You are here

RP2019: CO2 Reduction and Food Production from Household and Commercial Food Waste: Composting for Different Urban Forms

Project leader name: 
Dr Vivienne Waller, Swinburne University of Technology
Project status: 
Current
Project period: 
07/2015 to 09/2018

This project will develop new distributed models for reducing greenhouse gases and achieving environmental, health, social and economic co-benefits from composting household and commercial food waste for the purposes of growing food. 

It will assess the social, environmental and commercial sustainability of different scalable models of food waste separation, comparing offsite composting and models of onsite composting for different urban forms.

It will develop tools and sustainable living practices to inform future low-carbon design of precincts, through greenhouse gas modelling, microbial analysis of the compost product and road testing of these models in “living laboratories”.

For further information about this project, including a full project summary and researcher bios, visit the Food Compost Food website.

Publications related to this project

CRCLCL Project Reports

The Urban composting research symposium was held at the Hawthorn Arts Centre on Monday 27 August 2018 to showcase the research undertaken as part of the CRCLCL funded project, RP2019 “Enabling carbon reductions through composting food waste for use in growing food”.

Fact sheet
Australians divert much inedible food waste to landfill which releases around 9 million tonnes of CO2-e p.a. Through composting this organic matter and using it to help grow food there is an opportunity to improve crop production and reduce landfill and GHG emissions. This project compares models...
CRCLCL Project Posters
Student Poster – Participants Annual Forum 2017 - Alex Jaimes Castillo THE MICROBIAL ECOLOGY OF URBAN ORGANIC WASTE TREATMENT (COMPOST)
CRCLCL Project Posters
Student poster - Participants Annual Forum 2016 - Alex Castillo The microbial ecology if urban organic waste treatment (Compost)

Students related to this project