Clean energy & decarbonisation

Clean energy and decarbonisation are shifting the automotive industry from a product-centric model to an energy-integrated mobility ecosystem. Electrification is no longer the differentiator. The competitive edge lies in managing lifecycle emissions, battery supply chains, and energy sourcing. OEMs must now integrate upstream mining emissions, battery production, and downstream energy usage into their value proposition.

A key emerging application is closed-loop battery ecosystems where OEMs vertically integrate recycling with second-life energy storage solutions. This creates new revenue streams while addressing regulatory pressure on material sourcing. Another example is vehicle-to-grid orchestration platforms that monetise idle EV capacity by providing grid balancing services. This shifts vehicles into distributed energy assets rather than mobility products.

Negatively, the transition creates capital intensity and margin pressure due to parallel investments in ICE phase-out, EV scaling, and infrastructure partnerships. Supply chain exposure to critical minerals such as lithium and nickel introduces geopolitical risks. OEMs that fail to secure low-carbon supply chains may face regulatory penalties and loss of market access.

Overall, decarbonisation forces automotive players to rethink their role in the energy system rather than simply transitioning drivetrain technologies.

The chemicals and materials sector faces one of the most complex decarbonisation challenges due to its reliance on fossil feedstocks and high-temperature processes. Clean energy shifts the industry towards electrified processes, green hydrogen, and circular carbon pathways.

An emerging application is electrified steam cracking using high-temperature electric furnaces powered by renewable energy. This significantly reduces Scope 1 emissions but requires grid stability and renewable baseload access. Another example is carbon capture utilisation integrated with synthetic feedstock production, enabling chemicals companies to convert captured CO2 into high-value polymers or fuels.

A less obvious use case is material innovation for decarbonisation enablers, such as advanced membranes for hydrogen separation or next-generation insulation materials that reduce energy demand in downstream sectors.

The downside includes substantial retrofitting costs and uncertainty around feedstock economics. Green hydrogen remains cost-prohibitive in many regions, creating risk in early investments. Furthermore, circular models often depend on fragmented waste streams and inconsistent regulatory frameworks.

Strategically, winners will be those who transition from commodity chemicals to low-carbon speciality materials and position themselves as enablers of decarbonisation across industries.

Electronics plays a dual role as both an enabler and a contributor to emissions. Clean energy initiatives are reshaping semiconductor manufacturing, data centre operations, and device lifecycle management.

One emerging application is energy-aware chip design, where semiconductors are optimised not only for performance but also for energy efficiency under real-world workloads. This is critical as AI-driven applications increase energy demand exponentially. Another use case is decentralised edge computing powered by micro-renewable systems, reducing reliance on energy-intensive centralised data centres.

Advanced thermal management systems using phase-change materials are also gaining traction, enabling electronics to operate at lower energy consumption levels.

However, the sector faces challenges in reducing Scope 3 emissions, particularly from complex global supply chains and rare material extraction. The push for shorter device lifecycles exacerbates waste and energy consumption.

Decarbonisation will push electronics firms to redesign products for longevity, repairability, and energy optimisation, rather than purely performance-driven innovation.

This sector sits at the centre of the transition and experiences both disruption and opportunity. Traditional utilities are evolving into energy platform operators managing decentralised, intermittent energy sources.

A notable application is grid-interactive industrial clusters, where energy-intensive industries dynamically adjust operations based on renewable energy availability. This reduces peak demand and enables more efficient grid utilisation. Another is hybrid energy systems combining solar, wind, storage, and hydrogen to provide stable baseload power for industrial users.

Digital twins of energy grids allow real-time optimisation of energy flows, improving resilience and reducing losses.

On the downside, legacy assets risk becoming stranded, particularly coal and gas infrastructure. Utilities must manage declining returns from traditional generation while investing heavily in new infrastructure.

The sector is shifting from generation-focused economics to orchestration and flexibility services, fundamentally altering revenue models.

