Electric Vehicle Charging Simulation Framework Considering Traffic,User,and Power Grid

The traffic and user have significant impacts on the electric vehicle(EV)charging load but are not considered in the existing research.We propose a novel integrated simulation framework considering the traffic,the user,and power grid as well as the EV traveling,parking and charging based on cellular automaton(CA).The traffic is modeled by the traffic module of the proposed framework based on CA,while the power grid and user are modeled in the EV charging module.The traffic flow,user’s charging preference,user’s charging satisfaction,and the total supply capability(TSC)in the surveyed region are considered in the proposed framework.Two cases are carried out to show the interactions between the user and power grid.It is shown that the proposed framework can accurately simulate the interactions among traffic situation,user's behavior and TSC,which are significantly lacking in the existing research.The proposed framework is scalable in considering additional interrelated elements.

Computational exploration of H_2S/CH_4 mixture separation using acid-functionalized UiO-66(Zr) membrane and composites

A computational study was firstly performed in this work to examine the applicability of an acid-functionalized metal-organic framework(MOF), Ui O-66(Zr)-(COOH)2, in membrane-based H2S/CH4 separation. The results show that this MOF could be potentially interesting when being used as the pure membrane material for the separation of the mixture with low H2 S concentration. Further, the performance of 10 different mixed matrix membranes(MMMs) on the basis of the MOF was predicted by combing the molecular simulation data and the Maxwell permeation model. The results indicate that using this MOF as filler particles in MMMs can signi ficantly enhance the permeation performance of pure polymers. The findings obtained in this work may be helpful in facilitating the application of this promising MOF for practical desulfurization process of fuel gas.

SimK:A Large-Scale Parallel Simulation Engine

Simulation is an important method to evaluate future computer systems. Currently microprocessor architecture has switched to parallel, but almost all simulators remained at sequential stage, and the advantages brought by multi-core or many-core processors cannot be utilized. This paper presents a parallel simulator engine （SimK） towards the prevalent SMP/CMP platform, aiming at large-scale fine-grained computer system simulation. In this paper, highly efficient synchronization, communication and buffer management policies used in SimK are introduced, and a novel lock-free scheduling mechanism that avoids using any atomic instructions is presented. To deal with the load fluctuation at light load case, a cooperated dynamic task migration scheme is proposed. Based on SimK, we have developed large-scale parallel simulators HppSim and HppNetSim, which simulate a full supercomputer system and its interconnection network respectively. Results show that HppSim and HppNetSim both gain sound speedup with multiple processors, and the best normalized speedup reaches 14.95X on a two-way quad-core server.

Activity-based simulation using DEVS: increasing performance by an activity model in parallel DEVS simulation

Improving simulation performance using activity tracking has attracted attention in the modeling field in recent years.The reference to activity has been successfully used to predict and promote the simulation performance.Tracking activity,however,uses only the inherent performance information contained in the models.To extend activity prediction in modeling,we propose the activity enhanced modeling with an activity meta-model at the meta-level.The meta-model provides a set of interfaces to model activity in a specific domain.The activity model transformation in subsequence is devised to deal with the simulation difference due to the heterogeneous activity model.Finally,the resource-aware simulation framework is implemented to integrate the activity models in activity-based simulation.The case study shows the improvement brought on by activity-based simulation using discrete event system specification(DEVS).

A COMPONENT-BASED MODELING AND SIMULATION SUPPORTING ENVIRONMENT

Simulation modelers,engineers and managers are faced with new challenges at large-scale complex simulation application development.To reduce the difficulty of developing such simulation applications,the simulation environment is required to be extensible,reusable and composable.In order to promote the reusability from coarse-grained federate to fine-grained components,this paper proposes a modeling and simulation environment which consists of component-based architecture,modeling methods,and simulation services to support and simplify the process of complex simulation application construction.Moreover,a standard process and simulation tools are developed to ensure the rapid and effective development of simulation applications.

A methodology for quantitative assessment of the features and capabilities of software frameworks for model composition

A software framework is an infrastructure or architecture intended to enable the integration and interoperation of a set of software components.A specialized type of software frameworks are those specifically designed to support the composition of models or other components within a simulation system.Such frameworks are intended to simplify the process of assembling a complex model or simulation system from simpler component models as well as to promote the reuse of the component models.Several different types of software frameworks for model composition have been designed and implemented;the various framework types have different component types,processes for composing models,and intended applications.The different framework types and the implemented examples of them vary widely in terms of features and capabilities.Comparing alternative frameworks so as to assess their likely utility for a specific application has heretofore been largely subjective and qualitative,and consequently of uncertain reliability.To address this issue an assessment methodology specifically designed for comparing model composition frameworks is developed and explained.The methodology employs a quantitative metric based on a set of well-defined criteria relating to the features and capabilities of simulation frameworks and is intended to be objective and quantitative.The methodology is illustrated and demonstrated by applying it to a set of existing model composition frameworks.The assessment results suggest that using the methodology can,at a minimum,improve the objectivity and reliability of framework selection decisions.The assessment criteria may also be useful as guidelines when designing and developing a framework.