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Document IIF

From consumption to capacity: demand-oriented forecasting of cold storage needs for a net-zero UK food chain.

Numéro : 18300

Auteurs : WU W., LOPEZ-QUIROGA E., WANG X.

Résumé

Achieving net-zero emissions in the UK food supply chain requires accurate forecasting tools to guide infrastructure planning and identify potential mitigation pathways. This study proposes a demand-oriented, time-series forecasting approach that estimates future cold storage requirements based on household consumption of chilled and frozen foods. Consumption data have been retrieved from the 2024 edition of the UK Family Food Dataset provided by DEFRA, comprising last 50 years of longitudinal data. Model selection follows the Box-Jenkins methodology to identify optimal Autoregressive Integrated Moving Average (ARIMA) model configurations across nine major cooling food categories. By shifting from traditional supply-side extrapolation to consumption-driven forecasting, this research introduces a novel framework grounded in consumer behaviour. The resulting projections offer a robust empirical basis for anticipatory cold chain capacity planning, reducing the risk of overcapacity and associated emissions, and supporting more adaptive, demand-responsive decarbonization strategies in line with national climate targets.

Documents disponibles

Format PDF

Pages : 12 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : From consumption to capacity: demand-oriented forecasting of cold storage needs for a net-zero UK food chain.
  • Identifiant de la fiche : 30034719
  • Langues : Anglais
  • Sujet : Chiffres, économie, Environnement
  • Source : 9th IIR International Conference on Sustainability and the Cold Chain. Proceedings: April 12-14 2026
  • Date d'édition : 04/2026
  • DOI : http://dx.doi.org/10.18462/iir.iccc.2026.8300

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