The build-up of marine organisms, known as biofouling, on subsea structures presents a significant challenge for the global Offshore Renewable Energy (ORE) industry. This accumulation increases hydrodynamic loads, potentially compromising structural integrity and mooring systems, ultimately hindering device performance and inflating the already complex costs of offshore inspection and maintenance. This issue takes on heightened importance for pioneering large-scale floating offshore wind projects, particularly the planned Celtic Sea development off the coast of South West Wales, where extensive underwater foundations and mooring systems are especially vulnerable. To meet this critical need, PEBL CIC is developing BioScan, an innovative, structure-mounted imaging solution designed to deliver continuous intelligence on subsea conditions. This technology holds particular significance for SW Wales as it transitions into a key hub for this ambitious floating wind project. Unlike costly and infrequent inspections by ROVs or divers, BioScan is designed for deployment directly onto ORE subsea structures, foundations, or mooring lines using a magnetic and mechanical clamping system. It integrates underwater imaging with machine vision, onboard data processing and subsea-to-cloud data transmission capabilities. To further enhance its predictive power, PEBL CIC is collaborating with OceanOS. Data gathered by the BioScan hardware will be combined with OceanOS's advanced foundation model, which leverages vast amounts of public oceanographic data. This synergy enables superior real-time analysis and forecasting -- with an initial focus on tracking and predicting biofouling accumulation. By offering continuous, data-driven insights powered by this collaboration, BioScan empowers ORE operators with the information needed for truly predictive Operations & Maintenance (O&M). This proactive approach is crucial for managing the unique structural and operational challenges of floating wind installations. Optimising maintenance schedules based on accurate, real-time condition forecasts helps maintain peak performance, ensures asset integrity, and crucially reduces operational expenditure. Enhancing the efficiency and cost-effectiveness of vital projects like the Celtic Sea development through technologies such as BioScan is essential for Wales to successfully scale up its clean energy generation and achieve its ambitious Net Zero commitments.

EMMA: Environmental Maritime Modelling & Analytics is an innovative Smart Shipping solution that transforms how we understand, visualise, and manage maritime emissions and their impact on coastal environments. Maritime transport is vital to the UK economy but contributes significantly to air and water pollution in port areas and coastal communities. While existing tools like the DfT Maritime Emissions Model provide valuable fleet-level emissions forecasts, they don't show how these emissions interact with local environments. EMMA fills this critical gap with a sophisticated predictive modeling system that functions like a "weather forecast" for maritime emissions. Led by OceanOS with partners B4T Group, Satellite Application Catapult (SAC) and University of Plymouth, EMMA will create a cutting-edge AI-powered data service that integrates multiple historic and real-time data streams to predict how vessel emissions disperse and concentrate in specific locations. The system integrates vessel tracking information (AIS), oceanographic conditions (currents, waves), meteorological data (wind, temperature), and ground-truth measurements from air quality sensors and satellite observations. EMMA will deliver high-resolution geospatial visualisation(s) of maritime emission patterns, providing insight into: * Where emissions concentrate in port areas and coastal communities; * Determine emissions attributable to port activity and those originating from Europe/Africa; * How changing weather and ocean conditions affect emission dispersion; * The cumulative impact of multiple vessels operating in proximity; and * Seasonal and temporal patterns of emission concentration. Piloting in Plymouth Sound we have access to multiple ports and harbours, including Cattewater Port Authority and ABP, as well as input from Plymouth City Council. We will develop data streams that integrate into existing system architecture to enable evidence-based decision-making. Port authorities can schedule vessel movements to minimise emission hotspots, city planners can better understand air quality impacts on nearby communities, and vessel operators can optimise routes to reduce environmental footprints. The 7-month project will deliver a functional prototype of the EMMA data layers (geospatial maps), validation against ground-truth measurements, and case studies demonstrating tangible environmental and operational benefits. Following successful demonstration, the service will be commercialised as a Data-as-a-Service (DaaS) accessible to port authorities, maritime operators, local/national governments, and environmental agencies. By bringing new levels of understanding and precision to maritime emissions management, EMMA supports the UK's transition to cleaner shipping while creating new commercial opportunities through optimised operations, reduced compliance costs, and innovative data services. This project represents a significant step forward in applying Smart Shipping technologies to create environmental and economic benefits for UK maritime stakeholders.

