Modelling the impact of EVs on electricity generation, costs and CO2 emissions

Calnan, Patrick; Deane, Paul; Gallachóir, Brian P. Ó

doi:10.1016/j.enpol.2013.05.065

Cited by 25 publications

(5 citation statements)

References 10 publications

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“…The simplest approach for modeling EV loads is based on annual travel statistics, such as vehicle miles traveled (VMT) and typical usage times, which have often been used to determine average daily charging loads. 151–153 Such annual methodologies based on vehicle miles traveled might be appropriate for aggregate impact studies ( e.g. , greenhouse gas emissions benefits), but they lack the temporal granularity required for most power sector analyses.…”

Section: Value Of Managed Charging In Analysis/modeling Studiesmentioning

confidence: 99%

“…Szinai et al 166 also use PLEXOS for the 2030 California system; however, in contrast to Zhang et al , which considers a simplified representation of EV load (using the same daily aggregate EV demand profile for the whole year and assuming that charging can be temporally shifted without any constraints), Szinai et al use a transportation agent-based model that explicitly considers constraints on mobility and charging infrastructure. PLEXOS has also been used to study the value of MC for the 2025 Irish power system, 152 2030 Barbados power system, 184 and a hypothetical system with large-scale variable renewable energy (VRE) generation. 168 While PLEXOS allows customization of the UC objective function and constraints, the UC model in these PLEXOS-based studies typically minimizes total system operation costs subject to typical PCM and aggregate EV constraints, as discussed.…”

Section: Value Of Managed Charging In Analysis/modeling Studiesmentioning

confidence: 99%

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Assessing the value of electric vehicle managed charging: a review of methodologies and results

Anwar

Muratori

Jadun

et al. 2022

Energy Environ. Sci.

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Section: Value Of Managed Charging In Analysis/modeling Studiesmentioning

confidence: 99%

Section: Value Of Managed Charging In Analysis/modeling Studiesmentioning

confidence: 99%

Assessing the value of electric vehicle managed charging: a review of methodologies and results

Anwar

Muratori

Jadun

et al. 2022

Energy Environ. Sci.

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“…Ekhtiari et al [12] considered hydrogen storage potential within the Irish gas network, while Andrade-Cabrera et al [13] explored the integration of building retrofit optimisation and power system optimisation. Calnan et al [14] examined the impact of EVs on electricity generation costs and emissions.…”

Section: Introductionmentioning

confidence: 99%

Multi‐sectoral flexibility measures to facilitate wind and solar power integration

Kiviluoma

O’Dwyer

Ikäheimo

et al. 2022

IET Renewable Power Gen

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As power systems evolve towards integrating higher shares of renewables, the demand for additional levels of flexibility is increased. Meanwhile, o‐ther energy consuming sectors, such as transport and heating, could provide flexibility when they move from fossil fuels to electricity. In this paper, the impact of a range of flexibility measures is assessed for the island system of Ireland, with a high share of renewable energy, particularly wind and solar. Flexibility measures studied include hybrid heating in domestic and industrial processes, smart charging of electric vehicles, renewable hydrogen, power to ammonia, peak shaving demand response and batteries. The novelty of this paper lies in directly quantifying the interactions and dependencies between different flexibility measures, with the objective of increasing the operational flexibility of an increasingly renewable energy‐dominated power system. Four different scenarios are modeled to explore this interplay between the different flexibility measures. The costs and benefits of several sector‐coupling measures. The scenarios have also been compared in terms of their influence on system inertia, renewable energy curtailment and non‐synchronous penetration levels. The results indicate the potential importance of electricity‐based heating in the industrial sector, smart charging of electric vehicles, batteries and power‐to‐ammonia, as part of achieving future targets

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“…The electricity might be generated using power plants that emit large amounts of exhaust gases (e.g. Calnan et al, 2013). Although EVs are quieter than conventional vehicles, they still need a large part of public space which is scarce, particularly in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Changing towards electric vehicle use in Greater Stockholm

Langbroek

Franklin

Susilo

2017

European Journal of Transport and Infrastructure Research

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This paper studies electric vehicle (EV) adoption in Greater Stockholm in Sweden using the Transtheoretical Model of Change (TTM) and the Protection Motivation Theory as a framework and considers socio-cognitive, behavioural and socio-economic attributes that may influence the process towards electric vehicle use. TTM considers behavioural change as a process consisting of five stages-of-change rather than as an event. Some key findings were made: (1) from the earlier to the later stages-of-change, the attitude towards EVs becomes more positive, the knowledge about EVs increases and the self-efficacy is consistently increasing. (2) The threat appraisal and response efficacy of EVs increase from stage to stage in the stages prior to the actual change but have a lower level for the stages after the change. (3) The explanatory power of regression models modelling both pre-contemplation and all stages-of-change increases significantly when incorporating socio-cognitive variables such as self-efficacy, threat-appraisal, response efficacy and attitudes towards EVs. (4) The modal share of the car is consistently increasing throughout the stages-of-change. The results indicate that policy measures aiming at increasing knowledge and self-efficacy of car drivers related to EV use can stimulate electric vehicle adoption. Also, the relative advantages of EVs for car drivers should get more attention rather than only emphasizing the environmental advantages.

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Modelling the impact of EVs on electricity generation, costs and CO2 emissions

Cited by 25 publications

References 10 publications

Assessing the value of electric vehicle managed charging: a review of methodologies and results

Assessing the value of electric vehicle managed charging: a review of methodologies and results

Multi‐sectoral flexibility measures to facilitate wind and solar power integration

Changing towards electric vehicle use in Greater Stockholm

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