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Sweeping review reveals impact of integrating AI into photovoltaics

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Sweeping review reveals impact of integrating AI into photovoltaics


Sweeping review reveals impact of integrating AI into photovoltaics

by Simon Mansfield

Sydney, Australia (SPX) Jun 13, 2024






Artificial intelligence is set to enhance photovoltaic systems by improving efficiency, reliability, and predictability of solar power generation.

In their paper published on May 8 in CAAI Artificial Intelligence Research, a research team from Chinese and Malaysian universities examined the impact of artificial intelligence (AI) technology on photovoltaic (PV) power generation systems and their applications globally.



“The overall message is an optimistic outlook on how AI can lead to more sustainable and efficient energy solutions,” said Xiaoyun Tian from Beijing University of Technology. “By improving the efficiency and deployment of renewable energy sources through AI, there is significant potential to reduce global carbon emissions and to make clean energy more accessible and reliable for a broader population.”



The team, which included researchers from Beijing University of Technology, Chinese Academy of Sciences, Hebei University, and the Universiti Tunku Abdul Rahman, focused their review on key applications of AI in maximum power point tracking, power forecasting, and fault detection within PV systems.



The maximum power point (MPP) refers to the specific operating point where a PV cell or an entire PV array yields its peak power output under prevailing illumination conditions. Tracking and exploiting the point of maximum power by adjusting the operating point of the PV array to maximize output power is a critical issue in solar PV systems. Traditional methods have defects, resulting in reduced efficiency, hardware wear, and suboptimal performance during sudden weather changes.



The researchers reviewed publications showing how AI techniques can achieve high performance in solving the MPP tracking problem. They compiled methods that presented both single and hybrid AI methods to solve the tracking problem, exploring the advantages and disadvantages of each approach.



The team reviewed publications that presented AI algorithms applied in PV power forecasting and defect detection technologies. Power forecasting, which predicts the production of PV power over a certain period, is crucial for PV grid integration as the share of solar energy in the mix increases annually. Fault detection in PV systems can identify various types of failures, such as environmental changes, panel damage, and wiring failures. For large-scale PV systems, traditional manual inspection is almost impossible. AI algorithms can identify deviations from normal operating conditions that may indicate faults or anomalies proactively.



The research team compared AI-driven techniques, exploring and presenting advantages and disadvantages of each approach.



While integrating AI technology optimizes PV systems’ operational efficiency, new challenges continue to arise. These challenges are driven by issues such as revised standards for achieving carbon neutrality, interdisciplinary cooperation, and emerging smart grids.



The researchers highlighted some emerging challenges and the need for advanced solutions in AI, such as transfer learning, few-shot learning, and edge computing.



According to the paper’s authors, the next steps should focus on further research directed towards advancing AI techniques that target the unique challenges of PV systems; practical implementation of AI solutions into existing PV infrastructure on a wider scale; scaling up successful AI integration; developing supportive policy frameworks that encourage the use of AI in renewable energy; increasing awareness about the benefits of AI in enhancing PV system efficiencies; and ultimately aligning these technological advancements with global sustainability targets.



“AI-driven techniques are essential for the future development and widespread adoption of solar-energy technologies globally,” Tian said.



The research was supported by the National Key R and D Program of China and Fundamental Research Grant Scheme of Malaysia. The grants are part of the China-Malaysia Intergovernmental Science, Technology and Innovation Cooperative Program 2023.



Other contributors include Jiaming Hu, Kang Wang, and Dachuan Xu from Beijing University of Technology; Boon-Han Lim from Universiti Tunku Abdul Rahman; Feng Zhang from Hebei University; and Yong Zhang from Shenzhen Institute of Advanced Technology, Chinese Academy of Science.



Research Report:A Comprehensive Review of Artificial Intelligence Applications in Photovoltaic Systems


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Cheap and environmentally friendly – the next generation LEDs may soon be here

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Cheap and environmentally friendly – the next generation LEDs may soon be here


Cheap and environmentally friendly – the next generation LEDs may soon be here

by Anders Torneholm

Linkoping, Sweden (SPX) Mar 13, 2025






Cost, technical performance and environmental impact – these are the three most important aspects for a new type of LED technology to have a broad commercial impact on society. This has been demonstrated by researchers at Linkoping University in a study published in Nature Sustainability.

“Perovskite LEDs are cheaper and easier to manufacture than traditional LEDs, and they can also produce vibrant and intense colours if used in screens. I’d say that this is the next generation of LED technology,” says Feng Gao, professor of optoelectronics at Linkoping University.



However, for a technological shift to take place, where today’s LEDs are replaced with those based on the material perovskite, more than just technical performance is required. That is why Feng Gao’s research group has collaborated with Professor Olof Hjelm and John Laurence Esguerra, assistant professor at LiU. They specialise in how innovations contributing to environmental sustainability can be introduced to the market.



