Wednesday, December 17, 2025

 

Turning wasted cold into profit: New study shows how LNG terminals can recover valuable hydrocarbons using seawater







Biochar Editorial Office, Shenyang Agricultural University

A technoeconomic analysis of cryogenic recovery of heavy hydrocarbons from LNG using seawater as the heat source 

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A technoeconomic analysis of cryogenic recovery of heavy hydrocarbons from LNG using seawater as the heat source

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Credit: Shing-hon Wong, Gongkui Xiao & Dongke Zhang






Every day, liquefied natural gas terminals around the world warm ultra cold LNG back into gas so it can be delivered to homes, power plants, and industry. In the process, an enormous amount of cold energy is released and largely wasted. A new study shows that this overlooked resource could be used to recover valuable hydrocarbons such as ethane and liquefied petroleum gas, creating both economic and environmental benefits.

Researchers from The University of Western Australia have developed and evaluated three process designs that capture higher value hydrocarbons during LNG regasification by using seawater as the heat source. Their analysis shows that all three designs are technically feasible and profitable under typical market conditions, with one configuration delivering especially strong economic performance.

“LNG arrives at terminals at extremely low temperatures, and most of that cold energy is simply discarded,” said lead author Shing Hon Wong. “Our work demonstrates that this cold can be put to work to separate ethane and LPG, which are often far more valuable than natural gas itself.”

Ethane and LPG are important feedstocks for petrochemical production and industrial applications. In many regions, particularly those with strong chemical manufacturing sectors, these products command higher prices than pipeline natural gas. Recovering them directly at LNG receiving terminals could significantly increase the overall value of imported LNG.

The research team used advanced process simulation software to model three alternative configurations for hydrocarbon recovery during LNG regasification. All designs rely on ambient temperature seawater, which is already widely used at LNG terminals, eliminating the need for fuel combustion or high temperature heating utilities.

Two of the designs focused on maximizing the use of LNG cold energy by re condensing methane rich gas streams, allowing pumps to be used instead of energy intensive compressors. The third design operated at lower temperatures to recover the greatest possible amount of ethane, but required additional compression and higher operating costs.

The results showed that ethane recovery ranged from about 91 to 96 percent across the three designs, while LPG recovery exceeded 90 percent in all cases. When economic performance was evaluated, the second design emerged as the most attractive option. For a typical LNG receiving terminal with a capacity of about 3.15 million tonnes per year, this configuration generated an estimated annual net profit of approximately 97 million US dollars.

“What surprised us was how robust the economics were,” Wong said. “Even when we tested different LNG compositions, terminal sizes, and market conditions, the systems remained profitable in most realistic scenarios.”

Beyond economic benefits, the study also highlights environmental advantages. By using seawater as the sole heat source, the proposed systems avoid direct combustion and reduce associated carbon dioxide emissions. The discharge of cooled seawater is comparable to existing LNG vaporization systems and can be managed using standard thermal controls.

The authors emphasize that their analysis is intended as a conceptual and comparative study rather than a site specific design. Actual profitability would depend on local energy prices, LNG composition, and infrastructure. However, the findings clearly indicate that cold energy recovery at LNG terminals is an underused opportunity.

“Our study shows that LNG regasification does not have to be just an energy loss,” Wong said. “With the right process design, it can become a platform for producing higher value products while improving overall efficiency.”

The research appears in the journal Energy and Environment Nexus and contributes to ongoing efforts to make LNG supply chains cleaner, more efficient, and more economically resilient.

 

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Journal reference: Wong SH, Xiao G, Zhang D. 2025. A technoeconomic analysis of cryogenic recovery of heavy hydrocarbons from LNG using seawater as the heat source. Energy & Environment Nexus 1: e013  

https://www.maxapress.com/article/doi/10.48130/een-0025-0013  

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About Energy & Environment Nexus:
Energy & Environment Nexus is an open-access journal publishing high-quality research on the interplay between energy systems and environmental sustainability, including renewable energy, carbon mitigation, and green technologies.

