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New Study Validates CSP Plant Efficiency for Round-the-Clock Renewable Energy

A recent article published in Scientific Reports has explored the potential of a hybrid solar power plant capable of generating 1 MWe of electricity. The researchers assessed the feasibility and efficiency of combining advanced solar technology with nanofluids and an energy backup system to enhance sustainable energy production. They highlighted the increasing importance of renewable energy, especially solar power, as a practical alternative to fossil fuels for meeting global energy needs and addressing climate change.

CSP system

Image Credit: Joseph Creamer/Shutterstock.com

Advancements in Solar Power

In recent years, concentrated solar power systems (CSP) have attracted significant attention for their ability to provide reliable, renewable energy. They use mirrors or lenses to concentrate sunlight onto a small area, producing heat converted into electricity.

CSP plants typically use the Rankine cycle, a thermodynamic process that transforms heat into mechanical energy to produce power. Variants like the Organic Rankine Cycle (ORC) and cascade Rankine cycle are especially effective for converting solar energy into electricity. Efficiency can be further increased by optimizing the tilt angle of the collectors and using advanced working fluids, such as nanofluids.

Simulation of the Hybrid Solar Power Plant

In this paper, the authors simulated a 1 MWe hybrid solar power plant using parabolic trough collectors (PTC) and linear Fresnel reflectors (LFR) to generate steam at 40 MPa. The system employed a nanofluid made from aluminum oxide (Al₂O₃) and water as the working fluid to enhance solar collector performance. Based on solar radiation data, the simulation analyzed the hybrid plant's ability to provide power throughout the year.

The study used monthly average hourly solar radiation data from the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Handbook in a solar radiation model to calculate the optimal tilt angle for maximum sunlight absorption. The PTC preheated the working fluid in the plant setup, which then entered the LFR field for further heating. The resulting superheated steam was then used to drive a turbine connected to a generator to produce electricity. The PTC array comprised 650 units covering 2844 m², while the LFR field included 25 reflector units over 3750 m². The Rankine cycle, designed with pressure limits of 4 MPa and 0.101 MPa, included multiple heat exchangers to transfer energy from solar collectors to the Rankine cycle.

The researchers assumed an overall efficiency of 90% for all energy transfer and conversion units (heat exchangers, turbines, and generators), constant working fluid properties at each device's inlet, and saturated liquid water at 100 °C at the condenser outlet. Throughout the year, they simulated for six hours daily, from 10:00 AM to 4:00 PM. A molten salt energy storage system provided backup power during nighttime and cloudy conditions.

Key Findings and Insights

The outcomes showed that the hybrid solar power plant consistently generated 1 MWe annually. The highest turbine inlet temperature was 418.13 °C during the 12:00-13:00 period in January, with the lowest output of 1.01 MWe observed in November from 10:00-11:00. The peak output reached 1.57 MWe in December from 11:00-12:00. The Rankine cycle’s overall efficiency reached 21.25% in January.

PTC and LFR fields effectively produced superheated steam, with maximum temperatures of 326.65 °C and 425.43 °C, respectively. The authors observed seasonal variations in the performance, with the highest efficiencies for both the steam turbine and Rankine cycle in January and the lowest in November.

The temperature and energy output of the solar collectors generally increased from morning to noon and gradually declined toward the evening. The energy backup system reduced losses and maintained reliable power during cloudy periods, with a control valve regulating molten salt flow to meet energy demands.

Applications

This research has significant implications for advancing efficient and reliable solar power plants. Nanofluids significantly increased the thermal efficiency of CSP systems, enabling large-scale electricity generation. The hybrid PTC and LFR setup and optimized tilt angles maximized energy absorption and output.

Adding an energy storage system further enhances reliability, making this design cost-effective and suitable for continuous operation. This hybrid solar power plant model can be adapted for locations with similar climates, offering a robust and efficient renewable energy source for residential and industrial use.

Conclusion

The study demonstrated the feasibility of a 1 MWe hybrid solar power plant using nanofluids and an innovative backup system. It showed high efficiency and reliable power generation year-round. These findings support efforts to reduce carbon emissions and promote sustainable energy in alignment with the Paris Climate Agreement.

Future work should explore higher volumetric concentrations of nanofluids to further boost performance and assess the economic feasibility of scaling up such systems. Overall, the findings pave the way for advanced solar power technologies that can meaningfully impact the global energy landscape.

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Source:

Qadeer, A., Parvez, M., Khan, O. et al. Simulation of 1 MWe hybrid solar power plant by the use of nano-fluid with eccentric backup system. Sci Rep 14, 24794 (2024). DOI: 10.1038/s41598-024-75041-9, https://www.nature.com/articles/s41598-024-75041-9

Muhammad Osama

Written by

Muhammad Osama

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence.

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