OPTIMIZING WATER TREATMENT INFRASTRUCTURES
WITH ARTIFICIAL INTELLIGENCE
INTRODUCING: PANI DIGITAL
Pani Digital is an operational intelligence software platform for optimizing
desalination and waste-water treatment plants. Adaptive technology integrates with existing equipment and control systems, providing a holistic decision support dashboard, showing plant owners and operators how to optimize their plant's energy consumption, chemical usage, up-time, equipment lifespans, and operational costs.
Collects and analyzes data
Saving time, reducing error, and
finding optimum set-points
Provides prescriptive feedback
Real-time recommendations and
insights to help operators make the
right decisions at the right time
Improves plant efficiency
Reducing operational expenses
(OPEX) up to 30%
INFORMED BY THE INDUSTRY
6+ years of research and development
100+ in-depth interviews with plant owners and operators
Fortune 500 early adopters
Running a water treatment plant processing thousands to millions of liters of water per day is a complex operation. Plant owners and operators often don't have the tools or the time to analyze and optimize for operating set-points, and current monitoring technologies, SCADA and HMIs, don't have the computational power to help optimize operations.
Pani Digital solves operational complexity to address major challenges like:
ADDRESSING THE BIG PICTURE
Fresh water supply is lagging behind demand. Business-as-usual approaches won't be enough to keep up. To meet the growing demand, we will see tremendous growth in desalination, wastewater treatment, and re-use.
Closing the gap calls for
innovation at the fundamental
process level of water infrastructures.
Innovation that reduces
the energy, chemicals,
carbon emissions and costs associated with producing
2030 Water Resources Group - Global Water Supply and Demand model; IFPRI: FAOSTAT
At Pani Energy, we see opportunities
in the complexities of water processes
by leveraging decades of domain
expertise with advanced technologies
like machine learning, process
modelling, and cloud computing.
Applying new technologies to desalination, wastewater treatment and reuse processes allow these operations to approach their practical theoretical optimum. Providing up to 30% reduction in operational resource requirements.
Adaptable and intelligent system design using the plant's current existing off-the-shelf components and utilizing Machine Learning to lift the state of the art in desalination and waste water treatment plants. Seamless integration, no disruption.
Artificial Intelligence processes plant data along with advanced modeling techniques to provide actionable insights on how to prevent plant upsets, enhance component health, identify operational anomalies, and improve overall plant performance.