Multisectoral and regional simulation data
datasetposted on 2016-01-01, 00:00 authored by RV Walker, O Heidrich
A quantitative approach to the analyse the urban metabolism of London. For this it uses the Multi-sectoral Systems Analysis (MSA) framework (Villarroel Walker et al., 2014). MSA is coupled with the Regionalised Sensitivity Analysis (RSA) to investigate and reveal the technological innovations and features of an urban system that have significant potential influence in achieving sustainability targets. This analysis can be referred to as a target-oriented analysis. In our present study for London, the focus is on targets associated with energy production, water use, and nutrient recovery. We Run different scenarios (combinations of the implementation of 4 technologies: UST, PSS, COW, and AWW) using multiroot.m. The simulation will produce time variant curves from 2010 to 2050, reflecting population change. Only LHS is run at this time. Plots are generated using LONplots.m for each scenario. Each scenario run is saved in a mat file and then recalled from the plotting procedure.
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Biochemical oxygen demandCarbonCoal combustion productsCarbohydrateCommercialChemical oxygen demandDigestible energyDry massDomesticResidentialEnergyFahrenheitGround waterHydrogenIndustrialMixed liquor suspended solidsMunicipal solid wasteNitrogenNatural gasOxygenOrganic materialPhosphorusSurface waterRecycling and reuseWastewater treatment plant