Together, they have investigated the environmental impact and cost of 18 different perovskite LEDs, knowledge that is currently incomplete. The study was conducted using so-called life cycle assessment and techno-economic assessment.



Such analyses require a clear system definition – that is, what is included and not in terms of cost and environmental impact. Within this framework, what happens from the product being created until it can no longer be used is investigated. The life cycle of the product, from cradle to grave, can be divided into five different phases: raw material production, manufacturing, distribution, use and decommissioning.

“We’d like to avoid the grave. And things get more complicated when you take recycling into account. But here we show that it’s most important to think about the reuse of organic solvents and how raw materials are produced, especially if they are rare materials,” says Olof Hjelm.



One example where the life cycle analysis provides guidance concerns the small amount of toxic lead found in perovskite LEDs. This is currently necessary for the perovskites to be effective. But, according to Olof Hjelm, focusing only on lead is a mistake. There are also many other materials in LEDs, such as gold.



“Gold production is extremely toxic. There are byproducts such as mercury and cyanide. It’s also very energy-consuming,” he says.



The greatest environmental gain would instead be achieved by replacing gold with copper, aluminium or nickel, while maintaining the small amount of lead needed for the LED to function optimally.



The researchers have concluded that perovskite LEDs have great potential for commercialisation in the long term. Maybe they can even replace today’s LEDs, thanks to lower costs and less environmental impact. The big issue is longevity. However, the development of perovskite LEDs is accelerating and their life expectancy is increasing. The researchers believe that it needs to reach about 10,000 hours for a positive environmental impact, something they think is achievable. Today, the best perovskite LEDs last for hundreds of hours.



Muyi Zhang, PhD student at the Department of Physics, Chemistry and Biology at LiU, says that much of the research focus so far is on increasing the technical performance of LED, something he believes will change.



“We want what we develop to be used in the real world. But then, we as researchers need to broaden our perspective. If a product has high technical performance but is expensive and isn’t environmentally sustainable, it may not be highly competitive in the market. That mindset will increasingly come to guide our research.”



Research Report:Towards sustainable perovskite light-emitting diodes


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Making solar projects cheaper and faster with portable factories

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Making solar projects cheaper and faster with portable factories


Making solar projects cheaper and faster with portable factories

by Zach Winn | MIT News

Boston MA (SPX) Mar 13, 2025






As the price of solar panels has plummeted in recent decades, installation costs have taken up a greater share of the technology’s overall price tag. The long installation process for solar farms is also emerging as a key bottleneck in the deployment of solar energy.

Now the startup Charge Robotics is developing solar installation factories to speed up the process of building large-scale solar farms. The company’s factories are shipped to the site of utility solar projects, where equipment including tracks, mounting brackets, and panels are fed into the system and automatically assembled. A robotic vehicle autonomously puts the finished product – which amounts to a completed section of solar farm – in its final place.



“We think of this as the Henry Ford moment for solar,” says CEO Banks Hunter ’15, who founded Charge Robotics with fellow MIT alumnus Max Justicz ’17. “We’re going from a very bespoke, hands on, manual installation process to something much more streamlined and set up for mass manufacturing. There are all kinds of benefits that come along with that, including consistency, quality, speed, cost, and safety.”



Last year, solar energy accounted for 81 percent of new electric capacity in the U.S., and Hunter and Justicz see their factories as necessary for continued acceleration in the industry.



The founders say they were met with skepticism when they first unveiled their plans. But in the beginning of last year, they deployed a prototype system that successfully built a solar farm with SOLV Energy, one of the largest solar installers in the U.S. Now, Charge has raised $22 million for its first commercial deployments later this year.

From surgical robots to solar robots

While majoring in mechanical engineering at MIT, Hunter found plenty of excuses to build things. One such excuse was Course 2.009 (Product Engineering Processes), where he and his classmates built a smart watch for communication in remote areas.

After graduation, Hunter worked for the MIT alumni-founded startups Shaper Tools and Vicarious Surgical. Vicarious Surgical is a medical robotics company that has raised more than $450 million to date. Hunter was the second employee and worked there for five years.



“A lot of really hands on, project-based classes at MIT translated directly into my first roles coming out of school and set me up to be very independent and run large engineering projects,” Hunter says, “Course 2.009, in particular, was a big launch point for me. The founders of Vicarious Surgical got in touch with me through the 2.009 network.”



As early as 2017, Hunter and Justicz, who majored in mechanical engineering and computer science, had discussed starting a company together. But they had to decide where to apply their broad engineering and product skillsets.



“Both of us care a lot about climate change. We see climate change as the biggest problem impacting the greatest number of people on the planet,” Hunter says. “Our mentality was if we can build anything, we might as well build something that really matters.”



In the process of cold calling hundreds of people in the energy industry, the founders decided solar was the future of energy production because its price was decreasing so quickly.



“It’s becoming cheaper faster than any other form of energy production in human history,” Hunter says.