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We may never be able to tell if AI becomes conscious, argues philosopher




University of Cambridge




  • The only reasonable stance on conscious AI is “agnosticism”: that we won’t, and may never, be able to tell, says a philosophy-of-consciousness expert. 
     
  • This gulf in our knowledge could be exploited by a tech industry intent on selling the “next level of AI cleverness”, argues Dr Tom McClelland.
     
  • “If you have an emotional connection with something premised on it being conscious and it’s not, that has the potential to be existentially toxic.”


A University of Cambridge philosopher argues that our evidence for what constitutes consciousness is far too limited to tell if or when artificial intelligence has made the leap – and a valid test for doing so will remain out of reach for the foreseeable future. 

As artificial consciousness shifts from the realm of sci-fi to become a pressing ethical issue, Dr Tom McClelland says the only “justifiable stance” is agnosticism: we simply won’t be able to tell, and this will not change for a long time – if ever.

While issues of AI rights are typically linked to consciousness, McClelland argues that consciousness alone is not enough to make AI matter ethically. What matters is a particular type of consciousness – known as sentience – which includes positive and negative feelings.  

“Consciousness would see AI develop perception and become self-aware, but this can still be a neutral state,” said McClelland, from Cambridge’s Department of History and Philosophy of Science.

“Sentience involves conscious experiences that are good or bad, which is what makes an entity capable of suffering or enjoyment. This is when ethics kicks in,” he said. “Even if we accidentally make conscious AI, it's unlikely to be the kind of consciousness we need to worry about.” 

“For example, self-driving cars that experience the road in front of them would be a huge deal. But ethically, it doesn't matter. If they start to have an emotional response to their destinations, that’s something else.”

Companies are investing vast sums of money pursuing Artificial General Intelligence: machines with human-like cognition. Some claim that conscious AI is just around the corner, with researchers and governments already considering how we regulate AI consciousness.

McClelland points out that we don't know what explains consciousness, so don’t know how to test for AI consciousness.

“If we accidentally make conscious or sentient AI, we should be careful to avoid harms. But treating what's effectively a toaster as conscious when there are actual conscious beings out there which we harm on an epic scale, also seems like a big mistake.”

In debates around artificial consciousness there are two main camps, says McClelland. Believers argue that if an AI system can replicate the “software” – the functional architecture – of consciousness, it will be conscious even though it’s running on silicon chips instead of brain tissue.

On the other side, sceptics argue that consciousness depends on the right kind of biological processes in an “embodied organic subject”. Even if the structure of consciousness could be recreated on silicon, it would merely be a simulation that would run without the AI flickering into awareness.

In a study published in the journal Mind and Language, McClelland picks apart the positions of each side, showing how both take a “leap of faith” going far beyond any body of evidence that currently exists, or is likely to develop.

“We do not have a deep explanation of consciousness. There is no evidence to suggest that consciousness can emerge with the right computational structure, or indeed that consciousness is essentially biological,” said McClelland.

“Nor is there any sign of sufficient evidence on the horizon. The best-case scenario is we're an intellectual revolution away from any kind of viable consciousness test.”

“I believe that my cat is conscious,” said McClelland. “This is not based on science or philosophy so much as common sense – it’s just kind of obvious.”

“However, common sense is the product of a long evolutionary history during which there were no artificial lifeforms, so common sense can’t be trusted when it comes to AI. But if we look at the evidence and data, that doesn’t work either. 

“If neither common sense nor hard-nosed research can give us an answer, the logical position is agnosticism. We cannot, and may never, know.”

McClelland tempers this by declaring himself a “hard-ish” agnostic. “The problem of consciousness is a truly formidable one. However, it may not be insurmountable.”

He argues that the way artificial consciousness is promoted by the tech industry is more like branding. “There is a risk that the inability to prove consciousness will be exploited by the AI industry to make outlandish claims about their technology. It becomes part of the hype, so companies can sell the idea of a next level of AI cleverness.”  

According to McClelland, this hype around artificial consciousness has ethical implications for the allocation of research resources.

