Sustainability Hub

Built Environment

With limited land and a densely populated urban environment, Singapore has embraced built environment innovation and sustainable practices across construction, infrastructure, and urban design. Guided by the ambitious targets of the Singapore Green Plan 2030, Singapore is leveraging a wide range of innovations to address key environmental challenges. From energy-efficient building systems to smart infrastructure and sustainable construction materials, these technologies aim to reduce carbon emissions, optimise resource use, and improve climate resilience. 

Enterprises can explore co-developing innovative products and services by tapping on IPI’s curated list of technologies for sustainability in the built environment, unlocking new opportunities in this evolving sector. This ensures that Singapore’s urban areas remain vibrant, sustainable, and adaptable to future environmental challenges, positioning the city-state as a leader in global green urbanisation efforts. By fostering sustainability in the built environment, Singapore is setting a global benchmark for how cities can thrive through the use of cutting-edge innovation and eco-friendly practices.

Real-Time Stability Monitoring of Temporary Support System
Every high-rise building construction requires the installation and maintenance of temporary support system, like falsework and scaffolds, to ensure work can be carried out effectively and safely. Due to the long project and deployment periods, these tall falsework systems might be subjected to various dynamic mechanical impacts, such as prolonged vibration from machineries and piling works overloading, which might lead in displacement and tilting of such structure which are not visible. Overtime, this affects the structural integrity of the support system, potentially result in buckling or catastrophic failure, making stability monitoring essential for early detection and prevention. To address this risk, the technology owner has developed a patented IOT-based construction site monitoring system that provides immediate visibility on the status of the temporary support system by measuring the load and inclination of vertical members in addition to detection uneven load distributions. This enables the construction site monitoring system to detect early and prevent potential overloading and deviations, which can lead to buckling and collapse. Upon detection of abnormalities, the solution transmits critical data instantly to the cloud platform, enabling the safety team to take precautions to ensure that the support frames remain secure for upcoming site work through enhanced stability monitoring capabilities. The battery-based solution is easy to install and is designed for outdoor, rugged construction sites to ensure continuous operation.
Rapid Deployable AI Model for Visual Inspection
In today’s rapidly evolving business landscape, digital transformation has become a strategic imperative for companies across industries. At the core of this transformation lies Artificial Intelligence (AI) – a technology that is increasingly recognised as a key enabler of innovation, operational efficiency, and competitive advantage. As companies accelerate adoption, a rapid deployable approach has become essential, especially for industries seeking an AI visual inspection system that supports automation and fast scaling. However, despite its transformative potential, AI adoption remains a challenge for many organisations. High development costs, specialised expertise requirements, and complex deployment pipelines often limit AI accessibility to large enterprises with dedicated AI engineering teams. Vision-based AI models, in particular, require extensive training, fine-tuning, and maintenance. Even after initial deployment, continuous retraining are necessary to ensure consistent performance, resulting in substantial costs and resource demands – making automated deployment strategies and rapid deployable AI architectures increasingly valuable. To overcome these challenges, the technology owner has developed a suite of pre-trained, customisable, and continuously learning AI models that enable rapid deployment for automated visual inspection. Delivered through a modular AI platform, the solution empowers customers to build, customise, deploy and scale AI inspection solutions cost-effectively, without requiring deep AI expertise. The AI models can process both video footage and static images from conventional camera systems, transforming them into intelligent, AI-powered inspection tools adaptable to diverse use cases and acting as a scalable, automated AI visual inspection system suitable for multiple industries. The technology is available for R&D collaboration, licensing, and test-bedding with industry partners, including system integrators, manufacturers, and inspection service providers.
