All solar panel technologies that exist and which are more efficient, in a graph that goes 1975 until today

The fastest energy transition in history is not the industrial revolution, as many think, but the one that is happening now With renewable energies. Renewables are being installed at a rate five times greater than all other combined energy sources. And although the great habilitator is the worldwide commitment to zero net emissions, it is the brutal evolution of solar panels that has allowed to reach this point. Photovoltaic panels have been so much that solar energy Start leaving wind energytraditionally more efficient. Throughout the last decades, solar cells have experienced a radical transformation, driven both by advances in material engineering and in innovations in manufacturing techniques; mainly from the Chinese industry, although Japan is trying to lead The next generation. The National Renewable Energies Laboratory (NREL) has Published a graph that illustrates at a glance How each photovoltaic technology has advanced since the 70s and which cells are more efficient today. Traditional cells: crystalline silicon Crystalline silicon cells The crystalline solar cells of silicon (blue in the graph) have dominating the market for several decades. The polyristaline silicon (the one used in solar panels with bluish crystals) is cheaper, but monochronic silicon (with black crystals) is the current standard of the industry thanks to continuous improvements in purification and production processes, which have approached their efficiency to an ability to convert 27.6% of sunlight into energy. Thin film technologies (green in the graph) emerged as an alternative to the crystalline silicon for facilities that require greater flexibility, lower weight or a large -scale manufacturing. The most efficient thin film cells are currently those of copper, Indian, Gallic and Selenium (CIGS) with an efficiency of 23.6%, closely followed by those of cadmium teluro (CDTE). The emerging: organic and perovskitas Emerging technologies cells Red in the graph, they are the photovoltaic cells that have tried to remove the throne from the silicon. Organic cells and coloring sensitized cells (DSSC) use organic compounds to absorb light. Its efficiency is modest (around 19%), but they have the advantage of their low cost and the possibility of integrating them into flexible devices and buildings with varied colors. One of the most revolutionary innovations in recent years has been the development of Perovskita cells (red with yellow filling in the graph). Thanks to its crystalline structure inspired by the mineral of the same name, these cells have been achieving exponential increases in efficiency in a short time, even if they were invented in Japan in the 80s. Perovskita cells are already as efficient as silicon, with an efficiency of 27%, but they have the problem of degrading much earlier. The tandem, the best of both worlds Tandem two materials cells The photovoltaic cells that make up silicon and perovskita in tandem are the most promising for generalized use today. The secret of combining both materials is that the upper perovskita layer absorbs high -energy wavelengths and the lower silicon layer captures the rest of the spectrum. With an efficiency of 36.1%, Tandem cells (brown in the graph) have left behind the theoretical limit of traditional silicon cells (33.7%). Although in the laboratories we still try to look for alternatives to the silicon, which is a more expensive material and with a supply chain controlled by China. All photovoltaic cells and their evolution By the latter, triple or more layers (multijunction) unions are the cells that have reached the greatest efficiencies in laboratory conditions: up to 47.6%. Its cost is high and its production is complex, but these cells are useful in solar concentrators, where maximum performance is sought. Images | NREL

How the perception of your arrival varies depending on the country, explained in a graph

Seeing the vertiginous rate at which it is evolving artificial intelligence, it is difficult to look back to realize that, just over two years ago, all that technology did not exist. The rapid evolution of AI models and the wide range of uses that are being given to them is making them obsolete all forecastsand increases the fear that, sooner rather than later, a AI can replace humans in their jobs. The impact of AI on employment according to experts The Report ‘The Future of Jobs Report 2025’which the World Economic Forum prepares every year for its meeting in Davos, has put figures at the impact of AI on the labor market. According to this report, it is expected that by 2030, the process automation that AI will facilitate, will generate the destruction of some 92 million jobs. The majority of these positions will be administrative, financial management, cashier or telephone service personnel positions, which will be replaced by specialized AI systems or AI agents. On the other hand, the same study indicates that the arrival of AI in the workplace will generate 170 million new jobs in professions that They are already beginning to emerge and many others that do not yet exist. However, these are the data provided by economic specialists and technology analysts. But what does the population really think about the impact of AI on employment? a study prepared by Ipsos in 33 countries, asked 23,721 citizens if they believe that artificial intelligence will generate new jobs in their country. The portal VisualCapitalist.com has collected all those answers and created a graph explanatory with them. Will AI create new jobs in your country? The Chinese were the most optimistic when answering this question, to which a 77% who believed that AI would create new jobscompared to 20% who thought that the arrival of AI would leave a negative balance in employment. China is all a superpower in AIso the development of your own chips and AI modelswill place them in a prominent position in the strategic career of this technology, which is why a large increase in the demand for professionals with technological profiles is expected in the coming years. The citizens of Indonesia and Thailand move along the same lines, who believe that the arrival of the will be positive for job creation in their countries. In the case of these two countries, optimism about the arrival of AI in the workplace is not given by their role in the development of this technology, but rather as countries large data center hosts who will need this technology. Microsoft has already announced a $1.7 billion investment in data infrastructure in Indonesia. It is striking that the United States, the country What more are you investing? in this technology, it fails to convince its citizens. 49% of those surveyed do not believe that AI will create new jobs in their country, compared to 36% who trust that it will. In Spain we are a little more optimistic with the forecast for the creation of new jobs. 38% of those surveyed in our country believe that it will be a positive factor for the labor market, compared to 48% who do not believe so. The results show that European countries are the most pessimistic regarding the arrival of artificial intelligence, highlighting Hungary with 65% of respondents disagreeing with the question about job creation, followed by Germany with 59% and a tie between Italy, Poland and Belgium with 58% of its citizens believing that AI will destroy more jobs of those who will create. This perception coincides, although to a lesser extent, with the global average, which is around 46% of the population perceiving that the arrival of AI will have a negative impact on the labor market, while 43% believe that arrival of AI will be positive. In Xataka | “I have three years of work left”: more and more AI managers believe that AI will end up taking their jobs Image | VisualCapitalist.com

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.