carbon-capture-sequestration
There are 9 repositories under carbon-capture-sequestration topic.
protontypes/continuous-reforestation
Make continuous reforestation part of your daily workflow :deciduous_tree:
openair-collective/openair-cyan
DIY small-scale open hardware direct air carbon capture device called Cyan. Our documentation is on https://openair-collective.github.io/openair-cyan
salmansust/CO2-Sequestration
Carbon Capture and Sequestration (CCS) has been proposed as a promising and necessary technology for mitigating CO2 and the effects of anthropogenic climate change. Deep geological formations, like saline aquifers, are pointed out as promising areas for large-scale storage of CO2. If CCS is implemented on large scale to make noticeable reductions in atmospheric CO2, then it will require a solid scientific foundation defining the coupled hydrologic–geochemical–geomechanical processes that govern the long-term fate of CO2 in the subsurface, migration behavior of CO2, trapping mechanisms, proper utilization of methods to characterize and select sequestration sites, workflow and evaluation process, simulation methods, subsurface engineering to optimize performance, well placement, injection rate and cost, approaches to ensure safe operation, monitoring technology, remediation methods, regulatory overview, and an institutional approach for managing long-term liability. To address the above issues, we demonstrated, reviewed and developed the overall workflow of the process of CO2 sequestration in this study.
act-elegancy/chain_tool
Optimization (MILP) and dynamic simulation frameworks for modelling hydrogen and CO2 process systems
BehrangShirizadeh/EOLES_mv
Multi-vector dispatch and investment model of the whole energy sector with endogenous representation of energy sources, carriers, storage options and end-use demand possibilities.
BehrangShirizadeh/EOLES_elec
Single-node dispatch and investment model for the power sector
Gourhari/README
Ph.D. in Theoretical and Computational Chemistry at IIT Kharagpur, PDRA-I at SNBNCBS, PDF-I at IIT Bombay, PDF-II at uOttawa, Visiting at UW
jp-alves/ml_basalts_ccs
Repository of scripts used to produce the results of the research paper: "Application of machine learning methods to forecast petrophysical properties in basalts of the Serra Geral Group: Implications for carbon storage"
kmsnggyn/CCS-energy-penalty
Lee-Kesler Equation of State, Multistage compression optimization, Energy penalty evaluation, Numerical Methods, MATLAB