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Using Technology and Data to Make Environmental Sustainability a Reality

Learn the tools that will help facility managers comply with emerging regulations in this NFMT Baltimore session



Environmental sustainability, climate change, and energy markets make headlines every day. It’s a business imperative for publicly traded companies. It’s a regulatory compliance requirement in dozens of cities and states where many public and private companies will be required to report energy use, climate impacts, and environmental risks.

Environmental sustainability takes shape differently in each industry. Challenges faced in food processing and transportation differ from the environmental management needs of mission-critical buildings like data centers, life sciences laboratories, and multi-building campuses.

While there isn’t a one-size-fits-all solution for every industry or business, there are critical considerations for facility managers when deciphering mandates and making decisions that are responsible for the environment and good for business.

In this presentation from NFMT Baltimore, Larry Wash, CEO of Albireo Energy, discusses emerging regulations at state and local levels, such as high-performance building acts, benchmarking laws, and clean buildings acts, all aimed at reducing energy consumption and environmental footprint.

The best way for facility managers to comply with these regulations is to simplify their approach to managing data by focusing on quantitative reporting and demand-side and supply-side analytics. This includes understanding energy usage patterns, setting performance improvement targets, and managing utility bills for anomalies.

In addition to knowing their energy usage, maintaining business continuity is the crux of the facility manager's role. They have to manage risks and ensure uptime and resiliency in their buildings. Preventing, detecting, and remediating disruptions through effective crisis management processes is key.

To help with these challenges, facility managers can turn to technology such as alarm management, fault detection with diagnostics, and targeted AI and machine learning applications.

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Operational Efficiency