Techno-economic design of energy systems for airport electrification: A hydrogen-solar-storage integrated microgrid solution

Xiang, Yue; Cai, Hanhu; Liu, Junyong; Zhang, Xin

doi:10.1016/j.apenergy.2020.116374

Cited by 74 publications

(29 citation statements)

References 40 publications

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“…Airports, as major transport hubs, accommodate large parking facilities and are strongly affected by the massive deployment of electrical mobility, as discussed, e.g., by Triebke et al [34]. Few studies on the electrification of road transports to airports and the allocation of EV charging in the airport premises are available [34][35][36]. Most research on airports focuses on energy saving and integration [37][38][39].…”

Section: Field Of Action Advantage Disadvantagementioning

confidence: 99%

“…The present paper takes its cue from the necessity to upgrade airports to accommodate EV charging infrastructure. While other studies use statistical approaches [34,35], in this work, a deterministic approach is used, to carry out a median, deterministic analysis, based on the large amount of detailed input data provided by the airport operator. The objectives of the work are:…”

Section: Field Of Action Advantage Disadvantagementioning

confidence: 99%

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Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport

et al. 2021

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Following electrification of automotive transport, studies on the penetration of electric vehicles (EVs) are widespread, especially in defined contexts. As major transport hubs, airports fall within contexts worthy of interest. In this work, a forecast of the demand for electric mobility in an Italian international airport (Rome–Fiumicino) is presented. The main goal of the research is to build up a methodology that allows evaluating the penetration index of EVs that will access the airport parks in 2025 and 2030, to be able to have a preliminary assessment of the number of charging points necessary for serving them. In the paper, first, a wide review of proposed scenarios on the penetration of EVs at international and national level and available data on local automotive transport are presented, as a preliminary study for the definition of reference scenarios for the local context. Then, the proposed methodology is presented and applied to the specific case study. Finally, a preliminary sizing of the required charging infrastructure is reported. The results show that a significant impact on the airport electricity network can be foreseen, and it requires proper planning of adaptation/upgrading actions. The proposed approach can be considered as a reference for similar studies on electrical mobility in other airport areas around the world.

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Section: Field Of Action Advantage Disadvantagementioning

confidence: 99%

Section: Field Of Action Advantage Disadvantagementioning

confidence: 99%

Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport

et al. 2021

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“…Planning Dimension Software/Technique Technical and economic design, modelling and performance analysis of microgrid systems based on renewable and non-renewable resources and storage TE MILP [10]; HOMER/ANN-BP and LM [11]; optimal and sensitivity analysis [13]; HOMER/comparative analysis [14,15]; MANGO [16]; HOMER/integrated analysis [18]; modified non-dominated sorting GA [19]; MATLAB/MILP [20]; mixed integer MOO [22]; GA [23]; HOMER [24]; Monte Carlo simulation [25]; HOMER/PSO [26]; HOMER/TOPSIS [27]; HOMER/MATLAB [28]; GA [32]; HOMER/MATLAB [33]; HOMER/MATLAB/DSM [34]; HOHER RETScreen [35]; CPLEX [37], MATLAB/MPM-GAMS [40]; MOO [42] Technical, economic and environmental design, simulation and performance analysis of microgrid system with storage TEE MILP [10]; Eco-SIM [31]; RETScreen [36]; AHP-MCDM [38] Social, technical and economic design, modelling and analysis of microgrid systems STE GA, PSO and TLBO [12]; DIgSILENT PowerFactory, HOMER/integrated analysis [21] Technical design, modelling and performance analysis of microgrid systems T GA and Python optimal control problem [29]; MOO and MCDM [30]; fuzzy logic control strategy [39]; MATLAB Simulink/agent-based model [41]; MATLAB and HOMER [43], IoT-based approach [44] The study introduces a practical simulation framework for sustainable energy planning, which is based on the social-technical-economic-environmental-policy (STEEP) model. This model is comprehensive than the other models such as TE, ST, STE, TEE or T planning dimensions.…”

Section: Study Presentedmentioning

confidence: 99%

“…where N bt , I m and V n is the number of battery cells, battery MCC (A), and the single battery cell voltage (V), respectively. The maximum P MCR is equated to the minimum values of the three key parameters shown in Equation (10) assuming that each applies after the battery charging losses:…”

Section: Battery Modelmentioning

confidence: 99%

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

et al. 2021

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Energy systems modelling and design are a critical aspect of planning and development among researchers, electricity planners, infrastructure developers, utilities, decision-makers, and other relevant stakeholders. However, to achieve a sustainable energy supply, the energy planning approach needs to integrate some key dimensions. Importantly, these dimensions are necessary to guide the simulation and evaluation. It is against this backdrop that this paper focuses on the simulation and analysis approaches for sustainable planning, design, and development of microgrids based on clean energy resources. The paper first provides a comprehensive review of the existing simulation tools and approaches used for designing energy generation technologies. It then discusses and compares the traditional strategies and the emerging trends in energy systems simulation based on the software employed, the type of problem to be solved, input parameters provided, and the expected output. The paper introduces a practical simulation framework for sustainable energy planning, which is based on the social-technical-economic-environmental-policy (STEEP) model. The STEEP represents a holistic sustainability model that considers the key energy systems planning dimensions compared to the traditional techno-economic model used in several existing simulation tools and analyses. The paper provides insights into data-driven analysis and energy modelling software development applications.

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“…The present work deals with a study made for forecasting of the demand for electric mobility for a specific area in Italy that is Rome-Fiumicino International Airport. Similar studies on the electrification of road transports to airports and the allocation of EVs charging in airports are included in [17,18]. The work takes its cue from the necessity to upgrade airports, as major transport hubs, to accommodate electrical mobility.…”

Section: Introductionmentioning

confidence: 99%

Forecast of the demand for electric mobility for Rome-Fiumicino International Airport

Acri¹,

Barone²,

Cambula³

et al. 2021

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Following electrification of automotive transport, studies on the penetration of Electric Vehicles (EVs) are widespread, especially in defined contexts, e.g. cities. As major transport hubs, airports fall within contexts worth of interest. In this work, a forecast of the demand for electric mobility in an Italian international airport (Rome, Fiumicino) is presented. First, a wide review of proposed sce-narios on the penetration of EVs at international and national level and available data on local automotive transport are presented, as preliminary study for the definition of reference scenarios for the local context. Then the methodology proposed is presented and applied to the specific case study. Finally, a preliminary sizing of the required charging infrastructure is reported. The proposed approach can be considered as reference for similar studies on electrical mobility in other airport areas around the world.

show abstract

Techno-economic design of energy systems for airport electrification: A hydrogen-solar-storage integrated microgrid solution

Cited by 74 publications

References 40 publications

Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport

Forecast of the Demand for Electric Mobility for Rome–Fiumicino International Airport

Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application

Forecast of the demand for electric mobility for Rome-Fiumicino International Airport

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