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By Devonie McCamey

A quick scan of recent energy-related headlines and industry announcements shows rising interest in hybrids — and we are not talking about cars.

Hybrid renewable energy systems combine multiple renewable energy and/or energy storage technologies into a single plant, and they represent an important subset of the broader hybrid systems universe. These integrated power systems are increasingly being lauded as key to unlocking maximum efficiency and cost savings in future decarbonized grids — but a growing collection of National Renewable Energy Laboratory (NREL) analysis indicates there are still challenges in evaluating the benefits of hybrids with the tools used to help plan those future grids.

In comparing hybrids to standalone alternatives, it is important to tackle questions like: Is it always beneficial to combine renewable and storage technologies, instead of siting each technology where their individual contributions to the grid can be maximized? Or are only certain hybrid designs beneficial? Does the energy research community consistently represent the characteristics of hybrids in power system models? And are we using common definitions when studying hybrids and their potential impacts?

Turning over a Magic 8-Ball might bring up the response: Concentrate and ask again.

“At NREL, we’re working to represent hybrid systems in our models in a more nuanced, detailed way to try to answer these questions — and ultimately advance the state of modeling to ensure consistency in how hybrids are treated across different tools,” said Caitlin Murphy, NREL senior analyst and lead author of several recent studies of hybrid systems. “With growing interest in these systems that can be designed and sized in lots of different ways, it’s crucial to determine the value they provide to the grid — in the form of energy, capacity, and ancillary services — particularly relative to deploying each technology separately.”

The results of this body of work highlight some gaps between what different models show and what many in the energy community have — perhaps prematurely — proclaimed when it comes to the value of hybrid systems to the future grid.

“Hybridization creates opportunities and challenges for the design, operation, and regulation of energy markets and policies — and current data, methods, and analysis tools are insufficient for fully representing the costs, value, and system impacts of hybrid energy systems,” said Paul Denholm, NREL principal energy analyst and coauthor. “Ultimately, our research points to a need for increased coordination across the research community and with industry, to encourage consistency and collaboration as we work toward answers.”

First, What Do We Mean When We Talk About Hybrid Systems? NREL Proposes a Taxonomy To Delineate What Makes a System a True Hybrid

Finding answers starts with speaking the same language. To help researchers move toward a shared vocabulary around systems that link renewable energy and storage technologies, Murphy and fellow NREL analysts Anna Schleifer and Kelly Eurek published a paper proposing a new taxonomy.

Schematic showing several proposed technology combinations for hybrid energy systems. NREL’s literature review identified several proposed technology combinations. Blue nodes represent variable renewable energy (VRE) technologies, green nodes represent energy storage technology types, and orange nodes represent less-variable renewable energy (RE) technologies or systems; arcs indicate technology pairs that have been proposed in the literature. PV: photovoltaic; RoR: run-of-river; HESS: hybrid energy storage system; CSP + TES: concentrating solar power with thermal energy storage; the Mechanical storage icon encompasses compressed air energy storage and flywheels, both of which ultimately convert the stored energy to electricity. Source: “A Taxonomy of Systems that Combine Utility-Scale Renewable Energy and Energy Storage Technologies

“Our ability to quantify hybrids’ potential impacts could be hindered by inconsistent treatment of these systems, as well as an incomplete understanding of which aspects of hybridization will have the greatest influence,” Murphy said. “Ultimately, we hope our proposed taxonomy will encourage consistency in how the energy community thinks about and evaluates hybrids’ costs, values, and potential.”

After a thorough literature review, the team developed a new organization scheme for utility-scale systems that combine renewable and energy storage technologies — only a subset of which can truly be called “hybrids.” They came up with three categories based on whether the systems involve locational or operational linkages, or both.

“We found that technology combinations do not represent a meaningful delineation between hybrids and non-hybrids — the nature of the linkages are more important distinctions,” Murphy said.

The resulting categories can help inform policy considerations, as they define system characteristics that could challenge existing permitting, siting, interconnection process, and policy implementations. The taxonomy is also helpful in informing model development efforts, as the categories identify the unique characteristics that must be reflected to adequately represent hybrid systems in a model — including the effects of the linkages on both a project’s costs and the values it can deliver to the grid.

That is where NREL’s next set of analyses comes in.

