You are invited to join us for a public presentation in webinar format entitled “Science Communication With Digital Tools: A Story Map for Stormwise Forest Management” where NRE MS candidate Kerste Milik will present the work she has conducted developing an interactive StoryMap for the UConn Stormwise program. She will discuss the StoryMap product itself as well as her experience in developing it and linking the process to her MS program, which has focused strongly on science communication.
The webinar will be next Wednesday 12/9 at 1 pm and should run 30-45 minutes depending on how many questions you ask her.
The WebEx link for joining the session is here:
These maps are adopted by International Disaster Charters/United Nations accessible at https://disasterscharter.org/web/guest/activations/-/article/flood-large-in-mexico-activation-683-
Title: Assistant/Associate/Full Professor – Nicholas E. Madonna Professorship in Electrical and Computer Engineering
Department: Electrical and Computer Engineering
Campus/Location: Storrs Campus
Subject Area: Power Systems Engineering
The Electrical and Computer Engineering (ECE) Department and Eversource Energy Center (EEC) at the University of Connecticut (UConn) solicit applications for the Nicholas E. Madonna Endowed Professorship, a tenure-track faculty position at the associate or full professor level. Strong applicants at the assistant professor level will also be considered. The position has an expected start date of August 23, 2021. The successful candidate will advance education and research in the Electrical and Computer Engineering Department with a particular emphasis in power systems engineering or related specialties and lead EEC’s research programs in the area of grid modernization.
In addition, candidates whose scholarship and background is well-aligned with entrepreneurship, commercialization, and economic development are particularly encouraged to apply for additional tenure track positions at all ranks. Such candidates, in addition to excellence in their field of expertise, must demonstrate a successful track record as a serial entrepreneur or technology innovator.
Founded in 1881, the UConn is a Land Grant and Sea Grant institution and member of the Space Grant Consortium. It is the state’s flagship institution of higher education and includes a main campus in Storrs, CT, four regional campuses throughout the state, and 13 Schools and Colleges, including a Law School in Hartford, and Medical and Dental Schools at the UConn Health campus in Farmington. The University has approximately 10,000 faculty and staff and 32,000 students, including nearly 24,000 undergraduates and over 8,000 graduate and professional students. UConn is a Carnegie Foundation R1 (highest research activity) institution, among the top 25 public universities in the nation. Through research, teaching, service, and outreach, UConn embraces diversity and cultivates leadership, integrity, and engaged citizenship in its students, faculty, staff, and alumni. UConn promotes the health and well-being of citizens by enhancing the social, economic, cultural, and natural environments of the state and beyond. The University serves as a beacon of academic and research excellence as well as a center for innovation and social service to communities. UConn is a leader in many scholarly, research, and innovation areas. Today, the path forward includes exciting opportunities and notable challenges. Record numbers of undergraduate applications and support for student success have enabled the University to become extraordinarily selective.
The ECE Department (http://www.ee.uconn.edu) is ABET accredited and ranks in the top 50 nationally according to the latest NRC rankings]. The EEC has an endowment that exceeds $10M with state-of-the-art facilities including a high-end grid simulator and is investing in research programs indistributed energy resources in the power grid and grid modernization methods.
The successful candidate will be expected to develop and sustain an internationally-recognized and externally-funded research program in power systems engineering. The position offers the successful candidate, at the associate or full professor level, the Nicholas E. Madonna Endowed Professorship. The individual appointed to the Professorship will be a nationally or internationally recognized researcher, scholar, and teacher, and will have made significant contributions to power systems engineering.
The successful candidate must also share a deep commitment to effective instruction at the undergraduate and graduate levels, development of innovative courses and mentoring of students in research, outreach, and professional development.
It is the expectation that the candidate will enhance inclusion and broaden participation among members of under-represented groups; as demonstrated through their research, teaching, and/or public engagement, strengthen the richness of diversity in the learning experience; integrate multicultural experiences into instructional methods and research tools; and provide leadership in developing pedagogical techniques designed to meet the needs of diverse learning styles and intellectual interests.
