Although sustainability has invariably moved to the top of the corporate agenda across various sectors, businesses still face challenges in effectively implementing these transformative changes. Photo via Getty Images

Amid remarkable fund allocation towards tackling environmental, social, and corporate governance issues, investors deeply concerned about climate change exert substantial leverage on firms and regulators to make reforms.

Furthermore, the Securities and Exchange Commission has proposed new rules requiring all publicly listed corporations to disclose climate change risks in their regular filings with clear reporting obligations, such as information on direct greenhouse gas emissions (Scope 1), indirect emissions from purchased electricity or other forms of energy (Scope 2), as well as GHG emissions from upstream and downstream activities in the value chain (Scope 3).

Although sustainability has invariably moved to the top of the corporate agenda across various sectors, businesses still face challenges in effectively implementing these transformative changes. Many companies are still dealing with questions like:

  • What problems and possibilities should they prioritize?
  • Where should they devote time, effort, and money to have the most long term effect via business processes?
  • What principles, policies, and internal standards should be implemented to initiate the process and get good ESG ratings?
  • When do corporate sustainability challenges necessitate collaborations with other businesses to meet commitments and achieve goals?
  • What organizational behavior and change management measures should be incorporated to induce sustainability into the corporate culture?

One-fifth of businesses still need a sustainability plan in place, and fewer than 30 percent feel the effect of that strategy is evident to all employees.

Introducing climate-related practices across businesses and corporations takes time and effort. Since sustainability transformation initiatives span multiple business functions and units, whether they are helping or hurting the bottom line is often a fuzzy picture. It is not easy to quantify near-term profitable impacts directly emanating from sustainable strategies, disincentivizing many businesses from setting ambitious carbon reduction targets.

Businesses often struggle with what they intend to assess and what "good enough" performance looks like for the firm. Furthermore, sustainability performance reporting is infested with the inherent stakes of the legitimacy of data collection, defining the metrics and materiality, accountability to the stakeholders, the dynamism of the business environment, the complexity of reporting standards, and the risk of obsolescence of the tool.

For context, there are approximately 600 sustainability reporting standards, industry efforts, frameworks, and recommendations worldwide. Additionally, the one-directional data collection method used by the carbon market trading systems for scoring analyses often leads to intentional or unintentional greenwashing.

So then, what is the path forward?

An effective strategy would involve adopting a synergistic approach, just like the yin and the yang elements that embody balance and harmony on two distinct yet interconnected levels. The yin aspect, prevailing at the government level, would require a robust standardization of reporting frameworks via policymaking and regulations that can effectively implement suitable transformation engines for businesses. It will entail developing adaptable market mechanisms to successfully guide businesses and consumers to identify, plan, navigate, strategize, and execute greenhouse gas reduction initiatives. It will require answers to foundational questions like:

  • What tools and resources can help businesses improve their financial performance by reducing energy waste and energy costs?
  • How do manufacturers engage their suppliers in low-cost technical reviews to improve process lines, use materials more efficiently, and reduce waste?
  • How can waste management and recycling help a business by saving money, energy, and natural resources?

There is a dire need to standardize and consolidate the industry benchmarks and reporting frameworks against which businesses can assess their performance for climate action and potentially improve their bottom line by investing in appropriate carbon mitigation activities. This will create a fundamental shift in the mindset of corporates and raise the level of conversation from "Should we implement sustainable business frameworks?" to "How we could best implement sustainable frameworks for better ROI and an impactful bottom line?"

On the other hand, the yang element operates at the business or corporation level. Successful execution of sustainability strategies entails interweaving the sustainability thread into the business core across strategies and processes, operations and personnel, and products and services.

What is the business case for sustainability efforts? From operational cost savings to expansion in new markets, from enhanced brand equity to investor interest and share expansion, companies that incorporate robust and scalable sustainable practices have opportunities to unlock new sources of value capture and new markets that can deliver immediate financial rewards. Such measures will demonstrate the overall sustainability transformation's power and potentially provide money or cost savings to fund other components.

One way to do it is by introducing circular business models to reshape the whole product usage cycle: re-engineering product designs with more sustainable materials, redesigning the manufacturing lifecycle, recycling products, packaging, and waste, and reducing emissions in transportation, water, and energy consumption activities. By leveraging technology and AI in the extended system of interactions within and outside the business, companies can monitor, predict, and reduce the carbon emissions in their supply chains and yield immediate financial results.