In a series of recent reports, NREL analysts homed in on a set of technology combinations and linkages that are consistent with a true hybrid system — co-optimizing the design and self-scheduling of linked technologies to maximize net economic benefits.

To do this, NREL modeled hybrid systems using three different tools that underpin many of the laboratory’s forward-looking power system studies. These analyses focus on DC-coupled solar photovoltaic and battery energy storage (PV+battery) hybrids, which are increasingly being proposed for the power system.

Can We Improve How Capacity Expansion Models Assess the Value of PV+Battery Hybrids? “Signs Point to Yes.”

Combining PV and battery technologies into a single hybrid system could lower costs and increase energy output relative to separate systems — but accurately assessing PV+battery systems’ market potential requires improved methods for estimating the cost and value contribution in capacity expansion models, including those that utilities use for integrated resource planning.

In Representing DC-Coupled PV+Battery Hybrids in a Capacity Expansion Model, Eurek, Murphy, and Schleifer teamed up with fellow NREL analysts Wesley Cole, Will Frazier, and Patrick Brown to demonstrate a new method for incorporating PV+battery systems in NREL’s publicly available Regional Energy Deployment System (ReEDS) capacity expansion model.

“The method leverages ReEDS’ existing treatment of separate PV and battery technologies, so the focus is on capturing the interactions between them for a hybrid with a shared bidirectional inverter,” Eurek said. “While we apply this method to ReEDS, we anticipate that our approach can be useful for informing PV+battery method development in other capacity expansion models.”

The research team used the method to explore a range of scenarios for the United States through 2050, using different cost assumptions that are uncertain and expected to influence how competitive PV+battery hybrids will be. These include the cost of hybrid systems relative to separate PV and battery projects, the battery component’s qualification for the solar investment tax credit (ITC), and future cost trajectories for PV and battery systems.

“From the full suite of scenarios, we find that the future deployment of utility-scale PV+battery hybrids depends strongly on the level of cost savings that can be achieved through hybridization. So, greater sharing of balance-of-system costs, reductions in financial risk, or modularity can all lead to greater PV+battery hybrid deployment,” Eurek said. “Deployment is also highly sensitive to the battery component’s ability to arbitrage, based on charging from the grid when prices are low and selling back to the grid when prices are high.”

In all scenarios explored, the synergistic value in a PV+battery hybrid helps it capture a greater share of generation, which primarily displaces separate PV and battery projects. In other words, the model results indicate that there is strong competition between PV+battery hybrids and separate PV and battery deployments — although it is important to note that the modeling does not reflect the faster and simpler interconnection process for hybrid projects, which could shift the competition with other resource types as well. In addition, if the PV+battery hybrid is designed and operated to ensure the battery component can qualify for the solar ITC, that could accelerate near-term deployment of PV+battery hybrids.

The team notes several ways in which future PV+battery system modeling could be improved — regardless of which capacity expansion model is used. A top priority is improving the representation of the battery component, including operations-dependent degradation — which may be distinct for hybrid versus standalone battery systems — and temporary operational restrictions associated with its qualification for the solar ITC. In addition, modeling retrofits of existing PV systems to add batteries may be especially important, since this is often considered one of the fastest ways to get PV+battery hybrids onto the grid.

What About Hybrids’ System-Level Operational Benefits? “Outlook Good.”

The operation and value of PV+battery hybrids have been extensively studied from the perspective of project developers through analyses that maximize plant-level revenue. But hybrid systems’ operational characteristics have rarely been studied from the perspective of grid operators, who work to maintain reliability and maximize affordability by optimizing the performance of a suite of generation and storage assets.

In Evaluating Utility-Scale PV-Battery Hybrids in an Operational Model for the Bulk Power System, NREL analysts Venkat Durvasulu, Murphy, and Denholm present a new approach for representing and evaluating PV+battery hybrids in the PLEXOS production cost model, which can be used to optimize the operational dispatch of generation and storage capacity to meet load across the U.S. bulk power system.

Production cost models are an important tool used by utilities and other power system planners to analyze the reliability, affordability, and sustainability associated with proposed resource plans. Here, NREL demonstrated a technique to enhance a production cost model to represent the operational synergies of PV+battery hybrids.

“We used a test system developed for NREL’s recent Los Angeles 100% Renewable Energy Study — replacing existing PV and battery generators on this modeled system with PV+battery hybrids,” Denholm said.

