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Find out how AVEVA customers are putting industrial intelligence to work
- City of Salem
- Qatar Foundation
- ACCIONA
When insight becomes foresight
Like any other major city, Salem, Oregon, needs to keep its water supply clean – and its citizens safe.
After toxins from harmful algae blooms in Detroit Lake contaminated Salem’s drinking water, authorities needed to find a new way to ensure a safe water supply.
The City of Salem set out to help its teams collaborate more closely and empower them to:
- Aggregate and centralize new sources of data
- Forecast harmful algae blooms
- Use analytics and predictive modelling to improve water quality
Traditionally, the City of Salem had taken a reactive approach to managing the naturally-occurring blooms but it was clear this could not continue. Authorities turned to technology to better understand their ecosystem and hired CASNE, an AVEVA partner, to help build a prediction system to understand the factors that caused the algae to bloom.
The City had a fairly new [AVEVA] PI System at the time and I really began to think, what could be done with PI as a backbone system… could we build a harmful algae bloom prediction system?
The software behind the science
The first step for the City of Salem was to gather a slew of new data including algae levels, water depth, weather data, water turbidity, satellite imagery, and lab samples. With all this new information incoming, it was time for the city to make the most of every single data point.
Using AVEVA software, authorities were able to aggregate and centralize the data – making it easily accessible from a web browser to mathematicians and ecologists, as well as external partners. With this real-time information at their fingertips, scientists could now start building models to predict when algae would bloom.
A clear view of the problem
Operators now receive a warning a week before algae start to bloom, giving them an indication that they need to take action – be it by adding a filter or redirecting the water flow. With data transparency increasingly important for public water services, lake data is now easily accessible to community partners.
By putting industrial intelligence to work, the City of Salem’s technical teams and scientists have made the city’s drinking water safer than ever.
How do you do collaboration well? The cloud. It’s not just your people and partners but all your systems.
When centralizing becomes energy-saving
To help meet its sustainability targets, Qatar Foundation wanted to build a smarter city.
The non-profit’s flagship Education City development is a 12km2 campus boasting more than 45 buildings, a hospital, and the famous Lusail Stadium, home of the 2022 FIFA World Cup Final. However, a mosaic of disparate building management systems meant inefficiencies were everywhere.
To lower Education City’s carbon footprint, innovation was imperative to:
- Increase operational efficiency
- Reduce energy consumption
- Build a resilient, scalable system
Qatar Foundation looked to AVEVA software to help them collect data from right across the campus – and consolidate it into one operating platform.
We want to utilize AVEVA Operations Control as the cornerstone for our digital transformation into a smart city and meet the Qatar National Vision 2030 in terms of reducing our carbon footprint and minimizing our energy consumption.
45 facilities under one roof
Built on AVEVA software, Education City engineers established two central command centers for the north and south of the campus.
These live environments consolidate the management systems of over 45 separate buildings, enabling operators to zoom in and analyze the performance of individual facilities – and zoom out to see how the entire campus is running.
With the bigger picture now in focus and new, advanced monitoring, control, scheduling and reporting capabilities, Qatar Foundation’s teams can optimize campus operations and hit new levels of energy efficiency.
Achieving optimal energy efficiency
Education City is already benefiting from quicker maintenance and optimization decisions, lower operating costs, and simplified operator training – saving time, money, and most importantly, energy.
In Qatar’s desert climate, cooling is a major contributor to Education City’s carbon footprint. But now, thanks to better visibility, the Foundation has reduced energy consumption by 5.5% across its cooling facilities, while saving plenty of water in the process.
By putting industrial intelligence to work, Education City is now a more resilient, flexible, and scalable place to live and work. Qatar Foundation’s next goal is to extend the data platform across the entire campus and complete Education City’s digital transformation by 2025.
The facility managers are in a position to tune better the performance of the buildings and achieve better sustainability goals.
When necessity becomes ingenuity
With clean, fresh water becoming increasingly scarce, supply for future generations rests on developing more efficient processes today.
This is an enormous challenge. And as a global leader in the water treatment sector, ACCIONA is ready to meet it.
ACCIONA’s goals were crystal clear:
- Cut emissions by improving energy efficiency
- Enhance production processes to preserve precious resources
- Minimize environmental impact
To achieve this, ACCIONA looked to AVEVA software to help develop a set of digital solutions to collect, contextualize, and analyze data. These solutions would help technicians fine-tune operational performance while using less energy.
Water scarcity today means that efficiency in water production and treatment processes is no longer a choice; it's an obligation.
Bringing teams and technology together
Using AVEVA software, ACCIONA developed CECOA – an innovative central control center that remotely monitors, collects, and visualizes data from its plants around the world. This gives ACCIONA’s teams real-time operational information enriched with AI-infused insight.
CECOA serves as a meeting point that brings ACCIONA teams and technology together. It harnesses AVEVA’s capabilities to help technicians see real-time data in the context of past performance – and then applies machine learning to enable better decision-making and help keep performance in line with the sector’s rigorous monitoring KPIs.
Integrated information, huge impact
With AI and machine-learning algorithms at the heart of its analytics, ACCIONA can anticipate deviations in production, correct poor performance, and radically reduce chemical use in its treatment processes. Accurately predicting equipment behavior and optimizing processes has already helped cut 4.6% in energy consumed by the high-pressure pump.
By putting industrial intelligence to work, ACCIONA is empowering its teams to act more quickly and confidently to improve water services for communities around the world, all while lowering emissions. Its journey to securing the supply of clean water for generations to come is well underway.
AVEVA provides a collaborative, standards-based foundation that unifies people, processes, and assets across all facilities for continuous operational improvement.
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