The successful candidate will:
This is a 9-month tenure-track position with an expected start date of August 23, 2021. The successful candidate’s primary academic appointment will be at the Storrs campus with the possibility of work at UConn’s regional campuses across the state. Salary and rank will be commensurate with qualifications.
Select “Apply Now” to be redirected to Academic Jobs Online to complete your application. Please submit the following and include your last name as well as search #2020009 in the document title for each document submitted:
Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search 2020199)
This position will be filled subject to budgetary approval.
All employees are subject to adherence to the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp.
Direct inquiries to Mary P. McCarthy (firstname.lastname@example.org)
The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty, and staff. The diversity of students, faculty, and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural, and diverse community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities, and members of traditionally underrepresented populations.
Aug. 14, 2020
STORRS, Conn. – Gypsy moth infestations and drought conditions in recent years have weakened trees throughout Connecticut to such an extent that forests were particularly vulnerable when the remnants of Hurricane Isaias swept through on Aug. 4, causing extensive power outages related to tree damage.
Those factors, along with the capricious storm’s unusual timing and localized pockets of extreme
The center, based in UConn’s Innovation Partnership Building, is a research lab that develops storm damage modeling technology and forecasting to help Eversource – New England’s largest energy delivery company – plan for reliable service throughout Connecticut and New England.
Hurricane Isaias had weakened to a tropical storm by the time it reached
The EEC issued five predictions to Eversource between Aug. 1 and Aug. 4 for the utility company’s territory, and also shared four with United Illuminating, the state’s other large electric supplier. In almost every case, each report predicted significantly increasing storm severity, with the last predictions – released on the morning of Aug. 4, a few hours before the storm – indicating an extreme impact, in the range of 3,000 to 6,000 damage locations for Eversource service territory and 400 to 800 for United Illuminating.
Even given those increasingly ominous indicators, the storm’s damage exceeded the Outage Prediction Model (OPM) as strong winds blew through the state and non-meteorological factors – including the weakened and insect-damaged trees – became an unexpected part of the equation.
An extreme drought affected the region in 2016, and unusually dry conditions persist in much of the state. That had degraded the ability of many trees’ root systems to withstand sustained wind levels of a major weather event, particularly in northern areas of Connecticut. Also, tree canopy
The UConn Outage Prediction Model (OPM) is a well-established, state-of-the-art model
international journals, demonstrating its accuracy in predicting power outages for a host of weather events, including thunderstorms, hurricanes, nor’easters, and snow and ice storms.
Isaias’ unique characteristics affected the OPM modeling outcome in several ways, most particularly because the storm was disintegrating as it passed over the State of Connecticut, causing higher sustained winds and microbursts in localized circulations across a widespread
area. In these localized pockets, sustained winds reached the level experienced in both Hurricanes Sandy (October 2012) and Irene (late August 2011).
At the same time, data included in the model for similar magnitude storms such as Sandy and Irene reflected significant meteorological differences between those storms and Isaias: Sandy occurred later in the year when leaf area was lower, and Irene involved greater precipitation levels.
In mid-summer, Connecticut’s forests have the highest leaf area for high winds to impact, causing more tree and branch movement than when leaf area is lower. With drought conditions weakening the strength of root systems to an unprecedented extent, the combination of these factors caused an extreme impact.
Moreover, the National Weather Service confirmed that a tornado, characterized by a maximum wind speed of 95 to 105 mph, occurred in Westport, where power outages were extensive. Other small tornadoes and microbursts are suspected to have taken place in some locations, further indicating localized pockets of extreme winds.
“When we issued the first prediction on Aug. 1, the hurricane was still located in the Bahamas and there was a significant uncertainty on the track,” said Emmanouil Anagnostou, EEC’s Director, and a UConn professor in the Department of Civil and Environmental Engineering.
