Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Sai Gokul, Subraveti"'
Publikováno v:
Environmental Science & Technology (Washington), 57(6)
Carbon capture and storage (CCS) is an essential technology to mitigate global CO2 emissions from power and industry sectors. Despite the increasing recognition of its importance to achieve the net-zero target, current CCS deployment is far behind ta
This article presents the capabilities of machine learning in addressing the challenges related to the accurate description of adsorption equilibria in the design of chromatographic processes. Our previously developed physics-based artificial neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c778a7eae96a25ea0e5c2f5563acb38
https://doi.org/10.26434/chemrxiv-2022-17k83-v2
https://doi.org/10.26434/chemrxiv-2022-17k83-v2
Publikováno v:
PESA News.
Carbon capture and storage (CCS) is an essential technology to mitigate global CO2 emissions from power and industry sectors. Despite the increasing recognition of its importance to achieve the net-zero target, current CCS deployment is far behind ta
Autor:
Sean P. Collins, Mykhaylo Krykunov, Tom K. Woo, Sai Gokul Subraveti, Kasturi Nagesh Pai, Thomas Burns, Arvind Rajendran
Publikováno v:
Environmental Science & Technology. 54:4536-4544
Postcombustion CO2 capture and storage (CCS) is a key technological approach to reducing greenhouse gas emission while we transition to carbon-free energy production. However, current solvent-based CO2 capture processes are considered too energetical
Autor:
Bhubesh Murugappan Balasubramaniam, Sai Gokul Subraveti, Rahul Anantharaman, Arvind Rajendran, Luca Riboldi, Simon Roussanaly
Publikováno v:
SSRN Electronic Journal.
Autor:
Yongliang Yan, Sai Gokul Subraveti, Kasturi Nagesh Pai, Junyu You, Lijuan Wang, Jude Odianosen Asibor, Vasilije Manovic, Tohid N. Borhani, Meihong Wang, William Ampomah, Wenbiao Zhang, Arvind Rajendran, Zhien Zhang, Edward J. Anthony, Paula Nkulikiyinka, Peter T. Clough, Yong Yan, Ding Shao, Vinay Prasad
Carbon capture, utilisation and storage (CCUS) will play a critical role in future decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of climate change. Whilst there are many well developed CCUS technologies th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22ed439354d3a1656c2ab8eb0f9adbe6
https://eprints.whiterose.ac.uk/187308/1/d1ee02395k.pdf
https://eprints.whiterose.ac.uk/187308/1/d1ee02395k.pdf
A computationally faster and reliable modelling approach called a physics-based artificial neural network framework for adsorption and chromatography emulation (PANACHE) is developed. PANACHE uses deep neural networks for cycle synthesis and simulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0df58391dc7cea0e3f56c6baedaee208
https://doi.org/10.26434/chemrxiv-2021-lm2sl
https://doi.org/10.26434/chemrxiv-2021-lm2sl
Publikováno v:
Industrial & Engineering Chemistry Research. 58:20412-20422
The transient, cyclic nature and flexibility in process design make the optimization of pressure swing adsorption (PSA) computationally intensive. Two hybrid approaches incorporating machine learni...
Autor:
Thomas D, Burns, Kasturi Nagesh, Pai, Sai Gokul, Subraveti, Sean P, Collins, Mykhaylo, Krykunov, Arvind, Rajendran, Tom K, Woo
Publikováno v:
Environmental sciencetechnology. 54(7)
Postcombustion CO
Publikováno v:
Applied Energy. 306:117955
This paper focuses on identifying the cost limits of two single-stage pressure–vacuum swing adsorption (PVSA) cycles for post-combustion CO 2 capture if the “ideal” zero-cost adsorbent can be discovered. Through an integrated techno-economic op