Abstract
Tamil Nadu, a state in India, has many households with loads between 1 kW and 2.5 kW and a single-phase power supply of 230V, 50Hz. The bi-monthly energy consumption of these categories of houses crosses the band of 500 units, which leads to the excess payment of energy consumption costs. To utilize the plenty of renewable energy available in this state, we conducted a feasibility analysis to develop the optimal solar PV system for these types of households using HOMER software. Over the years from 2016 to 2018, real-time data from 500 residences in Tirumangalam, Madurai District, Tamil Nadu, were gathered and utilized to design an optimal solar PV system for these households. On completion of the sensitivity analysis, the lowest Cost of Energy (COE), Net Present Cost (NPC), and Annual Operating and Maintenance Costs are $0.104, $158.36, and $4,389.76, respectively. An optimal 2kW on-grid Internet of Things (IoT)-based solar PV system is installed in 2019 for a residential building employed in the HOMER results, and the outcomes are compared to those without solar PV systems. It is been proven that adding a 2kW solar PV system leads to an average annual savings of $79.02 for the study period of 2019 to 2022.
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Abbreviations
- RES:
-
Renewable energy sources
- HES:
-
Hybrid energy system
- SG:
-
Smart grid
- SM:
-
Smart metering
- AMI:
-
Advanced metering infrastructure
- HPS:
-
Hybrid power system
- GHI:
-
Global horizontal irradiation
- PV:
-
Photo voltaic
- NREL:
-
National renewable energy laboratory
- COE:
-
Cost of energy
- O&M:
-
Operating and maintenance cost
- Whload :
-
Load in Watt-hour
- L:
-
Panel length
- B:
-
Breadth of the panel
- IoT:
-
Internet of things
- TERC:
-
Total emission reduction constraints
- A:
-
Area of the panel
- Cp :
-
Power coefficient
- CRF:
-
Recovery factor in capital
- Aintrinsic :
-
Panel intrinsic area
- LF:
-
Life time
- N:
-
Interest rate
- n0 :
-
Nominal rate of interest
- I:
-
Annual rate of inflation
- Ct, ann :
-
Annual total cost
- Ccapitalann :
-
Capital annual cost
- Eserved :
-
Electrical energy served
- CO2 :
-
Carbon dioxide
- SO2 :
-
Sulfur dioxide
- NO:
-
Nitrous oxide
- PI:
-
Profitability index
- TRNSYS:
-
Transient energy system simulation program
- ETPC:
-
Emission treatment penalty costs
- RET:
-
Renewable energy technology
- NSRD:
-
National solar radiation database
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Acknowledgements
The authors express their gratitude to the Thiagarajar College of Engineering (TCE) administration for helping us persist through the research-oriented work. Additionally, TCE's financial support for education through the Thiagarajar Research Fellowship scheme (File No. TRF/Jul-2022/01) is gratefully embraced.
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Nishanthy Jayasankar and Charles Raja Sathia Samuel involved in writing the manuscript. Venkatesh Paramasivam and Arockia Edwin Xavier Santiago contributed to case study and analysis. Suresh Muthusamy and Surya Kavitha Tirugatla involved in overall supervision.
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Jayasankar, N., Sathia Samuel, C.R., Paramasivam, V. et al. Techno-economic feasibility analysis of an on-grid IOT-based rooftop solar photovoltaic system for prosumers with a real-time implementation: a detailed case study and analysis using HOMER software. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02438-0
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DOI: https://doi.org/10.1007/s00202-024-02438-0