“But at the time of the fifth and final prediction, during the morning of Aug. 4, a few hours before the storm, we were certain that the storm would produce an extreme impact in Connecticut, although not as severe as what was actually predicted due to the novel characteristics of Storm Isaias,” added Diego Cerrai, EEC’s manager and an assistant professor in the Department of Civil and Environmental Engineering.
Going forward, the EEC plans to incorporate more data on vegetation science and drought conditions in its modeling, helping to better predict future warm-season extreme storm impacts.
EEC researchers also say another key observation from tropical storm Isaias and its aftermath is the recognition that vegetation management should be implemented more widely, perhaps including more attention to large trees that have been outside of historical trimming zones. The EEC’s faculty members who specialize in natural resources will be analyzing data from the Center’s Stormwise forest management sites and remote sensing data from NASA to investigate tree damages as it continues reviewing the incident.
This year’s hurricane season is expected to be active, and lessons learned from predictions of tropical storm Isaias will be part of the EEC’s data it uses as it continues monitoring for ways in which future weather events could impact the power grid.
The University of Connecticut Outage Prediction Model (OPM) Post-Storm Report for Tropical Storm Isaias can be viewed here:
Dr. Cory Merow is an assistant research professor in UConn’s Ecology and Evolutionary Biology Department and researcher for Eversource Energy Center. He was interviewed by both the New York Times and Scientific American for insight into climate change and its ecological impact.
The New York Times article can be read here: https://www.nytimes.com/2020/04/15/climate/wildlife-population-collapse-climate-change.html
The Scientific American Article can be read here: https://www.scientificamerican.com/article/rising-temperatures-may-push-ecosystems-past-their-limits/
For more information on Dr. Cory Merow, his website is https://cmerow.github.io/
For more articles on the ecological impact of climate change, please see this site https://www.altmetric.com/details/79339301/news
Eversource Energy Center is pleased to announce the recent hire of Ha Thi Ngyuen, Ph.D., as an Assistant Research Professor to aid in our power engineering research. Dr. Nguyen will lead the Center’s newly acquired RTDS power grid test bed, and will support research projects related to integration of renewables in the power grid, cybersecurity and power grid resilience. Dr. Nguyen will also develop a training program for utility engineers on the use of the RTDS test bed, and you will contribute to the grid modernization certificate program offered by the Center.
Dr. Nguyen received her Ph.D. from the Center for Electric Power and Energy at the Technical University of Denmark (DTU) in 2018. She has worked with the Center Energy Research at University of California, San Diego and for Electric Power and Energy at DTU. Her research interests are power system modelling, operation and control, geographically distributed real-time co-simulation, hardware-in-the-loop simulation, frequency stability and control, and renewable energy integration.
Eversource Energy Center Associate Director Robert Fahey has been named the early career recipient for Excellence in Research & Creativity Award. Each year the University of Connecticut works with AAUP, a faculty-based union, to recognize UConn faculty who have gone above and beyond in teaching.
Congratulations to Professor Robert Fahey on behalf of the EEC!
Dr. Ha Nguyen will be giving a talk titled “Challenges and research opportunities of real-time simulation in modern power systems.”
Real-time simulation application is well recognized as an effective approach for modeling, developing and testing components in power systems with high accuracy, low cost and more flexibility before field deployment. This talk first presents some experience in real-time simulation of large-scale power systems with different power electronic components and hardware-in-the-loop simulation for testing devices. Then, the challenges of real-time simulation in renewable-based grids are analyzed. The talk will conclude with research opportunities for real-time simulation in renewable-based systems, which require more research for modern power systems.
Link for UConn Event: https://events.uconn.edu/event/75896/2020-03-13
Eversource Energy Center’s 2019 Annual Report has been published and can be viewed or downloaded as a PDF here.
The Annual Report contains information on research, publications, and finances of the Eversource Energy Center.