When the founders began visiting construction sites for the large, utility-scale solar farms that make up the bulk of energy generation, it wasn’t hard to find the bottlenecks. The first site they traveled to was in the Mojave Desert in California. Hunter describes it as a massive dust bowl where thousands of workers spent months repeating tasks like moving material and assembling the same parts, over and over again.



“The site had something like 2 million panels on it, and every single one was assembled and fastened the same way by hand,” Hunter says. “Max and I thought it was insane. There’s no way that can scale to transform the energy grid in a short window of time.”



Hunter says he heard from each of the largest solar companies in the U.S. that their biggest limitation for scaling was labor shortages. The problem was slowing growth and killing projects.



Hunter and Justicz founded Charge Robotics in 2021 to break through that bottleneck. Their first step was to order utility solar parts and assemble them by hand in their backyards.



“From there, we came up with this portable assembly line that we could ship out to construction sites and then feed in the entire solar system, including the steel tracks, mounting brackets, fasteners, and the solar panels,” Hunter explains. “The assembly line robotically assembles all those pieces to produce completed solar bays, which are chunks of a solar farm.”



Each bay represents a 40-foot piece of the solar farm and weighs about 800 pounds. A robotic vehicle brings it to its final location in the field. Hunter says Charge’s system automates all mechanical installation except for the process of pile driving the first metal stakes into the ground.



Charge’s assembly lines also have machine-vision systems that scan each part to ensure quality, and the systems work with the most common solar parts and panel sizes.

From pilot to product

When the founders started pitching their plans to investors and construction companies, people didn’t believe it was possible.



“The initial feedback was basically, ‘This will never work,'” Hunter says. “But as soon as we took our first system out into the field and people saw it operating, they got much more excited and started believing it was real.”



Since that first deployment, Charge’s team has been making its system faster and easier to operate. The company plans to set up its factories at project sites and run them in partnership with solar construction companies. The factories could even run alongside human workers.



“With our system, people are operating robotic equipment remotely rather than putting in the screws themselves,” Hunter explains. “We can essentially deliver the assembled solar to customers. Their only responsibility is to deliver the materials and parts on big pallets that we feed into our system.”



Hunter says multiple factories could be deployed at the same site and could also operate 24/7 to dramatically speed up projects.



“We are hitting the limits of solar growth because these companies don’t have enough people,” Hunter says. “We can build much bigger sites much faster with the same number of people by just shipping out more of our factories. It’s a fundamentally new way of scaling solar energy.”



Video: “Charge Robotics Sunrise fully autonomous solar construction system”


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Hybrid Transparent Electrodes Boost Efficiency and Lifespan of Perovskite Solar Cells

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Hybrid Transparent Electrodes Boost Efficiency and Lifespan of Perovskite Solar Cells


Hybrid Transparent Electrodes Boost Efficiency and Lifespan of Perovskite Solar Cells

by Simon Mansfield

Sydney, Australia (SPX) Feb 21, 2025






Bifacial perovskite solar cells, known for their ability to capture sunlight from both the front and rear surfaces, have taken a significant step forward thanks to researchers at the Indian Institute of Technology (IIT) Dharwad. Their development of a novel NiO/Ag/NiO (NAN) hybrid transparent electrode has led to enhancements in efficiency, durability, and infrared transparency, opening new possibilities for solar energy applications.

A recent study published in the Journal of Photonics for Energy (JPE) details how the IIT Dharwad team designed and fabricated highly transparent bifacial solar cells utilizing a three-layer NAN electrode. This innovative structure, created using a low-energy physical vapor deposition method, resulted in an electrode with extremely low electrical resistance and high transmittance of visible light.



When incorporated into the bifacial solar cells, the NAN transparent electrode delivered impressive power conversion efficiencies (PCE), achieving 9.05% and 6.54% when exposed to light from different directions. The cells also exhibited a high bifaciality factor of 72%, demonstrating their effectiveness in utilizing light from both sides.



Beyond efficiency, these solar cells displayed exceptional durability, retaining 80% of their initial performance for over 1,000 hours without the need for protective encapsulation. Additionally, their ability to transmit substantial near-infrared light makes them suitable for applications such as thermal windows and advanced optoelectronic technologies.



With a thickness of less than 40 nm, the NAN electrode is particularly advantageous for integration into building materials and tandem solar cell systems. Senior researcher Dhriti Sundar Ghosh, an associate professor of physics at IIT Dharwad, emphasized the broad implications of their work, stating, “This study offers a blueprint for designing transparent electrodes in bifacial perovskite solar cells, paving the way for advancements in tandem devices, agrivoltaics, and automotive solar technologies.”



The findings reinforce the growing potential of bifacial perovskite solar cells in renewable energy solutions, contributing to the development of more efficient and adaptable solar power technologies.



Research Report:Hybrid top transparent electrode for infrared-transparent bifacial perovskite solar cells


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