Feature
Some of the greatest opportunities to boost sustainability lie within industrial facilities. Global production sectors are responsible for one-fifth of carbon emissions4
, consuming over
half (54%) of the world’s energy sources. Therefore, industry must automate its machinery and monitor its manufacturing processes to ensure energy usage is measured, managed, and minimised.
Implementing Sustainable Building Upgrades
The process of power digitalisation begins with the installation of smart devices throughout a building. Wireless thermal sensors, intelligent power protection devices (controllers, relays, and trip units), correction devices (that help address power factor, voltage imbalance, and harmonics), and monitoring devices (like power quality meters and energy meters), are the building blocks of an effective smart building electrical system.
Then, integrated energy and power management system
(EPMS) software collects energy consumption, power event, and electrical asset performance data to help streamline and automate system management. Building operators also enjoy far clearer visibility of behavioural trends and anomalies, pre-empting maintenance and minimising the risk of failures, downtime, and even fines.
The rise of smart buildings has transformed the management and efficiency of electrical systems. Greater connection and data intelligence enables optimised energy usage by highlighting when, where, and why waste is occurring.
Take leading US-based glass manufacturer Guardian Glass, which faced monthly
penalties due to its failing banks. Installing a range of smart building solutions5
capacitor enabled
the company’s building managers to measure, in real time, the performance of the capacitors. And ever since, Guardian Glass has avoided hundreds of thousands of dollars in utility surcharges.
Maximising the operational efficiency of machinery
Digital management technologies can even help to reduce physical
waste and pollution. By reviewing performance,
and predicting optimal repair and refurbishment cycles, the software helps businesses to extend the productive capabilities and lifetimes of tools and machinery, while curbing failures and downtime. This condition-based maintenance boosts both operational and energy efficiency via optimised material usage, slashing carbon footprints further.
A recent real-world example is Nestlé Nescafé. The coffee production heavyweight installed smart technologies6
that
use artificial intelligence and analytics to monitor equipment and predict system failures. By implementing power system monitoring and control across 80% of its global facilities, the company estimates it will cut maintenance costs by 5% and raise equipment performance by as much as 7%. Nestlé also expects this approach will reduce its 2023 manufacturing energy consumption by 5%—enabling the company to simultaneously accelerate its resilience, measures.
cost-efficiency, and sustainability
The integration of intelligent building services has emerged as a transformative force, enabling sustainable and resilient energy practices. It’s important that facilities managers embrace intelligent building services to not only improve operational efficiency but also positions themselves as leaders in driving positive environmental change and meeting sustainability goals.
1:
https://protect-eu.mimecast.com/s/aRIFC0V9kTr9Xo4HwteeD?domain=
venturebeat.com/
2:
https://www.scmp.com/business/article/3210811/climate-change-and-sustainability-asian-firms-need-embrace-digital-technologies-deliver 3:
https://www.se.com/us/en/work/campaign/buildings-of-the-future/
4:
https://www.weforum.org/impact/carbon-footprint-manufacturing-industry/ 5:
https://www.youtube.com/watch?v=2Thft9B4Tec 6:
https://www.youtube.com/watch?v=79ISG72VT9M
fmuk 25
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44