US firm to boost next-gen grid modernization, advance resilience with battery storage ⁠60%

By Maria Mocerino⁠86%

8/2/2026, 5:47:54 PM

BS Summary: This article contains 22 faulty reasoning types, including Halo Effect, Self-Serving Bias, and Attempt to Sell a Product or Service, with Appeal to Authority as the most egregious example at 37.6% saturation with 195 hits. Analysis detected 1,376 faulty-reasoning hits from 518 analyzed words, generating a BS Score of 49.1% and a BS Rank of ⁠60% (11,187 of 27,714 articles). This article is worse (more manipulative) than 59.60% of the article peer group.

As demand on the grid continues to grow, Viridi is teaming with a U.S. 
Department of Energy (DOE) national laboratory to usher in next-generation utility grid technologies to advance the grid. 
The Oak Ridge National Laboratory (ORNL) selected Viridi’s fail-safe battery energy storage systems (BESS) to install at ORNL’s Grid Research Innovation and Development Center (GRID-C) as part of the testing platform for a DOE resource integration and evaluation project. 
As described on its website, its fail-safe, AI-enhanced aqueous sodium-ion battery technology uses non-flammable electrolytes and abundant materials to transform saltwater into safe, pollution-free electricity. 
And it’s 100% green. 
Founded in Tennessee as part of the Manhattan Project in World War II, the 4,000-plus-acre Oak Ridge National Laboratory is the largest science and energy research laboratory in the United States, focusing on supercomputing, clean energy, and materials research. 
Viridi installs state-of-the-art tech 
Viridi’s RPS 150 was installed at GRID-C’s Power Distribution Field Test Site. 
ORNL integrated its converter system with Viridi’s battery to validate the technology, as per a press release. 
But, before that, they had developed a system for controlling clusters of grid resources to meet utility needs. 
It was first tested in an indoor laboratory using emulated energy sources and battery storage. 
But they wanted to follow up with live-grid testing. 
“This project bridges an important gap by integrating real electrical equipment to understand realistic performance challenges, proving the robustness of ORNL’s new control strategies and AC/DC architecture for supporting the future grid,” said Dr. 
Madhu Sudhan Chinthavali, Electrical Systems Integration Program Manager at Oak Ridge National Laboratory. 
“Viridi’s battery integrated seamlessly with our management system, and its engineering team supported our researchers throughout testing and integration, making them a valuable partner.” 
And it couldn’t be a better time. 
The grid is a growing issue in the age of AI. 
“BESSs have become a critical component of grid infrastructure,” as per a press release. 
Pressure is on the rise to modernize aging grid systems, integrate distributed energy resources, and improve resilience against disruptions. 
“The ability to coordinate energy storage across multiple components of the grid is emerging as one of the most important capabilities in that effort.” 
The future looks bright 
“Being selected by Oak Ridge National Laboratory to support the project is a milestone for Viridi and a validation of what we have built”, said Jon M. 
Williams, CEO, Viridi. 
“When a DOE national lab chooses your technology to support their research, it is the highest bar a battery system can meet. 
We built Viridi’s fail-safe BESS to perform in exactly these kinds of environments, and we are proud to be partnering with ORNL to advance the grid modernization solutions that utilities across the country need. 
As a press release concludes , the companies presented their partnership as the beginning of a long-term commitment, with other projects planned . 
Viridi stated that the partnership represents a significant step in its mission to bring safe, reliable battery energy storage to the infrastructure applications that matter most, from grid modernization research to real-world utility deployment. 
