Urban power load profiles under ageing transition integrated with future EVs charging

Zhang, Haoran; Chen, Jinyu; Yan, Jie; Song, Xuan; Shibasaki, Ryosuke; Yan, Jinyue

doi:10.1016/j.adapen.2020.100007

Cited by 34 publications

(4 citation statements)

References 25 publications

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“…The results of case study can be used to understand the feasibility of fleet-wide planning of PV-integrated buses to support effective decisions at city-wide scale. In future, real electricity consumption of buses under complex transport conditions [65][66][67] and travel behaviors change [68] will be collected in order to give a more detailed analysis of the economic benefits of solar power generation.…”

Section: Discussionmentioning

confidence: 99%

Towards renewable public transport: Mining the performance of electric buses using solar-radiation as an auxiliary power source

Chen

Sui²,

Shang³

et al. 2022

Applied Energy

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Section: Discussionmentioning

confidence: 99%

Towards renewable public transport: Mining the performance of electric buses using solar-radiation as an auxiliary power source

Chen

Sui²,

Shang³

et al. 2022

Applied Energy

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“…The typical long-term factors affecting electricity consumption are demographic factors, business cycles, substitution between energy sources, the adoption of more efficient technologies, and the mechanization of production processes. For example, changes in population, and changes in consumption habits have a clear impact in a long-term electricity demand as pointed for example in Zhang et al (2021) where the impact of population aging on future energy consumption is analyzed or in Babrowski et al (2014) where the potential of electric vehicles to shift the load curve is analyzed. In the short term, the variables affecting electricity demand are weekday effects, variations in temperature, or time-ofday demand (i.e., opening hours), as described in Taylor (2010) and Mestekemper et al (2013).…”

Section: Lighting Effect In Electricity Consumptionmentioning

confidence: 99%

“…In particular, we are interested in efficiency gains in electricity consumption for lighting. Instead of following a bottom-up approach based on the observed past behavior of agents, such as the method proposed by Zhang et al 2021 to evaluate the impact of population ageing on future energy consumption or by Babrowski et al 2014 to model the potential of electric vehicles to shift the load curve, we propose to directly measure the observed change in the shape of the hourly electricity demand. Due to our interest in energy efficiency gains in lighting, the analysis focuses on the evaluation of changes in electricity consumption during a very short period: the hours corresponding to the transition between day and night.…”

Section: Introduction: Measuring Energy Efficiency Improvements At Macrolevelmentioning

confidence: 99%

Measuring aggregate electricity savings from the diffusion of more efficient lighting technologies

Carcedo

Pérez-García

2021

Energy Efficiency

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Increasing concerns about sustainability and energy conservation, coupled with the proliferation of incentives in the EU to achieve energy savings, suggest that significant improvements in energy efficiency should be realized. A policy measure that should have a direct impact on energy savings is the replacement of incandescent and halogen light bulbs by more efficient lighting technologies, which was implemented in 2009. Due to the lack of detailed data, it is not feasible to measure the effect of energy-efficient improvements on electricity consumption at the aggregate level using a bottom-up approach. To overcome this limitation, this paper analyzes hourly electricity demand in a very specific period of the day: the transition from day to night. In this short period, it is plausible that lighting is the main driver of changes in electricity demand, thus making it possible to estimate the increase in electricity consumption when lights are switched on and to analyze the effects of higher energy efficiency in lighting, if any. The results of the analysis for Spain show that during the periods 2009–2011 and 2015–2016, an estimated energy savings of 251 GWh can be attributed to a reduction in the magnitude of the lighting effect, which accounts for 20.3% of the observed decrease in electricity consumption during these two periods.

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“…Generally, the model-based voltage control methods with accurate network parameters are adopted to regulate voltage profiles in ADNs [7]. Ref.…”

mentioning

confidence: 99%

Data-Driven Coordinated Voltage Control Method of Distribution Networks With High DG Penetration

Huo

et al. 2023

IEEE Trans. Power Syst.

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Urban power load profiles under ageing transition integrated with future EVs charging

Cited by 34 publications

References 25 publications

Towards renewable public transport: Mining the performance of electric buses using solar-radiation as an auxiliary power source

Towards renewable public transport: Mining the performance of electric buses using solar-radiation as an auxiliary power source

Measuring aggregate electricity savings from the diffusion of more efficient lighting technologies

Data-Driven Coordinated Voltage Control Method of Distribution Networks With High DG Penetration

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