Comparative study of sustainable drainage systems

The use of sustainable drainage systems (Suds) forms an important part of the requirement to conserve natural resources in an age of ever-increasing consumption. This paper explores the options available in the design of drainage systems, by virtue of a project to design two systems for a greenfield site with office and car parking. One design is a conventional piped setup and the other is a 'sustainable' drainage system. The design approach is not biased towards the conventional or sustainable system, but aims to seek out best practice in terms of economics and simplicity of design for each type. This computer-based software simulation study of the two drainage systems includes an introduction to Suds, with a description of the principles and techniques involved. There is further information on who is driving the requirements for implementation and the methods used to do so. This background will then inform the comparative study of drainage system designs

Industrial process simulation for manufacturing performance assessment

Industrial process simulation for manufacturing process assessment As the industrial requirements change at an important pace due to the evolution of Technology and the digitalization of Manufacturing and Production operations, the necessity of investigating potential alternatives toward more efficient industrial line design arises more intensely than ever. The urge towards the digitalization of production in the context of the industry 4.0 framework has shaped the rise of simulation in the design and operation of manufacturing systems. Industrial system simulation is a power tool for designing and evaluating the performance of manufacturing systems, due to its low cost, low risk, and quick analysis and insight that it provides. This paper studies the usage of simulation models and ARENA simulation software in the analysis and simulation of an industrial manufacturing line located in lab TR2 at UPC, using Discrete Event System technique, which is based on queue theory. This paper proposed a methodic method and steps used for modelling the lined by using DES technique, which describes a system response in occurrence of an event possibly required to meet certain conditions. Finally, the paper addresses the improvement opportunity on the retainers of the line to better its production capacity.Incomin

Software-Defined Network-Based Vehicular Networks: A Position Paper on Their Modeling and Implementation

There is a strong devotion in the automotive industry to be part of a wider progression towards the Fifth Generation (5G) era. In-vehicle integration costs between cellular and vehicle-to-vehicle networks using Dedicated Short Range Communication could be avoided by adopting Cellular Vehicle-to-Everything (C-V2X) technology with the possibility to re-use the existing mobile network infrastructure. More and more, with the emergence of Software Defined Networks, the flexibility and the programmability of the network have not only impacted the design of new vehicular network architectures but also the implementation of V2X services in future intelligent transportation systems. In this paper, we define the concepts that help evaluate software-defined-based vehicular network systems in the literature based on their modeling and implementation schemes. We first overview the current studies available in the literature on C-V2X technology in support of V2X applications. We then present the different architectures and their underlying system models for LTE-V2X communications. We later describe the key ideas of software-defined networks and their concepts for V2X services. Lastly, we provide a comparative analysis of existing SDN-based vehicular network system grouped according to their modeling and simulation concepts. We provide a discussion and highlight vehicular ad-hoc networks' challenges handled by SDN-based vehicular networks.Comment: 14 pages, 3 figures, Sensors 201

SISTEM ANTRIAN PEMBAYARAN LOKET BERBASIS MIKROKONTROLER

Programming through computer technology at the present time have rapid development. This shows a trend towards the development of a more practical means of technology, efficient and economical to facilitate and accelerate human activity. through Visual Basic 6.0 program can be made ​​through the automated application system computer as a means of control. Application made by the author is in the form queuing system. The purpose of this research is to create software systems used to regulate or control the retrieval and dialing a number queue at the counter. Making an application is expected to ease activity and effectiveness of the counter clerk in the service transaction queue (electric bill, phone bill, and account taps, etc.) so that can run an orderly queue. In realizing this Final writing using the method simulation to solve the queuing system design software using Visual Basic 6.0 programming language and hardware microcontroller using the Bascom to translate the input or output, performance simulation of queuing systems to manage and control the call number queue based on the principles of the discipline's "first entry, first out" (FIFO = First-In, First-Out), using the queuing system helps counter clerk in the service of pengantri, pengantri not be standing in line in front of the booth but it helps counter the officer giving service quickly

A Comprehensive Optimization Framework for Designing Sustainable Renewable Energy Production Systems

As the world has recognized the importance of diversifying its energy resource portfolio away from fossil resources and more towards renewable resources such as biomass, there arises a need for developing strategies which can design renewable sustainable value chains that can be scaled up efficiently and provide tangible net environmental benefits from energy utilization. The objective of this research is to develop and implement a novel decision-making framework for the optimal design of renewable energy systems. The proposed optimization framework is based on a distributed, systematic approach which is composed of different layers including systems-based strategic optimization, detailed mechanistic modeling and operational level optimization. In the strategic optimization the model is represented by equations which describe physical flows of materials across the system nodes and financial flows that result from the system design and material movements. Market uncertainty is also incorporated into the model through stochastic programming. The output of the model includes optimal design of production capacity of the plant for the planning horizon by maximizing the net present value (NPV). The second stage consists of three main steps including simulation of the process in the simulation software, identification of critical sources of uncertainties through global sensitivity analysis, and employing stochastic optimization methodologies to optimize the operating condition of the plant under uncertainty. To exemplify the efficacy of the proposed framework a hypothetical lignocellulosic biorefinery based on sugar conversion platform that converts biomass to value-added biofuels and biobased chemicals is utilized as a case study. Furthermore, alternative technology options and possible process integrations in each section of the plant are analysed by exploiting the advantages of process simulation and the novel hybrid optimization framework. In conjunction with the simulation and optimization studies, the proposed framework develops quantitative metrics to associate economic values with technical barriers. The outcome of this work is a new distributed decision support framework which is intended to help economic development agencies, as well as policy makers in the renewable energy enterprises