Decarbonisation is redefining infrastructure design, construction, and lifecycle management. Projects are increasingly evaluated based on embodied carbon, not just operational efficiency.

An emerging use case is carbon-optimised construction planning using AI-driven material selection and logistics modelling. This enables infrastructure developers to minimise emissions before construction begins. Another example is energy-positive infrastructure, such as bridges or buildings that generate more energy than they consume through integrated photovoltaics and storage systems.

Retrofitting existing infrastructure with carbon monitoring sensors creates opportunities for predictive maintenance and emissions optimisation.

However, the sector faces cost pressures due to new material requirements and regulatory compliance. Supply chains for low-carbon materials such as green steel are still immature, leading to price volatility.

Firms that integrate digital tools with low-carbon engineering capabilities will gain a competitive advantage in public and private tenders.

Industrial machinery is undergoing a transition towards electrification, energy efficiency, and embedded intelligence. Equipment is increasingly expected to operate within low-carbon production systems.

A key application is energy-adaptive machinery that adjusts power consumption based on real-time energy pricing and availability. This is enabled by embedded IoT sensors and edge analytics. Another example is modular electrified machinery designed to replace diesel-powered equipment in industrial and construction environments.

Hydraulic systems are being replaced with electric actuators, reducing energy losses and enabling more precise control.

Challenges include higher upfront costs and the need for operators to adapt to new systems. Additionally, electrification may not yet meet performance requirements in heavy-duty applications.

Manufacturers that embed energy optimisation into machinery design will unlock new service-based revenue models linked to performance and emissions reduction.

Manufacturing is transitioning towards low-carbon production systems that integrate energy, materials, and digital optimisation.

An emerging application is carbon-aware production scheduling, where factories adjust production runs based on energy carbon intensity rather than just cost. This requires integration between energy markets and manufacturing execution systems. Another use case is on-site microgrids combining renewables and storage to stabilise energy supply and reduce reliance on external grids.

Advanced process electrification, such as induction heating and microwave processing, is reducing reliance on fossil fuels.

However, the transition introduces operational complexity and capital expenditure challenges. SMEs in particular may struggle to finance upgrades.

Decarbonisation will reward manufacturers that treat energy as a strategic input rather than a utility cost.

Mining is under pressure to decarbonise while supplying critical minerals for the energy transition. This creates a paradox where demand increases while emissions must decrease.

A notable use case is fully electrified autonomous mining operations powered by on-site renewable energy. This reduces diesel dependence and improves operational efficiency. Another application is ore pre-processing using sensor-based sorting to reduce energy-intensive downstream processing.

Water-energy nexus optimisation is also emerging, where mines reduce energy consumption through advanced water recycling systems.

Challenges include remote locations with limited renewable infrastructure and high capital requirements for electrification.

Mining companies that align decarbonisation with operational efficiency will gain preferential access to capital and customers.

Oil and gas companies are diversifying into clean energy while optimising existing operations to reduce emissions.

An emerging application is repurposing depleted reservoirs for carbon storage and hydrogen production. Another is electrification of offshore platforms using subsea power cables connected to renewable sources.

Digital methane monitoring using satellite and sensor networks is becoming critical for regulatory compliance and emissions reduction.

However, the sector faces declining long-term demand and investor pressure to transition. Many clean energy investments currently deliver lower returns compared to traditional projects.

The challenge lies in balancing cash flow from legacy assets with investment in future energy systems.

Decarbonisation is transforming logistics from a cost-driven function to a strategic lever for emissions reduction.

A key application is dynamic routing based on carbon intensity rather than distance or cost. This leverages real-time data from energy grids and traffic systems. Another is multi-modal logistics platforms that optimise transport modes based on emissions profiles.

Urban logistics is seeing the rise of micro-distribution hubs powered by local renewable energy systems.

Challenges include infrastructure gaps for alternative fuels and the complexity of coordinating across multiple stakeholders.

Logistics players that integrate carbon intelligence into operations will become preferred partners in low-carbon supply chains.