2019.115924
  26. Padmanathan, K., Govindarajan, U., Ramachandaramurthy, V.K. and Jeevarathinam, B., 2018. Integrating solar photovoltaic energy conversion systems into industrial and commercial electrical energy utilization—A survey. Journal of Industrial Information Integration, 10, pp.39-54. doi: 10.1016/j.jii.2018.01.003
  27. Dehghan, M., Rahgozar, S., Pourrajabian, A., Aminy, M., and Halek, F.S., 2021. Techno-economic perspectives of the temperature management of photovoltaic (PV) power plants: A case-study in Iran. Sustainable Energy Technologies and Assessments, 45, pp.101133. Doi: 10.1016/j.seta.2021.101133
  28. Keshtegar, B., Mert, C., and Kisi, O., 2018. Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree. Renewable and Sustainable Energy Reviews, 81(July 2017), pp.330–341. Doi: 10.1016/j.rser.2017.07.054
  29. Ghritlahre, H.K., and Prasad, R.K., 2018. Application of ANN technique to predict the performance of solar collector systems - A review. Renewable and Sustainable Energy Reviews, 84(December 2017), pp.75–88. Doi: 10.1016/j.rser.2018.01.001
  30. Esmaeili Shayan, M., and Ghasemzadeh, F., 2020. Nuclear Power Plant or Solar Power Plant. In: Awwad N (ed) Nuclear Power Plants - The Processes from the Cradle to the Grave. IntechOpen, Landon.
  31. Najafi, G., Ghobadian, B., Yusaf, T., and Rahimi, H., 2007. Combustion analysis of a CI engine performance using waste cooking biodiesel fuel with an artificial neural network aid. American Journal of Applied Sciences, 4(10), pp.756–764.
  32. Mat Yasin, M.H., Mamat, R., Najafi, G., Ali, O.M., Yusop, A.F., and Ali, M.H., 2017. Potentials of palm oil as new feedstock oil for a global alternative fuel: A review. Renewable and Sustainable Energy Reviews, 79, pp.1034–1049. Doi: 10.1016/J.RSER.2017.05.186
  33. Yin, Y., Liu, T., and He, C., 2019. Day-ahead stochastic coordinated scheduling for thermal-hydro-wind-photovoltaic systems. Energy, 187, pp.115944. Doi: 10.1016/J.ENERGY.2019.115944
  34. Mohammadi, M., Ghasempour, R., Razi Astaraei, F., Ahmadi, E., Aligholian, A., and Toopshekan, A., 2018. Optimal planning of renewable energy resource for a residential house considering economic and reliability criteria. International Journal of Electrical Power & Energy Systems, 96, pp.261–273. Doi: 10.1016/J.IJEPES.2017.10.017
  35. Bloem, J.J.J., Lodi, C., Cipriano, J., and Chemisana, D., 2012. An outdoor Test Reference Environment for double skin applications of Building Integrated PhotoVoltaic Systems. Energy and Buildings, 50, pp.63–73. Doi: 10.1016/j.enbuild.2012.03.023
  36. JMP. JNP. Jmpsolarpower 2017. (accessed February 15, 2018).
  37. Yan, J., Luo, G., Xiao, B., Wu, H., He, Z., and Cao, Y., 2015. Origin of high fill factor in polymer solar cells from semiconducting polymer with moderate charge carrier mobility. Organic Electronics, 24, pp.125–130. Doi: 10.1016/J.ORGEL.2015.05.034
  38. Abdolbaqi, M.K., Azmi, W.H., Mamat, R., Mohamed, N.M.Z.N., and Najafi, G., 2016. Experimental investigation of turbulent heat transfer by counter and co-swirling flow in a flat tube fitted with twin twisted tapes. International Communications in Heat and Mass Transfer, C(75), pp.295–302. Doi: 10.1016/J.ICHEATMASSTRANSFER.2016.04.021
  39. Graff, K.M., and Eng, B., 2014. Environmental Effects on the Operation of Triple-Junction Flexible Photovoltaic Panels, Doctoral dissertation, Carleton University, Ottawa. Doi: 10.22215/etd/2014-10332
  40. Milkey, K.R., Samsudin, A.R., Dubey, A.K. and Kidd, P., 2014. Comparison between Taguchi Method and Response Surface Methodology (RSM) in Modelling CO2 Laser Machining. JJMIE Jordan Journal of Mechanical and Industrial Engineering, 8(1), pp. 35-42.
  41. Schwab, B., and Lusztig, P., 1969. A Comparative Analysis of the Net Present Value and the Benefit-Cost Ratio as Measures of the Economic Desirability of Investments. The Journal of Finance, 24(3), pp. 507-516. Doi: 10.2307/2325349
  42. Bozorgparvar, E., Yazdanpanah, M., Forouzani, M., and Khosravipour, B., 2018. Cleaner and greener livestock production: Appraising producers’ perceptions regarding renewable energy in Iran. Journal of Cleaner Production, 203, pp.769–776. Doi: 10.1016/J.JCLEPRO.2018.08.280
  43. Singh, D.B., Tiwari, G.N., Al-Helal, I.M., Dwivedi, V.K., and Yadav, J.K., 2016. Effect of energy matrices on life cycle cost analysis of passive solar stills. Solar Energy, 134, pp.9–22. Doi: 10.1016/J.SOLENER.2016.04.039