Energy conversion - WITNESS: Difference between revisions
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As a matter of fact, the whole set of technologies on syngas is mostly used for transitioning from one primary form of energy to another more industrially usable one. | As a matter of fact, the whole set of technologies on syngas is mostly used for transitioning from one primary form of energy to another more industrially usable one. | ||
In the standard framework, usage of these models is part of the global net energy production investment optimization to maximize production and minimize emissions at available investment budget under resources constraints. | In the standard framework, usage of these models is part of the global net energy production investment optimization to maximize production and minimize emissions at available investment budget under resources constraints (taking into account cost to create & learn, operate & maintain, dismantle & recycle). | ||
Latest revision as of 16:39, 19 September 2024
Note: The documentation of WITNESS is 'in preparation' and is not yet 'published'!| Corresponding documentation | |
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| No previous version available | |
| Model information | |
| Model link | |
| Institution | Open-Source for Climate (OS-C), N/A, https://os-climate.org/transition-analysis/., Linux Foundation (LF), N/A, https://www.linuxfoundation.org/. |
| Solution concept | Systems dynamics based approach |
| Solution method | OptimizationSimulation-based optimization |
| Anticipation | |
All energy conversion in WITNESS is performed by energy models describing how to transform energy from a form to another form. Like all energy technology models, all these models include efficiency of transformation, energy consumption, investment/operation/dismantling costs with learning rates, resources limitations…
As a matter of fact, the whole set of technologies on syngas is mostly used for transitioning from one primary form of energy to another more industrially usable one.
In the standard framework, usage of these models is part of the global net energy production investment optimization to maximize production and minimize emissions at available investment budget under resources constraints (taking into account cost to create & learn, operate & maintain, dismantle & recycle).