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Journal Paper Accepted: Symmetrica: Test Case for Tansportation Electrification Research

by Thomas van der Wardt

The LIINES is happy to announce that our recent paper entitled: “Symmetrica: Test Case for Tansportation Electrification Research” has been published in the journal Infrastructure Complexity. Written by Prof. Amro M. Farid, this paper presents a test case for electric vehicle integration studies.

Electrified transportation has emerged in recent years as a means to reduce CO2 emissions and support energy efficiency. For this trend to succeed in the long term, electric vehicles must be integrated into the infrastructure systems that support them. Electric vehicles couple two such large systems; the transportation system and the electric power system into a nexus.

Electric vehicle integration, much like solar PV and wind integration years ago, has been fairly confined to small fleets of tens of vehicles. Such small pilot projects do not present a significant technical challenge. Their large scale adoption, however, must be carefully studied to avoid degrading overall infrastructure performance. Transportation electrification test cases serve to study infrastructure behavior well before reaching a full deployment of electric vehicles. Such a test case would resemble those often used in power systems engineering to serve methodological development in the design, planning, and operation of such systems.

The arguments for a test case to study the transportation electricity nexus are five-fold. First, a standardized test case is required to test, and compare analytical methods. In power systems, test cases served an essential role in the maturation of power flow analysis, stability studies, and contingency analysis. The transportation-electricity nexus will ultimately also require similar assessments. Secondly, using real data from critical infrastructure may be imprudent. For example, real data may reveal weak points in a power system which may be exploited by unauthorized personnel. Thirdly, a test case serves to support fundamental understanding by broadening intuition development. For the transportation-electricity nexus, understanding the effect of increasingly interdependent dynamics, will result in new requirements for optimization and control for its planning and operation. Naturally, this new found intuition serves the fourth reason of methodological development. A test case serves facilitates the design, planning, and operation of the system before it is built. Unexpected behaviors may be identified in an early stage and can subsequently be avoided or mitigated. Finally, the privacy of personal data is protected through using a test case. Transportation simulation requires microscopic data (tracking each vehicle through a full day’s events), which raises grave privacy and ethical concerns if real data is used.

To address these needs, the proposed test case includes three structural descriptions: a transportation system topology, an electric power topology, and a charging system topology. Additional data includes transportation demand and charging demand. The test case consists of a number of desirable characteristics, including completeness, functional heterogeneity, moderate size, regular topology, regular demand data, realism, and objectivity. The figure below shows the three topologies; a fully detailed description test casenamed ‘Symmetrica’ is available in the paper.

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The transportation electrification test case can potentially be used for research within planning and operation management applications. A recent study (Al Junaibi et al. 2013) showed that the planning of the charging system as the couple of two infrastructure systems highly impacts the overall performance of the transportation electrification nexus. Matching the spatial layout of charging infrastructure to the demand for electrified transportation is key a infrastructure developent challenge. Furthermore, investment costs to upgrade power lines and transformers must be matched to the expected adoption of electric vehicles, providing an interesting starting point for return-on-investment and operations research methods. Using operation management applications such as charging station queue management or vehicle-2-grid stabilization could optimize the integration of electric vehicles within the nexus. Opportunities such as these present rich applications areas which have the potential to significant reduce the extra expenditure in infrastructure investments.

In depth materials on LIINES electrified transportation systems research can be found on the LIINES websitte.

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Prof. Amro M. Farid contributes to World Wind Energy Association Report

The World Wind Energy Association (WWEA) technical committee has recently published a report entitled “Wind Energy 2050: On the shape of near 100% RE grid”, which studies the challenges of wind energy integration into the power grid and discusses some of the solutions to address these challenges. Chapters 5 and 6 of this report are based upon the work of Dr. Amro M. Farid and discuss the evolution the power grid as it accommodates increasing capacities of wind energy.

Wind and solar energy have already become mainstream energy sources in some regions of the world. While the integration of wind energy has numerous benefits, it also creates new challenges for power system operations. Wind energy is inherently variable and, in order to successfully accommodate it, the power system has to undergo a dramatic change.   Furthermore, and in contrast to the traditional thermal generation units, wind energy sources are non-dispatchable in the traditional sense, meaning their outputs cannot be set to the desired value. As a result, the integration of wind energy requires new approaches to power grid planning and management, including investments into improved wind forecasting techniques and reconsidering operating reserve requirements.

