Power Generation and Utilities
Our power generation and utility research service provides actionable insights that help utilities, IPPs, regulators, and investors make informed decisions. Energy Tech Research helps drive innovation, improve efficiency, and shape strategic planning in the power sector.
Stay Ahead of Market & Technology Trends
Access insights on emerging power generation technologies, including advanced renewables, nuclear SMRs, hydrogen power, and hybrid gas-renewable systems.
Track grid modernization strategies, such as smart grids, AI-driven energy management, and distributed energy resources (DERs).
Make Informed Investment & Strategic Decisions
Identify high-growth markets for solar, wind, battery storage, and virtual power plants (VPPs).
Analyze M&A opportunities, corporate PPA trends, and utility-scale project pipelines.
Optimize Operational Efficiency & Decarbonization
Leverage data on next-gen energy storage (LDES, pumped hydro, second-life batteries) to ensure grid stability with high renewable penetration.
Evaluate carbon capture (CCUS), hydrogen integration, and demand flexibility strategies for achieving net-zero goals.
Enhance Grid Resilience & Reliability
Access research on wildfire mitigation, climate adaptation, and AI-driven grid monitoring.
Learn best practices from utilities deploying microgrids, grid-forming inverters, and real-time demand response programs.
Industry-Specific Case Studies
Challenge: Xcel Energy, a major U.S. utility, set an ambitious goal to achieve 100% carbon-free electricity by 2050. However, transitioning from coal and natural gas to renewables and storage required detailed research into grid reliability, technology readiness, and regulatory pathways.
Solution: Xcel used research on long-duration energy storage (LDES), hybrid gas-renewable systems, and performance-based regulation (PBR) to develop a cost-effective clean energy roadmap.
Outcome: Xcel accelerated coal plant retirements, expanded wind and solar capacity, and piloted iron-air battery storage, demonstrating how data-driven planning supports reliable decarbonization.
Challenge: With California experiencing severe wildfires linked to aging grid infrastructure, Southern California Edison (SCE) needed predictive analytics, grid hardening strategies, and regulatory compliance insights to minimize risk.
Solution: By leveraging research on AI-driven grid monitoring, distributed energy resources (DERs), and undergrounding feasibility, SCE implemented a Wildfire Mitigation Plan (WMP).
Outcome: SCE deployed grid-edge sensors, AI-driven fault detection, and microgrids in fire-prone areas, reducing wildfire-related outages and enhancing grid resilience.
Challenge: As Canada phases out coal, Ontario Power Generation (OPG) sought zero-carbon baseload options but needed research on advanced nuclear technologies, regulatory hurdles, and economic feasibility.
Solution: OPG partnered with GE Hitachi Nuclear Energy to deploy a 300 MW Small Modular Reactor (SMR), leveraging research on licensing pathways, safety regulations, and financial modeling.
Outcome: OPG’s SMR will be one of the first commercial deployments in North America, helping meet baseload demand while reducing carbon emissions.
Challenge: National Grid needed to integrate distributed solar, EV charging, and battery storage into its grid without causing reliability issues.
Solution: Using research on virtual power plants (VPPs), time-of-use pricing, and AI-driven demand response, National Grid launched a VPP pilot to aggregate home batteries, smart thermostats, and EV chargers as grid assets.
Outcome: The VPP provided peak load relief, reduced grid congestion, and enhanced customer energy savings, proving that demand flexibility is a scalable alternative to traditional power plants.