
Carbon Capture Science & Technology, Journal Year: 2024, Volume and Issue: 13, P. 100323 - 100323
Published: Nov. 4, 2024
Language: Английский
Carbon Capture Science & Technology, Journal Year: 2024, Volume and Issue: 13, P. 100323 - 100323
Published: Nov. 4, 2024
Language: Английский
Journal of the American Chemical Society, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 7, 2025
Escalating carbon dioxide (CO2) emissions have intensified the greenhouse effect, posing a significant long-term threat to environmental sustainability. Direct air capture (DAC) has emerged as promising approach achieving net-zero future, which offers several practical advantages, such independence from specific CO2 emission sources, economic feasibility, flexible deployment, and minimal risk of leakage. The design optimization DAC sorbents are crucial for accelerating industrial adoption. Metal-organic frameworks (MOFs), with high structural order tunable pore sizes, present an ideal solution strong guest-host interactions under trace conditions. This perspective highlights recent advancements in using MOFs DAC, examines molecular-level effects water vapor on capture, reviews data-driven computational screening methods develop molecularly programmable MOF platform identifying optimal sorbents, discusses scale-up cost DAC.
Language: Английский
Citations
2Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116201 - 116201
Published: March 1, 2025
Language: Английский
Citations
1Sustainable Development, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 6, 2024
Abstract Artificial intelligence (AI) and environmental points are equally important components within the response to local weather change. Therefore, based on efforts of reducing carbon emissions more efficiently effectively, this study tries focus AI integration with capture technology. The urgency tackling climate change means we need advanced capture, is an area where can make a huge impact in how these technologies operated managed. It will minimize manufacturing improve both resource efficiency as well our planet's footprint by turning waste into something value again. could be leveraged analyze data sets from plants, searching for optimal system settings efficient ways identifying patterns available information at larger scale than currently possible. In addition, incorporated sensors monitoring mechanisms supply chain identify any operational failure reception itself allowing timely action protect those areas. also helps generative design materials, which allows researchers explore new types carbon‐absorbing material, including metal–organic frameworks polymeric materials that industrial CO 2 , such moisture. it increases accuracy reservoir simulations controls injection systems storage or enhanced oil recovery. Through applying algorithms geology, production performance real‐time would like facilitate optimization processes while assuring maximum efficiency. integrates renewable‐based employed AI‐driven smart grid methods.
Language: Английский
Citations
7Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131729 - 131729
Published: Jan. 1, 2025
Language: Английский
Citations
0Carbon Capture Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100393 - 100393
Published: Feb. 1, 2025
Language: Английский
Citations
0Applied Energy, Journal Year: 2025, Volume and Issue: 388, P. 125666 - 125666
Published: March 10, 2025
Language: Английский
Citations
0Energy, Journal Year: 2024, Volume and Issue: 299, P. 131376 - 131376
Published: May 3, 2024
Language: Английский
Citations
3Fuel, Journal Year: 2024, Volume and Issue: 372, P. 132279 - 132279
Published: June 22, 2024
Language: Английский
Citations
0Carbon Capture Science & Technology, Journal Year: 2024, Volume and Issue: 13, P. 100323 - 100323
Published: Nov. 4, 2024
Language: Английский
Citations
0