Circular economy design visioning: exploring industrial and urban symbiosis in South African cities.
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Date
2017
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Abstract
Cities of tomorrow will be at the coalface of the complex challenges posed by climate change,
e.g. resource scarcity. Climate change adaptation strategies will include circular economy (CE)
practices (e.g. industrial and urban symbiosis) to increase the rate of recycling technical nutrients,
in turn improving the resource efficiency of cities. The study investigates industrial and urban
symbiosis in South Africa. In doing so, exploring technology enabled (i.e. cyber-physical-social
ecosystems) CE solutions to designing out waste in South African cities.
One of the key contributions of the research is the comprehensive synthesis and testing of an
iterative problem structuring, theory building and design visioning (problem-theory-design)
continuum to inform CE experimentation. A mixed methods design visioning approach is
developed through an experiential and iterative design practice nested in a network of
interdisciplinary theoretical constructs: 1) philosophical construct – Ecological Literacy (systems
thinking), 2) techno-economic construct – Third Industrial Revolution (internet-of-things enabled
general purpose technology platform), and Circular Economy (industrial and urban symbiosis),
and 3) design construct – properties of Ecodesign derived from the dynamic renewable design of
natural ecosystems. The research argues that to construct a meaningful CE transition experiment,
a logical starting point is to distil key findings from a theoretically embedded case study to inform
the design of a virtual experiment and simulation sketch.
Through an embedded multiple case study approach the research investigates complex resource
recovery dynamics in two key waste economy sub-sectors; industrial waste management and
urban informal recycling sectors in the province of KwaZulu-Natal (KZN). The case studies
provide an integrated method (i.e. synthesising quantitative and qualitative knowledge) for
holistic and high-resolution problem structuring. From a systems thinking perspective, key
leverage points (i.e. data, information sharing and infrastructure) are identified for potential policy
and technology intervention. Learnings from the case studies inform policy recommendations and
CE innovation.
The findings from the industrial symbiosis (IS) case study illustrate that firms and supply chain
networks recognise the environmental importance of improving industrial waste management
practices, however they are locked-in to end-of-pipe solutions. Firms highlighted regulation, price
sensitivity, customer pressure and top management as key drivers of pro-environmental behaviour
change (e.g. waste beneficiation). The findings highlight the unrealised IS potential in the South
vi
Durban Basin. In addition, revealing significant barriers to IS, i.e. lack of information sharing
between firms and a weak regulatory environment. To increase the detection, matching and
emergence of IS relationships will command the dynamic co-production of codified resource flow
data; herein a big data analytics approach can be employed to construct open source platforms for
interfirm information (e.g. residual resource flows) sharing and knowledge production – an
industrial commons internet.
The urban symbiosis case study explores the informal recycling sector in KZN analysing the
instrumental role of waste pickers as primary looping agents in recovering recyclable materials
from post-consumer waste and increasing the supply of recyclable materials (e.g. cardboard,
paper, plastic and metal) in the secondary resources economy. Waste pickers are an important
link in recycling value chains; sorting, gathering and manually transporting recyclable materials
to buy-back-centres and informal collection pick up points. The case study investigates how their
efficiency can be improved to stimulate greater positive environmental impacts, create decent
employment opportunities, and reduce waste management costs for municipalities.
The findings from the case study on waste pickers are extrapolated in a CE design visioning
exercise. From a systems level perspective, the research culminates in the sketch of a virtual
circular city experiment; a cyber-physical social ecosystem (CPSE) designed to increase recycling
rates in cities by addressing the infrastructural needs of waste pickers. The hardware, software
and social ecosystem is built out of an internet-of-things (IoT) platform. Firstly, the IoT enabled
infrastructural system improves material recovery efficiencies (of post-consumer recyclable
materials) by increasing connectivity between waste pickers and waste collectors. Increased
connectivity allows for looping and aggregating material stock and flow data. Secondly, the
integrated hardware and software infrastructure provides an automated, digitised and
decentralised buy-back-transfer service – delivered through connected and solar-powered
collection nodes strategically distributed throughout the city in a mesh network configuration.
Thirdly, the digital platform aggregates big data and employs advanced analytics to generate
actionable residual resource intelligence, consequently enabling evidence-based decision making
by key stakeholders, e.g. government agencies, industry associations, recyclers and material
reprocessors. To further the research agenda, the next step is structuring a real-world transition
experiment based on the virtual circular city design experiment, defined as, the internet-of-waste
pickers (IoWP).
Description
Doctoral Degree. University of KwaZulu-Natal, Durban.