The research team analyzed different scenarios that were designed to isolate the various drivers of operational strategies for PV+battery hybrids — including how the technologies are coupled, the overall PV penetration on the system, and different inverter loading ratios (or degrees of over-sizing the PV array relative to its interconnection limit).

Results show multiple system-level benefits, as the growing availability of PV energy with increasing inverter loading ratio resulted in increased utilization of the inverter (i.e., resulting in a higher capacity factor), a reduction in grid charging (in favor of charging from the local PV, which is more efficient), and a decrease in system-wide production cost.

This chart shows the destination of all PV direct-current (DC) energy collected over the course of a year for simulated PV+battery hybrids as a function of inverter load ratio (ILR). In addition to demonstrating the growing availability of PV DC energy with increasing ILR, the breakdown of utilized PV DC energy indicates that most is sent directly to the grid and 15%–25% is used to charge the local battery. AC = alternating current. Source: Evaluating Utility-Scale PV-Battery Hybrids in Operational Models for the Bulk Power System

“The approach we present here can be used in any production cost modeling study of PV+battery hybrids as a resource in different power system configurations and services,” Durvasulu said. “This is a critical step toward being able to evaluate the system-level benefits these hybrids can provide, and improving our understanding of how a grid operator might call on and use such systems.”

How Could the Value of Hybrids Evolve Over Time? “Reply Hazy, Try Again.”

The third report in the series brings yet another modeling method to the table: price-taker modeling, which quantifies the value that can be realized by PV+battery systems — and explores how this value varies across multiple dimensions.

In “The Evolving Energy and Capacity Values of Utility-Scale PV-Plus-Battery Hybrid System Architectures,” Schleifer, Murphy, Cole, and Denholm explore how the value of PV+battery hybrids could evolve over time — with highly varied results.

Using a price-taker model with synthetic hourly electricity prices from now to 2050 (based on outputs from the ReEDS and PLEXOS models), NREL simulated the revenue-maximizing dispatch of three PV+battery architectures in three locations. The architectures vary in terms of whether the PV+battery systems have separate inverters or a shared inverter and whether the battery can charge from the grid. The locations vary in terms of the quality of the solar resource and the grid mix, both of which influence the potential value of PV+battery hybrids.

“We found that the highest-value architecture today varies largely based on PV penetration and peak-price periods, including when they occur and how extreme they are,” Schleifer said. “Across all the systems we studied, we found that hybridization could either improve or hurt project economics. And no single architecture was the clear winner — in some cases, you want to take advantage of a shared inverter, and in other cases, separate inverters and grid charging are too valuable to give up.”

The results of this price-taker analysis show that a primary benefit of coupling the studied technologies is reduced costs from shared equipment, materials, labor, and infrastructure. But in the absence of oversizing the PV array, hybridization does not offer more value than separate PV and battery systems. In fact, hybridization can actually reduce value if the systems are not appropriately configured — which means appropriately sizing and coupling the battery and likely oversizing the PV array relative to the inverter or interconnection limit.

Another important finding is that both subcomponents stand to benefit from hybridization. As PV penetration grows, the additional energy and capacity value of a new PV system declines rapidly — but coupling the PV with battery storage helps to maintain the value of PV by allowing it to be shifted to periods where the system can provide greater value. In addition, coupled PV can help increase the total revenue of the battery by displacing grid-charged energy, which typically has non-zero cost.

“As the role of PV+battery hybrids on the bulk power system continues to grow, it will be increasingly important to understand the impact of design parameters on economic performance,” Schleifer said. “Additional analysis is needed to tease out the factors that impact the performance and economics of PV+battery hybrid systems — and give system planners and researchers clearer answers about their possible benefits.”

Working Toward “Without a Doubt:” A Call for Coordination To Resolve the Remaining Unknowns

Looking at this collection of work, one thing is clear: No current model is an accurate Magic 8-Ball for predicting hybrids’ future value — but coordinated efforts to improve our models can bring the research community a step closer to a clear outlook.

And momentum is building: The U.S. Department of Energy (DOE) has convened the DOE Hybrids Task Force — which worked with NREL, Lawrence Berkeley National Laboratory, and seven other national laboratories to develop the recently released Hybrid Energy Systems: Opportunities for Coordinated Research, which highlights innovative opportunities to spur joint research on hybrid energy systems in three research areas. That effort touches on the PV+battery hybrids described in this article, and it also considers additional technology combinations that could have a growing role in the future, including PV+windnuclear+electrolysis, and other low-emitting hybrid systems.

