At this point, it can hardly be underlined enough how water is one of the most fundamental resources for life. Whether it comes from surface water or groundwater sources, access to water that meets proper quality and quantity standards is of vital importance across the world. Continue reading “Cloud technology: How a visual overview makes mine water management easier”
According to the Water and Wastewater Systems Sector analysis conducted by the U.S. Department of Homeland Security, there are 16,000 municipal wastewater treatment plants (WWTPs) in the US. Additionally, there are another 18,000 WWTPs in Europe according to EurEau. Continue reading “The one tip for an efficient wastewater treatment plant: Go digital”
With rapid urban population growth, water utilities worldwide are more than ever facing pressing challenges to preserve the hydraulic perfomance and water quality of already strained water distribution networks and infrastructure. Continue reading “How real-time modelling supports a proactive water network operation”
Droughts are impacting countries and climate all over the world. Australia is currently experiencing droughts which are so severe, that areas corresponding to the size of Denmark and Belgium combined, have burst in to flames and almost half a billion animals are affected – making it one of the worst droughts in decades. Continue reading “An expert perspective: Discovering the importance of early warning systems in drought management”
2020 marks the start of not just a new year, but a fresh new decade – a perfect time to reflect upon what is coming and prioritise where to focus efforts next.
The Water Industry will most likely endure several changes in the years to come due to rapid urbanisation, severe climate changes, rising customer demands and the implementation of emerging digital technologies. These changes will leave the industry with a complex set of challenges that should be addressed and adopted to in order to stay competitive. Continue reading “Five major challenges and opportunities impacting the Water Industry in the years to come”
Digitalisation is a term and process that is frequently stumbled upon in business settings. At its core, one could argue that digitalisation refers to the use of digital technologies to provide new valuable and important opportunities. But how does digitalisation play a role in the operation of wastewater treatment plants (WWTPs)? Which positive impacts can digitalisation have on the Water Industry? Continue reading “Wastewater treatment: How can Digital Twin modelling play a crucial role in WWTP operations?”
Today, cities all over the world are dealing with a range of global pressures such as rapid urban growth, severe climate changes and aging infrastructure to provide safe and resilient water supply, collect sewage, secure a minimum spill of untreated water and reduce risks of flooding. Because of these challenges, cities experience difficulties in finding efficient and sustainable ways to manage water. Continue reading “Why an integrated approach is the key to unlocking value in urban water management”
As water is seen as one of the world’s most precious resources, providing enough water with appropriate quality and quantity may be considered as one of the most important challenges in human history.
The world is, as we speak, experiencing serious growth in urban population. This, together with water scarcity and shortage due to climate changes, are creating massive challenges for urban water management. Continue reading “Water distribution: How new technologies can help preserve and improve drinking water quality”
Defining its role in providing real customer value
The concept of the Digital Twin is increasingly entering the Water Sector as an innovation driver. More than ever, its role in bringing value to operators is being highlighted by industry professionals around the world.
What is a Digital Twin? A Digital Twin is a computer model that virtually reflects and simulates a real object, its environment and interaction, providing a picture as accurate as possible of how that object behaves in real time. This could be a water treatment plant, where the Digital Twin includes process models to simulate the treatment steps, physical assets (e.g. pumps) represented in CAD, and performance models to optimise resources (e.g. energy usage).
Unsure about the similarities and differences between artificial intelligence, machine learning and deep learning? This blog post introduces the quick basics. Continue reading “The very basics of artificial intelligence, machine learning and deep learning”