Database for "Estimation of the Energy Recovery and Emission Potential of Typically Incinerated Norwegian Waste Classes"

A great challenge for waste-to-energy power plants is their uncertain and variable feedstock, which<br> can lead to the power plants not being run as efficiently as possible, leading to reduced energy<br> output and control of emissions. A way to describe the feedstock is to use surrogates. This is a<br> method where the hundreds or thousands of different species of a feedstock are modelled using a few<br> surrogate species, enabling the feedstock’s modelling. The surrogates also provide an estimation<br> of the HHV and the fraction of biomass, oil-based waste and inorganics.<br> This thesis formulated surrogates for waste classes typically incinerated, using a linear least-square<br> solution between available surrogate species and experimental values. Most of the species used<br> were from two existing models in the literature, but three new species were created to improve the<br> representation of some waste classes containing fossil-originated wastes, rubber and PET. These<br> were made by creating reactions based on experimental data from the literature and then testing<br> these reactions under pyrolysis conditions in a stochastic reactor model.<br> The surrogates for the waste classes were formulated by first dividing the waste into components<br> and then finding the surrogate formulation for each component. There were found surrogates<br> for 41 components, which were used to create the surrogate formulation for 30 waste classes. It<br> was found that most of the surrogates modelled the elemental composition accurately compared<br> to experimental values. A statistical overview of the experimental and model data for the waste<br> classes was also created. This overview is relevant for stakeholders in waste management and for<br> other research, such as life-cycle analysis.