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Schneider Electric and AVEVA partner to focus on sustainability in mining
Industry News- Jul 20,21
Schneider Electric and AVEVA’s solutions prove to drive industrial sustainability initiatives. It will focus on energy efficiency, yield improvement, low greenhouse emission technology adoption and new green processes
New Delhi
Schneider Electric and AVEVA announced their combined technology offerings to support the sustainability initiatives of mining companies in four key pillars: energy efficiency, yield improvement, low greenhouse emission technology adoption and new green processes.
Both companies are providing the tools that will help organisations make informed decisions. These decisions that have sustainability in mind will empower people across the mining, minerals, and metals value chains. The tools will help tackle challenges associated with adopting sustainable practices and result in reduced operating costs.
According to an IDC Technology Spotlight, sponsored by AVEVA and Schneider Electric, titled, Transitioning to Sustainable Mining, Minerals and Metals Practices, the top three market pressures driving the sustainability agendas of mining and metals organisations are:
- Need to improve brand equity
- Reduce the risk of an adverse event
- Ensure compliance with current and future regulations
According to the IDC Technology Spotlight, Schneider Electric’s EcoStruxure™ platform combined with AVEVA’s Digital Mining and Metals Transformation solutions can provide the operational and organisational insight required to make sustainable operations and improved decisions through the collection and analysis of data. The partner companies aim to decarbonise the mining, minerals and metals value chains through the provision of an industrial IoT platform with technology and software elements supporting the capability for energy management and automation.
Schneider Electric
AVEVA
sustainability initiatives
energy efficiency
mining companies
minerals
metals value chains
IDC Technology Spotlight
industrial IoT platform
energy management
automation
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