Model based systems engineering high level design of a sustainable electric vehicle charging and swapping station using discrete event simulation

2018 ◽  
Author(s):  
Obinna Ginigeme ◽  
Aldo Fabregas
Keyword(s):  
Electric Vehicle ◽  
Discrete Event Simulation ◽  
Systems Engineering ◽  
Discrete Event ◽  
Event Simulation ◽  
Model Based ◽  
Electric Vehicle Charging ◽  
Level Design ◽  
High Level ◽  
Model Based Systems Engineering

scholarly journals Modeling Electric Vehicle Charging Demand with the Effect of Increasing EVSEs: A Discrete Event Simulation-Based Model

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3734
Author(s):  
Neil Stephen Lopez ◽  
Adrian Allana ◽  
Jose Bienvenido Manuel Biona
Keyword(s):  
Electric Vehicle ◽  
Discrete Event Simulation ◽  
Internal Combustion Engines ◽  
Discrete Event ◽  
Significant Shift ◽  
Peak Demand ◽  
Event Simulation ◽  
Electric Vehicle Charging ◽  
Battery Capacity ◽  
Vehicle Charging

Electric vehicle (EV) use is growing at a steady rate globally. Many countries are planning to ban internal combustion engines by 2030. One of the key issues needed to be addressed before the full-scale deployment of EVs is ensuring energy security. Various studies have developed models to simulate and study hourly electricity demand from EV charging. In this study, we present an improved model based on discrete event simulation, which allows for modeling characteristics of individual EV users, including the availability of electric vehicle supply equipment (EVSE) outside homes and the charging threshold of each EV user. The model is illustrated by simulating 1000 random electric vehicles generated using data from an actual survey. The results agree with previous studies that daily charging demands do not significantly vary. However, the results show a significant shift in charging schedule during weekends. Moreover, the simulation demonstrated that the charging peak demand can be reduced by as much as 11% if EVSEs are made more available outside homes. Interestingly, a behavioral solution, such as requiring users to fully utilize their EV’s battery capacity, is more effective in reducing the peak demand (14–17%). Finally, the study concludes by discussing a few potential implications on electric vehicle charging policy.

scholarly journals Coupling Game Theory and Discrete-Event Simulation for Model-Based Ambulance Dispatching

2018 ◽  
Vol 136 ◽  
pp. 398-407 ◽  
Author(s):  
Xinyu Fu ◽  
Alva Presbitero ◽  
Sergey V. Kovalchuk ◽  
Valeria V. Krzhizhanovskaya
Keyword(s):  
Game Theory ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation ◽  
Model Based

System alternatives for modular, zero-emission high-speed ferries

2021 ◽  
Author(s):  
Benjamin Lagemann ◽  
Tobias Seidenberg ◽  
Christoph Jürgenhake ◽  
Stein Ove Erikstad ◽  
Roman Dumitrescu
Keyword(s):  
Systems Engineering ◽  
High Speed ◽  
Discrete Event ◽  
System Architectures ◽  
Event Simulation ◽  
Conceptual Design Phase ◽  
Low Emission ◽  
System Configurations ◽  
Model Based Systems Engineering ◽  
Passenger Ferry

Low emission requirements exert increasing influence upon ship design. The large variety of technological options makes selecting systems during the conceptual design phase a difficult endeavor. To compare different solutions, we need to be able to exchange individual systems and directly evaluate their impact on the design’s economic and environmental performance. Based on the idea of model-based systems engineering, we present a modular synthesis approach for ship systems. The modules are coupled to a discrete event simulation and allow for a case-based assessment of system configurations. We apply this method to a high-speed passenger ferry and show how it can provide decision support for hydrogen- and battery-based system architectures.

scholarly journals A Data-Centric Approach for Model-Based Systems Engineering

2015 ◽  
Vol 3 (6) ◽  
pp. 549-560 ◽  
Author(s):  
Guoxiong Zhan ◽  
Bingfeng Ge ◽  
Minghao Li ◽  
Kewei Yang
Keyword(s):  
Systems Engineering ◽  
Data Dictionary ◽  
Semantic Relationships ◽  
Model Based ◽  
Level Data ◽  
Data Elements ◽  
High Level ◽  
Traceability Matrix ◽  
Requirement Traceability ◽  
Model Based Systems Engineering

Abstract A data-centric approach is proposed to facilitate the design and analysis of challenging complex systems and address the problems of currently existing model-based systems engineering (MBSE) methodologies. More specifically, based on three core steps of current MBSE methodologies, a high-level data meta-model, depicting the semantic relationships of high-level data concepts, is first presented to guide the data modeling for systems engineering (SE). Next, with respect to the six high-level data concepts, the data elements are collected as the modeling primitives to construct static and/or executable models, which can also act as a common and consistent data dictionary for SE. Then, the mapping associations amongst core data elements are established to associate the model elements in different steps and achieve the requirement traceability matrix. Finally, the feasibility of the proposed approach is demonstrated with an illustrative example.

Sign in / Sign up

Export Citation Format

Share Document