Presented by: Andy Street (Director, SLR Consulting)
In this webinar, Andy Street will present on how best to collect food scraps, and whether separate collection is preferable to co-collection with green waste (the so-called FOGO collection – ‘Food Organics / Green Organics’)
This webinar will cover:
- What is seen as best practice in overseas markets similar to NZ?
- What impact does a FOGO approach have on the effective diversion of food scraps
- What impact does FOGO have on the options for, and cost of treatment/processing and the quality of process outputs
- What evidence is there to support separate collections of food scraps
Background: Food scraps represent a substantial proportion of the solid waste collected by Councils from households and businesses in New Zealand and the current practice of landfilling the bulk of this material is a significant ongoing contributor to NZ’s greenhouse gas emissions and a major barrier to achieving sustainable waste management practice into the future.
Separate collection of food scraps at the kerbside is provided by local authorities in many overseas countries, as a way to mitigate this adverse environmental impact. The collected material is typically processed by aerobic and/or anaerobic processes to produce a compost or digestate material with potential beneficial impacts (nutrients, moisture, fibre) for application to a range of land types and end-uses (agricultural, horticultural, livestock, derelict etc.).
A key question is how best to collect food scraps, and whether separate collection is preferable to co-collection with green waste (so-called FOGO collection – ‘Food Organics / Green Organics’). Some see FOGO collections as a quick and easy way of collecting food scraps by simply asking householders to add food scraps to their green waste bin. Seen in isolation this can appear to be cheap and effective. However, others argue that when the whole system costs and impacts are taken into consideration, alongside the quality and marketability of process outputs, FOGO does not necessarily provide the best solution.