Designing, implementing, and managing the foundational governance of sustainable business practices, strategies, structure, and tactics will require robust governance of sustainability efforts in all key business areas, including marketing, sales, product development, and finance. Additionally, organizational values, leadership initiative from the CEO and board level to the employees, and stakeholder interest are necessary to drive value for business policy. Involving employees in decision-making will help induce better commitment and accountability to implementing economic, social, environmental, and technologically sustainable interventions and initiatives.

Finally, businesses need to understand that they could truly develop long-term business success and shareholder value when they stop viewing sustainability from a compliance or ESG reporting lens. Long-term business success cannot be achieved solely by maximizing short-term profits but through market-oriented yet responsible behavior that automatically drives enhanced business bottom lines. This demands a collaborative partnership between policymakers, the private sector, nonprofit organizations, academia, and civic society to usher in economic growth, competitiveness, and consumer interest. This partnership is essential for environmental protection and social responsibility to ensure a sustainable future.

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Ruchi Gupta is a certified mentor and vice chair at SCORE Houston.

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4 Houston researchers awarded projects in DOE's Genesis Mission

federal funding

The U.S. Department of Energy has named the nearly 300 projects selected under the Trump Administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country. The group features four projects from Houston universities and companies.

The initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security, according to a release.

The selected projects feature 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies and 4 led by nonprofit organizations—totalling 342 participating institutions.

“America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” U.S. Secretary of Energy Chris Wright said in a news release. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.”

Twelve Texas-based projects were selected among the 278. The Houston projects and their researchers include:

Caroline Ajo-Franklin

Ajo-Franklin recieved a Phase I grant for her project "Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids." Ajo-Franklin is a professor of biosciences at Rice University, a CPRIT Scholar in Cancer Research and member of the Rice Synthetic Biology Institute. The project aims to accelerate the engineering of microbes that can produce isoprenoids, which are natural compounds that could replace petroleum-derived fuels, solvents and materials.

“This project creates a continuous feedback loop in which AI guides experiments and each experiment generates more detailed data to better hone the AI model,” Ajo-Franklin said in a news release. “In addition, it demonstrates the extraordinary star power Rice has recruited in protein engineering and synthetic biology.”

Anastasios Kyrillidis

Kyrillidis recived a Phase I grant for his project "Cracking the VQA Optimization Bottleneck: AI Methods for Quantum Chemistry and Materials." Kyrillidis is the Noah Harding Associate Professor of Computer Science at Rice and a member of the Ken Kennedy Institute. The project aims to develop AI tools to resolve bottlenecks in quantum computing for chemistry and materials research.

“Our goal is to replace fragile, hand-tuned optimization methods with intelligent systems that can learn from quantum computations while still operating within frameworks that provide strong mathematical guarantees,” Kyrillidis added in the release.

Myoungkyu Lee

Lee received a nearly $750,000 Phase I grant for his project "Physics-Informed AI Surrogates for Turbulent Forced Convection in Energy System." Lee is an assistant professor of mechanical aerospace engineering at the University of Houston. Lee will collaborate with researchers from Lawrence Livermore National Laboratory and University of Pennsylvania on the project and develop artificial intelligence to accelerate the design of materials for advanced nuclear fission and fusion reactors.

“The goal is to develop a tool that runs much faster than today’s most detailed simulations while keeping errors small,” Lee said in a news release. “If successful, the approach could support better heat-transfer predictions for molten-salt reactor design and provide a starting point for studying heat removal in fusion blankets. This is one contribution among many toward reliable, carbon-free energy.”

Amit Padhi

Padhi recieved a grant for his project "Probabilistic Inference of Subsurface Fracture Connectivity for Stimulation Control with Physics-Informed AI." Padhi is a scientific advisor for Halliburton.

The DOE first called for applications for the Genesis Mission in March. At the time, the DOE shared that it would grant approximately $293 million to the selected teams via Phase I awards, ranging from $500,000 to $750,000 for nine-month project periods, and Phase II awards, for $6 million to $15 million over a three-year project period.