Transforming Agricultural By-Products into Sustainable Materials
The global push for sustainability is driving demand for innovative solutions to reduce waste and conserve resources. While the focus has often been on synthetic materials like plastics, millions of tons of agricultural waste remain underutilized. Instead of being landfilled or incinerated, this renewable feedstock offers a major opportunity to support a circular economy and lessen dependence on virgin resources, especially as industries seek new ways to upcycle agricultural by-products into higher-value materials. These advancements also align with broader efforts to strengthen sustainable agriculture in Singapore as the nation seeks eco-friendly material innovations. This technology is a proprietary, chemical-free process that converts agricultural by-products into durable, eco-friendly materials. By harnessing diverse agricultural waste streams, this process yields thin plates and modular elements that can replace conventional raw materials in applications such as roofing, flooring, furniture surfaces, and wall furnishings. Designed for circularity, these materials can be broken down and reintroduced as feedstock at the end of their lifecycle, minimising waste and maximising resource efficiency in ways that further support sustainable agriculture in Singapore. The technology owner is actively seeking R&D co-development and out-licensing of the developed IP to companies intersted in advancing sustainable materials and scaling this circular economy solution. 
Digital Voltage Optimisation System for Electrical Energy Saving & Cost Reduction
Rising energy consumption and electricity costs pose significant challenges for businesses across all sectors, from light commercial operations to heavy industries. Moreover, sustainability has become a crucial component of corporate strategy. Electrical energy optimisation is not only about cost savings but also about resource conservation, power stability, equipment protection, and long-term sustainable development, making electrical energy saving a strategic priority for modern enterprises. The technology owner has developed a transformer-based voltage optimisation solution to reduce energy consumption and billing costs, optimise electrical power supply, extend equipment lifespan, and lower carbon emissions. This technology allows electrical equipment to run at an optimal voltage level while keeping the current within the optimum range for best efficiency, providing an immediate and practical way to reduce consumption and deliver electrical energy saving results. Industrial Internet of Things (IIoT) is integrated within the equipment to capture data and users have 24/7 access to a cloud-based platform to monitor, evaluate and make informed decisions on their power and energy usage as well as perform carbon reporting. The technology owner is keen to collaborate with industrial partners such as building management, property owners, industrial facility management in manufacturing sectors, equipment builders, energy consultants etc. The technology is also available for licensing to OEM partners to further co-develop by integrating into building management systems (BMS) and other solutions.
AI-Powered Digital Twin Centralised Management Platform for Cross-Industry Operations
When companies engage in large-scale physical operations, various work processes and system are required to scale up to ensure the smooth operation while maintaining its expected performance. However, due to various systems (e.g., CCTV, IoT sensors, BIM models, manual checklists) being in respective disconnected data silos, this leads to reactive decision-making, operational inefficiencies, and compliance gaps, which is definitely less than ideal. The technology solution addresses this critical pain point by providing an AI digital platform unifying fragmented data into a single, actionable source of operational intelligence, eliminating reliance on error-prone paper-based processes and disjointed tools. This platform leverages on a digital twin infrastructure to consolidate all data silos into a single point of truth for various business unit’s operation, maintaining operational efficiencies and compliance. By leveraging on their Generative AI (Gen-AI) module to generate predictive insights, it enables proactive management (e.g., pre-empting safety hazards, forecasting maintenance needs) instead of post-incident responses, directly addressing the market need for cost-effective, scalable operational excellence. The technology owner is currently seeking industrial collaborators with complex physical assets (e.g. construction, manufacturing, FM, smart cities and healthcare) looking to streamline operational workflow, enhance safety and optimise resource utilisation.
Real-Time Monitoring Fall Protection System for Work-At-Height Safety
In Singapore, where workplace safety is of paramount concern, the Ministry of Manpower (MOM) have always been actively monitoring with compliance and enforcement to meet their objective of less than one workplace fatality per 100,000 workers by 2028. Unfortunately, workplace deaths have been steadily increasing, with falling from height being the highest cause of incident within the construction industry in 2024 with inadequate Workplace Safety and Health (WSH) management, non-compliance and unsafe behaviour being common root causes. With potential loss of man-day and even life, companies are actively looking for solutions which ensure workers working-at-height are safe and compliant. The technology owner has developed an innovative safety solution designed to enhance safety for workers operating at heights. It provides relevant stakeholders with real-time information about the usage of safety harnesses, as well as the precise or general positioning of the worker before, during and after work-at-height (WAH) activities. This capability enables effective monitoring of compliance of workers in high-risk areas and facilitates the implementation of follow-up training and safety improvements. The technology solution has been successfully tested and deployed in various construction sites in Hong Kong. The owner is currently looking for industrial players, such as contractors, and facility management teams, who will find this solution valuable for reinforcing compliance and reducing WAH risk across various operations.
