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The LIINES Commitment to Open-Information
- Sharing all input datasets used to conduct the research for which no prior proprietary or security commitments have been made.
- Producing scientific publications in such a way that scientific peers can accurately verify & validate the work.
- Making the content of all conference, journal and book-chapter publications freely available in author preprint form. (Note: Most publishers allow self-archiving and open-distribution of author preprints).
LIINES Website: http://engineering.dartmouth.edu/liines
Energy-Water-Food Nexus Research Integral to the IEEE Smart Cities Conference
- The presentation entitled “Extending the Energy-Water Nexus Reference Architecture to the Sustainable Development of Agriculture, Industry & Commerce.” provided a high level overview of the types of couplings that exist not just within the energy and water infrastructure but also within end-uses in the agricultural, industrial, commercial, and residential sectors. Water and energy balance principles were used to systematically highlight the existence of trade-off decisions with the energy-water nexus.
- The presentation entitled “Extending the Utility Analysis and Integration Model at the Energy Water Nexus” featured LIINES research done in collaboration with the Water Environment Foundation (WEF). This work argued the need for integrated enterprise management systems within the water utility sector to support sustainable decision-making.
- The presentation entitled “The Role of Resource Efficient Decentralized Wastewater Treatment in Smart Cities” featured LIINES research done in collaboration with the German startup Ecoglobe. This work argued the need for resource-efficient decentralized wastewater treatment facilities as a key enabling technology in the energy-water-food nexus. It then presented Ecoglobe’s WaterbaseTM as such a technology.
A full reference list of energy-water nexus research at the LIINES can be found on the LIINES publication page: http://engineering.dartmouth.edu/liines
LIINES Website: http://engineering.dartmouth.edu/liines
IEEE Smart Cities Conference Establishes Itself as Premier Conference
LIINES Website: http://engineering.dartmouth.edu/liines
Searching for Smart City LIINES
- Smart Grids
- Internet of Things (IoT)
- Smart Homes & Buildings
- Smart Transport
- Smart Environment,
- Smart Manufacturing & Logistics
- Open Data
- Smart Health
- Smart Citizens
LIINES Website: http://engineering.dartmouth.edu/liines
The All-New Dartmouth LIINES Website
LIINES Website: http://engineering.dartmouth.edu/liines
The LIINES seeks Quantitatively-Minded Dartmouth Undergrad for Smart Grid Research Competition
Interested students may contact Prof. Amro M. Farid for further information and an interview.
LIINES Website: http://amfarid.scripts.mit.edu
The LIINES is moving to Dartmouth
- commits to three research areas; two of which include complex systems and energy.
- organizes itself as a single school of engineering rather than departments; thus enabling research and teaching in engineering systems.
- maintains a strong commitment to teaching; ranking first nationally for five out of the last 6 years.
- maintains a healthy relationship with the social sciences within the larger liberal arts university; thus situating today’s engineering systems challenges within their social context
- emphasizes the role of entrepreneurial innovation in engineering; truly embracing the “empowering your network” ethos.
LIINES Website: http://amfarid.scripts.mit.edu
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.
LIINES Website: http://engineering.dartmouth.edu/liines
Duke Energy on Analytics and the Internet of Things
It’s been a long time since 2003 when the concept of the Internet of Things was first proposed by U. of Cambridge Auto-ID Laboratory. At the time, Dr. Amro M. Farid, now head of the Laboratory for Intelligent Integrated Networks of Engineering Systems, was a doctoral student investigating how RFID technology enabled intelligent products within reconfigurable manufacturing systems. The Internet of Things was being applied primarily in the manufacturing and supply chain domain.
Since then, the Internet of Things concept has taken hold not just in manufacturing systems and supply chains but nearly every industrial system domain including energy. Every “thing” or “device” has the potential to be connected via an intelligent sensor so as to make decisions — be they centralized within an operations control center — or distributed amongst artificially intelligent multi-agent systems. The Internet of Things concept has the potential to fundamentally transform industrial systems.
Have a look at Duke Energy’s take on the Internet of Things:
The LIINES is proud to have been working in this area since its inception and continue to do so. More information on our research can be found on the LIINES website.
LIINES Website: http://amfarid.scripts.mit.edu
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
LIINES Website: http://amfarid.scripts.mit.edu