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@msm-sardar msm-sardar released this 04 Oct 00:41
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JIE-Revision1
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Learn about vigilant mode.

Case study for SwolfPy
This case study was implemented to illustrate the functionality of SwolfPy for SWM system analysis. The case study first evaluated the global warming potential (GWP) of the SWM system in a hypothetical but realistic city and then used the optimization functionality to minimize the GWP and meet a landfill diversion target of 40%. Monte Carlo simulation was used to explore the robustness of the results to the uncertainty in input data.

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