Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4991-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4991-2022
© Author(s) 2022. This work is distributed under
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)
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
James Glynn
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Center on Global Energy Policy, School of International and Public Affairs, Columbia University, New York, NY, USA
Vahid Aryanpur
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Ankita Gaur
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Jason McGuire
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Andrew Smith
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Xiufeng Yue
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Institute of Tourism and Environment, School of Economics and Management, Dalian University of Technology, Dalian City, Liaoning, China
Hannah Daly
CORRESPONDING AUTHOR
Energy Policy and Modelling Group, MaREI, the SFI Research Centre for Energy, Climate and Marine, Environmental Research Institute, University College Cork, Cork, Ireland
School of Engineering and Architecture, University College Cork, Cork, Ireland
Related authors
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Doorgeshwaree Jaggeshar, Róisín Moriarty, Vahid Aryanpur, Bakytzhan Suleimenov, Zahra Hajighasemi, and Hannah Daly
EGUsphere, https://doi.org/10.5194/egusphere-2026-5289, https://doi.org/10.5194/egusphere-2026-5289, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
TIM-LEAF is an integrated national model that connects energy, agriculture, forestry and land use. It shows how choices in land and energy systems affect carbon storage, biomass and emissions across sectors, and how these changes influence temperature response. By considering these systems together, TIM-LEAF helps identify synergies and trade-offs between sectors to support more informed mitgation pathways at a national scale.
Cited articles
AECOM:
Cost Optimal Calculations and Gap Analysis for Buildings in Ireland under Directive 2010/31/EU on the Energy Performance of Buildings (Recast) Section 1-Residential Buildings, Tech. rep., AECOM, https://assets.gov.ie/100189/eb2d862f-6d19-4578-8dd0-47f1d7cc0d0f.pdf (last access: 18 May 2022), 2013. a
AECOM:
National Transport Model Update: Travel Demand Forecasting Report, Tech. rep., AECOM, Dublin, Ireland, https://www.tii.ie/tii-library/strategic-planning/national-transport-model/NTpM-Vol3-Travel-Demand-Forcasting-Report.pdf (last access: 18 May 2022), 2019. a, b, c, d
Ali, U., Shamsi, M. H., Bohacek, M., Hoare, C., Purcell, K., Mangina, E., and O'Donnell, J.:
A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings, Appl. Energ., 267, 114861, https://doi.org/10.1016/j.apenergy.2020.114861, 2020. a
Antti-L, IEA-ETSAP, and ggiannakidis: etsap-TIMES/TIMES_model: TIMES Version 4.5.8 (v4.5.8), Zenodo [code], https://doi.org/10.5281/zenodo.5537496, 2021. a
Aryanpur, V. and Shafiei, E.:
Transition to alternative fuel vehicles and implications for energy demand and GHG emissions in Iran, Energy and Environment, 26, 863–875, https://doi.org/10.1260/0958-305X.26.5.863, 2015. a
Aryanpur, V., O'Gallachoir, B., Dai, H., Chen, W., and Glynn, J.:
