*Energies* **2020**, *13*, 1147

Three studies assessed the theoretical potential of forest biomass across the nation using a range of literature assumptions applied on statistical data of the forest industry reported by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARE) [53,71,72]. Their research combines geographical distribution of the forest with annual forest production data and sawmill survey results. To estimate the quantity of biomass the research includes losses through a range of diversion and conversion parameters retrieved from the literature. The combination of statistical inventory data and literature is also applied in a method to estimate the theoretical forest biomass potential on the Sunshine Coast Council in a 20-year prediction [73]. Similarly, a current and potential forest biomass scenario was established for Tasmania [74]. The studies by Farine et al. (2012) and Crawford et al. (2016) also rely on the use of the 3-PG model [75], which is a process-based forest growth model, to estimate the theoretical biomass potential of forest biomass in the future. A similar method was applied in the Green Triangle in South Australia to assess the year-by-year biomass availability [76]. Because of the smaller scale and unified nature of the forest in the Tasmanian research paper [76], researchers were able to include more detail on forest biomass availability by including thinning practices and moisture content. Ximenes et al. (2012) used the Forest Resource and Management Evaluation System (FRAMES) model to predict the wood supply and converted yield to theoretical biomass potential of two case study areas [77]. The model includes three modules on inventory, growth and mortality models, and yield simulation including a future prediction for the next 200 years. Another case study in Tasmania [78] used a non-industrial private native forest (NIPNF) modelling approach to assess theoretical biomass potential in Tasmania. Their research includes a range of limitations on the land availability of harvest of forest biomass, year-to-year variation, moisture content and rotation of forest harvest. The importance of moisture content was also highlighted in a New South Wales case study [79] where three di fferent scenarios of forest biomass are compared in their total emission and energy. Other than having the direct impact of moisture content on energy production, there were no other indications as to how respective biomass quantities were measured in the three cases [79].

The remaining studies review the theoretical potential of forest biomass but do this as part of a literature review of the potential of forest biomass for bioenergy in Australia or the application of biomass supply chain on a national scale [5,80,81]. Lastly, Ximenes et al. (2017) discuss some of the measures to assess the potential of CWD and standing forest biomass for mechanical fuel load reduction.
