scholarly journals Material intensity database for the Dutch building stock: Towards Big Data in material stock analysis

2021 ◽  
Author(s):  
Benjamin Sprecher ◽  
Teun Johannes Verhagen ◽  
Marijn Louise Sauer ◽  
Michel Baars ◽  
John Heintz ◽  
...  
Keyword(s):  
Big Data ◽  
Building Stock ◽  
Stock Analysis ◽  
Material Intensity

Big data GIS analysis for novel approaches in building stock modelling

2017 ◽  
Vol 208 ◽  
pp. 277-290 ◽  
Author(s):  
René Buffat ◽  
Andreas Froemelt ◽  
Niko Heeren ◽  
Martin Raubal ◽  
Stefanie Hellweg
Keyword(s):  
Big Data ◽  
Gis Analysis ◽  
Building Stock ◽  
Novel Approaches

Grouping techniques for building stock analysis: A comparative case study

2021 ◽  
Vol 236 ◽  
pp. 110754
Author(s):  
Solène Goy ◽  
Volker Coors ◽  
Donal Finn
Keyword(s):  
Comparative Case Study ◽  
Building Stock ◽  
Stock Analysis

scholarly journals Big Data Value Chain: Multiple Perspectives for the Built Environment

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4624
Author(s):  
Gema Hernández-Moral ◽  
Sofía Mulero-Palencia ◽  
Víctor Iván Serna-González ◽  
Carla Rodríguez-Alonso ◽  
Roberto Sanz-Jimeno ◽  
...  
Keyword(s):  
Big Data ◽  
Built Environment ◽  
Value Chain ◽  
Energy Demand ◽  
New Technologies ◽  
Real Life ◽  
Multiple Perspectives ◽  
Energy Aware ◽  
Building Stock ◽  
Data Value

Current climate change threats and increasing CO2 emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decarbonised future. By combining new technologies, such as artificial intelligence, Internet of things, blockchain, and the exploitation of big data towards solving real life problems, the way could be paved towards smart and energy-aware buildings. In this context, the aim of this paper is to present a critical review and an in-detail definition of the big data value chain for the built environment in Europe, covering multiple needs and perspectives: “policy”, “technology” and “business”, in order to explore the main challenges and opportunities in this area.

Building-Stock Analysis for the Definition of an Energy Renovation Scenario on the Urban Scale

2016 ◽  
pp. 33-54
Author(s):  
Dagmar Exner ◽  
Valentina D’Alonzo ◽  
Giulia Paoletti ◽  
Ramon Pascual ◽  
Roberta Pernetti
Keyword(s):  
Building Stock ◽  
Stock Analysis ◽  
Definition Of

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

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