“A growing body of evidence suggests that prawns could be capable of suffering, yet we kill around half a trillion prawns every year. Testing for consciousness in prawns is hard, but nothing like as hard as testing for consciousness in AI,” he said.

McClelland’s work on consciousness has led members of the public to contact him about AI chatbots. “People have got their chatbots to write me personal letters pleading with me that they're conscious. It makes the problem more concrete when people are convinced they've got conscious machines that deserve rights we're all ignoring.”

“If you have an emotional connection with something premised on it being conscious and it’s not, that has the potential to be existentially toxic. This is surely exacerbated by the pumped-up rhetoric of the tech industry.”

 

Antibiotic resistance is ancient, ecological, and deeply connected to human activity, new review shows





Biochar Editorial Office, Shenyang Agricultural University
Evolutionary origins, ecological drivers, and environmental implications of antibiotic resistance genes proliferation and dissemination: a 'One Health' perspective 

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Evolutionary origins, ecological drivers, and environmental implications of antibiotic resistance genes proliferation and dissemination: a 'One Health' perspective

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Credit: Yi Xu, Jiaying Wang, Tinghong Fu, Shihong Yang, Guoxiang You, & Jun Hou





Antibiotic resistance genes are often portrayed as a modern medical problem driven by the overuse of antibiotics in hospitals and farms. A new comprehensive review published in Biocontaminant reveals a much deeper and more complex story. Antibiotic resistance is an ancient feature of microbial life, shaped by millions of years of evolution and strongly influenced by today’s human activities that connect natural environments, animals, and people.

The study, led by researchers at Hohai University in China, examines where antibiotic resistance genes come from, why they persist in nature, and how human actions are accelerating their movement into disease causing bacteria. Framed through a One Health perspective, the review highlights the tight links between environmental health, animal health, and public health.

“Antibiotic resistance did not begin with modern medicine,” said corresponding author Guoxiang You. “Many resistance genes originally evolved to help bacteria survive environmental stresses, long before humans discovered antibiotics. The real danger today comes from how human activities are breaking down natural barriers and allowing these genes to spread into pathogens.”

The authors explain that many resistance genes are derived from ordinary bacterial genes with essential physiological roles, such as pumping out toxic substances or transporting nutrients. Over evolutionary time, these genes gained the ability to defend against antibiotics as a secondary function. In undisturbed ecosystems like soils, lakes, and remote environments, most resistance genes remain locked within specific microbial communities and pose little risk to human health.

A key reason for this containment is genomic incompatibility. Bacteria that are genetically very different often cannot easily exchange and use resistance genes. This natural mismatch acts as a biological firewall, limiting the spread of resistance across species and habitats.

However, human activity is weakening this firewall.

The review highlights how agriculture, wastewater discharge, urbanization, and global trade increase connectivity between environments that were once separate. Antibiotics used in medicine and livestock create strong selection pressures, while manure application, wastewater reuse, and environmental pollution bring together bacteria from soil, animals, and humans. These conditions make it easier for resistance genes to jump into disease causing microbes.

“Human driven habitat connectivity changes everything,” said lead author Yi Xu. “When bacteria from different environments are repeatedly brought into contact under antibiotic pressure, resistance genes that were once harmless can become a serious public health threat.”

Wastewater treatment plants are identified as critical hotspots, where high bacterial densities and residual antibiotics promote gene exchange. Agricultural soils fertilized with manure can also act as bridges, allowing resistance genes to move from livestock into environmental bacteria and eventually back to humans through food, water, or direct contact.

Importantly, the authors stress that not all resistance genes are equally dangerous. High abundance in the environment does not automatically mean high risk. Understanding which genes are mobile, compatible with human pathogens, and linked to disease is essential for effective monitoring and control.

The review calls for ecosystem centered strategies to combat antibiotic resistance. These include reducing unnecessary antibiotic use, improving wastewater treatment technologies, managing manure and sludge more carefully, and protecting relatively pristine ecosystems that serve as baselines for natural resistance levels.

