UConn and Eversource are pleased to announce that the Clean Energy Sustainability Innovation Program is being offered again for Spring 2025.
We welcome any and all students across the university to pitch their “grant ideas” to explore local sustainability challenges that matter to them.
Through this summer program, students will get to workshop their ideas in both an academic and industry setting and develop the skills to apply critical thinking to their clean energy sustainability ideas. Teams will present their projects at a university-wide Sustainable Clean Energy Summit on October 27th, 2025, and be eligible to receive additional funding and support to extend their research and development throughout the 2025-2026 academic year.
Why Join this program?
- Develop your interpersonal communication and critical-thinking skills
- Receive a summer stipend to work with UConn faculty and Eversource managers to get your team’s idea in development
- Learn about the ins and outs of research development and problem-solving
- Access opportunities for research and internship with Eversource
- Contribute to the decarbonizing efforts of UConn and long-term sustainability goals of Connecticut towns and municipalities.
About The Challenge
Connecticut has committed to getting all its energy from zero carbon sources by 2040 and reducing statewide emissions by 45% by 2030 and 80% by 2050. At the same time, the state has an ambitious Economic Development Plan to attract and retain a growing population, while supporting and generating inclusive economic opportunity within innovative and specialized industries. Both goals require a modernized electric power grid to integrate new renewable energy sources, meet the increasing electric demand and maintain reliability in the face of climate change.
For this challenge, we ask students to either propose a campus-focused initiative (at any of the UConn campuses) or select a Connecticut municipality within which to focus their efforts. If a student-team chooses to focus on a UConn campus-based project, they will be asked to meet with Stan Nolan, Interim AVP of Facilities Operations, to understand the current energy demands and plans for UConn campuses. Those focusing on a municipality will need to review the town’s current environmental plans, meet with town managers, and discuss their current energy demands and solutions, and anticipated growth for their municipality.
After assessment, students will meet with their Eversource and UConn mentors to highlight their challenges and brainstorm solutions to the future energy demands. The student teams will then update the UConn campus or municipality’s energy/environmental plans to reflect their new ideas with proposed timelines that correspond with the state’s goals of 2030, 2040, and 2050.
Areas of focus can include legislative and policy updates, economic modeling and analysis of costs to decarbonization or proposed clean energy solutions, rate of growth of renewables and electric load and impact to the transmission and/or distribution electrical grid, integration of new energy/grid modernization technologies to meet anticipated load growth, other approaches to reduce emissions, enhance energy efficiency, affordability, etc.
Students are encouraged to work in interdisciplinary teams along with town managers, planning & zoning, local civic organizations, Eversource, and UConn’s Connecticut Institute for Resilience & Climate Adaptation (CIRCA). UConn and Eversource can assist teams in connecting with local decision makers.
Project Application – Guidelines & Requirements
Interested students must submit a project application to Francesco Rouhana (francesco.rouhana@uconn.edu) by May 16, 2025, which includes the following:
- One application form per team that lists the names, majors, programs and expected graduation dates of each team member, as well as personal statement from each team member that includes their activities on campus and their motivation for applying (how this program can support their study and/or career);
- A one-page scope of work outlining the proposed location, town or city for study;
- A list of deliverables (building dataset, generating maps, etc.,) the team plans to produce during the program; and
- An approximate inventory of data available as well as datasets they would need to acquire from UConn, localities or Eversource.
We highly encourage using data from Sustainable CT to supplement any data you may be missing. By completing this process with the town or city of the student team's choice, both parties have a clear understanding of what is expected from each other during the program for successful project completion.
For graduate student submissions, please also consider how this project can be scaled up to include multiple towns, or even the entire State of Connecticut.
Team Requirements: Teams must be two or three students (undergraduate and/or graduate) from a minimum of two different disciplines.
Program Timeline
- Teams will need to submit proposals by May 16, 2025.
- Teams will be selected by Eversource and UConn committee by May 30, 2025.
