Energy in Action! — modeling

The BIG Need for Energy Efficiency in Data Centers

Posted by Brian Thumann on

Data centers are the backbone of the digital economy, supporting everything from cloud services and e-commerce to healthcare and banking. However, their growth has come at a significant environmental and energy cost. Data centers globally consume vast amounts of electricity, much of which is still sourced from fossil fuels, making them a major contributor to emissions. According to McKinsey & Company, a recent analysis of current trends suggests that global demand for data center capacity could rise at an annual rate of between 19% and 22% from 2023 to 2030 to reach an annual energy demand of 171 to 219 gigawatts. Recent headlines...

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Measurement & Verification & IPMVP: Promoting Energy Efficiency Throughout Projects

Posted by Brian Thumann on

Measurement & Verification Planning is conducted in the Energy Efficiency Planning, Install, as well as Maintain Phases of and energy savings project lifecycle.  Attendees to the course Energy Savings Measurement & Verification (M&V) and IPMVP (International Measurement Verification Protocol), will explore various energy management and building operation techniques which can be used by building owners, operators, energy managers, energy engineers, M&V data analysts, facility managers and energy efficiency project investors to bolster energy efficiency implementation and for the following value-added purposes: Increasing Energy Savings and Energy Efficiency Implementation:Accurate determination of energy savings gives building owners (end users), and facility managers...

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How a Building’s Digital Twin Combined with AI Can Improve Efficiency, Security & Performance

Posted by Brian Thumann on

A building's digital twin is a virtual replica of a physical building that can be used to simulate and analyze the building's performance in various scenarios. Digital twins use data from sensors, building management systems, and other sources to accurately represent the building's characteristics, such as its layout, systems, and materials. Artificial intelligence (AI) can be used to help manage a building's digital twin by analyzing the data from the digital twin and identifying opportunities to increase energy efficiency, optimize systems performance, and improve building occupancy comfort. For example, AI algorithms can be used to analyze the data from a...

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