What are Siemens’ strategies for real estate decarbonisation?


Reducing the carbon footprint of buildings and enhancing sustainability are fast becoming business critical issues for institutional real estate investors. But in order to implement an effective green strategy to lower one’s carbon footprint, having access to detailed building performance data and analytics is vital. Siemens is able to achieve this to help investors enhance the value of their real estate portfolios…

Towards low carbon real estate

On average, energy consumption accounts for 40% of the lifecycle costs of buildings. For those wishing to optimise their real estate and demonstrate green credentials, and compliance with global standards, such as Europe’s Energy Efficiency Directive (EED) and LEED (Leadership in Energy & Environmental Design), commonly used in the US, Siemens is able to plot a path to greater transparency and performance…

The power of big data

To connect buildings and foster smart buildings, in February 2016, the Siemens Buildings Technologies Division partnered with IBM to maximise the potential of connected buildings and the data they create to empower real estate owners and operators to drive business results and meet building-related KPI’s. As a result, Siemens develops integral solutions with IBM‘s software suites Maximo (asset management) and TRIRIGA (workplace management) and envisages use cases to apply Watson IoT analytics. A cognitive building can anticipate, respond, and adapt…

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[Admin: As a thought-provoking counterpoint, the following piece reveals a mathematical flaw in current climate models that are supposed to predict the rate of global warming for every doubling of carbon dioxide (CO2) in the air.]

Carbon scare is over?

In December 2016, Lord Christopher Monckton reveals a breaking discovery which may prove the entire “climate change” scare is based on faulty mathematics. At the “Global-Warming; an Inconvenient Lie” conference in Phoenix, AZ, Lord Monckton covers in-depth the mathematical discovery his team has made and announces that these findings have been submitted for proper peer review…

20161208a

[Admin: At time index 3:29, the 4.5 K value is highlighted. But looking at Lord Monckton’s London presentation from September 2016, the 2.2 K should be highlighted instead. Basically, the flaw was taking the mid-value of T (at 3.0 K) on the y-axis, instead of taking the mid-value of F (at 0.485) on the x-axis. That’s what he means by “the wrong end of the curve” or the wrong axis. So by using the F of 0.485, the curve gives a much lower T of 2.2 K. Then 2.2 K should be highlighted.]

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