Houston-based Evolve Energy uses a subscription-based wholesale energy plan to help its customers find better prices for more sustainable resources. Photo via evolvemyenergy.com

A wholesale retail energy startup based in Houston is preparing to scale its artificial intelligence-backed business based on its positive customer feedback

Evolve Energy uses AI and machine learning to optimize energy usage, providing customers with the best wholesale energy prices on fluctuating renewable resources.

"We want to help our customers save a significant amount of money on electricity costs and help them decarbonize the grid," CEO Michael Lee tells InnovationMap."There's been a serious of emerging events that enable us to do both at the same time, it's no longer a choice."

Evolve Energy, founded in 2018, sells wholesale electricity at cost to residential customers in Texas, charging a $10 monthly subscription fee plus the cost of wholesale electricity. Using their AI technology, they predict when price surges are likely and determine how much energy the customer needs to hit the parameters set on the app by the customer and usage history. The customer does not need to do anything but pair Evolve with their smart thermostat.

According to Lee, this enables customers to continue to use the same volume of electricity but cut their bill by 40 percent over the course of a year. Evolve uses a different business model, positioning itself not as energy providers but as efficient energy managers, passing their wholesale rate with no markup for even more savings to the customer.

"It builds a lot of trust between the customer and the supplier, they truly see that our incentive is to save them money and not to sell them any more power," Lee says.

With the increasing trend of electrification, Lee sees the role of energy companies grow in importance. This gives energy managers like Evolve a magnified role as machine learning and AI becomes imperative to shift consumption when renewables are cheaper on the grid.

Evolve is backed by several investors including Matt Rogers, the original co-founder of Nest thermostats through his investment platform, Incite; Urban-X funded by BMW MINI which focuses on smart applications; and the Austin-based startup accelerator and investor, Capital Factory.

The company has been officially on the market for the past two months, but it's already working on deploying capital to build in features requested by customers. Evolve expects significant growth in the next few years due to its highly scalable model.

"I'm just glad we could create a product that no longer makes it a choice between reducing emissions and saving money," Lee says.

Houston-based Innowatts closed its Series B funding round — a $18.2 million commitment from the likes of Energy Impact Partners, Shell Ventures, and more. Photo via innowattts.com

Houston AI-enabled retail energy platform receives $18.2M investment

Follow the money

Houston-based Innowatts has closed its Series B funding round lead by Energy Impact Partners. The company, which enables artificial intelligence through its retail energy technology platform, secured a $18.2 million investment. Current funders also include Shell Ventures, Iberdrola, and Energy and Environment Investment (EEI Japan) — which all three supported the company in its Series A — along with new investor Evergy Ventures.

The funds will be used to grow the company's eUtilityTMplatform technology — a B2B cloud-based software tool to help retail energy providers better deliver quality energy services and insights to clients. The eUtilityTM platform already processes meter data from over 21 million customers globally and across 13 regional energy markets, according to the release.

"Competing in today's complex and evolving marketplace requires utility companies use data and intelligence to drive business and customer value," says Siddhartha Sachdeva, founder and CEO of Innowatts, in a release. "Energy Impact Partners, along with its coalition of innovative utility investors, appreciates the role that the eUtilityTM platform can play in creating a smarter, more efficient energy value chain. We're excited to have EIP join us on the next phase of our journey in building the digital utility of the future."

The company is "poised to become a key building block in the software-driven, intelligent grid of the future," says Michael Donnelly, partner and chief risk officer at EIP in the release.

"We invest in companies driving the transformation of the energy sector towards an increasingly decarbonized, digitized, and electrified future – solutions that our utility partners can commercialize at scale and have the greatest impact," Donnelly continues.

Innowatts' $6 million Series A round closed in August 2017. Shell Ventures lead that round.

"Utilities have the opportunity to deliver more value to customers, at lower costs and with greater personalization than ever before, while helping streamline the complex energy marketplace," says Geert van de Wouw, vice president Shell Ventures, in a release. "The predictive customer intelligence and digital solutions provided by Innowatts' eUtilityTM platform is central to executing that vision."

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How Houston innovators played a role in the historic Artemis II splashdown

safe landing

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month.

Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice.

The model helped ensure that the parachute design was large enough to slow the capsule for a safe landing while also being stable enough to prevent the capsule from oscillating as it descended.

“You cannot separate the aerodynamics from the structural dynamics,” Tezduyar said in a news release. “They influence each other continuously and even more so for large spacecraft parachutes, so the analysis must capture that interaction in a robustly coupled way.”