“While the power system was originally developed as single-technology plants, and many of our research efforts have been siloed to individual technologies, the DOE Hybrid Task Force represents a step toward collaboration,” Murphy said. “We were able to identify several high-priority research opportunities that span multiple technologies, establish common priorities, and lay a foundation for further dialogue.”

In the days ahead, NREL is uniquely poised to further the validation of hybrid system performance and operation with the Advanced Research on Integrated Energy Systems (ARIES) research platform. ARIES introduces both a physical and a near-real-world virtual emulation environment with high-fidelity, physics-based, real-time models that facilitate the connection between hundreds of real hardware devices and tens of millions of simulated devices.

Integrated energy pathways modernizes our grid to support a broad selection of generation types, encourages consumer participation, and expands our options for transportation electrification.

Ultimately, advancing hybrid systems research at NREL and other national laboratories will require more coordination with industry. The DOE Hybrids Task Force report identified the need for a multistakeholder workshop to take a deep dive into what is motivating different stakeholders to propose and deploy different types of hybrid systems.

“By creating opportunities to directly solicit insights from industry, utility planners, and other stakeholders, we can move toward a deeper understanding of what sources of value are driving industry interest in hybrids,” Murphy said. “Is there inherent value that can only be unlocked through hybridization, or is some of the value embedded in the familiar? By adding storage to variable resources, we can make them look and participate more like the controllable resources we are used to having on the power system.

“Bringing the key players together will help us as researchers to recognize these motivations — some of which we might not currently understand — and close the gap in how to represent them in our models.”

Learn more about NREL’s energy analysis and grid modernization research.

Article courtesy of the NREL, the U.S. Department of Energy

Featured photo by Ramón Salinero on Unsplash


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The ticket bot cometh: cities are ticketing drivers that AI says are bad [update]

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The ticket bot cometh: cities are ticketing drivers that AI says are bad [update]

In a high-tech move that we can all get behind and isn’t dystopian at all, the City of Barcelona is feeding camera data from its city buses into an advanced AI, but they swear they’re not using the footage to to issue tickets to bad drivers. Yet.

UPDATE 06DEC2025: the ticket bot cometh to Chicago.

Last month, the Chicago Transit Authority (CTA) contracted with Hayden AI to equip six of its transit buses with AI-powered license plate readers intended to target illegally parked vehicles in an area bound by North Avenue, Roosevelt Road, Lake Michigan and Ashland Avenue.

As with similar pilots in Barcelona and NYC, the Hayden AI technology captures information from vehicles illegally blocking bus and bike lanes, then submits its “findings” to a human reviewer for confirmation. If the reviewer agrees with the AI, they can issue a fine of $90 for parking in a bus lane, $250 for bike lane obstruction, $50 for parking in expired meters outside of the central business district, and $140 for personal vehicles parked in commercial loading zones.

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Despite those hefty fines, Chicago Mayor Brandon Johnson is quick to point out that the goal of the program isn’t to generate revenue.

“Every Chicagoan deserves a transportation system that is safe, reliable, and efficient,” said Mayor Johnson, in a statement. “By keeping bus and bike lanes clear of illegally parked vehicles, the Smart Streets pilot helps us protect our most vulnerable road users while improving the daily commute for riders across the city.”

The official release makes no mention of the fact that Hayden AI’s system generated nearly $21 million in revenue for the city in just a few months, despite the fact that thousands of those ticketed weren’t doing anything wrong.

We wrote about some of these issues back in Jun. You can read that original article, below, and let us know what you think of Chicago’s “non-revenue” claims in the comments.


Barcelona launches automated bus lane and bus stop enforcement pilot with Hayden AI
Barcelona ticketing AI; via Hayden AI.

Barcelona and its Ring Roads Low Emission Zone have earned lots of fans by limiting ICE traffic in the city’s core. The city’s latest idea to promote mass transit is the deployment of an artificial intelligence system developed by Hayden AI for automatic enforcement of reserved lanes and stops to improve bus circulation – but while it seems to be working as intended, it’s raising entirely different questions.

