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Smart meters collect and transmit real time water usage data from users, which can be used for billing, improve water efficiency and enhance customer experience.
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Unmanned Aerial Vehicles (UAV) are drone-like aircrafts without an onboard pilot which can provide last mile transport similar to car-based ride hailing services.
Hyperloop is a form of high-speed transport using passenger 'pods' in low-pressure or vacuum tubes.
Drone technologies can enable remote inspection of infrastructure, thereby improving safety by eliminating hazardous tasks previously done by humans.
Smart street lighting adapts to traffic and light conditions. It can use sensors to detect cars/cyclists/pedestrians and automatically adjust lighting levels along their trip.
Artificial Intelligence (AI) to enable the early identification of health issues and tailor a response to minimise community and economic disruption.
An alternative means of conducting waste management and cleaning in stations through robots that spray cleaning chemicals (e.g. hydrogen peroxide) onto surfaces.
A combination of digital solutions and treatment technologies can enable last-mile access to clean water through water kiosks and smart metering.
This use case explores technologies that decrease Scope 1 greenhouse gas emissions from wastewater treatment processes.
Technologies that enable the capture of greasy waste from commercial and industrial facilities to convert into biodiesel.
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3D printers can produce components on-site to enable a faster response to maintenance needs, reducing environmental impact from transportation and reducing service downtime.
Digital knowledge platforms that share data and knowledge on-site during construction and maintenance, making it readily accessible to all workers thereby reducing project time while also improving work quality and safety.
Combination of sensors and machine learning to predict timelines and modes of failure for physical and mechanical assets such as pipes, pumps, and motors.
Automated Robot Cranes (ARC) with Artificial Intelligence (AI) to perform tasks autonomously to avoid collisions, accidents and delays during operations.
Automated welding technologies used for pre-fabrication of pipes, tanks and treatment plants to reduce construction costs and project timeframes.
Artificial intelligence (AI) to optimise water and wastewater treatment processes through automated control and/or provision of decision support for plant operators.
Converting old unused mineshafts and canals into 'geothermal boilers' to produce electricity that can be transported to homes or public spaces.
Combination of sensors and AI to increase sewer capacity and reduce the frequency and magnitude of sewer overflows, especially during high rainfall events.
Building Information Modelling (BIM) and pre-fabrication technology being used in conjunction to enable the project to be built virtually before construction, reducing issues or inefficiencies that can arise during the construction stage.
60% of infrastructure assets reporting to GRESB in 2023 currently have a greenhouse gas (GHG) emissions reduction target aligned to net zero. However, these net zero targets may not be ambitious enough. Only a third of assets have a target that is science-based or aligned to a net zero-targeting framework. Further, targets tend to capture only Scope 1 and 2 emissions (omitting Scope 3 emissions) and be location, rather than market-based. However, regional variances exist, with Europe leading the way in Scope 3 and market-based net zero targeting.
