The city gas distribution industry has been proactive in adopting new and advanced technologies to ensure sustainable and efficient gas operations. Technologies such as digital twins, predictive analytics, artificial intelligence/machine learning (AI/ML), supervisory control and data acquisition, automation, smart metering, project management tools and cloud computing are witnessing higher uptake owing to their multiple use cases. Utilities are using real-time monitoring platforms, which help track gas usage, unaccounted gas, meter purchases, driver management systems, vehicle tracking systems, etc.
With the government focusing on increasing the share of natural gas in the country’s energy mix, adopting digital technologies has become increasingly important. Technologies such as drones, virtual twins, predictive analytics and AI/ML are being used in the gas space for asset monitoring, predictive maintenance, queue management, etc.
The industry is continuously working towards addressing challenges pertaining to remote data collection, data integration and cybersecurity. Some of the key trends to this end include the use of smart techniques (acoustic and robotic) for pipeline leak detection, automatic ultrasonic testing, robotic inspection, thermal mass flow sensors, innovations in cascade systems and smart dispensers.
In the water sector, the necessity to guarantee sustainable use has driven the development and use of cutting-edge technologies. Digital innovations are now central to optimising the planning, design, operation and maintenance (O&M), and monitoring of wastewater treatment processes. To this end, new software and platforms such as common data environment and building information modelling facilitate the seamless integration of data and systems. These technologies also tackle critical challenges such as high non-revenue water from pipeline leakages, streamlining the construction of the water network and improving its O&M efficiency.
Water security depends on providing equitable, reliable and high-quality water supply, leading to increased adoption of innovative approaches. The central and state governments are focused on ensuring continuous water supply and reusing treated wastewater for both potable and non-potable purposes. Similarly, urban local bodies and private stakeholders are at the forefront of implementing water conservation measures such as rainwater harvesting and improved water tariffs. They are also undertaking seawater reverse osmosis desalination projects with more mature membrane-based filters.
The sector is turning towards energy-efficient equipment and advanced materials for developing a robust pipeline and pumping infrastructure. Variable frequency drives, high-density polyethylene and chlorinated polyvinyl chloride piping systems, and submersible pump designs are some of the new interventions for smooth water network operations. Advanced valves are also being used by industries for improving control of water flow and reducing water losses. Additionally, industrial wastewater recycling is gaining traction as a viable solution to rising water requirements and pollution of rivers and water bodies. Research institutes and government regulatory bodies are also promoting zero liquid discharge systems and their adoption by industries in effluent treatment plants. These advancements are expected to shape a more sustainable and resilient future for the sector.
Meanwhile, utilities in the power sector are also undergoing a crucial transformation driven by the need to combat climate change. One of the key innovations shaping this change is the smart grid, which can enhance the efficiency, reliability and sustainability of electricity distribution. Smart grids are vital for the future of energy, especially as renewable sources such as solar and wind become more prominent. They help address the challenges of intermittency by balancing supply and demand efficiently, while also empowering consumers with tools to manage energy consumption and reduce costs. Utilities benefit from real-time monitoring, minimising downtime and optimising operations. AI-powered predictive analytics allow smart grids to anticipate potential energy shortages or excess supply, enabling more precise planning and resource allocation.
The shift to smart grids however, comes with challenges. The initial cost of infrastructure upgrades, cybersecurity risks and the need for a skilled workforce are key hurdles to overcome. Utilities thus need to collaborate to address issues through innovative financing, clear policies and training programmes. They also need to embrace AI and ML as crucial for overcoming operational hurdles during the energy transition.