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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
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LIINES Website: http://engineering.dartmouth.edu/liines
The All-New Dartmouth LIINES Website
LIINES Website: http://engineering.dartmouth.edu/liines
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
Journal Paper Accepted at ISA Transaction: Event Triggered State Estimation Techniques for Power Systems with Integrated Variable Energy Resources
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
Journal Paper Accepted at Applied Energy Journal: Quantitative engineering systems modeling and analysis of the energy-water nexus
The LIINES is happy to announce that Applied Energy Journal has accepted our recent paper entitled: “Quantitative engineering systems modeling and analysis of the energy–water nexus” for publication. The paper is authored by William N. Lubega and Prof. Amro M. Farid.
Electric power is required to extract, condition, convey, dispose of and recycle water for human use. At the same time, the bulk of global electricity generation capacity uses water as a heat sink or prime mover. This energy-water nexus is of growing importance due to increased demand for water and electricity; distortion of the temporal and spatial availability of fresh water due to climate change; as well as various drivers of more energy-intense water supply for example increased wastewater treatment requirements, and more water-intense electricity generation for example emissions control technologies at power plants.
There are several notable published studies on this nexus. At a technology level, there have been attempts to optimize coupling points between the electricity and water systems to reduce the water-intensity of technologies in the former and the energy-intensity of technologies in the latter. Empirical determinations of the electricity-intensity of water technologies and the water-intensity of electricity technologies have been reported and analyzed. Various models that enable the exploration of the water resource implications of defined electricity sector development pathways and thus support the analysis of various water and electricity policies have also been developed. To our knowledge however, a transparent physics-based approach that interfaces a model of the electricity system to models of the municipal water and wastewater systems enabling an input-output analysis of these three systems in unison has not been presented. Such a modeling approach would support integrated control applications as well as integrated planning without a priori specification of development pathways, for example through optimization.
A paper recently published by the LIINES in Applied Energy titled “Quantitative engineering systems modeling and analysis of the energy–water nexus” presents such a systems-of-system model. In this work, bond graphs are used to develop models that characterize the salient transmissions of matter and energy in and between the electricity, water and wastewater systems as identified in the reference architecture. Bond graphs, which are graphical representations of physical dynamic systems, were chosen as the modeling tool as they facilitate the inter-energy-domain modeling necessitated by the heterogeneous nature of the energy-water nexus. Furthermore they clearly identify causality and readily allow for model enhancement as required by applications. The developed models, when combined, make it possible to relate a region’s energy and municipal water consumption to the required water withdrawals in an input-output model. This paper builds on another LIINES publication entitled “A Reference Architecture for the Energy-Water Nexus” found in the IEEE Systems Journal.
This research is of particular significance to countries in the Gulf Cooperation Council, all of which have limited fresh water resources and thus depend on energy-expensive desalination to meet a large portion of their water needs. This dependence enhances the degree of coupling between the electricity and water systems and thus the associated vulnerability concerns. Furthermore, motivated by the cogeneration of electric power and desalinated water, combined electricity and water authorities have been established in the region. The multi-energy domain model developed in this work is therefore of immediate relevance to the planning and control efforts of these existing institutions.
About the Author:
William N. Lubega conducted this research in collaboration with his Master’s thesis advisor Prof. Amro M. Farid in LIINES at the Masdar Institute of Science & Technology Engineering Systems & Management Department. William is now a doctoral research assistant at the University of Illinois Urbana-Champaign Civil & Environmental Engineering department as part of the Energy-Water-Environment Sustainability Track. There, he continues his energy-water nexus research in the Stillwell Research Group.
A full reference list of energy-water nexus research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu
LIINES Website: http://amfarid.scripts.mit.edu
Hybrid Dynamic Model for Transportation Electrification Published at the 2014 American Control Conference
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