Wastewater-based epidemiology could be applied to track down SARS-CoV-2 outbreaks at high spatio-temporal resolution and could potentially be used as an early-warning for emergence of SARS-CoV-2 circulation in the general population. Epidemiological surveillance of SARS-CoV-2 could play a role in monitoring the spread of the virus in the population and controlling possible outbreaks. However, sensitive sample preparation and detection methods are necessary to detect trace levels of SARS-CoV-2 RNA in influent wastewater (IWW). Unlike predecessors, method development of a SARS-CoV-2 RNA concentration and detection procedure was performed with IWW samples with high viral SARS-CoV-2 loads (in combination with seeding IWW with a surrogate coronavirus). This is of importance since the SARS-CoV-2 genome in IWW might have already been subject to in-sewer degradation into smaller genome fragments or might be present in a different form (e.g. cell debris,etc). Centricon Plus-70 (100 kDa) centrifugal filter devices resulted in the lowest and most reproducible Ct-values for SARS-CoV-2 RNA. Lowering pore sizes did not improve our limit of detection and quantification. Real-time polymerase chain reaction (qPCR) was employed for the amplification of the N1, N2, N3 and E_Sarbeco-gene. This is one of the first studies to apply digital polymerase chain reaction (dPCR) for the detection of SARS-CoV-2 RNA in IWW. Interestingly, qPCR results were comparable with dPCR results suggesting that qPCR is a valid method. In this study, dPCR was also used as a proxy to assess the precision of qPCR. In this light, dPCR showed high variability at low concentration levels (100 copies/microliter), indicating that variability in bioanalytical assays for SARS-CoV-2 RNA might be substantial. On average, the N2-gene showed high in-sample stability in IWW for 10 days of storage at 4 degrees. Between-sample variability was substantial due to the low native concentrations in IWW. Additionally, the E-gene proved to be less stable compared to the N2-gene and showed higher variability. Freezing the IWW samples resulted in a 10-fold decay of loads of the N2- and E-gene in IWW. Although WBE can already aid in filling some knowledge gaps in the epidemiological surveillance of SARS-CoV-2, future WBE studies should aim to further validate and standardize bioanalytical assays, especially with regards to methodological limitations.