scholarly journals TIM: Modelling pathways to meet Ireland’s long-term energy system challenges with the TIMES-Ireland Model (v1.0)

2021 ◽  
Author(s):  
Olexandr Balyk ◽  
James Glynn ◽  
Vahid Aryanpur ◽  
Ankita Gaur ◽  
Jason McGuire ◽  
...  

Abstract. Ireland has significantly increased its climate mitigation ambition, with a recent government commitment to reduce greenhouse-gases by an average of 7 % per year in the period to 2030 and a “net-zero” target for 2050, underpinned by a series of five-year carbon budgets. Energy systems optimisation modelling (ESOM) is a widely-used tool to inform pathways to address long-term energy challenges. This article describes a new ESOM developed to inform Ireland's energy system decarbonisation challenge. The TIMES-Ireland Model (TIM) is an optimisation model of the Irish energy system, which calculates the cost-optimal fuel and technology mix to meet future energy service demands in the transport, buildings, industry and agriculture sectors, while respecting constraints in greenhouse-gas emissions, primary energy resources and feasible deployment rates. TIM is developed to take into account Ireland's unique energy system context, including a very high potential for offshore wind energy and the challenge of integrating this on a relatively isolated grid, a very ambitious decarbonisation target in the period to 2030, the policy need to inform five-year carbon budgets to meet policy targets, and the challenge of decarbonising heat in the context of low building stock thermal efficiency and high reliance on fossil fuels. To that end, model features of note include “future proofing” with flexible temporal and spatial definitions, with a possible hourly time resolution, unit commitment and capacity expansion features in power sector, residential and passenger transport underpinned by detailed bottom-up sectoral models, cross-model harmonisation and soft-linking with demand and macro models. The paper also outlines a priority list of future model developments to better meet the challenge of deeply decarbonising energy supply and demand, taking into account equity, cost-effectiveness and technical feasibility. To support transparency and openness in decision-making, TIM is available to download under a Creative Commons licence.

Author(s):  
Silvia Regina Santos da Silva ◽  
Gokul C Iyer ◽  
Thomas Bernard Wild ◽  
Mohamad I. Hejazi ◽  
Chris R. Vernon ◽  
...  

Abstract Studies exploring long-term energy system transitions rely on resource cost-supply curves derived from estimates of renewable energy (RE) potentials to generate wind and solar power projections. However, estimates of RE potentials are characterized by large uncertainties stemming from methodological assumptions that vary across studies, including factors such as the suitability of land and the performance and configuration of technology. Based on a synthesis of modeling approaches and parameter values used in prior studies, we explore the implications of these uncertain assumptions for onshore wind and solar PV electricity generation projections globally using the Global Change Analysis Model (GCAM). We show that variability in parametric assumptions related to land use (e.g., land suitability) are responsible for the most substantial uncertainty in both wind and solar generation projections. Additionally, assumptions about the average turbine installation density and turbine technology are responsible for substantial uncertainty in wind generation projections. Under scenarios that account for climate impacts on wind and solar energy, we find that these parametric uncertainties are far more significant than those emerging from differences in climate models and scenarios in a global assessment, but uncertainty surrounding climate impacts (across models and scenarios) have significant effects regionally, especially for wind. Our analysis suggests the need for studies focusing on long-term energy system transitions to account for this uncertainty.


OPEC Review ◽  
1977 ◽  
Vol 1 (6) ◽  
pp. 7-21
Author(s):  
Amir H. Maghen ◽  
Ivan Bejarano G.

2014 ◽  
Vol 39 (3) ◽  
pp. 377-396 ◽  
Author(s):  
Manuel Welsch ◽  
Mark Howells ◽  
Mohammad Reza Hesamzadeh ◽  
Brian Ó Gallachóir ◽  
Paul Deane ◽  
...  

1995 ◽  
Vol 29 ◽  
pp. 71-78 ◽  
Author(s):  
K.N Chae ◽  
D.G Lee ◽  
C.Y Lim ◽  
B.W Lee

2019 ◽  
Vol 84 (757) ◽  
pp. 323-333
Author(s):  
Ayako MATSUOKA ◽  
Minami SUGIYAMA ◽  
Takashi MOMONOKI ◽  
Yohei YAMAGUCHI ◽  
Yoshiyuki SHIMODA

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