A review of spatial resolution and regionalisation in national-scale energy systems optimisation models, Energy Strateg. Rev., 37, 100702, https://doi.org/10.1016/j.esr.2021.100702, 2021. a
Aryanpur, V., Balyk, O., Daly, H., Ó Gallachóir, B., and Glynn, J.:
Decarbonisation of passenger light-duty vehicles using spatially resolved TIMES-Ireland Model, Appl. Energ., 316, 119078, https://doi.org/10.1016/j.apenergy.2022.119078, 2022. a
Balyk, O.:
Timeslice Tool for TIMES models (v0.1.0), Zenodo, https://doi.org/10.5281/zenodo.6564759, 2022. a
Balyk, O., Andersen, K. S., Dockweiler, S., Gargiulo, M., Karlsson, K., Næraa, R., Petrović, S., Tattini, J., Termansen, L. B., and Venturini, G.:
TIMES-DK: Technology-rich multi-sectoral optimisation model of the Danish energy system, Energy Strateg. Rev., 23, 13–22, https://doi.org/10.1016/j.esr.2018.11.003, 2019. a
Balyk, O., Glynn, J., Aryanpur, V., Gaur, A., McGuire, J., Smith, A., Yue, X., Chiodi, A., Gargiulo, M., and Daly, H.:
TIMES-Ireland Model (v1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.5708680, 2021. a, b
Bergin, A. and García-Rodríguez, A.:
Regional Demographics and Structural Housing Demand At a County Level, Tech. Rep. 111, The Economic and Social Research Institute, Dublin, Ireland, https://doi.org/10.26504/rs111, 2020. a
Carlsson, J., del Mar Perez Fortes, M., de Marco, G., Giuntoli, J., Jakubcionis, M., Jäger-Waldau, A., Lacal-Arantegui, R., Lazarou, S., Magagna, D., Moles, C., Sigfusson, B., Spisto, A., Vallei, M., and Weidner, E.:
Energy Technology Reference Indicator (ETRI) Projections for 2010–2050, Tech. rep., European Commission Joint Resarch Centre, Petten, the Netherlands, https://doi.org/10.2790/057687, 2014. a
CCAC:
Climate Change Advisory Council Annual Review 2020, Tech. rep., Climate Change Advisory Council, Dublin, Ireland, https://www.climatecouncil.ie/media/climatechangeadvisorycouncil/contentassets/publications/CCAC_AnnualReview2020FINAL.pdf(last access: 18 May 2022), 2020. a
Chiodi, A., Donnellan, T., Breen, J., Deane, P., Hanrahan, K., Gargiulo, M., and Ó Gallachóir, B. P.:
Integrating agriculture and energy to assess GHG emissions reduction: a methodological approach, Clim. Policy, 16, 215–236, https://doi.org/10.1080/14693062.2014.993579, 2016. a, b, c
Collins, M. and Curtis, J.:
Value for money in energy efficiency retrofits in Ireland: grant provider and grant recipients, Appl. Econ., 49, 5245–5267, https://doi.org/10.1080/00036846.2017.1302068, 2017. a
CSO:
Census of Population 2016 – Profile 2 Population Distribution and Movements, Central Statistics Office (CSO), https://www.cso.ie/en/releasesandpublications/ep/p-cp2tc/cp2pdm/ (last access: 18 May 2022), 2017. a
CSO:
Population and Labour Force Projections 2017–2051, Central Statistics Office (CSO), https://www.cso.ie/en/releasesandpublications/ep/p-plfp/populationandlabourforceprojections2017-2051/ (last access: 18 May 2022), 2018. a
CSO:
Private Households in Permanent Housing Units 2011 to 2016 (Table E1008), Central Statistics Office (CSO), https://data.cso.ie/table/E1008 (last access: 18 May 2022), 2020a. a
CSO:
Private Households in Permanent Housing Units 2011 to 2016 (Table E1055), Central Statistics Office (CSO), https://data.cso.ie/table/E1055 (last access: 18 May 2022), 2020b. a
CSO:
How We Travelled, in: National Travel Survey 2019, Central Statistics Office (CSO), https://www.cso.ie/en/releasesandpublications/ep/p-nts/nationaltravelsurvey2019/howwetravelled/ (last access: 18 May 2022), 2020c. a
CSO:
Projected Population 2016 Based, Central Statistics Office (CSO), https://data.cso.ie/table/pea22 (last access: 18 May 2022), 2020d. a
CSO:
Transport Omnibus 2018: Public Transport, Central Statistics Office (CSO), https://www.cso.ie/en/releasesandpublications/ep/p-tranom/transportomnibus2018/publictransport/ (last access: 18 May 2022), 2020e. a
CSO:
Passengers, Freight and Commercial Flights (Table TAA03), Central Statistics Office (CSO), https://data.cso.ie/table/taa03 (last access: 18 May 2022), 2020f. a
CSO:
Road Traffic Volumes of Private Cars (Table THA18), Central Statistics Office (CSO), https://data.cso.ie/table/THA18 (last access: 18 May 2022), 2020j. a
CSO:
Road Traffic Volumes (Table THA17), Central Statistics Office (CSO), https://data.cso.ie/table/THA17 (last access: 18 May 2022), 2020k. a
CSO:
Road Traffic Volumes of Small Public Serviced Vehicle (Table THA20), Central Statistics Office (CSO), https://data.cso.ie/table/THA20 (last access: 18 May 2022), 2020l. a
CSO:
Estimates of Household Income, Central Statistics Office (CSO), https://ws.cso.ie/public/api.restful/PxStat.Data.Cube_API.ReadDataset/CIA02/CSV/1.0/en (last access: 18 May 2022), 2021. a
Daly, H., Smith, A., Aryanpur, V., Gaur, A., McGuire, J., Yue, X., Glynn, J., and Balyk, O.:
Carbon Budget Scenarios for Ireland's Energy System, 2021-50 (v1.0), Zenodo, https://doi.org/10.5281/zenodo.5517363, 2021. a
Daly, H. E. and Ó Gallachóir, B. P.:
Modelling future private car energy demand in Ireland, Energ. Policy, 39, 7815–7824, https://doi.org/10.1016/j.enpol.2011.09.027, 2011. a
Daly, H. E., Scott, K., Strachan, N., and Barrett, J.:
Indirect CO2 Emission Implications of Energy System Pathways: Linking IO and TIMES Models for the UK, Environ. Sci. Technol., 49, 10701–10709, https://doi.org/10.1021/acs.est.5b01020, 2015. a
Danish Energy Agency and Energinet: Technology Data – Heating installations, Tech. Rep. 0003, DEA, https://ens.dk/sites/ens.dk/files/Analyser/technology_data_catalogue_for_individual_heating_installations.pdf (last access: 18 May 2022), 2020. a
Dantas, T. M., Cyrino Oliveira, F. L., and Varela Repolho, H. M.:
Air transportation demand forecast through Bagging Holt Winters methods, J. Air Transp. Manag., 59, 116–123, https://doi.org/10.1016/j.jairtraman.2016.12.006, 2017. a
Deane, P., Curtis, J., Chiodi, A., Gargiulo, M., Rogan, F., Dineen, D., Glynn, J., FitzGerald, J., Ó Gallachóir, B., DECLG, UCC, and ESRI: Technical support on developing low carbon sector roadmaps for Ireland: Low Carbon Energy Roadmap for Ireland, Tech. Rep. 021, Department of Environment, Community and Local Government, Dublin, Ireland, https://www.esri.ie/system/files?file=media/file-uploads/2015-07/BKMNEXT292.pdf (last access: 18 May 2022), 2013. a
DeCarolis, J., Daly, H., Dodds, P., Keppo, I., Li, F., McDowall, W., Pye, S., Strachan, N., Trutnevyte, E., Usher, W., Winning, M., Yeh, S., and Zeyringer, M.:
Formalizing best practice for energy system optimization modelling, Appl. Energ., 194, 184–198, https://doi.org/10.1016/j.apenergy.2017.03.001, 2017. a
Department of Finance:
Stability Programme Update 2020, Tech. rep., Department of Finance, Dublin, Ireland, 2020. a
Department of the Taoiseach:
Programme for Government: Our Shared Future, Tech. rep., Department of the Taoiseach, https://assets.gov.ie/130911/fe93e24e-dfe0-40ff-9934-def2b44b7b52.pdf (last access: 18 May 2022), 2020. a
Dineen, D., Rogan, F., and Ó Gallachóir, B. P.:
Improved modelling of thermal energy savings potential in the existing residential stock using a newly available data source, Energy, 90, 759–767, https://doi.org/10.1016/j.energy.2015.07.105, 2015. a, b
Duffy, P., Black, K., Hyde, B., Ryan, A. M., and Ponzi, J.:
Ireland's National Inventory Report 2019: Greenhouse Gas Emissions 1990-2017, Tech. rep., Environmental Protection Agency, Johnstown Castle, https://www.epa.ie/publications/monitoring–assessment/climate-change/air-emissions/Ireland-NIR-2019_Final.pdf (last access: 18 May 2022), 2019. a
Duffy, P., Black, K., Fahey, D., Hyde, B., Kehoe, A., Murphy, J., Quirke, B., Ryan, A. M., and Ponzi, J.:
Ireland's National Inventory Report 2020: Greenhouse Gas Emissions 1990-2018, Tech. rep., Environmetal Protection Agency, Johnstown Castle, https://www.epa.ie/publications/monitoring--assessment/climate-change/air-emissions/NIR-2020_Merge_finalv2.pdf (last access: 18 May 2022), 2020. a
EirGrid:
Tomorrow's Energy Scenarios 2017, Tech. rep., EirGrid, Dublin, Ireland, http://www.eirgridgroup.com/site-files/library/EirGrid/EirGrid-Tomorrows-Energy-Scenarios-Report-2017.pdf (last access: 18 May 2022), 2017. a, b
EirGrid and SONI:
All-Island Generation Capacity Statement 2019–2028, Tech. rep., EirGrid Group, https://www.eirgridgroup.com/site-files/library/EirGrid/EirGrid-Group-All-Island-Generation-Capacity-Statement-2019-2028.pdf (last access: 18 May 2022), 2019. a
EPA:
Ireland's Greenhouse Gas Emissions Projections 2019-2040, Tech. rep., Environmental Protection Agency, https://www.epa.ie/publications/monitoring–assessment/climate-change/air-emissions/2020-EPA-Greenhouse-Gas-Emissions-Projections_final.pdf (last access: 18 May 2022), 2020. a
Fais, B., Keppo, I., Zeyringer, M., Usher, W., and Daly, H.:
Impact of technology uncertainty on future low-carbon pathways in the UK, Energy Strateg. Rev., 13, 154–168, 2016. a
García-Gusano, D., Espegren, K., Lind, A., and Kirkengen, M.:
The role of the discount rates in energy systems optimisation models, Renewable and Sustainable Energy Reviews, 59, 56–72, https://doi.org/10.1016/j.rser.2015.12.359, 2016. a
Gaur, A., Balyk, O., Glynn, J., Aryanpur, V., McGuire, J., Smith, A., Yue, X., Chiodi, A., Gargiulo, M., and Daly, H.:
TIMES-Ireland Model (v1.0.0-s.1), Zenodo, https://doi.org/10.5281/zenodo.6531582, 2022a. a
Gaur, A., Balyk, O., Glynn, J., Curtis, J., and Daly, H.:
Low energy demand scenario for feasible deep decarbonisation: Whole energy systems modelling for Ireland, Renewable and Sustainable Energy Transition, 2, 100024, https://doi.org/10.1016/j.rset.2022.100024, 2022b. a
Geffert, W., Rush, J., Strunk, K., and Falk, J.:
Validation Report for I-SEM PLEXOS Model, 2018-2023, Tech. rep., NERA Economic Consulting, https://www.semcommittee.com/sites/semc/files/media-files/SEM-18-175%28a%29%20NERA%20Report%20on%20the%20validated%20SEM%20PLEXOS%20model%202018-2023.pdf (last access: 18 May 2022), 2018. a, b
Glynn, J., Gargiulo, M., Chiodi, A., Deane, P., Rogan, F., and Ó Gallachóir, B.:
Zero carbon energy system pathways for Ireland consistent with the Paris Agreement, Clim. Policy, 19, 30–42, https://doi.org/10.1080/14693062.2018.1464893, 2019. a
Grubb, H. and Mason, A.:
Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend, Int. J. Forecasting, 17, 71–82, https://doi.org/10.1016/S0169-2070(00)00053-4, 2001. a
Helgeson, B. and Peter, J.:
The role of electricity in decarbonizing European road transport – Development and assessment of an integrated multi-sectoral model, Appl. Energ., 262, 114365, https://doi.org/10.1016/j.apenergy.2019.114365, 2020. a
IEA-ETSAP:
etsap-TIMES/TIMES_model: Latest TIMES Version, Zenodo, https://doi.org/10.5281/zenodo.3865460, 2020. a
IPCC:
Global Warming of 1.5 ∘C. An IPCC Special Report on the impacts of global warming of 1.5 ∘C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change,, Intergovernmental Panel on Climate Change, https://www.ipcc.ch/site/assets/uploads/sites/2/2019/06/SR15_Full_Report_High_Res.pdf (last access: 18 May 2022), 2018. a
Irish Rail:
Annual Report, Tech. rep., Irish Rail, Dublin, Ireland, https://www.irishrail.ie/IrishRail/media/Imported/18_ie_annual_report_final.pdf (last access: 18 May 2022), 2018. a
Kumar, N., Peter, B., Lefton, S., Agan, D., and Hilleman, D.:
Power Plant Cycling Costs, Tech. Rep. November, National Renewable Energy Laboratory, Golden, Colorado, https://www.nrel.gov/docs/fy12osti/55433.pdf (last access: 18 May 2022), 2012. a
Lian, L., Tian, W., Xu, H., and Zheng, M.:
Modeling and forecasting passenger car ownership based on symbolic regression, Sustainability (Switzerland), 10, 2275, https://doi.org/10.3390/su10072275, 2018. a
Loulou, R., Goldstein, G., Kanudia, A., Lettila, A., and Remme, U.:
Documentation for the TIMES Model Part I: TIMES Concepts and Theory, IEA-ETSAP, https://www.iea-etsap.org/docs/Documentation_for_the_TIMES_Model-Part-I.pdf
(last access: 18 May 2022), 2016a. a
Loulou, R., Lehtila, A., Kanudia, A., Remme, U., and Goldstein, G.:
Documentation for the TIMES Model Part II: Reference Manual, IEA-ETSAP, https://www.iea-etsap.org/docs/Documentation_for_the_TIMES_Model-PartII.pdf
(last access: 18 May 2022), 2016b. a
Mulholland, E., Rogan, F., and Ó Gallachóir, B. P.:
Techno-economic data for a multi-model approach to decarbonisation of the Irish private car sector, Data in Brief, 15, 922–932, https://doi.org/10.1016/j.dib.2017.10.006, 2017. a
Mulholland, E., Tattini, J., Ramea, K., Yang, C., and Ó Gallachóir, B. P.:
The cost of electrifying private transport – Evidence from an empirical consumer choice model of Ireland and Denmark, Transport. Res. D-Tr. E., 62, 584–603, https://doi.org/10.1016/j.trd.2018.04.010, 2018. a, b
Nambiar, A. J., Collin, A. J., Karatzounis, S., Rea, J., Whitby, B., Jeffrey, H., and Kiprakis, A. E.:
Optimising power transmission options for marine energy converter farms, International Journal of Marine Energy, 15, 127–139, https://doi.org/10.1016/j.ijome.2016.04.008, 2016. a
NORA:
Volumes of Oil Consumption Subject to NORA Levy, National Oil Reserves Agency (NORA), https://www.nora.ie/statistics.312.html (last access: 18 May 2022), 2021. a
NTA:
National Household Travel Survey 2017, Tech. rep., National Transport Authority, Dublin, Ireland, 2018. a
O'Callaghan, D. and Prior, S.:
Staff Paper 2018 Central Technical Appraisal Parameters Discount Rate, Time Horizon, Shadow Price of Public Funds and Shadow Price of Labour, Tech. rep., Department of Public Expenditure and Reform, https://igees.gov.ie/wp-content/uploads/2019/07/Parameters-Paper-Final-Version.pdf (last access: 18 May 2022), 2018. a
OECD:
Economic Outlook No 103 – July 2018 – Long-term baseline projections, Organisation for Economic Co-Operation and Development (OECD), https://stats.oecd.org/Index.aspx?DataSetCode=EO103_LTB (last access: 18 May 2022), 2018. a
Ó Gallachóir, B., Deane, P., Glynn, J., and Rogan, F.:
The Role of Energy Technology in Climate Mitigation in Ireland: Irish TIMES Phase 3, Tech. rep., Environmental Protection Agency, Dublin, Ireland, https://www.epa.ie/publications/research/climate-change/Research_Report_326.pdf (last access: 18 May 2022), 2020. a
O'Rourke, F., Boyle, F., and Reynolds, A.:
Tidal current energy resource assessment in Ireland: Current status and future update, Renewable and Sustainable Energy Reviews, 14, 3206–3212, https://doi.org/10.1016/j.rser.2010.07.039, 2010. a
Petrović, S., Colangelo, A., Balyk, O., Delmastro, C., Gargiulo, M., Simonsen, M. B., and Karlsson, K.:
The role of data centres in the future Danish energy system, Energy, 194, 116928, https://doi.org/10.1016/j.energy.2020.116928, 2020. a
Petrović, S. N., Diachuk, O., Podolets, R., Semeniuk, A., Bühler, F., Grandal, R., Boucenna, M., and Balyk, O.:
Exploring the Long-Term Development of the Ukrainian Energy System, Energies, 14, 7731, https://doi.org/10.3390/en14227731, 2021. a
Pfenninger, S. and Staffell, I.:
Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data, Energy, 114, 1251–1265, https://doi.org/10.1016/j.energy.2016.08.060, 2016. a
Pfenninger, S., Hirth, L., Schlecht, I., Schmid, E., Wiese, F., Brown, T., Davis, C., Gidden, M., Heinrichs, H., Heuberger, C., Hilpert, S., Krien, U., Matke, C., Nebel, A., Morrison, R., Müller, B., Pleßmann, G., Reeg, M., Richstein, J. C., Shivakumar, A., Staffell, I., Tröndle, T., and Wingenbach, C.:
Opening the black box of energy modelling: Strategies and lessons learned, Energy Strateg. Rev., 19, 63–71, https://doi.org/10.1016/j.esr.2017.12.002, 2018. a
Pye, S., Broad, O., Bataille, C., Brockway, P., Daly, H. E., Freeman, R., Gambhir, A., Geden, O., Rogan, F., Sanghvi, S., Tomei, J., Vorushylo, I., and Watson, J.:
Modelling net-zero emissions energy systems requires a change in approach, Clim. Policy, 21, 222–231, https://doi.org/10.1080/14693062.2020.1824891, 2021. a
Realmonte, G., Drouet, L., Gambhir, A., Glynn, J., Hawkes, A., Köberle, A. C., and Tavoni, M.:
An inter-model assessment of the role of direct air capture in deep mitigation pathways, Nat. Commun., 10, 3277, https://doi.org/10.1038/s41467-019-10842-5, 2019. a
Rogan, F., Cahill, C. J., Daly, H. E., Dineen, D., Deane, J. P., Heaps, C., Welsch, M., Howells, M., Bazilian, M., and Ó Gallachóir, B. P.:
LEAPs and Bounds-an Energy Demand and Constraint Optimised Model of the Irish Energy System, Energ. Effic., 7, 441–466, https://doi.org/10.1007/s12053-013-9231-9, 2014. a, b
Rogelj, J., Shindell, D., Jiang, K., Fifita, S., Forster, P., Ginzburg, V., Handa, C., Kheshgi, H., Kobayashi, S., Kriegler, E., Mundaca, L., Séférian, R., and Vilariño, M.:
