Vol. 29 No. 1 (2025): BEYOND DECARBONIZATION toward a Climate Neutral urban environment
Essays and Viewpoint

Post-decarbonisation and Generative Artificial Intelligence. Towards a possible methodology

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  • Angelo Figliola,
  • Maurizio Barberio
Angelo Figliola
Dipartimento di Pianificazione, Design, Tecnologia dell’Architettura, La Sapienza Università di Roma, Italia
Maurizio Barberio
Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Italia
DOI: https://doi.org/10.36253/techne-16538

Published 2025-07-31

Keywords

  • Generative artificial intelligence,
  • Sustainable-Aided Design,
  • Data-Driven,
  • Decarbonisation,
  • Methodology

How to Cite

Figliola, A., & Barberio, M. (2025). Post-decarbonisation and Generative Artificial Intelligence. Towards a possible methodology. TECHNE - Journal of Technology for Architecture and Environment, 29(1), 127–136. https://doi.org/10.36253/techne-16538

Copyright (c) 2025 Angelo Figliola, Maurizio Barberio

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

The recent introduction of Generative Artificial Intelligence tools in architectural design has simultaneously opened new possibilities and raised questions about their appropriate use in holistic design processes, such as those related to environmental design. Avoiding the uncritical adoption of these tools is essential in a post-decarbonisation context, where the goal is to drastically reduce CO2 emissions and promote regenerative practices. Therefore, this paper proposes an operational methodology that integrates such tools within Sustainable-Aided Design, a holistic approach aimed at bridging the gap between architectural design and environmental design from the ultra-early stage of the design process.

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