The present study uses an original dataset on four large energy-efficient (EE) appliances and provides a methodology for:i) mapping components related to energy efficiency improvements; ii) mapping their evolutionover time; iii) testing technological fungibility of those components. Our analysis model exploits an original patent selection process and the concept of technological relatedness using co-occurrences analysis of patent classes as an input for Self-Organising Maps -an unsupervised artificial neural network able to represent high-dimensional data in visually-attractive and low-dimensional distance-based maps. The results confirm the pervasive nature of EE to be nested in many technological components. In addition,weshowthat a de-materialisation process affected the evolution of EE technologies over time, in a technological space characterised by high level of complexity and variety

Mapping technological advances on energy efficient components. The case of domestic appliances

Palma A;
2015

Abstract

The present study uses an original dataset on four large energy-efficient (EE) appliances and provides a methodology for:i) mapping components related to energy efficiency improvements; ii) mapping their evolutionover time; iii) testing technological fungibility of those components. Our analysis model exploits an original patent selection process and the concept of technological relatedness using co-occurrences analysis of patent classes as an input for Self-Organising Maps -an unsupervised artificial neural network able to represent high-dimensional data in visually-attractive and low-dimensional distance-based maps. The results confirm the pervasive nature of EE to be nested in many technological components. In addition,weshowthat a de-materialisation process affected the evolution of EE technologies over time, in a technological space characterised by high level of complexity and variety
energy efficiency
Self-Organizing Maps
innovation
patent analysis
electrical appliances
ICTs
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12571/7595
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact