Andrew Smith

Mr. Andrew Smith

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 June 2022 in Geoscientific Model Development
Verified
Journal Article
Open access
PDF file
OBOlexandr Balyk
Olexandr Balyk
JGJames Glynn
James Glynn
VAVahid Aryanpur
Vahid Aryanpur
AGAnkita Gaur
Ankita Gaur
JMJason McGuire
Jason McGuire
Hannah DalyHannah Daly
Hannah Daly
Ireland has significantly increased its climate mitigation ambition, with a recent government commitment to reduce greenhouse gases by an average of 7 % yr−1 in the period to 2030 and a net-zero target for 2050, underpinned by a series of 5-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 5-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 the 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 the equity, cost-effectiveness, and technical feasibility. To support transparency and openness in decision-making, TIM is available to download under a Creative Commons licence.

11 April 2020 in Energies
Verified
Journal Article
Open access
PDF file
DSDaniel Scamman
Daniel Scamman
BSBaltazar Solano-Rodríguez
Baltazar Solano-Rodríguez
SPSteve Pye
Steve Pye
LCLai Fong Chiu
Lai Fong Chiu
ASAndrew Smith
Andrew Smith
RLRobert Lowe
Robert Lowe
Energy models have been widely applied to the analysis of energy system decarbonisation to assess the options and costs of a transition to a low carbon supply. However, questions persist as to whether they are able to effectively represent and assess heat decarbonisation pathways for the buildings sector. A range of limitations have been identified, including a poor spatio-temporal resolution, limited representation of behaviour, and restricted representation of the full technical option set. This paper undertakes a review of existing energy models for heat decarbonisation in the UK, applying the novel perspective of energy system architecture (ESA). A set of ESA-related features are identified (including evolvability, flexibility, robustness, and feasibility), and models are reviewed against these features. The review finds that a range of models exist that have strengths across different features of ESA, suggesting that multiple modelling approaches are needed in order to adequately address the heat decarbonisation challenge. However, opportunities to improve existing models and develop new approaches also exist, and a research agenda is therefore proposed.

22 November 2021 in EGUsphere
Verified
Preprint
Open access
PDF file
OBOlexandr Balyk
Olexandr Balyk
JGJames Glynn
James Glynn
VAVahid Aryanpur
Vahid Aryanpur
AGAnkita Gaur
Ankita Gaur
JMJason McGuire
Jason McGuire
Hannah DalyHannah Daly
Hannah Daly
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.