Renewable Energy Generation and Impacts on E-Mobility

Lakshmi, G. Sree; Rubanenko, Olena; Hunko, Iryna

doi:10.1088/1742-6596/1457/1/012009

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…In turn such inadequacies were found to exist due to the unavailability and in access to charge for medium and long trips across regional spatial planning hierarchy. Moreover, this is closely associated with the problem of source of renewable energy to refill and facility to support inter-city and regional demand and supply for EV energy and transportation in its EVI [7,11,13,135].…”

Section: Methodology To Identify Spatial Planning Gapsmentioning

confidence: 99%

“…Conducive economy, optimisation of resources, scalable technology, and critical socioeconomic advantages reinforce such a transformation. It is evident now that about two-thirds of the earth's energy demand can be supplied by renewable energy [11][12][13]. It can lead to the bulk reduction of the greenhouse gas emissions as required between now and 2050 to limit the average earth's surface temperature increase below 2 • C [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Need of Integrated Regional Planning Approach for the Decentralisation and Optimisation of Renewable Energy Based Electric Vehicle Infrastructure: A Comprehensive Visualisation

Rani,

Saini

2023

Sustainability

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The existing research narrates avenues in the regional and thematic area preconditions set via the framework and institutional mechanism towards energy decentralisation (ED). Moreover, with the entrant stakeholders and inclusive energy policy, the researchers find potential in local resources and capacity towards the decarbonisation of the economy. Consequently, governments around the globe emphasise multi-level sectoral economic support packages to buffer the immediate to medium-term gap and subsequently investigate their implementation in infrastructure and technology. The present review attempts to focus on the conditions of energy transformation in enabling a policy and regulatory framework. As such an integrated regional spatial framework focuses to identify support packages across urban and rural planning, transportation, renewable energy, infrastructure, environment and climate change and sustainability. Moreover, the present review revolves its thematic focus around the transport sector to strategize the energy decentralisation of the local potential in the ongoing electric vehicle (EV) transportation. The presented review toils on EV users’ struggle to orient to the need of the hour in the inadequacies of refill/charging infrastructure. Thus, it is imperative to review parameters such as availability and access to charge, depending on the source of energy in the charging infrastructure, facilities and services at the regional level. The presented review investigates under categoric and key search across conceptual regional settlement hierarchy to strategize the development of the Renewable Energy based Electric Vehicle Infrastructure (REEVI) package under system, support and services (SSS). Conclusively, the review study brings out a tentative regional settlement hierarchical integrated methodology for REEVI-SSS in the missing linkages and gaps of spatial planning to ease medium and long trip EV transportation challenges faced at the inter-city–rural, i.e., regional level.

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Section: Methodology To Identify Spatial Planning Gapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Need of Integrated Regional Planning Approach for the Decentralisation and Optimisation of Renewable Energy Based Electric Vehicle Infrastructure: A Comprehensive Visualisation

Rani,

Saini

2023

Sustainability

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“…However, production instability of variable renewables such as wind power and solar photovoltaics and intermittent charging patterns of EVs can lead to several problems in the power grid such as growing demand peaks, voltage fluctuations, high load variability, and over-generation [6,7]. These challenges require effective energy management to adapt between electric vehicles charging patterns and renewable energy generation [8,9]. As a result, recent studies have focused on developing effective energy management to integrate renewable energy and EVs into homes and grid.…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Energy Management Strategy of EV and PV Integrated Smart Home to Minimize Electricity Cost and Flatten Power Load Profile

2020

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The efficient use of the incorporation of photovoltaic generation (PV) and an electric vehicle (EV) with the home energy management system (HEMS) can play a significant role in improving grid stability in the residential area and bringing economic benefit to the homeowner. Therefore, this paper presents an energy management strategy in a smart home that integrates an electric vehicle with/without PV generation. The proposed strategy seeks to reduce the household electricity costs and flatten the load curve based on time-of-use pricing, time-varying household power demand, PV generation profile, and EV parameters (arrival and departure times, minimum and maximum limit of the state-of-charge, and initial state-of-charge). The proposed control strategy is divided into two stages: Stage A, which operates in three operating modes according to the unavailability of PV power generation, and Stage B, which operates in five operating modes according to the availability of PV generation. In this study, the proposed strategy enables controlling the amount of energy absorbed by the EV from the grid and/or PV and the amount of energy injected from the EV to the load to ensure that the household electricity costs are minimized, and the household power load profile is flattened. The findings show that both household electricity costs reduction and flattening of the power load profile are achieved. Moreover, the corresponding simulation results exhibit that the proposed strategy for the smart home with EV and PV provides better results than the smart home with EV and without PV in terms of electricity costs reduction and power load profile flattening.

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