- Students of the selected teams will receive a fellowship ($2,500 lump sum) to work on their “grant idea” in the period of June 01 – August 22, 2025.
- Teams will be supported by two mentors: a UConn faculty and Eversource staff.
- Team members will have the opportunity to spend time at Eversource during the summer.
- Each team is expected to present their “grant idea” and summer work at the 2025 Sustainable Clean Energy summit on October 27, 2025.
- The winning team(s) to be selected at the 2025 summit will receive a continuation grant to further develop their “grant idea” throughout the academic year in close collaboration with an Eversource department.
Mentor Selection
- Students may suggest their UConn faculty mentor or allow the committee to assign their team to a respective UConn faculty.
- The committee will match the student projects with select Eversource personnel and departments after their selection.
2024 Finalists
Project | Student Name | UConn Mentor | Eversource Mentor |
Potential Micro-Hydropower Retrofits at Municipal Wastewater Treatment Plants
The research team will be looking at local wastewater treatment plants to find locations for potential hydropower generation. They will prepare estimates for costs for a micro-hydropower turbine and potential energy generation. They will also review the permitting needs and other potential impacts on the system or water. The team will propose retrofit locations for proof-of-concept installation projects to show micro-hydropower is viable as a clean energy supply. |
Zhiqing Li, Ph.D. Student, Structural Engineering
Steven Matile, Master’s Student, Public Administration Meshach Ojo, Ph.D. Student, Structural Engineering |
Diego Cerrai, Ph.D.
Assistant Professor, Civil and Environmental Engineering Associate Director and Program Manager, Eversource Energy Center |
Nick Pellon
Senior Engineer, Transmission Interconnections Specialist, Community Relations |
The Energy Justice Mapping Tool
The Energy Justice Mapping Tool is an innovative initiative designed to address energy inequities and promote sustainable energy solutions in Connecticut. By integrating data on energy access, affordability, socioeconomic factors, and renewable energy potential, this powerful tool empowers communities to visualize and analyze energy-related challenges through an interactive mapping interface. The project aims to identify areas facing energy injustice, to help prioritize targeted interventions, and facilitate the deployment of renewable energy resources. This groundbreaking tool will equip policymakers, community organizations, and industry stakeholders with data-driven insights and collaborative strategies to drive energy equity, foster renewable energy adoption, and shape a more sustainable and just energy future for all. |
Umar Salman, Ph.D. Student, Electrical Engineering
Binit Gautam, Ph.D. Student, Civil Engineering Charitarth Chugh, Undergraduate Student, Mathematics and Statistics |
Zongjie Wang, Ph.D.
Assistant Professor, Electrical and Computer Engineering Associate Director, Eversource Energy Center |
Lissette Andino
Director, Equity and Environmental Justice |
A Probabilistic Real-Time Controller for Restoration Control Actions During Hurricane Disasters with High Penetration of Renewable Energy
This project aims to develop a robust real-time controller capable of deploying restoration control actions to enhance resiliency in power distribution systems with high penetration of renewable energy, particularly during hurricanes. By leveraging learned-based probabilistic prediction models (PPM) using Bayesian Neural Networks, the project will predict outages, solar panel damage, and irradiance, addressing the lack of historical data through physics-based models. It will also utilize a Deep Reinforcement Learning environment to optimize the control of distributed energy resources and utility devices, enhancing grid resilience toward hurricanes. The project’s framework can be scaled to community and state levels, supporting decision-making in power dispatch and clean energy transitions, aligning with the Clean Energy and Sustainability Program’s decarbonization goals. |
Soroush Vahedi, Ph.D. Candidate, Electrical Engineering
Alaa Selim, Ph.D. Candidate, Electrical Engineering Morteza Azizi, Ph.D. Candidate, Environmental Engineering |
Junbo Zhao, Ph.D.