The South Wales industrial cluster faces a critical challenge in achieving its net zero ambitions: how to make informed decisions about marine infrastructure while protecting and enhancing the region's valuable marine environment. Currently, environmental data needed for planning industrial decarbonisation projects (floating offshore wind, hydrogen infrastructure, port extensions) exists in fragmented forms across multiple organisations (including Natural Resources Wales, The Crown Estate, and JNCC), making it difficult to assess impacts, identify opportunities, and accelerate the transition to clean energy. OceanIQ will develop an innovative marine geospatial analytics platform that transforms how the South Wales industrial cluster approaches environmental decision-making. By consolidating diverse environmental and oceanographic datasets into intuitive map layers, the platform will help coastal infrastructure operators, renewable energy developers, and conservation groups make better-informed decisions about marine infrastructure and environmental enhancement. OceanIQ integrates advanced machine learning and high-resolution spatial analytics with deep understanding of industrial needs to create practical tools for environmental assessment. Users will be able to evaluate potential sites for offshore renewable energy projects, plan cable routes with minimal environmental impact, and identify opportunities for marine ecosystem restoration. This comprehensive approach supports both industrial decarbonisation and biodiversity enhancement, helping the region achieve its economic and environmental goals. A key innovation lies in the platform's ability to support nature-based solutions within industrial planning. As marine conservation requirements evolve, stakeholders will be able to identify suitable areas for initiatives like seagrass restoration or artificial reef creation. This proactive approach to environmental management helps industrial operators meet emerging regulatory requirements while contributing to marine ecosystem health. The project brings together expertise from across South Wales' innovation ecosystem. Technical validation will be provided by ORE Catapult's Pembroke facility, while scientific input comes from regional research institutions. Close collaboration with the Celtic Sea Developers Alliance ensures the platform meets real-world industry needs. By reducing the time and cost of environmental assessments while improving decision quality, OceanIQ will accelerate South Wales' transition to net zero. The project supports multiple regional priorities including industrial decarbonisation, floating offshore wind deployment, and marine biodiversity enhancement. Successful delivery will strengthen South Wales' position as a leader in sustainable industrial development and create new opportunities for the region's growing clean technology sector.

AMBROSIA is an innovative project designed to enhance the monitoring of marine biodiversity through an integrated and autonomous system. Combining static and mobile monitoring technologies, this project will deploy advanced sensors and autonomous vehicles to collect comprehensive data on marine ecosystems. Key components of the system include hydrophones for acoustic monitoring, underwater cameras for species detection, multi-parameter sensors for environmental data, and eDNA samplers for genetic analysis of marine life. These elements will be integrated into a centralised platform capable of operating continuously and transmitting data wirelessly. Data collected will be processed using advanced machine learning algorithms to provide real-time insights and detailed biodiversity assessments. Our innovative approach addresses current limitations in marine monitoring by offering a scalable, cost-effective, and non-intrusive solution that supports environmental conservation, regulatory compliance, and sustainable management of marine resources.

OceanOS will pilot an innovative marine biodiversity monitoring system to support sustainable growth of offshore wind farms. The project addresses the lack of cost-effective, non-invasive, accurate tools that provide the near real-time species data needed to guide responsible site development. By leveraging AI techniques, the breakthrough pairs non-invasive hydrophone sensors with machine learning biodiversity models trained on acoustic signature databases. This transforms ambient soundscapes, unlocking new horizons for conservation science and policy. The automated identification and geospatial tracking of vocalising marine life reveals population densities, residency times, habitat uses and more -- customisable key indicators for quantifying human impacts and restoration gains. Initial trials will deploy the modular analytics and monitoring platform at an exposed open water site off the North Devon coast adjacent to planned large-scale Celtic Array FLOW development zones. Overall this project will deliver comprehensive, credible biodiversity due-diligence capability currently lacking, enabling the renewable energy transformation imperative for net zero. Quantified, dynamic, and scalable marine life assessments de-risk project development, attract investment and build public trust. The innovation will unlock adjacent markets from shipping to aquaculture, cementing UK leadership in sustainable blue economic growth rooted in science and technology innovation.

**Project Overview:** The project focuses on marine and coastal solutions that include seaweed and shellfish farms, habitat restoration projects, and artificial reefs as well as offshore renewable developments. The goal is to provide social and economic benefits to coastal communities while increasing marine biodiversity and creating a healthy, resilient marine ecosystem. However, regular monitoring is necessary to maximise these benefits and minimise negative impacts. This monitoring faces challenges like accessibility, high costs, and labour-intensive data processing. **Project Aim:** The project aims to test a comprehensive solution that includes collecting, processing, and analysing data remotely and in real-time. This involves using sensors, underwater cameras, and acoustics to collect data from various sources, including environmental DNA and oceanographic datasets. The data will be processed in a cloud-based infrastructure to ensure its integrity and security, and advanced algorithms will be used to identify patterns, trends, and anomalies. Technical Developments: PEBL and ORE Catapult (OREC)will deploy a network of remote monitoring systems at test sites in Pembrokeshire. These systems will send sensor and video data wirelessly to a cloud-based platform. Other local datasets, such as wind, wave, water quality, acoustics and environmental DNA, will be added to the same database to provide a comprehensive overview of the site's ecological and environmental characteristics. The data will be analysed, and key relationships between datasets will be extracted to provide a series of key performance indicators (KPIs), such as biodiversity net gain. The results will be presented in an intuitive dashboard. Stakeholder Feedback: OREC will form an advisory board consisting of key stakeholders from industry and government organizations. They will be invited to use the platform and provide feedback on its usability and the quality and relevance of the data sets.