the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
TIM: modelling pathways to meet Ireland's long-term energy system challenges with the TIMES-Ireland Model (v1.0)
James Glynn
Vahid Aryanpur
Ankita Gaur
Jason McGuire
Andrew Smith
Xiufeng Yue
Hannah Daly
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- Final revised paper (published on 29 Jun 2022)
- Preprint (discussion started on 22 Nov 2021)
Interactive discussion
Status: closed
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RC1: 'Comment on gmd-2021-359', James Price, 13 Jan 2022
This paper describes a new, state-of-the-art energy systems optimisation model for Ireland which has been developed following best practice guidelines. The objective of the model is to support evidenced based policy making as Ireland seeks to reach net-zero by 2050.
In general I think the paper, and the model it describes, are of a high quality and will certainly warrant publication once a few minor points below are clarified and amended. My comments are as follows:
Interesting choice not to include technology specific discount rates – is there any further discussion/rationale you could give on this issue? That is, I understand there is a tension here given that the model takes a social planner perspective but I am wondering about this choice since technology specific discount rates are typically used to, in part, acknowledge that the real world generally relies on private finance (at least as of now).
I’m a little unclear if land-use emissions are modelled in TIM based on “Another limitation of TIM is the sole focus on energy and process emissions”. My impression is they are but in a static, exogenous manner? Even though there is mention of the agricultural sector being taken from Irish TIMES, it would be useful to clarify, with a few sentences, what is exogenous and endogenous here.
Line 20 – I think this should be updated to “did” fail its 2020 decarbonisation objective, as it is now 2022.
Line 36 – make improving efficiencies challenging (previously “make improve..”)
Line 37 – is that average annual renewable electricity generation (36.5%?) And again, is 86% average from wind. It will vary between years.
Line 76 – the model respects whatever tech, environ, economic, social and policy constraints are included – some may be missed (and likely are).
Line 78 – how are feasible uptake rates derived?
Line 92 – what is an “internal transfer”?
Figure 1 – I’m going to assume it can but from the diagram it isn’t totally clear that electricity can be used to produce H2, for instance. And is there any CCU?
Line 143 – what is a “spacial spatio-temporal approach”?
Line 260 – can interconnectors be reinforced/new ones built?
Line 272 – I think the sentence should be something like “…in the future, disaggregated as (or into) centralised and decentralised electrolysis options”
Line 316 – 100% VRE share over the year? And is this the case even with an hourly resolution?
Line 485 – regrading -> regarding
Line 544 – agricultural sector energy service demands don’t change from 2018, how reasonable is this assumption? -
RC2: 'Comment on gmd-2021-359', Oliver Broad, 14 Jan 2022
General comments: Initial paragraph or section evaluating the overall quality of the preprint
- This paper provides a very welcome and well written example of what openness and transparency in modelling should look like. It clarifies how the model was developed, refers to an online and freely available repository of the model itself, goes in relative detail through the different sectors and parts of the model to highlight their structure and how they were built.
- The model itself constitutes an integral "rebuild" of the existing TIMES model for the Republic of Ireland. It takes a new, flexible approach to the representation of both time-slices and regionality, and assesses the impact of deep penetration of VRE. It is a clear step forward and should offer robust and very much needed support in representing the government's new and ambitious targets.
- In this context, the comments below should be considered minor and are aimed at further improving the high quality of the paper.
Specific comments: addressing individual scientific questions/issues
- The space and importance given to the agricultural and land use sectors seems slightly on the light side. The authors note the importance of the sector for emissions in the country, as well as its complexity but do not describe it. While another paper is highlighted for the reader to refer to, additional detail and clarity on how the sector is treated & linked to other sectors in the model would be useful here too. Note, in addition, that some statements are confusing. The Abstract suggest that the authors / model will cover "transport, buildings, industry and agriculture" while those on the contents of the paper p3 line 69 describe the sections of the paper as covering "supply, power, transport, residential, and industry"; and some sectoral paragraphs (e.g. supply) make statements about agricultural sector commodities.
- The authors suggest in that their approach considers the inclusion of equity in the model but do not explain this at any stage - while presumably linked to the residential sector "banding", this statement could be upheld in the sectoral discussions or otherwise clarified.
- On key feature of the model is its ability to consider flexibility between different levels of temporal and geographical detail. Considering the importance of this statement, the reader could expect to find additional information or a dedicated description of how this has been considered and how the authors ensure that energy balances, and transmission and distribution technologies are always aligned between versions.
- Consistency of demand drivers - an additional word explaining whether economic growth assumptions described in 2.5.2 are internally consistent would be useful. This also applies in other parts of the paper that discuss driver assumptions e.g. in relation to the housing demand estimates driven from Garcia Rodriguez (2020).
- Supply sector - the authors state that attention to "best practice coding conventions" in section 3.1.2 but do not clarify the approach that is used, what it implies or what reference (if one exists) their approach is based on. A short additional paragraph would be useful here.
- Bioenergy - future uses of bioenergy are gaining importance across increasing numbers of national and global modelling exercises. One key question that can raise significant difficulties is one of biomass sustainability. The current version of the paper / model seems to assume that biomass is carbon neutral. It would be useful to clarify this assumption, suggest why it is appropriate, clarify what definition of "biomass sustainability" is used (in broad terms at least) and consider if future versions of the model might usefully include the explicit representation of emissions linked to the use of different biomass commodities.
- Power sector - the authors suggest that the model is designed to take account of high levels of penetration of VRE, however the Power Sector description does not clarify what - if any - storage options are included in the model and how these are linked to VRE options to ensure system reliability. Could a paragraph to this effect be added?
- Transport - while detailed, the current description of the relationship between demand calculation, technology shares, changes of technology data over time vs. data considered constant over time (describing technology characteristics) is confusing and could be clarified. In particular, how the total demand is calculated and split across modes and what modal shifting is and is not possible, and under what conditions (i.e. in the core model or under particular scenarios), could be improved.
- Residential - the BER rating system is stated to assume that living and non-living areas of buildings are heated to 21 or 18C respectively. Table 9 highlights how BER ratings C and below have significantly different internal temperature assumptions. It is not clear however how this links to modelling assumptions around lower technology or envelope efficiency. Is not clear if the lower grade buildings are expected to use the same amount of energy just delivering a poorer service than the higher grade ones? Or whether they instead also require higher levels of energy consumption to provide the lower temperatures?
- Section 4.2 states "Integration with key national data sources […] is a key strength of TIM". This suggests that the model can now be easily updated when new versions of key government publications are put forward. Is that the case? And if so, could this be stated more clearly?
Technical corrections: a compact listing of purely technical corrections at the very end
- Please refer to the attached pdf with suggestions available in comments.
- AC1: 'Comment on gmd-2021-359', Olexandr Balyk, 14 Feb 2022
Peer review completion