Since then, however, the initiative has grown with 15 federal agencies now granting research awards and funding opportunities under the Genesis umbrella. The White House announced this week that it had secured more than $5 billion in federal commitments to expand the initiative.

SLB teams with Liberty Energy on modular power for AI data centers

ai alliance

Houston-headquartered SLB and Denver-based Liberty Energy Inc. announced a strategic agreement this month to support the rapid growth of new data center capacity.

Under the agreement, SLB will supply modular data center infrastructure and oversee large-scale execution, while Liberty will provide modular power generation systems and behind-the-meter power management technology for developers looking to add capacity. According to Reuters, the power will come from natural gas generation.

“The bottleneck in AI infrastructure is no longer just compute. It is the ability to deliver infrastructure and power on the timelines the market now demands,” Gavin Rennick, president of SLB’s New Energy and Industrial business, said in a news release. “By bringing together complementary infrastructure and power capabilities, we will help developers accelerate deployment of new data center capacity.”

The companies seek to specifically offer the modular technologies in areas without traditional grid connections or where grid capacity is limited.

They also aim to improve the "efficiency, flexibility and environmental performance of future data center energy systems," potentially through solutions like hybrid power systems and digital energy management, according to the news release.

Goldman Sachs estimates that U.S. data center capacity will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. Other reports predict that Houston and Texas will be home to a significant portion of the data center boom, with capacity in the city and the state also expected to double in the next few years.

“The scale and complexity of AI energy infrastructure is fundamentally changing how power systems are built and deployed,” Ron Gusek, CEO of Liberty Energy, added in the release. “Liberty’s comprehensive power service platform is engineered to meet this transition, as customers increasingly prioritize tailored, integrated solutions. Building on our long-standing relationship with SLB, we are excited to bring power solutions that address immediate capacity constraints while supporting the next generation of energy systems.”

SLB sold its onshore hydraulic fracturing business in the United States and Canada to Liberty Energy in December 2020 in exchange for a 37 percent equity interest in the company.

New Rice study details how carbon capture could reduce AI data center emissions

by the numbers

A new study out of Rice University points to carbon capture and storage methods as pivotal solutions to addressing emissions from AI-driven data centers.

The study was authored by Hon Chung Lau, an adjunct professor in the Department of Chemical and Biomolecular Engineering at Rice University and founder of Low Carbon Energies LLC, and Steve C. Tsai, an energy transition consultant at Low Carbon Energies LLC, and published in the journal Energy & Fuels.

According to the study, U.S. data center power capacity could more than quadruple in five years, growing from 40 gigawatts in 2025 to 169 gigawatts by 2030. Without proper regulation of emissions, the report estimates that carbon dioxide produced by fossil-fuel power plants supplying electricity to data centers could grow at the same scale, increasing from 90 million metric tons to more than 404 million metric tons over the same time period.

The researchers analyzed publicly available data on announced U.S. data centers, which included energy sources, locations, and projected power capacity before estimating data center-related carbon emissions based on each state’s electricity mix. From there, they examined whether those emissions could be captured and stored underground in saline aquifers.

The team estimates that 34 states have enough saline aquifer storage capacity to store more than 100 years of projected data center-related carbon dioxide emissions beyond 2030. Aquifers could store an estimated 59 million metric tons of data center-related carbon dioxide, or about 66 percent of the sector’s emissions in 2025. However, that calculation could grow to 299 million metric tons, or about 74 percent of projected data center-related emissions by 2030.

The researchers found that more than 90 percent of data center-related carbon dioxide emissions could potentially be mitigated through carbon capture and storage when out-of-state storage options are included, even though they note that carbon capture isn’t the only solution.

“It does show that the geology exists to make a meaningful impact, especially in states where data center growth is strongest,” Lau said in a news release.

Rapid growth in states including Texas, Virginia, Pennsylvania, Ohio, Arizona, Colorado, Utah and Illinois was considered in the study. According to the findings, Texas would need to add 25 gigawatts of power capacity by 2030 to meet projected data center demand, as data centers require reliable electricity 24/7.

“Data centers are becoming one of the defining energy challenges of the AI era,” Lau added in the news release. “The question is not only whether we can build enough computing infrastructure, but whether we can power it in a way that is reliable, affordable and compatible with decarbonization goals.”