A conventional power system consists of relatively few centralized and dispatchable generation units, and a large number of distributed and stochastic (but accurately forecastable) loads. The electricity is delivered from the centralized and predominantly thermal power plants to the distributed electrical loads. During many decades of operations, power system operators and utilities have developed improved methods for performing their tasks. Generation scheduling and dispatch, reserve management and control technologies have matured. Load forecasting accuracy has improved significantly, reducing forecast errors to as low as a few percent. Power system security and reliability standards have also evolved accordingly.

Six key drivers currently govern the evolution of the grid, namely environment protection, reliability concerns, renewable energy integration, transportation electrification, consumer participation and power market deregulation. This evolution will lead to a diversification of the power grid energy portfolio to include more solar, wind, energy storage and demand-side resources. Thus, the newly emerging operation procedures will not only engage with generators but also with consumers and other ancillary units. As a result, the already existing control technologies and procedures will expand significantly in both number and type.  This will challenge the basic assumptions of power system design and operations. Therefore, the question is not how to mitigate wind variability, but rather how the power grid should evolve to successfully accommodate a high penetration of wind energy.

Governed by these drivers, power system generation and consumption will evolve towards more equal roles in grid operations.  First, from the perspective of dispatchability, wind energy sources resemble traditional consumption in that they are non-dispatchable and forecasted. On the other hand, the introduction of demand response creates makes some portion of the energy consumption dispatchable much like traditional power generation facilities. These two trends change the balance of dispatchability and forecastability as shown in Table 1. Second, the integration of wind energy, like most renewable energy sources, changes the spatial distribution of the generation. Wind energy sources can vary from several kWs to hundreds of MWs.  While larger facilities will continue to be installed centrally into the transmission system, the smaller facilities will be installed at the power grid periphery as distributed generation.  (See Figure 2).  This creates the potential for upstream flow in the distribution system, which was not generally allowed before, and requires the redesign of the protection system accordingly.

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Table 1: Future grid generation and demand portfolio

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Figure 2: Graphic representation of the evolving power grid structure

While many power grid phenomena overlap, the literature has traditionally treated them strictly separately. The evolution of the power grid necessitates reconsidering the distinction between  timescales.   It also requires revisiting the distinction between the transmission and distribution systems. In advocating for power grid enterprise control, our work encourages holistic approaches that work across time scales as well as the fully supply chain of electricity including both the transmission as well as the distribution system.

This work also moves away from the traditional classification of technical and economic control objectives and utilizes the concept of integrated enterprise control as a strategy for enabling holistic techno-economic performance of wind integration. As shown in Figure 3, the power system is modeled as a cyber-physical system, where the physical integration of wind energy and demand-side resources must be assessed in the context of the control, automation, and information technologies. The horizontal axis represents the energy value chain from the generation to the consumption. Finally, the third axis classifies both the generation and the consumption into dispatchable as well as stochastic units. This graph represents the scope of the power system that must address a complex mix of technological, system and societal objectives.

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Figure 3: Electrical power grid as a cyber-physical system

This work also moves away from the traditional classification of technical and economic control objectives and utilizes the concept of integrated enterprise control as a strategy for enabling holistic techno-economic performance of wind integration. As shown in Figure 3, the power system is modeled as a cyber-physical system, where the physical integration of wind energy and demand-side resources must be assessed in the context of the control, automation, and information technologies. The horizontal axis represents the energy value chain from the generation to the consumption. Finally, the third axis classifies both the generation and the consumption into dispatchable as well as stochastic units. This graph represents the scope of the power system that must address a complex mix of technological, system and societal objectives.

In depth materials on LIINES smart power grid research can be found on the LIINES website.