“Bus lanes are designed to help deliver reliable, fast, and convenient public transport service. But private vehicles illegally using bus lanes make this impossible,” explains Laia Bonet, First Deputy Mayor, Area for Urban Planning, Ecological Transition, Urban Services and Housing at the Ajuntament de Barcelona. “We are excited to partner with Hayden AI to learn where these problems occur and how they are impacting our public transport service.”

Currently operating as a pilot program on the city’s H12 and D20 bus lines, the system uses cameras installed on the city’s electric buses to detect vehicles that commit static violations in the bus lanes and stops (read: stopping or parking where you shouldn’t). The Hayden AI system then analyses that data and provides statistical information on what it captures while the bus is driving along on its daily route.

Hayden AI says that, while it photographs and records video sequences and collects contextual information of the violation, its cameras do not record license plates or people and no penalties are being issued to drivers or owners of the vehicles.

So far so good, right? But it’s what happens once the six mont pilot is over that seems like it should be setting off alarm bells.

Big Brother Bus is watching


“You are being recorded” sign in a bus; via Barcelona City Council.

The footage is manually reviewed by a Transports Metropolitans de Barcelona (TMB) officer, who reportedly reviewed some 2,500 violations identified by AI in May alone. But, while the system isn’t being used to issue violations during the pilot program, it easily could.

And, in fact, it already has … and the AI f@#ked up royally.

AI writes thousands of bad tickets


NYC issued hundreds of thousands of tickets; via NBC.

When AI was given the ability to issue citations in New York City earlier this year, it wrote more than 290,000 tickets (that’s right: two-hundred and ninety thousand) in just three months, generating nearly $21 million in revenue for the city. The was just one problem: thousands of those drivers weren’t doing anything wrong.

What’s more, the fines generated by the AI powered cameras were supposed to be approved only after being verified by a human, but either that didn’t happen, or it did happen and the human operator in question wasn’t paying attention, or (maybe the worst possibility) the violations were mistakes or hallucinations, and the human checker couldn’t tell the difference.

In OpenAI’s tests of its newest o3 and o4-mini reasoning models, the company found the o3 model hallucinated 33% of the time during its PersonQA tests, in which the bot is asked questions about public figures. When asked short fact-based questions in the company’s SimpleQA tests, OpenAI said o3 hallucinated 51% of the time. The o4-mini model fared even worse: It hallucinated 41% of the time during the PersonQA test and 79% of the time in the SimpleQA test, though OpenAI said its worse performance was expected as it is a smaller model designed to be faster. OpenAI’s latest update to ChatGPT, GPT-4.5, hallucinates less than its o3 and o4-mini models. The company said when GPT-4.5 was released in February the model has a hallucination rate of 37.1% for its SimpleQA test.

FORBES

I don’t know about you guys, but if we had a local traffic cop that got it wrong 33% of the time (at best), I’d be surprised if they kept their job for very long. But AI? AI has a multibillion dollar hype train and armies of undereducated believers talking about singularities and building themselves blonde robots with boobs. And once the AI starts issuing tickets to the AI that’s driving your robotaxi, it can just call its buddy AI the bank to send over your money. No human necessary, at any point, and the economy keeps on humming.

But, like – I’m sure that’s fine. Embrace the future and all that … right?

SOURCES: Hayden AI, via Chicago Sun Times, Forbes, Motorpasión.


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Kubota, Kilter to partner on next-generation autonomous farm robot

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Kubota, Kilter to partner on next-generation autonomous farm robot

The Japanese agriculture equipment experts Kubota are partnering with Norwegian tech startup Kilter to co-develop, pilot, and promote the new Kilter AX-1 ultra high-precision weeding robot across Europe.

The collaboration will initially target Kubota’s vegetable growing customers in Germany and the Netherlands, specifically farmers growing spinach, salad lettuces, herbs, celeriac, and strawberries who hope to benefit of higher yields and crop quality while cutting the use of chemical pesticides to an absolute minimum.

To accomplish those goals, the Kilter AX-1 uses a patented tech package it calls “Single Drop Technology.” Single Drop Technology combines AI weed recognition and ~6 mm placement accuracy to deliver micro-doses directly to weeds, protecting the crop and minimizing the impact to the surrounding soil.

