With identification and characterization of both biowaste streams and pretreatment processes for a given region, a pretreatment network can be assembled. A general example of such a network integrated with a conventional reaction network is shown in Figure . Realizing such a network will require large-scale extraction and parsing of data from a variety of different sources that may or may not have the desired information. It is, therefore, prudent as a first step to conduct a case study of a chosen region to better understand data requirements and viability. For this study, the region of Singapore has been chosen, including its neighbours Malaysia and Indonesia. The primary aims are, to: a) Identify and characterize key biowaste streams/sources in the region. This will ideally involve quantified availabilities, qualitative judgements based on other criteria, and quantified chemical compositions, if data is available. b) Select the most attractive biowaste stream based on its characterization data for further pretreatment. c) Identify and simulate a pretreatment process for isolating feedstocks from the biowaste stream in Aspen PLUS. For this aim availability of data such as raw materials, process conditions, processing steps, feedstock recoveries and purities is crucial. d) Conduct an exergy analysis on the chosen pretreatment process, highlighting inefficiencies, areas of improvement and trends.