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Prof. Amro M. Farid joins the University of Massachusetts Transportation Center as an affiliated Researcher

We are happy to announce that Prof. Amro M. Farid has joined the University of Massachusetts Transportation Center (UMTC) as an affiliated researcher.  The announcement can be found as a blog post here.  By entering the UMTC affiliated researcher network, the LIINES and UMTC will be able to more closely collaborate on interesting transportation research.  Naturally, some of these areas include transportation electrification, intelligent transportation systems, and connected & automated vehicles.
The University of Massachusetts Transportation Center (UMTC) is located at the University of Massachusetts – Amherst, 214 Marston Hall. The UMTC conducts research on all aspects of Transportation including Travel Behavior, Transportation Modeling, Sustainability, Freight, Transit, Intelligent Transportation Systems, Optimization, Transportation Finance and Policy, Emission Estimation and Modeling, Commercial Motor Vehicle research, Safety, Human Factors, GIS, Climate Change and Economic Development.
The UMTC is funded in part by the MassDOT, New England Transportation Consortium and National UTC Consortiums.
In depth materials on LIINES electrified transportation systems research can be found on the LIINES website.
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Journal Paper accepted at IEEE Transactions on Industrial Informatics – An Axiomatic Design of a Multi-Agent Reconfigurable Mechatronic System Architecture

The LIINES is pleased to announce the acceptance of the paper “An Axiomatic Design of a Multi-Agent Reconfigurable Mechatronic System Architecture” to the IEEE Transactions on Industrial Informatics. The paper is authored by Prof. Amro M. Farid and Prof. Luis Ribeiro.

Recent trends in manufacturing require production facilities to produce a wide variety of products with an increasingly shorter product lifecycle. These trends force production facilities to adjust and redesign production lines on a more regular basis.

Reconfigurable manufacturing systems are designed for rapid change in structure; in both hardware and software components to address the required changes in production capacity and functionality.

Qualitative methods have recently been successful in achieving reconfigurability through multi-agent systems (MAS). However, their implementation remains limited, as an unambiguous quantitative reference architecture for reconfigurability has not yet been developed.

A design methodology based on quantitative reconfigurability measurement would facilitate a logical, and seamless transition between the five stages of the MAS design methodology, as shown below.

DesMethodology

Previous work on the reconfigurability of automated manufacturing systems has shown that reconfigurability depends primarily on architectural decisions made in stages 1, 2, 3, and 5. Operational performance of the manufacturing system after the reconfiguration is also important, but is often overlooked by the existing literature. As a result, it’s not clear:

  1. The degree to which existing designs have achieved their intended level of reconfigurability.
  2. Which systems are quantitatively more reconfigurable.
  3. How these designs may overcome their inherent design limitations to achieve greater reconfigurability in subsequent design iterations.

In order to address the previously mentioned issues with existing design methodologies, this paper develops a multi-agent system reference architecture for reconfigurable manufacturing systems driven by a quantitative and formal design approach, directly in line with the above Figure.

The paper uses Axiomatic Design for Large Flexible Engineering Systems to support a well-conceptualized architecture, which is necessary for excellent production system performance. Additionally, Axiomatic Design highlights potential design flaws at an early conceptual stage. This results in the first formal and quantitative reference architecture based on rigorous mathematics.

About the Author

Wester C.H. Schoonenberg completed his B.Sc. in Systems Engineering and Policy Analysis Management at Delft University of Technology in 2014. After his bachelors’ degree, Wester started his graduate work for the LIINES at Masdar Institute, which he continues as a doctoral student at Thayer School of Engineering at Dartmouth College in 2015. Currently, Wester is working on the integrated operation of electrical grids and production systems with a special interest in Zero Carbon Emission Manufacturing Systems.

A full reference list of LIINES publications can be found here:
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Journal Paper Accepted at Journal of Enterprise Transformation – Axiomatic Design Based Human Resources Management for the Enterprise Transformation of the Abu Dhabi Healthcare Labor Pool

