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The Implications of a Data Driven–Built Environment

Edited by Edited by Annals of the New York Academy of Sciences editorial staff
The Implications of a Data Driven–Built Environment

Published: August 2013

Volume 1295

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This Annals issue showcases the proceedings of the conference “Implications of a Data-Driven Built Environment,” presented by the New York Academy of Sciences’ Green Buildings Discussion Group on May 30, 2012. Contributors to the issue are leaders in energy, building management, real estate, sustainability, and industry, and discuss how large data sets can be harnessed to improve energy management in the built environment. Topics covered in this issue include the use of emerging data-rich analytic techniques in infrastructure, and analytical tools to assess energy consumption in building portfolios; assigning spatially and temporally unique identifiers to buildings and spaces; the significance of energy disclosure requirements and a framework for using these sources of publicly available information; agent-based simulation and its potential as an approach to support improvements in the built environment; and an advanced building energy management system (aBEMS) that enables identification of gradual and discrete performance erosion and faults.