Assistant Professor, Electrical and Computer Engineering Associate Director, Eversource Energy Center |
Xiaodong Liu
Manager, System Planning, Transmission Reliability |
Leading Connecticut Towards a Sustainable Future: Innovative Energy Demand Prediction and Resilience Planning
Our proposal aims to tackle the challenges and embrace the opportunities of the renewable energy era head-on. At the heart of our initiative lies the development of an innovative energy demand prediction model, set to transform how we envision and manage energy consumption in Connecticut. Our model incorporates cutting-edge technological trends such as solar photovoltaics (PVs) and electric vehicles (EVs) while addressing climate change impacts. Additionally, our model integrates a novel architecture aimed at surpassing traditional demand forecasting methods. We will develop optimal strategies for Connecticut to enhance resilience to demand and climate shocks, reduce system costs, and achieve greenhouse emission targets. |
Jiwon Kim, Undergraduate Student, Computer Science
Buket Sahin, Ph.D. Student, Environmental Engineering |
Dave Wanik, Ph.D.
Assistant Professor in-Residence, Operations and Information Management |
Steffen Ziegler
Lead Engineer, Distribution Planning |
Integrating Green Hydrogen Production and Transport within a Natural Gas Infrastructure on the Path to Carbon Neutrality
Recent advances permit high efficiencies for the generation of hydrogen using electrolytic cells, and a particular method is expected to enable an economically viable conversion of electrical energy (from renewables like solar) to chemical energy (as stored in diatomic hydrogen), such that solar energy can be injected into the state’s energy grid with minimal losses. The project is multifaceted and includes a focus on both energy production and energy consumption; the latter involves understanding when it ceases to be financially beneficial to consume a hydrogen/natural gas fuel mixture using the current generators. Finally, the project involves simulating a novel hydrogen fuel cell generator setup with waste heat capture systems. |
Ava Tobón, Undergraduate Student, Chemical Engineering
Alana Marquis, Undergraduate Student, Civil Engineering |
Stoyan Bliznakov, Ph.D.
Associate Research Professor, Chemical and Biomolecular Engineering Associate Director for Research Infrastructure, Center for Clean Energy Engineering |
Patrick Quinn
Director, Fleet Operations |
2023 Finalists
Project | Student Name | UConn Mentor | Eversource Mentor |
Enhancing Connecticut’s Green Economy: Optimal Integration of Short-Term Hybrid Solar and Hydropower; Long-Term Implementation of Nuclear Power
“Our project proposes a comprehensive two-part strategy for New England's power grids, specifically focusing on the University of Connecticut, to address their heavy reliance on natural gas combustion. The strategy implements solar PV-thermal hybrid systems and hydroelectric energy to increase power production in the short run, while facilitating a long term transition to nuclear energy. The expected outcome is to diversify UConn’s energy sources through equitable and sustainable financing models.” |
Austin Gelinas ’25 (ENG), chemical engineering major | Matthew Stuber, Ph.D.
Assistant Professor, Chemical and Biomolecular Engineering |
Carissa Sedlacek
Director of Transmission Interconnections and Solutions |
Pranavi Rebala '25 (CLAS), economics and urban and community studies major | |||
Clean Energy Innovations: Revolutionizing UConn's Power Infrastructure
“Our research proposal aims to tackle UConn campuses' clean energy sustainability issue. We plan to retire the current natural gas-based Co-Generation Facility, reduce carbon emissions, and find a comprehensive energy solution for the campus. Our proposed solutions include comparing greenhouse gas emissions between the UConn microgrid and the Eversource grid, implementing load-shaping and demand management techniques, and exploring the use of energy storage solutions.” |
Malachi Denton ’24 (ENG), environmental engineering major | Diego Cerrai, Ph.D.
Assistant Professor in Civil and Environmental Engineering, Associate Director and Manager at Eversource Energy Center |
Benjamin D'Antonio
Manager of Transmission Strategy and Economic Analysis |
Malik Francis ’24 (ENG), computer engineering major | |||
Kevon Rattigan ’25 (CLAS), chemistry major | Marina Astitha, Ph.D.
