Intelligent Green-Powered Cities

In July 2019, U.S. House Committee leaders announced a bold vision to move the U.S. to 100% clean energy by 2050. Achieving this goal will require a massive scale deployment of renewable energy generated from clean, non-polluting, and renewable sources. In the past decade renewable energies especially distributed solar photovoltaics (DPV) have been developing rapidly, making solar the fastest growing renewable energy in the U.S.

This team aims to develop highly-integrative experimental-computational approaches to improve DPV integration and achieve energy efficiency and resiliency using data-driven modeling, intelligent demand management, and wireless energy harvesting. Through these pursuits, skills developed in areas of electrical power system, renewable generation, optimization algorithm, machine learning, wireless communication and networking, will be applied to solve real-world problems.

Projects will include:

• Design and modeling of distributed solar photovoltaics (DPV) system
• Analyzing the impact of DPV integration
• Developing techniques for real time electric load monitoring and forecasting
• Investigating energy resiliency under extreme weather or emergency conditions
• Developing wireless energy harvesting communications and wireless sensor networks
• Development of optimal scheduling strategies for energy request and data transmission

Interested? Contact Prof. Zhifang Wang and Prof. Yan Zhao