According to reports, ChatGPT, a popular chatbot on OpenAI, may consume over 500000 kilowatt hours of electricity per day to respond to approximately 200 million requests from users. In contrast, American households use an average of about 29 kilowatt hours of electricity per day, which means that ChatGPT’s daily electricity consumption is more than 17000 times that of households. If generative AI is further adopted, it may consume more power. In a paper, data scientist Alex de Fries from the Dutch National Bank estimates that by 2027, the entire artificial intelligence industry will consume 85 to 134 terawatt hours of electricity per year (1 terawatt hour=1 billion kilowatt hours).
With the development of artificial intelligence technology, the demand for chips in the market has surged, driving a surge in electricity demand. According to relevant data, the global data center market consumed 10 billion watts of electricity ten years ago, but now the level of 100 billion watts is very common. According to the Uptime Institute in the United States, the proportion of artificial intelligence business in global data center electricity consumption will soar from 2% to 10% by 2025. The various innovations brought about by generative AI come at the cost of high processing performance and power consumption. Musk had predicted that in the next two years, there would be a transition from “silicon shortage” to “power shortage”, which could hinder the development of artificial intelligence. In his view, power shortages could have serious consequences, just like the recent chip shortage hindering the technology and automotiveindustries.
The prosperity of generative large models represented by artificial intelligence will bring faster development to the construction of intelligent computing centers. And high computing power often comes with high energy consumption. According to statistics, the total power consumption of data centers in China in 2022 is about 270 billion kilowatt hours, accounting for 3.1% of the total social electricity consumption, exceeding the annual power generation of two Three Gorges hydropower stations. It is an undeniable fact that the electricity consumption in the field of artificial intelligence is significantly increasing, regardless of whether the electricity demand is easy to calculate. With the development of artificial intelligence, the demand for electricity is expected to continue to increase. The high energy consumption of ChatGPT reflects the energy consumption pressure and environmental costs of the entire AI industry. The rapid development and application of AI technology also means rapid energy consumption and environmental damage.
Whether Subsequent development of AI lies in photovoltaic energy storage is a topic worth exploring. At present, the development of AI technology is indeed closely related to energy consumption, and photovoltaic and energy storage technologies are one of the important ways to solve the problem of energy consumption.
The development of AI technology requires a large amount of computing resources, which consume a lot of energy. With the continuous development of AI technology, energy consumption issues are becoming increasingly prominent. Therefore, how to reduce the energy consumption of AI technology has become an urgent problem to be solved. Photovoltaic energy storage can provide renewable and clean energy, while solar power generation can provide stable power support for AI technology without the need for grid power, thereby reducing energy consumption. Secondly, the advancement of solar photovoltaic power generation technology can also provide new opportunities for the development of AI technology. With the continuous development of photovoltaic and energy storage technologies, their costs continue to decrease and efficiency continues to improve, which expands their application scope. AI technology can utilize these technologies to develop more intelligent, efficient, and environmentally friendly application scenarios, such as smart homes, intelligent transportation, etc. However, to achieve a perfect combination of AI technology and photovoltaic energy storage technology, some technical and economic challenges still need to be overcome. For example, how to ensure the stability and reliability of photovoltaic energy storage systems, how to reduce their costs, how to effectively integrate them with AI technology, and so on.
In summary, further exploration and research are needed to determine whether Subsequent development of AI lies in photovoltaic energy storage. However, it can be affirmed that photovoltaic and energy storage technologies will be one of the important ways to solve the energy consumption problem of AI technology, and their application will also bring new opportunities and challenges to the development of AI technology.
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