Mitigation pathways compatible with 1.5 ∘C in the context of sustainable development, in: Global Warming of 1.5 ∘C. An IPCC Special Report on the impacts of global warming of 1.5 ∘C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews, J., Chen, Y., Zhou, X., Gomis, M., Lonnoy, E., Maycock, T., Tignor, M., and Waterfield, T., IPCC, https://www.ipcc.ch/site/assets/uploads/sites/2/2019/02/SR15_Chapter2_Low_Res.pdf (last access: 18 May 2022), pp. 93–174, 2018. a
Ruiz, P., Nijs, W., Tarvydas, D., Sgobbi, A., Zucker, A., Pilli, R., Jonsson, R., Camia, A., Thiel, C., Hoyer-Klick, C., Dalla Longa, F., Kober, T., Badger, J., Volker, P., Elbersen, B. S., Brosowski, A., and Thrän, D.:
ENSPRESO – an open, EU-28 wide, transparent and coherent database of wind, solar and biomass energy potentials, Energy Strateg. Rev., 26, 100379, https://doi.org/10.1016/j.esr.2019.100379, 2019. a
SEAI:
SEAI BER Database, Tech. rep., Sustainable Energy Authority of Ireland, https://ndber.seai.ie/BERResearchTool/ber/search.aspx (last access: 18 May 2022), 2020. a
SEAI:
Energy in Ireland. 2021 Report, Tech. rep., Sustainable Energy Authority of Ireland, Dublin, https://www.seai.ie/publications/Energy-in-Ireland-2020.pdf (last access: 18 May 2022), 2021. a
Staffell, I. and Pfenninger, S.:
Using bias-corrected reanalysis to simulate current and future wind power output, Energy, 114, 1224–1239, https://doi.org/10.1016/j.energy.2016.08.068, 2016. a
Strachan, N., Fais, B., and Daly, H.:
Reinventing the energy modelling–policy interface, Nature Energy, 1, 16012, https://doi.org/10.1038/nenergy.2016.12, 2016. a
TII:
Project Appraisal Guidelines for National Roads Unit 6.11 – National Parameters Values Sheet, Tech. rep., Transport Infrastructure Ireland, Dublin, Ireland, https://www.tiipublications.ie/library/PE-PAG-02030-01.pdf (last access: 18 May 2022), 2016. a
Topten International Group:
Topten, https://www.topten.eu/private (last access: 18 May 2022), 2021. a
Uidhir, T. M., Rogan, F., Collins, M., Curtis, J., and Ó Gallachóir, B.:
Residential stock data and dataset on energy efficiency characteristics of residential building fabrics in Ireland, Data in Brief, 29, 109656, https://doi.org/10.1016/j.dib.2020.105247, 2020a. a
Uidhir, T. M., Rogan, F., Collins, M., Curtis, J., and Ó Gallachóir, B. P.:
Improving energy savings from a residential retrofit policy: A new model to inform better retrofit decisions, Energ. Buildings, 209, 109656, https://doi.org/10.1016/j.enbuild.2019.109656, 2020b.
a
Yakut, A. M. and de Bruin, K.:
Technical documentation of I3E model, Version 3, Tech. rep., Economic and Social Research Institute, Dublin, Ireland, https://doi.org/10.26504/sustat91, 2020. a, b, c, d
Short summary
Ireland has significantly increased its climate mitigation ambition, with a recent commitment to reduce greenhouse gases by an average of 7 % yr-1 in the period to 2030 and a net-zero target for 2050. This article describes the TIMES-Ireland model (TIM) developed to inform Ireland's energy system decarbonisation challenge. The paper also outlines a priority list of future model developments to better meet the challenge, taking into account equity, cost-effectiveness, and technical feasibility.
Ireland has significantly increased its climate mitigation ambition, with a recent commitment to...