Design, Performance and Economic evaluation of a 4kW Grid-interactive Solar PV Rooftop in Odisha using Pvsyst

Renu Yadav; Anamol Gautam; Palraj Pradeepa

doi:10.52756/10.52756/ijerr.2023.v31spl.010

Renu Yadav Department of Electronics and Communication Engineering, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India https://orcid.org/0009-0002-5786-7898
Anamol Gautam Department of Electrical Engineering, Chandigarh Engineering College, Jhanjeri, India https://orcid.org/0000-0003-0852-8371
Palraj Pradeepa Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Ramanagar, Karnataka, India https://orcid.org/0000-0003-3869-1364

DOI: https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.010

Keywords: Economic analysis, Grid interactive photovoltaic system, Losses, Performance Ratio, PVsyst simulation tool

Abstract

The global decline of fossil fuels has required the development of alternative energy sources to satisfy the electricity demand. This article assesses and inaugurated the viability of grid-interactive photovoltaic systems providing electricity to a residential load. Since the average solar irradiation in Odisha is 1156.39 W/m2, a 4-kW rooftop solar photovoltaic system can produce 17.8 kWh of electricity per day (5.5 sunshine hours). Carbon Dioxide (CO₂) emissions are reduced by 113 tonnes for every 4 kWp produced, which is equal to planting 181 trees. This 4kW device is analyzed with a PVsyst (V7) program for a residential load consumption of kWh/day. The device consists of 16 photovoltaic modules, each with a 320 Wp value, that are arranged in two strings of eight modules each. The efficacy of the photovoltaic arrays, surplus energy pumped into the grid, usable AC energy, efficiency ratio, and various losses occurring in the photovoltaic system are all evaluated in the simulation outcome. The paper promotes using photovoltaic systems as a cost-effective and environmentally friendly energy source.

References

Alrawi, O. F., Al-Siddiqi, T., Al-Muhannadi, A., Al-Siddiqi, A., & Al-Ghamdi, S. G. (2022). Determining the influencing factors in the residential rooftop solar photovoltaic systems adoption: Evidence from a survey in Qatar. Energy Reports, 8, 257 -262. https://doi.org/10.1016/j.egyr.2022.01.064

Belmahdi, B., & Bouardi, A. El. (2020). Solar Potential Assessment using PVsyst Software in the Northern Zone of Morocco. Procedia Manufacturing, 46, 738-745. https://doi.org/10.1016/j.promfg.2020.03.104

Chauhan, S., & Singh, B. (2022). Utility intertie multi-photovoltaic-inverters-based microgrid control for solar rooftop. IET Energy Systems Integration, 4(2), 247 - 266. https://doi.org/10.1049/esi2.12058

Chiteka, K., Arora, R., Sridhara, S. N., & Enweremadu, C. C. (2020). Numerical investigation of soiling of multi-row rooftop solar PV arrays. International Journal of Energy and Environmental Engineering, 11(4), 439 - 458. https://doi.org/10.1007/s40095-020-00344-2

Das, B., & Kumar, A. (2022). An Analytical Study to Determine Performance and Economic Benefits of the Grid-Interactive Rooftop Solar Power Plants. Lecture Notes in Electrical Engineering, pp. 397 to 405. https://doi.org/10.1007/978-981-16-7472-3_32

Dey, D., & Subudhi, B. (2020). Design, simulation and economic evaluation of 90 kW grid connected Photovoltaic system. Energy Reports, 6, 1778 to 1787. https://doi.org/10.1016/j.egyr.2020.04.027

Halim, D. K., & Wahyuni, A. (2022). Feasibility of rooftop solar PV program for 9 tourism villages towards green village development in Bali. IOP Conference Series: Earth and Environmental Science, 1027(1), 012030. https://doi.org/10.1088/1755-1315/1027/1/012030

Hong, T., Lee, M., Koo, C., Jeong, K., & Kim, J. (2017). Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis. Applied Energy, 194, 320 to 332. https://doi.org/10.1016/j.apenergy.2016.07.001

Kandasamy, C. P., Prabu, P., & Niruba, K. (2013). Solar potential assessment using PVSYST software. Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy, ICGCE 2013. https://doi.org/10.1109/ICGCE.2013.6823519

Kappagantu, R., Daniel, S. A., & Venkatesh, M. (2015). Analysis of Rooftop Solar PV System Implementation Barrier in Puducherry Smart Grid Pilot Project. Procedia Technology, 21, 490-497. https://doi.org/10.1016/j.protcy.2015.10.033

Karki, P., Adhikary, B., & Sherpa, K. (2012). Comparative study of grid-tied photovoltaic (PV) system in Kathmandu and Berlin using PVsyst. IEEE International Conference on Sustainable Energy Technologies, ICSET. https://doi.org/10.1109/ICSET.2012.6357397

Koko, S. P. (2022). Optimal battery sizing for a grid-tied solar photovoltaic system supplying a residential load: A case study under South African solar irradiance. Energy Reports, 8, 410 - 418. https://doi.org/10.1016/j.egyr.2022.02.183