Article reasoning-pattern comparisonThis article: 18.0%Maria Mocerino: 5.5%Interesting Engineering: 3.1%Confirmation Bias18.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 1.1%Anchoring Bias0.0%This article: 5.4%Maria Mocerino: 1.3%Interesting Engineering: 2.0%Availability Heuristic5.4%This article: 0.0%Maria Mocerino: 0.7%Interesting Engineering: 1.0%Representativeness Heuristic0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.2%Hindsight Bias0.0%This article: 4.2%Maria Mocerino: 6.3%Interesting Engineering: 4.2%Overconfidence Bias4.2%This article: 12.5%Maria Mocerino: 2.7%Interesting Engineering: 5.4%Framing Effect12.5%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.1%Loss Aversion0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.6%Status Quo Bias0.0%This article: 1.7%Maria Mocerino: 0.6%Interesting Engineering: 0.4%Sunk Cost Effect1.7%This article: 9.8%Maria Mocerino: 20.3%Interesting Engineering: 15.1%Optimism Bias9.8%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.4%Pessimism Bias0.0%This article: 4.4%Maria Mocerino: 0.6%Interesting Engineering: 1.0%Negativity Bias4.4%This article: 27.2%Maria Mocerino: 7.6%Interesting Engineering: 3.9%Self-Serving Bias27.2%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.1%Fundamental Attribution Error0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 0.0%Maria Mocerino: 0.9%Interesting Engineering: 0.8%In-Group Bias0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Out-Group Homogeneity Bias0.0%This article: 32.4%Maria Mocerino: 13.5%Interesting Engineering: 4.3%Halo Effect32.4%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 4.4%Maria Mocerino: 0.5%Interesting Engineering: 0.9%Recency Bias4.4%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.2%Primacy Effect0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 37.6%Maria Mocerino: 13.8%Interesting Engineering: 7.0%Appeal to Authority37.6%This article: 4.2%Maria Mocerino: 0.3%Interesting Engineering: 1.2%False Dilemma4.2%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.3%Slippery Slope0.0%This article: 0.0%Maria Mocerino: 0.3%Interesting Engineering: 0.1%Circular Reasoning0.0%This article: 13.9%Maria Mocerino: 3.6%Interesting Engineering: 4.1%Hasty Generalization13.9%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.1%Red Herring0.0%This article: 0.0%Maria Mocerino: 0.8%Interesting Engineering: 0.7%Bandwagon0.0%This article: 6.6%Maria Mocerino: 4.4%Interesting Engineering: 1.8%Appeal to Emotion6.6%This article: 14.5%Maria Mocerino: 3.5%Interesting Engineering: 0.9%Begging the Question14.5%This article: 0.0%Maria Mocerino: 3.6%Interesting Engineering: 1.8%Post Hoc (False Cause)0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.4%Burden of Proof0.0%This article: 4.8%Maria Mocerino: 0.4%Interesting Engineering: 0.2%Appeal to Nature4.8%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.4%Composition/Division0.0%This article: 17.8%Maria Mocerino: 1.4%Interesting Engineering: 0.6%Anecdotal17.8%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%No True Scotsman0.0%This article: 8.5%Maria Mocerino: 3.8%Interesting Engineering: 1.9%Ambiguity (Equivocation)8.5%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Middle Ground0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.1%Special Pleading0.0%This article: 0.0%Maria Mocerino: 0.5%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 7.3%Maria Mocerino: 4.0%Interesting Engineering: 1.4%Unattributed Quote7.3%This article: 0.0%Maria Mocerino: 1.6%Interesting Engineering: 0.5%Quote-first Misdirection0.0%This article: 6.6%Maria Mocerino: 5.1%Interesting Engineering: 3.3%Biased Writer Voice6.6%This article: 4.8%Maria Mocerino: 0.8%Interesting Engineering: 0.6%Indoctrination4.8%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Maria Mocerino: 0.0%Interesting Engineering: 0.1%Politically Right Leaning Bias0.0%This article: 18.7%Maria Mocerino: 12.8%Interesting Engineering: 9.1%Attempt to Sell a Product or S…18.7%

518 words analyzed.

Speakers

4speakers40%attributed speech312writer words
Selected voice

Viridi

100%flagged-word coverage
34 attributed words17% of attributed speech86% writer coverage
0%50.0%100.0%Attempt to Sell a Product +90.7 ptsWriter: 9.3%Viridi: 100.0%100.0%Unattributed Quote-12.2 ptsWriter: 12.2%Viridi: 0.0%0.0%Biased Writer Voice-10.9 ptsWriter: 10.9%Viridi: 0.0%0.0%Indoctrination-8.0 ptsWriter: 8.0%Viridi: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.