Dynamic analysis of the integration of electric vehicles in efficient buildings fed by renewables

Buonomano, Annamaria; Calise, Francesco; Cappiello, Francesco Liberato; Palombo, Adolfo; Vicidomini, Maria

doi:10.1016/j.apenergy.2019.03.206

Cited by 61 publications

(23 citation statements)

References 54 publications

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“…The results indicate that this synergy introduces benefits such as decreasing the curtailment of PV 20 , the dependency on the grid 7 , and the peak load 12 . Furthermore, it increases SC -defined as the ratio between the self-consumed electricity to the total produced electricity 21 -of PV 12,17 , the renewable energy ratio 8 , and the maximum possible penetration of both technologies 22 .…”

Section: Introductionmentioning

confidence: 95%

“…The temporal matching between midday PV power production and EV non-residential charging motivated researchers as early as 1997 to investigate the potential for synergy between PV and EVs 6 . Synergies between the two technologies were recently modeled on the scale of a few buildings [7][8][9][10][11] , a residential neighborhood 12,13 , a university microgrid 14 , a city [15][16][17][18] , and on regional and national scales 19,20 . As regards the types of the buildings, residential buildings 11 , workplace buildings 8,10 , a university 9 , and a hotel 7 were simulated.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to these benefits, some challenges have been identified, e.g., an increase in the variability of the load of the households 15 , along with a regional 19 and a seasonal 16 mismatch of the SC. Another important challenge is the need for smart charging and control strategies to achieve some of these benefits 7,8,12,23 . These strategies had numerous objectives such as increasing the SC of PV 8,12 , reducing grid losses 23 , and achieving a net zero energy building (NZEB) 7 .…”

Section: Introductionmentioning

confidence: 99%

“…Another important challenge is the need for smart charging and control strategies to achieve some of these benefits 7,8,12,23 . These strategies had numerous objectives such as increasing the SC of PV 8,12 , reducing grid losses 23 , and achieving a net zero energy building (NZEB) 7 .…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Shepero

Lingfors

Widén

et al. 2020

Journal of Renewable and Sustainable Energy

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show abstract

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Shepero

Lingfors

Widén

et al. 2020

Journal of Renewable and Sustainable Energy

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show abstract

“…In addition, the combination of real-time pricing and capacity block pricing policies would pronouncedly promote the adoption of battery storage. In the electric vehicle market, the electric storage capability and its high investment cost is the bottleneck that limits the development of electrical vehicles [140]. Calise et al [141] presented a thermo-economic analysis for combining electric energy storage (EES) system and photovoltaic energy considering the environmental impact, which suggests a novel sustainable mobility goal.…”

Section: Power Plant and Electric Systemsmentioning

confidence: 99%

Recent Advances in Technology, Strategy and Application of Sustainable Energy Systems

et al. 2020

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The global COVID-19 pandemic has had strong impacts on national and international freight, construction and tourism industry, supply chains, and has resulted in a rapid decline in the demand for traditional energy sources. In fact, research has outlined that urban areas depend on global supply chains for their day-to-day basic functions, including energy supplies, food and safe access to potable water. The disruption of global supply chains can leave many urban areas in a very vulnerable position, in which their citizens may struggle to obtain their basic supplies, as the COVID-19 crisis has recently shown. Therefore, solutions aiming to enhance local food, water and energy production systems, even in urban environments, have to be pursued. The COVID-19 crisis has also highlighted in the scientific community the problem of people’s exposure to outdoor and indoor pollution, confirmed as a key element for the increase both in the transmission and severity of the contagion, on top of involving health risks on their own. In this context, most nations are going to adopt new preferential policies to stimulate the development of relevant sustainable energy industries, based on the electrification of the systems supplied by renewable energy sources as confirmed by the International Energy Agency (IEA). Thus, while there is ongoing research focusing on a COVID 19 vaccine, there is also a need for researchers to work cooperatively on novel strategies for world economic recovery incorporating renewable energy policy, technology and management. In this framework, the Sustainable Development of Energy, Water and Environment Systems (SDEWES) conference provides a good platform for researchers and other experts to exchange their academic thoughts, promoting the development and improvements on the renewable energy technologies as well as their role in systems and in the transition towards sustainable energy systems. The 14th SDEWES Conference was held in Dubrovnik, Croatia. It brought together around 570 researchers from 55 countries in the field of sustainable development. The present Special Issue of Energies, specifically dedicated to the 14th SDEWES Conference, focuses on four main fields: energy policy for sustainable development, biomass energy application, building energy saving, and power plant and electric systems.

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Integrating renewable energy in electric V2G : Improved optimization assisting dispatch model

Shobana¹,

Praghash

Ramya

et al. 2022

Intl J of Energy Research

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Summary “Electric vehicles (EVs) are one of the most promising technologies to green the transportation systems. However, high penetration of EVs brings heavy electricity demand to the power grid.” Due to the intermittent character of renewable energy sources (RESs), it turns out to be very challenging to manage EV charging with other renewable generation and grid load. This paper aims to introduce a dispatch strategy assisted with the optimization concept for enhancing the economy of the microgrid system. The major objective is to minimize the cost of system operation and environmental control when meeting system load requirements. The output constraints related to the distributed power supply, such as power limits, are subjected to optimization. To solve this optimization issue, a new “Fitness Sorted Moth Search algorithm (FS‐MSA)” is introduced. Finally, the proposed work is compared and validated with other existing works with respect to various measures. The enhanced outcomes prove the efficacy of the implemented FS‐MSA model. This work concentrates on EV adoption integrated with RES for sustainable mobility. On observing the result, it can be noticed that the adopted scheme was 81.97%, 82.03%, 82%, and 81.97%, better than existing genetic algorithm, particle swarm optimization (PSO), moth search algorithm, and lagrange multiplier optimization (LMO) models for mean case scenario.

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Dynamic analysis of the integration of electric vehicles in efficient buildings fed by renewables

Cited by 61 publications

References 54 publications

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Recent Advances in Technology, Strategy and Application of Sustainable Energy Systems

Integrating renewable energy in electric V2G : Improved optimization assisting dispatch model

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