The LIINES is happy to announce the publication of the paper entitled: “Axiomatic Design Based Human Resources Management for the Enterprise Transformation of the Abu Dhabi Healthcare Labor Pool” to the Journal of Enterprise Transformation.  The paper is authored by Prof. Inas Khayal and Prof. Amro M. Farid.  To our knowledge, it’s the first regional-scale multi-decade Big Data Healthcare Human Resources Management Study ever conducted and shows the spatial-distribution of retention and attrition rates of the Abu Dhabi Healthcare System in recent decades.
The quality and reliability of a nation’s healthcare system is often driven by the number and diversity of its healthcare professionals. Unfortunately, many developing nations have constrained segments of highly skilled labor and must “import” this human capital. Volatility in key healthcare professions can threaten reliable and sustainable healthcare delivery.
This article considers the development of a healthcare human resources sector in a quickly developing nation as an enterprise transformation problem. In this article, the axiomatic design large flexible system modeling framework is used to assess healthcare delivery capability in Abu Dhabi, UAE.
The Abu Dhabi case study shows significant volatility in the healthcare labor market.
Specifically the evolution of healthcare professional attrition has been on the rise for the last 20 years.
Fig1
This has caused the net evolution of healthcare professionals to be quite variable.
 Fig2
The below figure shows the variation of profession types across the different areas with most of the fulfillment only in the cities (Abu Dhabi and Al Ain).
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The work demonstrates that the axiomatic design theory as applied to large flexible systems can be applied to data-centric methods in human resources management in the context of skills shortages and high attrition rates.
About the Author:
Inas Khayal is an Assistant Professor of Health Policy and Clinical Practice at The Dartmouth Institute within the Geisel School of Medicine at Dartmouth.  Her research interests focuses on on developing systems solutions that curb the growth of chronic disease by apply systems engineering tools and techniques to medicine.
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Journal Paper Accepted at Applied Energy Journal – Demand Side Management in a Day-Ahead Wholesale Market: A Comparison of Industrial & Social Welfare Approaches

The LIINES is pleased to announce the acceptance of the paper entitled: “Demand Side Management in a Day-Ahead Wholesale Market: A Comparison of Industrial & Social Welfare Approaches” to Applied Energy Journal for publication. The paper is authored by Bo Jiang, Prof. Amro M. Farid, and Prof. Kamal Youcef-Toumi.

The intermittent and unpredictable nature of renewable energy brings operational challenges to electrical grid reliability. The fast fluctuations in renewable energy generation require high ramping capability which must be met by dispatchable energy resources. In contrast, Demand Side management (DSM) with its ability to allow customers to adjust electricity consumption in response to market signals has been recognized as an efficient way to shape load profiles and mitigate the variable effects of renewable energy as well as to reduce system costs. However, the academic and industrial literature have taken divergent approaches to DSM implementation. While the popular approach among academia adopts a social welfare maximization formulation, defined as the net benefit from electricity consumption measured from zero, the industrial practice introduces an estimated baseline.   This baseline represents the counterfactual electricity consumption that would have occurred without DSM, and customers are compensated according to their load reduction from this predefined electricity consumption baseline.

DR

In response to the academic and industrial literature gap, our paper rigorously compares these two different approaches in a day-ahead wholesale market context. We developed models for the two methods using the same mathematical formalism and compared them analytically as well as in a test case using RTS-1996 reliability testing system. The comparison of the two models showed that a proper reconciliation of the two models might make them dispatch in fundamentally the same way, but only under very specific conditions that are rarely met in practice. While the social welfare model uses a stochastic net load composed of two terms, the industrial DSM model uses a stochastic net load composed of three terms including the additional baseline term. While very much discouraged, customers have an implicit incentive to surreptitiously inflate the administrative baseline in order to receive greater financial compensation. An artificially inflated baseline is shown to result in a higher resource dispatch and higher system costs.

The high resource scheduling due to inflated baseline likely require more control activity in subsequent layers of enterprise control including security constrained economic dispatch and regulation service layer. Future work will continue to explore the technical and economic effects of erroneous industrial baseline.

About the Author:

Bo Jiang conducted this research in collaboration with her Master’s thesis advisor Prof. Amro M. Farid and Prof. Kamal Youcef-Toumi at Massachusetts Institute of Technology. Her research interests include renewable energy integration, power system operations and optimization. Bo is now pursuing her PhD at MIT Mechanical Engineering Department.

A full reference list of Smart Power Grids and Intelligent Energy Systems research at LIINES can be found on the LIINES publication page: http://engineering.dartmouth.edu/liines

 

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Journal Paper Accepted at Springer’s Intelligent Industrial Systems Journal: Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

The LIINES is pleased to announce the acceptance of the paper: “Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems” in Springer’s Intelligent Industrial Systems Journal. The paper is authored by Amro M. Farid and was published online at May 28th 2015.

