• INSPIRE Lab
  • Research
  • Team
  • Publication
  • Teaching
  • News
  • Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer
UT Shield
The University of Texas at Austin
  • INSPIRE Lab
  • Research
    • Research Areas
    • Facilities
    • Awards & Grants
    • Opportunities
  • Team
    • Principal Investigator
    • Current Students
    • Alumni
  • Publication
    • Publications by topic
    • Publications by year
  • Teaching
  • News
    • Lab Updates
    • Conferences

Clean Energy

Research / Applications

Clean Energy

— where we apply it

The energy transition demands smarter ways to generate, deliver, and use clean power. INSPIRE Lab studies how to plan renewable generation and distributed energy resources, operate smart grids that integrate electric vehicles and variable supply, and produce clean fuels like hydrogen for hard-to-electrify sectors.

Problems We Tackle

— three core challenges
Renewable Generation Planning
Problem 01

Renewable Generation Planning

Locating and sizing renewable generators and distributed energy resources to maximize integration under uncertainty.
Smart Grid Operations
Problem 02

Smart Grid Operations

Operating distribution networks with V2G, topology reconfiguration, and EV flexibility to absorb renewable variability.
Clean Fuels and Hydrogen
Problem 03

Clean Fuels & Hydrogen

Designing green hydrogen production, distribution, and use to decarbonize hard-to-electrify sectors.

Featured Publications

— recent highlights
Topology Reconfig + V2G figure
IEEE T-STE · 2019
Impacts of Integrating Topology Reconfiguration and Vehicle-to-Grid Technologies on Distribution System Operation
Guo, Zhou & Zhou
Smoothing Daily Load Profile figure
SEGN · 2025
Electric Vehicles’ Potential for Smoothing Daily Load Profile Considering Mobility Needs and Solar Output
INSPIRE Lab
Green H2 FCEV Freight figure
TR-E · 2026
Green Hydrogen Fuel Cell Electric Vehicles for Freight Transportation Decarbonization
Ghorbanali Zadegan & Guo
Full Publication List →

Highlighted Projects

PI NSF CAREER

A Decentralized Optimization Framework for Next-Generation Transportation and Power Systems with Large-scale Transportation Electrification

Co-PI NSF · Collaboration with Penn State

SH₂INE — Sustainable, Holistic Hydrogen INtegration Evaluation

Primary Sidebar

Recent Posts

  • CTR-2026
  • Xiangyu welcome
  • CTR 2025

Footer

FOOTER SECTION ONE

FOOTER SECTION TWO

FOOTER SECTION THREE

  • Email
  • Facebook
  • Instagram
  • Twitter

UT Home | Emergency Information | Site Policies | Web Accessibility | Web Privacy | Adobe Reader

© The University of Texas at Austin 2026