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Jul 24, 06:27
AI data centers emerge as dynamic loads, posing new challenges for power grids
As generative AI adoption accelerates, AI data centers are becoming one of the fastest-growing sources of electricity demand worldwide. Unlike conventional data centers, however, AI facilities exhibit highly variable power consumption driven by intensive GPU workloads, creating new challenges for grid operators while raising the bar for the reliability of on-site power systems.
Sino-American Silicon Products (SAS) and United Renewable Energy (URECO) announced that they will jointly invest in establishing a solar module manufacturing company in the US, with plans to build a solar module plant with an annual capacity of 1 gigawatt (GW) to meet the surging power demand from artificial intelligence (AI) data centers.
Ainos said its AI Nose platform has collected more than 613 million industrial odor data points, with most of the readings coming from semiconductor manufacturing sites. The AI odor-sensing startup, backed by Advanced Semiconductor Engineering (ASE), said the expanding rollout is accelerating real-world data collection and strengthening its Smell Language Model as it builds a long-term Smell Intelligence Network.
As AI computing drives surging electricity demand and heat generation, Taiwan's government-funded Industrial Technology Research Institute (ITRI) brought together government officials and industry executives on July 21 for its "Semiconductor and AI Computing Sustainable Competitiveness Forum" to explore energy-saving solutions for AI infrastructure and semiconductor manufacturing.

China is dismantling the tax shelter that helped build the world's largest battery industry, and the move looks less like a one-off revenue measure than the opening of a broad campaign to force consolidation across its clean-energy supply chains — with consequences that reach from Chinese carmakers to global energy-storage buyers.

Taiwan's semiconductor supply chain is facing mounting pressure to secure enough green electricity as Apple and Google push suppliers to meet net-zero requirements. The strain is rippling from end customers to foundries such as TSMC and then through upstream and downstream vendors, raising fresh concerns over the island's ability to provide affordable and sufficient clean power.

Taiwan's solar manufacturers are looking beyond the island for growth as China's oversupplied solar sector keeps prices low, local approvals in Taiwan slow project rollouts, and global energy markets stay volatile. Their push highlights risks for global clean-power buyers, who still face cost pressure, grid constraints, and shifting technology priorities.

Taiwan lawmakers and Pegatron chairman Tung Tzu-hsien are stepping up calls for nuclear power to strengthen the island's energy resilience, while Academia Sinica said it currently lacks an in-house nuclear power research program but remains open to working with outside research teams.
South Korea's plan to develop a semiconductor cluster in the Honam region (Jeolla Province) is facing mounting scrutiny over whether the area can support the enormous energy and infrastructure requirements of advanced memory manufacturing.
As climate change fuels increasingly severe heat waves, Taiwan is stepping up efforts to combat heat-related illness by integrating artificial intelligence (AI), IoT sensors and social welfare services into a smart heat protection network to better protect vulnerable residents.
China's solar industry is still trapped in a painful shakeout after three straight years of losses across much of the supply chain, according to first-half reports from leading companies. Persistent overcapacity, weak downstream demand, and rising overseas barriers have left the sector under pressure, while investors are watching for signs that similar problems could spread to energy storage and new energy vehicles.
LG Energy Solution plans to establish a sodium-ion battery mother line at its Ochang Energy Plant in South Korea in 2026, seeking to narrow CATL's early commercial lead in energy storage systems.