Getting that 6 mm droplet application wasn’t easy. “You can’t buy a field-ready droplet applicator off the shelf,” Anders Brevik, CEO of Kilter, told AgTechNavigator. “We had to design one that survives years of dust, vibration, temperature swings, and long operating days, while keeping droplet size, timing, and placement consistent. That takes deep agronomy knowledge, a lot of engineering, and thousands of hours of field testing.”

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Kilter says growers can reduce herbicide use by up to 95% by adopting the new AX-1, shifting selectivity from chemistry to smart application.

Kubota Europe’s Smart Farming Solutions Division, launched back in 2024, is working with the company’s European dealer network to train up sales staff and integrate the Kilter robot into Kubota’s broader farm solutions portfolio. There’s no word, yet, on pricing or if/when we’ll get the Kilter in North America.

Electrek’s Take


AX-1 robot; by Kilter, via AgTechNavigator.

Kubota has been bringing literal tons of electrified and autonomous ag solutions to shows like CES for the past few years, and they’ve made significant waves there. With partnerships that take the sustainability push beyond decarbonization and into the realms of de-chemicalizing (that’s a word) and pro-pollenatoring (another word), they’re making real steps towards a more sustainable future for agriculture.

SOURCES | IMAGES: Kilter, AgTechNavigator.


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The future of electric farming is taking shape at John Deere [video]

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The future of electric farming is taking shape at John Deere [video]

Energy independence and cost control are top of mind for farmers, and more companies are rolling out electric equipment that can be charged by solar, wind, or even on-farm biogas. With the debut of its latest next-generation electric tractor at Agritechnica last month, John Deere is signaling that it intends to lead that revolution.

John Deere says the E-Power electric tractor prototypes that it’s been quietly teasing since 2022 will be as quiet as a car, as easy to drive as a golf cart, and require minimal upkeep – and all while providing the same performance as the company’s beloved diesel tractors.

“Our goal with the E-Power tractor is to ensure it performs the same jobs as its diesel counterparts and works with the same implements, while unlocking incremental value,” explains Derek Muller, business manager for battery electric vehicle systems at John Deere. “Through our electric lineup, we’ll look to reduce operational and maintenance costs, deliver powerful and reliable performance, and intuitive operation.”

The latest electric John Deere tractor prototype, recently unveiled at Agritechnica, is equipped with a 100 hp drive motor and two, additional motors. One 130 continuous hp electric motor for the PTO, and a third for the hydraulic pump. They’ll draw power from up to five KREISEL li-ion battery packs, allowing customers significant pricing flexibility based on their ability to determine how much power and run time they need (and are willing to pay for) to get their jobs done.

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Electric John Deere tractor


130 hp electric tractor shown at Agritechnica; by John Deere.

The customization will go well beyond just battery size. Deere plans to offer customers a number of different tractor and equipment options, and keep costs competitive by basing them on a vehicle common architecture.

“John Deere aims to develop a single electric concept that customers can configure to their own needs,” writes Bob Karsten, at Future Farming. “Buyers will be able to choose the number of batteries (up to five, totalling 195 kWh), the axle type (narrow or wide track), and the cab (either an orchard cab or the familiar 5M cab). In essence, buyers select their preferred battery capacity. With the largest battery (195 kWh), the tractor can operate for eight hours. The target is to enable fast charging up to 80% in 30 minutes.”

Deere revealed one version of that upcoming electric tractor (above) at Agritechnica last week, but despite being an early prototype, it’s a fully functional piece that’s already seen duty with some of John Deere’s most trusted customers.

  • Daniel, an orchard customer from California, said his experience with the electric tractor led him to believe it could help ease training new operators, “I do think the tractor is much easier for drivers to understand it and to drive it. It would take less time to teach them [operators] how to use it.”
  • Tyler, a vineyard customer in California, believes that a new electric tractor could help his operation meet its sustainability goals, “When we look at our carbon footprint, greenhouse gas emissions, we want to try and reduce those as we run our equipment to farm our vineyards, we want to be conscious of the community at large.”

There’s no official word yet on when the new John Deere electric tractor platform will start reaching customers, but Big Green’s recent purchase of battery manufacturer KREISEL and its continued push into more global markets means that it can’t afford to take things slow.

You can check out a quick, virtual walkaround of John Deere’s E-Power electric tractor concept in this (admittedly older) video released around the ACT Expo, and expect more details and possible configurations at the upcoming CON/AGExpo conference in March.

John Deere E-Power configurations


SOURCE | IMAGES: John Deere.


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