Recently, the vision of academia and industry has converged, defining future power system as intelligent, responsive, dynamic, adaptive, and flexible. This vision emphasizes the importance of resilience as a “smart grid” property. It’s implementation remains as a cyber-physical grand challenge.

Power grid resilience allows healthy regions to continue normal operation while disrupted or perturbed regions bring themselves back to normal operation. Previous literature has sought to achieve resilience with microgrids capable of islanded operation enabled by distributed renewable energy resources. These two factors require a holistic approach to managing a power system’s complex dynamics. In our recent work (e.g. link 1 and link 2), we have proposed as means of integrating a power system’s multiple layers of control into a single hierarchical control structure.

In addition to enterprise control, it is important to recognize that resilience requires controllers to be available even if parts of the power grid are disrupted. Therefore, distributed control systems, and more specifically Multi-Agent Systems have often been proposed as the key technology for implementing resilient control systems. Multi-agent systems are commonly used to distribute a specific decision-making algorithm such as those in market negotiation and stability control. However, very few have sought to apply multi-agent systems to achieve a resilient power system.

The purpose of the paper entitled “Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems” is two fold. First, it seeks to identify a set of Multi-Agent System design principles for resilient coordination and control. Second, the paper assesses the adherence of existing Multi-Agent System implementations in the literature with respect to those design principles.

The set of design principles is based on newly developed resilience measures for Large Flexible Engineering Systems. These measures use Axiomatic Design and are directly applicable to the power grid’s many types of functions and its changing structure. These design principles, when followed, guide the conception of a multi-agent system architecture to achieve greater resilience.

About the author: Wester C.H. Schoonenberg completed his B.Sc. in Systems Engineering and Policy Analysis Management at Delft University of Technology in 2014. After his bachelors’ degree, Wester started his graduate work for the LIINES at Masdar Institute, which he continues as a doctoral student at Thayer School of Engineering at Dartmouth College in 2015. Currently, Wester is working on the integrated operation of electrical grids and production systems with a special interest in Zero Carbon Emission Manufacturing Systems.

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Journal Paper Accepted at the Journal of Intelligent Manufacturing: Measures of reconfigurability and its key characteristics in intelligent manufacturing systems

The LIINES is pleased to announce that the Journal of Intelligent Manufacturing has accepted our paper entitled: “Measures of reconfigurability and its key characteristics in intelligent manufacturing systems”. The paper is authored by Amro M. Farid and was published in October 2014.

Many manufacturing challenges arise with the global trend of increased competition in the marketplace.  Production processes must deal with shorter product lifecycles and mass-customization. Consequently, production systems need to be quickly and incrementally adjusted to meet the ever-changing products. Reconfigurable manufacturing systems have been proposed as a solution that facilitates changing production processes for highly automated production facilities.

Much research has been done in the field of reconfigurable manufacturing systems. Topics include: modular machine tools and material handlers, distributed automation, artificially intelligent paradigms, and holonic manufacturing systems.  While these technological advances have demonstrated robust operation and been qualitatively successful in achieving reconfigurability, there has been comparatively little attention devoted to quantitative design methodologies of these reconfigurable manufacturing systems and their ultimate industrial adoption remains limited.

Measuring reconfigurability of manufacturing systems quantitatively has been a major challenge in the past, since a quantitative reconfigurability measurement process was non-existent. Earlier work developed a measurement method that extracts measurables from the production shop floor. When this was established, basic measures of reconfiguration potential and reconfiguration ease were developed, based on axiomatic design for large flexible engineering systems and the design structure matrix respectively.

Reconfiguration of a production process can be split up in four steps: Decide which configuration, Decouple, Reorganize, and Recouple. The larger the number of elements in the system, the more configurations are made possible. This is measured using the reconfiguration potential measure, based on axiomatic design for large flexible engineering systems.

Production processes contain multiple interfaces within themselves. Multiple layers of control can be distinguished, that have to work together to coordinate the physical components. These interfaces are the main determinants for the reconfiguration ease measure.

