Optimal performance of electric vehicles parking lot considering environmental issue

Jannati, Jamil; Nazarpour, Daryoush

doi:10.1016/j.jclepro.2018.09.222

Cited by 57 publications

(33 citation statements)

References 73 publications

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“…Understanding knowledge of environmental issues is the assessment or opinion of someone in responding to environmental issues (Jannati & Nazarpour, 2019;Malvestio, Fischer, & Montaño, 2018). More knowledge about environmental issues that are owned by individuals, the better behavior will be towards to the environment.…”

Section: Introductionmentioning

confidence: 99%

The effect of intention to act and knowledge of environmental issues on environmental behavior

Iman

Miarsyah

Sigit

2019

JPBI

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Intention to act and environmental issues knowledge has been assumed as the two variables which affect people’s environmental behavior. This study aimed at determining the correlations between variables (i.e. intention to act, environmental issues knowledge, and environmental behavior) on biology teachers in State High Schools of Pandeglang Regency. This survey research used quantitative approach. The sample was 51 teachers chosen using simple random sampling. Meanwhile, the population was 61 teachers in State High Schools of Pandeglang Regency. The data gained were analyzed using path analysis. The results showed that environmental knowledge gives direct impact on environmental behavior with coefficient value was 0.472. The same phenomena were also occurred in the intention to act towards the teachers’ environmental behavior (0.508). In addition, the intention to act was directly influenced by environmental knowledge (0.364), while the environmental behavior was indirectly affected by environmental knowledge (0.185). Thus, the findings of this study can be basic information to determine the most proper strategy to cultivate a good environmental behavior.

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Section: Introductionmentioning

confidence: 99%

The effect of intention to act and knowledge of environmental issues on environmental behavior

Iman

Miarsyah

Sigit

2019

JPBI

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“…Within this framework, Shamshirband et al [30] have developed a MINLP model for the optimal charging/discharging scheduling of PEVs aggregators in a smart microgrid equipped with V2G capability, through the minimization of operating costs and carbon emissions, though their study lacks the application of DRPs as an energy management strategy to improve system sustainability. Jannati and Nazarpour [31] have proposed a bi-objective framework for the optimization of renewable-driven SPL systems based on the weighted sum technique and a fuzzy decision-making algorithm. The authors have applied TOU prices in a DRP to minimize both operating costs and greenhouse gas (GHG) emissions, by shifting power demands from peak time periods to off-peak ones.…”

Section: Literature Review On V2g Optimization Approachesmentioning

confidence: 99%

“…Thus, its application can be critical to maximize value for both system operator and end-user at minimum Eco-costs (environmental burden). To the best of our knowledge, although some attempts have been made to optimize both economic and emission dispatch [21,31], the application of the Eco-cost indicator has not been addressed in the pertaining literature so far. Additional major contributions and innovative features introduced by this study include:…”

Section: Contributions Of This New Approachmentioning

confidence: 99%

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

2020

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Vehicle-to-grid (V2G) technology heralds great promise as a demand-side resource to contribute to more efficient grid management and promote the use of decentralized renewable energy. In this light, we propose a new optimization model for the sustainable energy and reserve market management in renewable-driven microgrid (RMG) plug-in electric vehicles (PEVs) parking lot systems. The RMG is composed of a hybrid photovoltaic/wind/hydrogen energy and storage system, along with local dispatchable generation units and bidirectional grid connection. The RMG is coupled to a smart PEVs parking lot, which is equipped with grid-to-vehicle (G2V) and V2G technologies allowing for not only PEVs aggregation and control but also optimal allocation of energy resources. Time-of-use (TOU) prices are considered in a demand response program (DRP) to enhance both economic and environmental performances by encouraging end-users to shift their energy demands from peak to off-peak time periods. Additionally, the model accounts for an economic incentive to PEVs owners to compensate for battery degradation. The integrated system eco-efficiency is evaluated through the application of the novel life cycle assessment-based Eco-cost indicator. The resulting mixed-integer linear programming model to minimize sustainability costs is implemented in GAMS and solved to global optimality. Different case studies are performed to demonstrate the effectiveness of the proposed modelling approach. Energy analyses results reveal that the optimal G2V-V2G operation, allied to TOU prices in a DRP, and reserve market management can reduce around 42% the energy and environmental costs of the RMG-PEVs parking lot system.

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“…In this paper, batteries can be charged with variable electricity prices from the grid and renewable energy plants. Jannati and Nazarpour [26] presented a bi-objective optimization method to address the scheduling problems of parking lots equipped with photovoltaic panels. Meanwhile, to mitigate both environmental and economic concerns, demand response programs have been applied.…”

Section: Literature Reviewmentioning

confidence: 99%

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

et al. 2020

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Selecting an appropriate contract price between electric vehicle aggregators and electric vehicle owners is an uncertain, multi-criteria decision-making issue. In addition, the results can cause strong conflict due to different aims: the optimal value for increasing electric vehicle aggregator (EVA) profit negatively affects the cost for owners. The value of the contract price can change the optimal scheduling of EVAs in the day-ahead market. Taking into consideration this context, the current paper proposes to solve the multi-objective scheduling problem of an aggregator with a goal programming approach. The presented approach sets a satisfaction level for each goal according to decision-makers' preference. Numerical results illustrate the validity of this approach to balance different performance measures. Furthermore, optimal scheduling of electric vehicle aggregators in the day-ahead market is created.

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Optimal performance of electric vehicles parking lot considering environmental issue

Cited by 57 publications

References 73 publications

The effect of intention to act and knowledge of environmental issues on environmental behavior

The effect of intention to act and knowledge of environmental issues on environmental behavior

Optimal Energy and Reserve Market Management in Renewable Microgrid-PEVs Parking Lot Systems: V2G, Demand Response and Sustainability Costs

Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market

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