Functional Paint Additive to Prolong Solar Reflectance of Cooling Paint
With rising global temperatures, the demand for energy-efficient cooling solutions is becoming increasingly urgent, particularly in tropical regions. Conventional cooling solutions such as air-conditioning and mechanical ventilation not only consume large amounts of electricity also emit greenhouse gases, further accelerating climate change. Solar reflective paints offer a sustainable solution by reducing heat absorption in buildings, thereby lowering indoor temperatures, cutting energy costs, and decreasing carbon footprint. However, their performance declines over time due to dirt accumulation, which reduces effectiveness and shortens the coating’s lifespan. To address this challenge, the technology owner has developed a novel functional additive that significantly improves the dirt pick-up resistance (DPUR) of solar reflective paints. By post-production incorporation into the painting, the additive enhances overall effectiveness and longevity while maintaining essential painting properties such as consistency and opacity. This solution extending painting’s solar reflectance by up to 6 times longer than traditional paintings, significantly reducing building cooling loads and lowering maintenance. The technology owner is actively seeking collaborations with relevant industrial partners to explore IP licensing opportunities.
AI-Driven Intelligent Air-Condition Optimisation for Energy-Efficient and Sustainable Indoor Comfort
Modern buildings consume significant amounts of electricity through air conditioning systems. However, many conventional setups rely on static schedules or simple rule-based controls that do not adapt to dynamic factors such as external weather, occupancy, or usage patterns. This often results in higher energy costs, reduced occupant comfort, and unnecessary wear on air conditioning equipment - highlighting the growing need to improve aircon energy efficiency across facilities. To address these challenges, the technology owner has developed an advanced air-conditioning optimisation system that leverages real-time sensor data, weather forecasts, and machine learning to dynamically regulate operations. The system features intelligent temperature detection that maintains an optimal balance, neither too cold nor too hot, while automatically controlling air-conditioning and heating in real time, thereby improving aircon energy efficiency, supporting ESG practices, and ensuring a consistently comfortable indoor environment. Designed for seamless installation and operation via a user-friendly interface, the solution is suitable for both small-scale users and large facilities managing multiple air conditioning systems. When integrated with central air control systems, it reduces manual workload for operators while optimising energy use across entire buildings. Successfully deployed in retail stores, offices, and warehouses in Korea, the technology has demonstrated proven value across diverse environments. The technology owner is seeking industrial partners for test-bedding and adoption of their AIoT solution. They are also keen to collaborate with HVAC companies and air handling unit (AHU) manufacturers to co-develop integrated solutions that create win-win opportunities and drive sustainable growth.
Solution to Repair Concrete Cracks, Mitigate Rebar Corrosion and Concrete Carbonation
Concrete deterioration caused by cracking, carbonation, and rebar corrosion represents a multi-billion-dollar global challenge. The global concrete repair market is valued at approximately USD 20 billion. Current methods are often labour-intensive, disruptive, or temporary, creating a strong demand for durable, cost-effective, and sustainable repair solutions. This innovation addresses these needs with a two-part treatment system that restores durability and prevents further structural damage: Water-based Concrete Sealer: Applied directly to concrete and steel surfaces, it prevents the ingress of water and corrosive agents (e.g., chlorides). This reduces the rate of concrete carbonation and rebar corrosion, while also functioning as an anti-corrosion coating for steel reinforcement. Micro-cementitious Crack Injection Sealant: A flowable, non-shrink material designed for sealing narrow concrete cracks (≥1.0 mm). When injected into damaged concrete, it consolidates the structure, re-alkalises adjacent carbonated concrete, and protects embedded steel rebars. By reinstating the passivating layer around embedded bars, it slows corrosion and reduces the likelihood of further cracking. Unlike traditional polyurethane injections, it provides durable, long-lasting repair without shrinkage. Both the water-based sealer and micro-cementitious sealant can be used independently or in combination, depending on the protection and repair requirements. This technology is available for R&D collaboration, IP licensing, and test-bedding with industrial partners in the construction and infrastructure sectors.