The load shift potential of plug-in electric vehicles with different amounts of charging infrastructure

Gnann, Till; Klingler, Anna-Lena; Kühnbach, Matthias

doi:10.1016/j.jpowsour.2018.04.029

Cited by 69 publications

(24 citation statements)

References 26 publications

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“…[18][19][20][21][22]) that investigate DR issues (across different countries) are largely based upon qualitative approach analysis [23]. In recent years, however, there has been a growing number of publications focusing on the assessment of the different categories of DR potentials, but these analyses are particularly limited to European countries (see for example [24][25][26][27][28]). A systematic review of the different categories of DR potentials (i.e.…”

Section: Commented [Gd2r1]mentioning

confidence: 99%

Load flexibility potential across residential, commercial and industrial sectors in Brazil

Dranka

Ferreira

2020

Energy

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The flexibility in grid operations has become a valuable solution to address the several problems brought about the growth of intermittent renewable generation and the use of Demand Response (DR) measures has emerged as a potential contributor to address this challenge. To the best of authors knowledge, the assessment of the theoretical DR potential for the Brazilian power sector has not yet fully addressed in the available literature. This paper is a first attempt to establish the theoretical load flexibility potential for the Brazilian power sector across the residential, commercial and industrial sectors. We provide the assessment of the future DR potential (up to 2050) based on a set of technical assumptions. The strengths of this study include two central issues addressed: (1) a sectoral analysis and (2) a regional analysis by broadly splitting up the Brazilian power system into four main subsystems. Our findings reveal that the overall maximum hourly theoretical DR potential in Brazil is expected to double, increasing from 12.8 GW in 2017 to almost 25.6 GW by 2050. Findings of this study point out that the majority of the demand-side response potential may lie in the industrial sector. Lower but a still substantial potential for the residential and commercial sectors were also identified. The high expected increase in the overall electricity DR potential for the residential sector is driven mainly by the increase in both the number of households and the number of appliances per house.

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Section: Commented [Gd2r1]mentioning

confidence: 99%

Load flexibility potential across residential, commercial and industrial sectors in Brazil

Dranka

Ferreira

2020

Energy

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“…To order to demonstrate the effectiveness of the presented power scheduling operation, the proposed work was implemented in python programming language on a personal computer , [29] and [26], respectively. The power service territory of the IoE is separated into three geographical regions that mimicked three types of population distribution in the real world.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

An Emission-Aware Day-Ahead Power Scheduling System for Internet of Energy

2019

KSII TIIS

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As a subset of the Internet of Things, the Internet of Energy (IoE) is expected to tackle the problems faced by the current smart grid framework. Notably, the conventional day-ahead power scheduling of the smart grid should be redesigned in the IoE architecture to take into consideration the intermittence of scattered renewable generations, large amounts of power consumption data, and the uncertainty of the arrival time of electric vehicles (EVs).Accordingly, a day-ahead power scheduling system for the future IoE is proposed in this research to maximize the usage of distributed renewables and reduce carbon emission caused by the traditional power generation. Meanwhile, flexible charging mechanism of EVs is employed to provide preferred charging options for moving EVs and flatten the load profile simultaneously. The simulation results revealed that the proposed power scheduling mechanism not only achieves emission reduction and balances power load and supply effectively, but also fits each individual EV user's preference.

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“…In this respect, modelling frameworks can help explore the benefits of different technological configurations towards energy autonomy [82] , as well as the ways in which envisaged innovations can be adopted by and diffused into households of different profiles [83] . From a modelling perspective, research can also delve into policy instruments and market models that target low-carbon investment or purchasing decisions [84] based on consumer preferences, explore policies that go beyond market models [85] , as well as simulate real-life behaviour and modal shifts [86] , [87] . In doing so, demand-side insights can complement supply-side research, by better informing tipping points or barriers for electrification strategies, evolution of infrastructure and introduction of low-carbon or carbon–neutral fuels.…”

Section: Disaggregated Understanding Of the Diffusion Of Social Innovmentioning

confidence: 99%

The desirability of transitions in demand: Incorporating behavioural and societal transformations into energy modelling

Νίκας

Lieu

Şorman

et al. 2020

Energy Research & Social Science

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Quantitative systems modelling in support of climate policy has tended to focus more on the supply side in assessing interactions among technology, economy, environment, policy and society. By contrast, the demand side is usually underrepresented, often emphasising technological options for energy efficiency improvements. In this perspective, we argue that scientific support to climate action is not only about exploring capacity of “what”, in terms of policy and outcome, but also about assessing feasibility and desirability, in terms of “when”, “where” and especially for “whom”. Without the necessary behavioural and societal transformations, the world faces an inadequate response to the climate crisis challenge. This could result from poor uptake of low-carbon technologies, continued high-carbon intensive lifestyles, or economy-wide rebound effects. For this reason, we propose a framing for a holistic and transdisciplinary perspective on the role of human choices and behaviours in influencing the low-carbon transition, starting from the desires of individuals and communities, and analysing how these interact with the energy and economic landscape, leading to systemic change at the macro-level. In making a case for a political ecology agenda, we expand our scope, from comprehending the role of societal acceptance and uptake of end-use technologies, to co-developing knowledge with citizens from non-mainstream and marginalised communities, and to defining the modelling requirements to assess the decarbonisation potential of shifting lifestyle patterns in climate change and action.

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The load shift potential of plug-in electric vehicles with different amounts of charging infrastructure

Cited by 69 publications

References 26 publications

Load flexibility potential across residential, commercial and industrial sectors in Brazil

Load flexibility potential across residential, commercial and industrial sectors in Brazil

An Emission-Aware Day-Ahead Power Scheduling System for Internet of Energy

The desirability of transitions in demand: Incorporating behavioural and societal transformations into energy modelling

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