Overview of Hydrogen TCP, Task 41. Introduce discussion points from the hydrogen TCP
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This document provides an overview of the IEA Hydrogen TCP Task 41, which aims to improve hydrogen modeling and collaboration with the ETSAP community. It has four subtasks: a) consolidating hydrogen technology data, b) developing knowledge on modeling hydrogen in energy systems, c) collaboration with IEA analysts and ETSAP, and d) providing updated parameters for hydrogen technologies. The task will provide a database, examine modeling approaches, and establish closer collaboration to represent hydrogen technologies and value chains more accurately in energy system models. It seeks to understand ideal modeling tools and represent interconnectivity while focusing on tools like TIMES.
Overview of Hydrogen TCP, Task 41. Introduce discussion points from the hydrogen TCP
- 1. Overview of Hydrogen TCP Task 41 ETSAP workshop - SESSION 5: COLLABORATION WITH IEA HYDROGEN TCP Arne Lind 17/12-2020 ETSAP workshop
- 2. Description of task 41: 2 • Task 41 is the successor to Task 38 (Power-To-Hydrogen and Hydrogen-To-X) and Task 30 (Global Hydrogen Systems Analysis) • The task has four subtasks, each contributing to the overall goal of providing updated parameters describing Hydrogen technologies, as well as to develop knowledge of how to model Hydrogen in the value chain • Establish a closer collaboration between the Hydrogen TCP and the ETSAP analysis community • The project period is until the end of 2021
- 3. Hydrogen – value chains 3 NB! Not the complete picture
- 4. Main objectives of task 41 4 • To provide an updated database on Hydrogen technologies • Improved knowledge of how to model Hydrogen in the value chain • Establish a closer collaboration between the Hydrogen TCP and the ETSAP analysis community
- 5. Sub-tasks 5 • Sub-task a) Data consolidation of parameters describing hydrogen technologies • This task complements subtask b as it aims at establishing the data structure and the acquisition process supporting a sustainable database to fuel the relevant models for Hydrogen in the value chain • Sub-task leader: Laurence Grand-Clement (Persee) • Sub-task b) Develop knowledge of how to model Hydrogen in the value chain and improve current methods • The objective of this subtask is to obtain knowledge regarding the features of an ideal hydrogen modeling tool • Sub-task leader: Rob Dickinson (Hydricity Systems) • Sub-task c) Collaboration with analysts in IEA HQ Analytics and the ETSAP community • Sub-task leader: Paul Dodds (UCL)
- 7. Subtask description 7 a) Data consolidation of parameters describing Hydrogen technologies • This task complements subtask b as it aims at establishing the data structure and the acquisition process supporting a sustainable database to fuel the relevant models for Hydrogen in the value chain: • Establishing a database and its underlying infrastructure • Enable the techno-economic description of the different process steps of a supply chain as well as the market/end-use for hydrogen • Populating the database with up-to-date data sets and, in parallel, structuring a sustainable acquisition process • Will rely on a structured methodology (validation of data)
- 8. Subtask description 8 a) Data consolidation of parameters describing Hydrogen technologies • Will cover various hydrogen value chains focusing on generation/processing, storage, distribution and market/end-use • Both conventional and renewable sources will be covered • Data from task 30 and task 38 will be used and dialogue with other TCP tasks will carried out • The following prerequisites will be thoroughly addressed as a part of the subtask: • Which data are needed for TIMES models? Under which format? • What are the Spatial and temporal resolution needed? • How do we qualify data sources? • How do we handle confidential data, or how can we anonymize it? • How do we ensure representative data of hydrogen technologies/markets? • How do we define boundary conditions for the provided data, and ensure alignment with other data sources?
- 9. Which data? Further to the high level boundary definition 9 M Ĥ E F U L X 5 s l Units Field data Techno-economic parameter of a HFC technologies Macro-economic and boundary data. Legal & Regulatory rules System analysis parameters N
- 10. Wich data Which time/geographical horizon should we consider? 10 Past data Ongoing data 2020-2023 Prospective data 2025-2030-2050 2010-2020 ? Time of elaboration Time of validity 2020
- 11. How to? Add a data point/set 11 EGON www.business.com © 2050 Business PowerPoint Template. All Rights Reserved. 11 Project, litterature, own research/experience Acquisition Peer review Vote/Upvote Visual check Interpolation Validating Effective addition Adding Using services like Endnote or Zotero Referencing Adapting to the database structure, format, rules Formating CO2 price
- 12. Resources – Work in progress 12 Dedicated teams for each deliverable -> Sub Task A – Proposed deliverables -> D1a: Assessment of existing data sets supporting existing approaches to modelling hydrogen in energy systems -> D2a: Review of existing data management practices with the IEA. This involves tools, systems, processes, people organisation (roles and responsibilities),... -> D3a: Definition of desired data sets to support improved approaches to modelling hydrogen in energy systems and corresponding data management practices -> D4a: Data sets to support improved approaches to modelling hydrogen in energy systems and corresponding data management practices -> D5a: Data sets to support the evaluation of the impact of electrolyser participation in system security markets on the consumption prices
- 13. Sub-task B How to model Hydrogen in the value chain 13
- 14. Subtask description 14 b) Develop knowledge of how to model Hydrogen in the value chain and improve current methods • Obtain knowledge regarding the features of an ideal hydrogen modeling tool • Study how to appropriately represent technologies and inter-sectoral connectivity in the optimal way • Study how various groups model hydrogen technologies • Main focus will be on TIMES models, but other model approaches are included • Advantages/disadvantages with various model approaches will be described • Study what components of the “ideal” framework that can realistically be included in TIMES (and other model approaches) • Will focus on temporal and spatial resolution, technologies and inter-sectoral connectivity, consumer behavior, model transparency and user-friendliness
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- 16. Sub-task C Collaboration with IEA HQ and ETSAP 16 © Diagram from Paul Dodds
- 17. ETSAP Modelling of hydrogen Improved data and modelling The objective of the project: • To propose TIMES modelling improvements • To cooperate with IEA Hydrogen TCP on data & modelling Why? • IEA Hydrogen are now establishing a new task “Data and modelling” (Task 41) and they want to cooperate with ETSAP • National TIMES teams model hydrogen differently (or do not model hydrogen at all) • Scenario analysis: Hydrogen is rarely part of the solution • TIMES modelers need access to reliable data (costs, efficiencies etc) 17 Status, task 41, sub-task c
- 18. Products from task 41 18 IEA Hydrogen products: • Database and all documentation (promised) • Technology briefs (most likely) • PPT reports to ExCo (promised) • Conference presentations (most likely) • Final reports (promised) • IP and Patent rights (?) • Journal papers? (yes – work in progress)
- 19. Thank you! Arne Lind Head of department/Operating agent task 41 Arne.lind@ife.no