PS24084 - RAF018/2425 - Refresh of Industry Decarbonisation Technology Modelling Assumptions

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Buyers

Value

£135,304

Classifications

  • Research and development services and related consultancy services

Tags

  • award

Submission Deadline

3 months ago

Published

2 months ago

Description

***** THIS IS AN AWARD NOTICE, NOT A CALL FOR COMPETITION *****

This procurement is being concluded following a mini competition under the CCS RM6126 Research & Insights DPS.

Brief Description of Requirement

The aim of this project is to update and improve our current industry decarbonisation technology evidence base and modelling assumptions used to inform NZIP2. To date most our technology assumptions have been derived from the UK TIMES energy system model and UKERC Useable Energy Database. This research will seek to address gaps in our current evidence base, gather new data on decarbonisation technologies, and provide a sustainable long-term approach to updating our modelling assumptions.
The research will cover decarbonisation technologies utilised in 16 industrial sectors: cement, ceramics, chemicals, construction, electrical engineering, food & drink, glass, hydrogen generation, iron & steel, lime, mechanical engineering, non-ferrous metals, paper, refineries, textiles, and vehicles; as well as 'other industries' 
In our approach to modelling industrial processes within NZIP2, we have streamlined the process. Like many models, simplification is necessary to manage complexity, improve interpretability, and facilitate efficient computation. Annex B provides an overview of the technologies employed in the model, categorised by industrial sector, for modelling industrial processes (including flow diagrams for selected processes).
For cross-cutting technologies, we have assumed that each technology type can be characterised by a single set of parameter assumptions. For example, whether it is a hydrogen boiler used in the chemicals industry, or one used in the ceramics sector, we have applied the same set of assumptions. This research will determine if this approach is reasonable and identify any specific cross-cutting technologies that may require bespoke assumptions for certain industry applications.

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