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Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

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Targeting a low carbon estate.

Thomas Briault¹

¹Ove Arup and Partners, London.

Health Estate

|November 17, 2009

Summary

A new statistical model helps building owners identify cost-effective sustainability improvements for large estates. Developed by Arup, it addresses carbon reduction targets and considers future economic factors.

Area of Science:

Building Sustainability
Environmental Engineering
Statistical Modeling

Background:

Global professional services consultancy Arup addresses the Climate Change Act's 2050 carbon reduction targets.
Owners and occupiers of large estates require cost-effective methods for improving building sustainability.

Purpose of the Study:

To develop a statistical model for identifying the most cost-effective sustainability improvements in buildings.
To enable owners and occupiers of large estates to plan for current and future sustainability needs.

Main Methods:

Development of a statistical model by Arup's sustainability specialists.
Utilization of data collated by the Carbon Trust.
Inclusion of uncertain variables such as future economic growth.

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Main Results:

The model enables identification of cost-effective sustainability improvements for large building estates.
The model provides a framework for both present and future sustainability planning.

Conclusions:

The developed statistical model offers a practical tool for enhancing building sustainability cost-effectively.
The model's ability to incorporate future uncertainties makes it a valuable asset for long-term strategic planning.