Agent-oriented software engineering methodologies : analysis and future directions

The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite the presence of agent-oriented software engineering (AOSE) methodologies. One of the moves towards compensating for this issue is to compile various available methodologies, ones that are comparable to the evolution of the unified modeling language (UML) in the domain of object-oriented analysis and design. These have become de facto standards in software development. In line with this objective, the present research attempts to comprehend the relationship among seven main AOSE methodologies. More specifically, we intend to assess and compare these seven approaches by conducting a feature analysis through examining the advantages and limitations of each competing process, structural analysis, and a case study evaluation method. This effort is made to address the significant characteristics of AOSE approaches. The main objective of this study is to conduct a comprehensive analysis of selected AOSE methodologies and provide a proposal of a draft unified approach that drives strengths (best) of these methodologies towards advancement in this area.publishedVersio

An investigation into modelling approaches for industrial symbiosis: a literature review

The aim of this paper is to understand how to model industrial symbiosis networks in order to favour its implementation and provide a framework to guide companies and policy makers towards it. Industrial symbiosis is a clear example of complex adaptive systems and traditional approaches (i.e., Input/Output analysis, Material flow analysis) are not capable to capture these dynamics behaviours. Therefore, the aim of this literature review is to investigate: i) the most used modelling and simulation approaches to analyse industrial symbiosis and ii) their characteristics in terms of simulation methods, interaction mechanisms and simulations software. Findings from our research suggest that a hybrid modelling and simulation approach, based on agent-based and system dynamics, could be an appropriate method for industrial symbiosis analysis and design

FPGA urban traffic control simulation and evaluation platform

Mestrado em Engenharia Electrónica e TelecomunicaçõesThe study and development towards Urban Traffic Management and Control (UTMC) Systems have not solely or recently gained extreme importance only due to obvious issues such as traffic safety improvement, traffic congestion control and avoidance but also due to other underlying factors such as urban transportation efficiency, urban traffic originated air pollution and future concepts as are autonomous vehicle systems, which are presently taking shape. Generally speaking urban traffic simulations occur in a software environment, which comes to hinder the progress taken towards the actual implementation of UTMC systems. The reason to why such happens is based on the fact that urban traffic controllers are usually implemented and executed on hardware platforms, therefore software based models don‟t support an actual implementation directly. In this study we explore a novel approach to urban traffic simulation, aimed to eliminate the timeframe and work-distance between the UTMC system‟s design and an eventual implementation, where a Field Programmable Gate Array (FPGA) is used to execute a simulation model of an urban traffic network. Since the resource to FPGAs implies a hardware based execution, the resulting implementation of each traffic management and control element can be considered not only as having a close matched behavior to a real world implementation but also as an actual prototype. From the simulation viewpoint the use of FPGA‟s holds the prospect of being able to hold execution speeds many times faster than software based simulations as FPGA designs are able to execute a large number of parallel processes. This study shows that an Urban Traffic Control Simulation and Test Platform is possible by implementing a relatively simple urban network model in a low end FPGA. This result implies that with further time and resource investments a rather complex system can be developed which can handle large scale and complex UTMC systems with the promise of shortening the work distance between the concept and a real world running implementation

Dataflow methods in HPC, visualisation and analysis

The processing power available to scientists and engineers using supercomputers over the last few decades has grown exponentially, permitting significantly more sophisticated simulations, and as a consequence, generating proportionally larger output datasets. This change has taken place in tandem with a gradual shift in the design and implementation of simulation and post-processing software, with a shift from simulation as a first step and visualisation/analysis as a second, towards in-situ on the fly methods that provide immediate visual feedback, place less strain on file-systems and reduce overall data-movement and copying. Concurrently, processor speed increases have dramatically slowed and multi and many-core architectures have instead become the norm for virtually all High Performance computing (HPC) machines. This in turn has led to a shift away from the traditional distributed one rank per node model, to one rank per process, using multiple processes per multicore node, and then back towards one rank per node again, using distributed and multi-threaded frameworks combined. This thesis consists of a series of publications that demonstrate how software design for analysis and visualisation has tracked these architectural changes and pushed the boundaries of HPC visualisation using dataflow techniques in distributed environments. The first publication shows how support for the time dimension in parallel pipelines can be implemented, demonstrating how information flow within an application can be leveraged to optimise performance and add features such as analysis of time-dependent flows and comparison of datasets at different timesteps. A method of integrating dataflow pipelines with in-situ visualisation is subsequently presented, using asynchronous coupling of user driven GUI controls and a live simulation running on a supercomputer. The loose coupling of analysis and simulation allows for reduced IO, immediate feedback and the ability to change simulation parameters on the fly. A significant drawback of parallel pipelines is the inefficiency caused by improper load-balancing, particularly during interactive analysis where the user may select between different features of interest, this problem is addressed in the fourth publication by integrating a high performance partitioning library into the visualization pipeline and extending the information flow up and down the pipeline to support it. This extension is demonstrated in the third publication (published earlier) on massive meshes with extremely high complexity and shows that general purpose visualization tools such as ParaView can be made to compete with bespoke software written for a dedicated task. The future of software running on many-core architectures will involve task-based runtimes, with dynamic load-balancing, asynchronous execution based on dataflow graphs, work stealing and concurrent data sharing between simulation and analysis. The final paper of this thesis presents an optimisation for one such runtime, in support of these future HPC applications