A whole systems approach to accelerate industrial decarbonisation
Informed by a whole-systems approach, IDRIC research addresses key cross-cutting challenges of industrial decarbonisation:
Low carbon technologies
- fuel switching and energy storage (electrification, hydrogen and bio-fuels)
- carbon capture, utilisation and storage (CCUS)
- greenhouse gas removal (through the capture of carbon from the atmosphere, from biomass or from waste)
- bespoke technologies for decarbonising industry-specific processes
Systems and scale up
- innovative planning and decision-making tools for infrastructure and supply chain development
- development of business models and regulatory frameworks
- collaboration and sharing of innovative practice across industries and the wider economy
Social, economic and policy aspects
- skills pathways for low carbon industry
- roadmaps that support a just transition
- initiatives that stimulate public dialogue and support for industrial decarbonisation.
IDRIC has launched its first wave of over 40 research and innovation projects.
Projects are grouped into 9 Multidisciplinary Integrated Programms (MIPs), each addressing a key challenge or pathway for industrial decarbonsiation (with some themes, e.g. hydrogen or CCUS, or policy and social aspects, covered in more than one MIP).
MIP1: System Planning for net-zero industrial clusters
We address key questions for planning of industrial clusters decarbonisation, enabling a deeper understanding of integrated systems for a long-term strategic vision to optimise and assess technologies of current and future developers, as well as policy mixes. Data and skills generated across this MIP will provide case studies and assessment modelling and validation. These will be used to help develop governance learning and policy mapping for all clusters and MIPs, leading to data rich, system planning models to be shared nationally and internationally
MIP2: Infrastructure for net-zero industrial clusters
The identification of systems infrastructure, assets and network design options that work at cluster level represents a formidable challenge. Important challenges have to be addressed regarding cost of new or modified infrastructure. This must be underpinned by a place-based planning capability that takes into consideration the expense of social and environmental justice for communities and workers. Linking optimisation methods and data across the projects in this MIP will hasten the opportunity to compare and validate optimal source, vector and storage options