Replacing Peaker Plants with Energy Storage in Texas

Overview

In this analysis, we assess where solar and storage have the potential to replace existing Texas peaker power plants and where their deployment may yield the greatest environmental health and equity benefits. Across Texas, peak electric demand is met in part by 54 operating gas-fired peaker power plants, peaking units at larger plants, and low-use natural gas combined cycle plants (with several more proposed plants in the works). These facilities are primarily reliant on combustion turbines designed to ramp up quickly to meet peak demand. The majority of these plants are natural gas-powered, and nearly two thirds are over 30 years old; these facilities in particular have high rates of greenhouse gas and health-damaging pollutant emissions for every unit of electricity generated. Moreover, these plants are located disproportionately in low-income and communities of color, where vulnerable populations already experience high levels of health and environmental burdens.

Many Texas peaker plants operate infrequently, which suggests they may be particularly good targets for replacement with energy storage. Texas’ energy landscape provides an opportunity to replace inefficient, high-emitting peaker plants with energy storage and solar in vulnerable communities throughout the state, simultaneously increasing resilience in the face of natural disasters. The state has been installing record-amounts of battery storage in recent years, with 6.5 GW of battery capacity installed in 2024 alone, bringing total battery storage to 10 GW. Texas has also installed over 37 GW of wind capacity, with another 4.4 GW planned. Storage is currently most cost-competitive with peaker plants – moving forward this approach can set a precedent for displacing fossil fuel peaker plants across the grid.

Texas Peaker Power Plant Map: Explore and visualize peaker plant data for gas- and oil-burning power plants used statewide to meet peak electric demand, including data on operations, greenhouse gas and criteria pollutant emissions, and nearby population demographics. We include combustion turbine, steam, low-use natural gas combined cycle, and internal combustion power plants as well as units at larger plants that are 5MW or larger and burn oil and gas at a low capacity factor⁠—less than 15 percent. The data do NOT include nuclear, solar, wind, hydro, biomass, coal, or geothermal generation. Texas Summary (2020): Read about our findings for energy storage peaker plant replacement opportunities. Technical Documentation (2020): Look up data sources, methods, and a discussion of state-level policy and regulatory considerations.

1. Statewide Map and Demographics: Map Texas power plants and visualize demographic data for nearby populations.
2. Cumulative Environmental Justice Index: Compare plants across an index of environmental, health, and socioeconomic burden indicators for populations living nearby.
3. Individual Plant Demographic View: Search for data on populations living near an individual power plant.
4. Individual Plant Operational View: Search for individual power plants and visualize historic generation and emissions data.
5. Plant Indicator Ranking: Rank plants by selected environmental or demographic indicators.
6. Data Comparison View: Select, compare, and plot user-specified data sets.

1. For a full-screen visualization: Click on the full-screen icon at the bottom right corner of a tab. 
2. To download images or data from an individual plot or map: Click on the download icon at the bottom right of that figure.
3. To undo all filters: Click on the revert icon at the bottom right corner of a tab.
4. To embed or share a link to a specific map view: Click the share icon on the bottom right of your map results.
5. To re-center maps: Click on the home icon , which appears when you hover in the top left corner of the map.
6. To look up terminology: Use the Glossary page.

Explore a map of Texas’ peaker power plants in relation to demographic indicators. Hover or click on an individual plant on the map to pull up its data. Use filters to select measures such as Plant Name or Plant Technology Type, which will indicate if a plant is stand-alone gas turbine or steam plant or a peaking unit located at a larger plant.

Example question: Which plants are located in urban communities of color? Larger circles on the right hand figure indicate more people live nearby.

We developed a Cumulative Environmental Justice Index (EJI) to compare the socioeconomic and environmental burdens on communities living near each power plant. This index is calculated for the population living within a given distance from the plant by averaging the state percentile rankings for fifteen environment indicators and eleven socioeconomic indicators aggregated from the CDC’s Environmental Justice Index (see Glossary for methods). The selected area’s EJI is then compared to every census tract in the state, such that an EJI of 90 has a higher cumulative environmental justice burden than 90 percent of census tracts in the state. Below, select a Distance from Plant of 1 or 3 miles to view the populations living within this distance of each plant, or filter to see if the plant is operating, retiring, or retired. Note that distinct peaking unit types at the same power plant (e.g. a gas turbine and a steam turbine) are shown separately.

Example question: Which plants are located in communities with high cumulative environmental, health and socioeconomic burdens?

Look up an individual Plant Name to find the demographics of populations living near the plant. Select a Radius of 1 or 3 miles to find average data for populations living within the chosen distance from the plant.

Example question: What is the total population living within one mile of a plant?

Look up an individual Plant Name to find information such as where the plant is located and the plant’s historical generation and emissions. Use the Year filter to find the average annual generation and emissions over the selected time period.

Note: Reported emissions for plants with very low capacity factors show more discrepancies and these data may be less reliable.

Example questions: How many times does a plant start per year? Plant start-up periods have higher emission rates. How many hours does it run when it is turned on? 3-5 hours might be a good match for energy storage.

Hover below a column and click the sort icon to re-rank the plants by a given environmental, demographic or operational indicator value. By default, the columns are ranked by capacity (size). Use filters to select the Plant Unit Type and the Distance from Plant used to analyze population data.

Note: Some data, such as generation on poor air quality days, are missing for certain plants. In addition, reported emissions for plants with very low capacity factors show more discrepancies and these data may be less reliable.

Example question: Which plants have the highest emission rates of nitrogen oxides (NO_x) for every megawatt-hour (MWh) of electricity generated? A MWh of an alternative resource would have the greatest emission benefits from displacing a MWh from one of these plants.

Choose which datasets to compare to create your own plot. Select X-Axis Selector and Y-Axis Selector to choose two datasets to compare. Use the Distance from Plant filter to select population in a 1- or 3-mile distance from the plant.

Note: Some data, such as run times, are missing for certain plants. In this case, individual plants without data will not show up under search bar.

Example question: Which plants are old and have low capacity factors? These might be good candidates for replacement.

See Glossary for definitions and Technical Documentation for methods and data sources.

To ask questions, make comments, report any errors in the data, or request a walk-through of the data visualizations, please contact Elena Krieger at: krieger@psehealthyenergy.org. These data are accurate to the best of our knowledge, but there are sometimes discrepancies in data aggregated from multiple sources and there may be errors in the compilation. We would appreciate your input if you notice any anomalies or inaccuracies to help us improve these visualizations. We are also eager to help you navigate and use the tool, so please reach out if we can help you use the tool to answer any specific questions!

Data last updated October 2024.