Kumar, N. M., Kumar, M. R., Rejoice, P. R., & Mathew, M. (2017). Performance analysis of 100 kWp grid connected Si-poly photovoltaic system using PVsyst simulation tool. Energy Procedia, 117, 180 -189. https://doi.org/10.1016/j.egypro.2017.05.121

Lee, M., & Hong, T. (2019). Hybrid agent-based modeling of rooftop solar photovoltaic adoption by integrating the geographic information system and data mining technique. Energy Conversion and Management, 183, 266 -279. https://doi.org/10.1016/j.enconman.2018.12.096

Lee, M., Hong, T., Jeong, K., & Kim, J. (2018). A bottom-up approach for estimating the economic potential of the rooftop solar photovoltaic system considering the spatial and temporal diversity. Applied Energy, 232, 640 - 656. https://doi.org/10.1016/j.apenergy.2018.09.176

Lopez-Ruiz, H. G., Blazquez, J., & Vittorio, M. (2020). Assessing residential solar rooftop potential in Saudi Arabia using nighttime satellite images: A study for the city of Riyadh. Energy Policy, 140, 111399. https://doi.org/10.1016/j.enpol.2020.111399

Mandi, R. P. (2018). Grid interactive rooftop solar PV power plant for educational institute. Proceedings of the 2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017. https://doi.org/10.1109/SmartTechCon.2017.8358609

Minai, A. F., Usmani, T., Alotaibi, M. A., Malik, H., & Nassar, M. E. (2022). Performance Analysis and Comparative Study of a 467.2 kWp Grid-Interactive SPV System: A Case Study. Energies. https://doi.org/10.3390/en15031107

Prajapat, M., RajPahar, B., & Shakya, S. R. (2021). Analysis of Grid Tied Solar Rooftop System: A Case Study on Stars Homes, Sitapaila, Nepal. Journal of Advanced College of Engineering and Management, 6, 61-74. https://doi.org/10.3126/jacem.v6i0.38319

Putranto, L. M., Widodo, T., Indrawan, H., Ali Imron, M., & Rosyadi, S. A. (2022). Grid parity analysis: The present state of PV rooftop in Indonesia. Renewable Energy Focus, 40, 23 - 38. https://doi.org/10.1016/j.ref.2021.11.002

Rabuya, I., Libres, M., Abundo, M. L., & Taboada, E. (2021). Moving up the electrification ladder in off-grid settlements with rooftop solar microgrids. Energies, 14(12), 3467. https://doi.org/10.3390/en14123467

Rout, K. C., & Kulkarni, P. S. (2020). Design and Performance evaluation of Proposed 2 kW Solar PV Rooftop on Grid System in Odisha using PVsyst. 2020 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2020. https://doi.org/10.1109/SCEECS48394.2020.124

Saxena, G., & Gidwani, D. L. (2018). Estimation of energy production of grid connected rooftop solar photovoltaic system at Nagar Nigam Kota, Rajasthan. 3rd International Conference on Innovative Applications of Computational Intelligence on Power, Energy and Controls with Their Impact on Humanity, CIPECH 2018. https://doi.org/10.1109/CIPECH.2018.8724134

Shilpa, S., & Sridevi, H. (2019). Optimum design of Rooftop PV System for An Education Campus Using HOMER. 2019 Global Conference for Advancement in Technology, GCAT 2019. https://doi.org/10.1109/GCAT47503.2019.8978446

Shiva Kumar, B., & Sudhakar, K. (2015). Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India. Energy Reports, 1, 184 to 192. https://doi.org/10.1016/j.egyr.2015.10.001

Simshauser, P. (2022). Rooftop solar PV and the peak load problem in the NEM’s Queensland region. Energy Economics, 109, 106002. https://doi.org/10.1016/j.eneco.2022.106002

Singh, K., & Rizwan, M. (2022). Performance Analysis of Solar PV Modules with Dust Accumulation for Indian Scenario. 2022 IEEE 10th Power India International Conference, PIICON 2022. https://doi.org/10.1109/PIICON56320.2022.10045127

Sinha, A., & Ranjan, A. (2021). Rooftop solar PV projects-saviour of Discoms or vicious cycle of death. In Water and Energy International.

Song, X., Huang, Y., Zhao, C., Liu, Y., Lu, Y., Chang, Y., & Yang, J. (2018). An approach for estimating solar photovoltaic potential based on rooftop retrieval from remote sensing images. Energies, 11(11), 3172. https://doi.org/10.3390/en11113172

Yadav, P., Kumar, N., & Chandel, S. S. (2015). Simulation and performance analysis of a 1kWp photovoltaic system using PVsyst. 4th IEEE Sponsored International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2015. https://doi.org/10.1109/ICCPEIC.2015.7259481

Yadav, S. K., Kumar, N. M., & Bajpai, U. (2023). Quantitative impact assessment of temperature on the economics of a rooftop solar photovoltaic system. Environmental Science and Pollution Research, 30(8), 21900 - 21913. https://doi.org/10.1007/s11356-022-23592-7