The end result was a final parachute system, refined through NASA drop tests and Rice’s computational FSI analysis, that eliminated fluctuations and produced a stable descent profile.

Apart from the dynamic challenges in design, modeling Orion’s parachutes also required solving complex equations that considered airflow and fabric deformation and accounted for features like ringsail canopy construction and aerodynamic interactions among multiple parachutes in a cluster.

“Essentially, my entire group was dedicated to that work, because I considered it a national priority,” Tezduyar added in the release. “Kenji and I were personally involved in every computer simulation. Some of the best graduate students and research associates I met in my career worked on the project, creating unique, first-of-its-kind parachute computer simulations, one after the other.”

Current Intuitive Machines engineer Mario Romero also worked on Orion during his time at NASA. From 2018 to 2021, Romero was a member of the Orion Crew Capsule Recovery Team, which focused on creating likely scenarios that crewmembers could encounter in Orion.

The team trained in NASA’s 6.2-million-gallon pool, using wave machines to replicate a range of sea conditions. They also simulated worst-case scenarios by cutting the lights, blasting high-powered fans and tipping a mock capsule to mimic distress situations. In some drills, mock crew members were treated as “injured,” requiring the team to practice safe, controlled egress procedures.

“It’s hard to find the appropriate descriptors that can fully encapsulate the feeling of getting to witness all the work we, and everyone else, did being put into action,” Romero tells InnovationMap. “I loved seeing the reactions of everyone, but especially of the Houston communities—that brought me a real sense of gratitude and joy.”

Intuitive Machines was also selected to support the Artemis II mission using its Space Data Network and ground station infrastructure. The company monitored radio signals sent from the Orion spacecraft and used Doppler measurements to help determine the spacecraft's precise position and speed.

Tim Crain, Chief Technology Officer at Intuitive Machines, wrote about the experience last week.

"I specialized in orbital mechanics and deep space navigation in graduate school,” Crain shared. “But seeing the theory behind tracking spacecraft come to life as they thread through planetary gravity fields on ultra-precise trajectories still seems like magic."

UH breakthrough moves superconductivity closer to real-world use

Energy Breakthrough

University of Houston researchers have set a new benchmark in the field of superconductivity.

Researchers from the UH physics department and the Texas Center for Superconductivity (TcSUH) have broken the transition temperature record for superconductivity at ambient pressure. The accomplishment could lead to more efficient ways to generate, transmit and store energy, which researchers believe could improve power grids, medical technologies and energy systems by enabling electricity to flow without resistance, according to a release from UH.

To break the record, UH researchers achieved a transition temperature 151 Kelvin, which is the highest ever recorded at ambient pressure since the discovery of superconductivity in 1911.

The transition temperature represents the point just before a material becomes superconducting, where electricity can flow through it without resistance. Scientists have been working for decades to push transition temperature closer to room temperature, which would make superconducting technologies more practical and affordable.

Currently, most superconductors must be cooled to extremely low temperatures, making them more expensive and difficult to operate.

UH physicists Ching-Wu Chu and Liangzi Deng published the research in the Proceedings of the National Academy of Sciences earlier this month. It was funded by Intellectual Ventures and the state of Texas via TcSUH and other foundations. Chu, founding director and chief scientist at TcSUH, previously made the breakthrough discovery that the material YBCO reaches superconductivity at minus 93 K in 1987. This helped begin a global competition to develop high-temperature superconductors.

“Transmitting electricity in the grid loses about 8% of the electricity,” Chu, who’s also a professor of physics at UH and the paper’s senior author, said in a news release. “If we conserve that energy, that’s billions of dollars of savings and it also saves us lots of effort and reduces environmental impacts.”

Chu and his team used a technique known as pressure quenching, which has been adapted from techniques used to create diamonds. With pressure quenching, researchers first apply intense pressure to the material to enhance its superconducting properties and raise its transition temperature.

Next, researchers are targeting ambient-pressure, room-temperature superconductivity of around 300 K. In a companion PNAS paper, Chu and Deng point to pressure quenching as a promising approach to help bridge the gap between current results and that goal.

“Room-temperature superconductivity has been seen as a ‘holy grail’ by scientists for over a century,” Rohit Prasankumar, director of superconductivity research at Intellectual Ventures, said in the release. “The UH team’s result shows that this goal is closer than ever before. However, the distance between the new record set in this study and room temperature is still about 140 C. Closing this gap will require concerted, intentional efforts by the broader scientific community, including materials scientists, chemists, and engineers, as well as physicists.”

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This article originally appeared on EnergyCapitalHTX.com.