Associate Professor, Civil and Environmental Engineering |
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Addressing UConn’s growing energy demand: Alternative Organic Fuel Sources and Sustainable Energy Consumption
“The attainment of sustainability goals at UConn requires the implementation of a comprehensive strategy encompassing both social and technical interventions. In the technical domain, a plausible solution involves enhancing the Combined Heat and Power (CHP) plant to accommodate versatile feedstocks, specifically biomass and solar energy, thereby substituting the conventional use of natural gas. Complementing this approach, the integration of sensor systems within UConn's buildings can effectively monitor and display real-time energy and water consumption data, fostering increased consciousness among the campus community regarding resource usage practices and the ecological ramifications associated with individual buildings.” |
Hasan Nikkhah, doctoral candidate in chemical engineering | Ioulia Valla, Ph.D.
Associate Professor of Environmental Engineering Education |
Jacob Lucas
Director of Transmission System Planning |
Francesco Rouhana, doctoral candidate in civil engineering | Burcu Beykal, Ph.D.
Assistant Professor, Chemical & Biomolecular Engineering |
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Dev Barochia ’25 (ENG), chemical engineering major | |||
Exploring Solar Canopies and Alternative Solar Panels Options for UConn
“Team MEEM will be working on the research surrounding the installation of parking lot solar canopies and the potential to add solar panels to building rooftops by using thin film solar panels or solar shingles as an alternative, lighter-weight option. Implementing solar as a renewable energy source will help UConn with their carbon footprint because solar power does not produce emissions during the generation process. Examination of life-cycle assessments demonstrate that solar produces a smaller carbon output than traditional ‘cradle-to-grave’ fossil fuels, and will lower UConn's dependence on the traditional electric grid.” |
Kevin Howson, energy and environment management master of science program, focusing on law; | Chadwick Rittenhouse, Ph.D.
Assistant Professor in Residence, Department of Natural Resources & the Environment |
Brian Rice
Director of Customer Solar Programs at Eversource Energy |
Jacob Hyler, energy and environment management master of science program, focusing on sustainability | |||
Julie Sandberg, energy and environment management master of science program, focusing on geographic information systems | |||
Optimization of energy consumption and emissions reduction in UConn campuses through intelligent energy management systems
“Our team proposes developing an intelligent energy management system for UConn campuses, starting with the main campus in Storrs, to fulfill the sustainability goals and address local issues. Leveraging small-scale systems like microgrids and incorporating data analytics, machine learning, and optimization approaches, we aim to reduce energy waste, promote sustainable practices, and compare the costs and emissions reduction characteristics of different projects. We will explore alternative clean energy sources such as biomass and food wastes, evaluate load-shaping strategies, and create algorithms to forecast the viability and availability of bio-renewable energy resources, ultimately aiming to develop a comprehensive roadmap for UConn's decarbonized and sustainable energy system.” |
Anietie W. Williams, doctoral candidate in chemistry | Zongjie Wang, Ph.D.
Assistant Professor, Department of Electrical & Computer Engineering |
Ronald Araujo
Director - Energy Efficiency at Eversource Energy |
Faith Wariri, doctoral candidate in computer science and engineering | |||
A Real-time Behind the Meter PV Generation Forecasting System
“In 2022, solar provided 3.17% of Connecticut electricity, but the stochastic nature of solar PV generation poses significant challenges in reliable and secure grid operations. To address this problem, we will develop a Real-Time behind-the-meter Solar Power Forecasting (RTSPF) system that will use remote sensing to help with power dispatching optimization, overvoltage management, and clean energy transitions. This project has the potential to support statewide decarbonization and energy equity goals.” |
Kexin Song, doctoral candidate in natural resources and the environment | Junbo Zhao, Ph.D.
Assistant Professor, Electrical and Computer Engineering |
Steffen Ziegler
Lead Engineer System Planning - Modeling and Forecasting Sophia Zhang |
Haoyi Wang, doctoral candidate in electrical engineering | |||
Paul Zambrzycki ‘24 (ENG), electrical engineering major |