MONITORING & METERING
pipe infrastructure, for both metallic and concrete pipes. This means more accurately locating leaks to reduce shutdown and excavation times, allowing operators to carry out repairs efficiently to save time and money in the long term.
REDUCING ENERGY USED FOR WASTEWATER TREATMENT Removing organic and inorganic contaminants from effluent to be reused in plant processes or released into the environment or sewer system poses the dual challenge of minimising energy usage (and costs) while maintaining regulatory compliance. As a result, there is significant scope for optimisation by introducing equipment with decision intelligence built-in, to boost efficiency and improve carbon footprint along with the bottom line. Adaptive mixers can vary performance to meet the demands of different treatment processes for
A condition-based maintenance approach
can improve asset reliability, prevent risks and failures and optimise efficiency. These are capable of detecting upcoming failures with electrical waveform analysis and AI to help prioritise service and prevent unplanned downtime. Applications include high-value boosters and aeration air blowers, complex assets like ground water submersible pumps, or critical surface cleaning pumps.
REMOVE THE GUESSWORK The use of water and energy is inextricably related for industrial plants; and monitoring, controlling and then optimising these aspects is a challenge. But it’s a call that needs answering, with the need to conserve water and limit energy usage more vital than ever. With optimisation a goal for every sector, that
“The used of water and energy is inextricably related for industrial plants; and monitoring, controlling and then optimising these aspects is a challenge. But it’s a call that needs answering, with the need to conserve water and limit energy usage more vital than ever”
Guy Fitzpatrick
efficient, streamlined, and optimised mixing in all conditions. The
most advanced options have an integrated drive and advanced control capabilities, including full automation, to offer full control over mixing or the ability to self-regulate. By continuously adjusting the output to the actual demand, adaptive mixers can save costs and optimise process efficiency to reduce energy costs by up to 50%. In addition, the next level of wastewater pumping
systems also offer integrated intelligence to deliver proven reliability at the lowest total cost of ownership, while reducing energy consumption to help achieve sustainability goals. The system can sense the operating conditions of its environment and adapt performance to slash energy usage – plus functions like built-in sump and pipe cleaning, integrated pump cleaning function and self- cleaning hydraulics mean clog-free operation and a huge reduction in service and maintenance costs.
NEED AN EXTRA HELPING HAND? Smart preventative maintenance agreements can be tailored to the criticality of failure of sites to provide a cost-effective way to reduce site maintenance needs by leveraging remote site monitoring. Combining insights with a condition- based maintenance schedule can reduce the risk of unplanned downtime by keeping track of assets' operating status in real-time. This is taken to the next level thanks to new
innovations in smart asset management that can connect to any electrical-driven asset to provide live data and enable plant operators and asset management maintenance teams to optimise the technical operation, energy consumption and maintenance efficiency across the whole water cycle within industry.
www.energymanagementmag.co.uk
needs to be built on a solid foundation of meaningful information derived from data that can then inform decisions based on real-time information to bring real value.
The smart solutions detailed are capable of
identifying opportunities for improved efficiency, productivity and overall process optimisation, powered by artificial intelligence and operational data sources. They ensure real-time monitoring and powerful data analytics provide useful insights that remove the guesswork and worry from industrial water and fluid management systems, so sites can run at peak efficiency all the time.
Xylem
www.xylem.com/en-uk
SOLAR DATA QUALITY MANAGEMENT A
s solar portfolios grow in size and complexity, so does the challenge of managing the consistency and quality of measured
solar data streams during project development and operation. The scale of this challenge is significant, as most solar projects worldwide suffer in some way from unreliable solar resource data. However, it is estimated that 70% of solar resource analysts worldwide are still using spreadsheets or other non-specialist tools designed for other technologies to manage their solar data. To help, Solargis has released a software platform designed specifically for visualisation, quality
management and analysis of solar data. Called Solargis Analyst, this aims to empower solar engineers and decision-makers to improve the efficiency of complex resource analysis, identify and fix errors in measurements, and ultimately improve their technical and financial decisions. Solargis Analyst has been developed as a materialisation of the knowledge and experience of the
Solargis team, working with solar measurements for over 1000 sites worldwide. The early development process has been supported by the solar resource analysis team at pilot customer, Iberdrola. The result is a user-friendly platform for effective management, visualisation and analysis of
solar resource and meteorological data – reducing analysis time, simplifying complex data analysis procedures and facilitating teamwork. In turn, the platform enables users to tackle all the most common quality management challenges, including unreliable, incomplete and inconsistently formatted data, while meeting demand from the industry for tools specifically based on solar physics and advanced data science. Elena Rodríguez, solar resource analyst at Iberdrola, said: “As we aim to conduct best-practice
solar measurement and data analysis campaigns for our growing global asset base, it’s imperative that we empower our solar resource analysis team, so that we can collectively have confidence in the quality of the data that underpins our strategic decision-making. Solargis has successfully delivered a software platform that helps us meet this objective and will no doubt contribute to improved data quality standards across the sector.”
1
https://www.water.org.uk/blog-post/ 2
https://www.water.org.uk/routemap2030/
Solargis
https://solargis.com/analyst
ENERGY MANAGEMENT - Summer 2022
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