This paper combines these techniques to define a quantitative measure for reconfigurability and its key characteristics of integrability, convertibility and customization.    The intention behind this research contribution is that it may be integrated in the future into quantitative design methodologies for reconfigurable manufacturing systems, which may be easily adopted by industrial automation and production companies.

About the author: Wester Schoonenberg completed his B.Sc. in Systems Engineering and Policy Analysis Management at Delft University of Technology in 2014. After his bachelors’ degree, Wester started his M.Sc. at Masdar Institute of Science & Technology. Currently, Wester is working on the integrated operation of electrical grids and production systems with a special interest in the demand side management of industrial facilities.

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LIINES Website: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at IEEE Transactions on Industrial Electronics: An Enterprise Control Assessment Method for Variable Energy Resource Induced Power System Imbalances. Part 2: : Parametric Sensitivity Analysis

We are happy to announce that our recent paper entitled: “An Enterprise Control Assessment Method for Variable Energy Resource Induced Power System Imbalances. Part 2: Parametric Sensitivity Analysis”, has been accepted to IEEE Transaction on Industrial Electronics. The paper is authored by Aramazd Muzhikyan, Prof. Amro M. Farid and Prof. Youcef Kamal-Toumi.

The variable and uncertain nature of the variable energy resources (VER) introduces new challenges to the balancing operations, contributing to the power system imbalances. To assess the impact of VER integration on power system operations, similar statistical methods have been used by renewable energy integration studies. The calculations are based on either the net load variability or the forecast error, and use the experience of power system operations. However, variability and forecast error are two distinguishing factors of VER and both should be taken into consideration when making assessments.

This paper uses the methodology from the prequel to systematically study the VER impact on power system load following, ramping and regulation reserve requirements. While often ignored, the available ramping reserve reflects the generation flexibility and is particularly important in the presence of VER variability. This provides a detailed insight into the mechanisms by which the need for additional reserves emerges. The concept of enterprise control allows studying the impact of power system temporal parameters as well as net load variability and forecast error holistically.

The application of an enterprise control assessment framework allows the empirical identification of the most influential parameters different types of resource requirements. The inclusion of the power system temporal parameters, such as day-ahead market (SCUC) and real-time market (SCED) time steps, is a particularly distinguishing feature of the work. Use of the case-independent methodology allows generalization of the results and prediction of how the system resource requirements change when one of the parameters varies. Moreover, the results reveal the degree of importance of each lever for the power system reliable operations which is crucial for the strategic planning of the grid modernization.

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Prof. Amro M. Farid gives invited lecture at MIT Transportation Seminar Series

On December 5, 2014, Prof. Amro M. Farid gave an invited lecture at the MIT Transportation Seminar Series (Cambridge, MA, USA).   The presentation entitled:  “Intelligent Transportation-Energy Systems for Future Large Scale Deployment of Electrified Transportation” featured the LIINES’ latest research in transportation electrification.

The presentation advocates an integrated approach to transportation and energy management.  At its core, the intelligent transportation energy system (ITES) requires a new transportation electrification assessment methodology that draws upon microscopic traffic simulation, power grid dynamics, and Big Data-Driven use case modeling. Such an ITES would come to include coupled operations management decisions including: vehicle dispatching, vehicle routing, charging queue management, coordinated charging, and vehicle-to-grid ancillary services.  The presentation also featured the results from the first full scale electric vehicle integration study which was recently conducted for a taxi-fleet use case in Abu Dhabi.   The study suggests a close collaboration between the Abu Dhabi Department of Transportation and the Abu Dhabi Water and Electricity Authority in future large scale deployments of electrified transportation.

The presentation draws heavily from several LIINES publications including the UAE State of Energy Report, the UAE State of the Green Economy Report, the first hybrid dynamic model for transportation electrification.  The results of this first full-scale study were first presented publicly at the 2nd IEEE International Conference on Connected Vehicles & Expo held December 2-6, 2013 in Las Vegas, NV, USA, and the Gulf Traffic Conference held December 9-10 2013 in Dubai, UAE.  These presentations demonstrated a successful collaborative project between Masdar Institute, the Abu Dhabi Department of Transportation, and Mitsubishi Heavy Industries.

In depth materials on LIINES research on transportation electrification can be found on the LIINES publication page:  http://amfarid.scripts.mit.edu

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