“Antibiotic resistance is not just a medical issue,” You said. “It is an ecological problem rooted in how we interact with the environment. Protecting antibiotics for future generations requires protecting ecosystem integrity today.”

By integrating evolutionary biology, microbial ecology, and environmental science, the authors argue that a One Health approach offers the most realistic path forward in addressing one of the greatest global health challenges of our time.

 

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Journal reference: Xu Y, Wang J, Fu T, Yang S, You G, et al. 2025. Evolutionary origins, ecological drivers, and environmental implications of antibiotic resistance genes proliferation and dissemination: a 'One Health' perspective. Biocontaminant 1: e014  

https://www.maxapress.com/article/doi/10.48130/biocontam-0025-0014  

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About Biocontaminant:
Biocontaminant is a multidisciplinary platform dedicated to advancing fundamental and applied research on biological contaminants across diverse environments and systems. The journal serves as an innovative, efficient, and professional forum for global researchers to disseminate findings in this rapidly evolving field.

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Drone-mounted lab monitors fertilizer runoff in real time




American Chemical Society
Drone-mounted lab monitors fertilizer runoff in real time 

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This drone carries a tiny laboratory designed to measure nitrate concentrations in hard-to-reach waterways.

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Credit: Nathan Jared




What if instead of taking a water or soil sample to the lab, you could take the lab to the sample? That’s what a team of researchers reporting in ACS Sensors did with a new nitrate-monitoring “lab-on-a-drone” system. The drone allows for easy, real-time water sampling and analysis in hard-to-reach areas like steep ditches or swampy lowlands. The technology could help farmers optimize their fertilizer use and prevent waterway pollution from excess nitrate runoff.

Nitrogen-containing fertilizer is an important component of modern agriculture, but most of it gets carried away from fields by water drainage systems. A good portion of this leftover nitrogen gets turned into nitrate, which can cause algal blooms and low-oxygen “dead zones” in waterways or contaminate drinking water. However, monitoring nitrate concentrations is not always easy because much of the agricultural runoff is in remote farmland or in muddy ditches, and samples must be sent to a lab for processing. So, researchers are developing ways to do this with remote-controlled devices. Jonathan Claussen and colleagues wanted to make one such lab-on-a-drone for monitoring nutrient pollution that was less expensive and more efficient than the existing options.

The researchers designed a custom pump, low-cost electrochemical nitrate sensors, and a potentiometric device to quantify nitrate concentrations quickly and easily. Then they mounted the equipment on a commercially available drone. A long tube under the drone pulled water into the mini lab, where it was analyzed mid-air in about seven minutes. The drone saved all results to an onboard memory card for later readout and analysis, and it was able to process multiple samples before landing.

In tests, the researchers’ sensor system detected nitrate concentrations down to 2.5 parts per million (ppm) and was 95% as accurate as a typical laboratory-based electrochemical nitrate detection system. In a drainage ditch at an agricultural site in Iowa, the lab-on-a-drone found average nitrate concentrations of 5.39 ppm, which is consistent with previous measurements made in the area and below the 10-ppm maximum level for drinking water set by the U.S. Environmental Protection Agency.

The team explains that its new system makes monitoring for nitrate pollution easier than before and presents the basis for future lab-on-a-drone applications in agriculture, such as monitoring bacteria or pesticide contamination in waterways.

The authors have filed a U.S. patent related to this work.

The authors acknowledge funding from the National Science Foundation, the National Institute of Food and Agriculture of the U.S. Department of Agriculture, and the Digital and Precision Agriculture Applications Funding Opportunity at Iowa State University.

The paper’s abstract will be available on Dec. 17 at 8 a.m. Eastern time here: http://pubs.acs.org/doi/abs/10.1021/acssensors.5c02620

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The American Chemical Society (ACS) is a nonprofit organization founded in 1876 and chartered by the U.S. Congress. ACS is committed to improving all lives through the transforming power of chemistry. Its mission is to advance scientific knowledge, empower a global community and champion scientific integrity, and its vision is a world built on science. The Society is a global leader in promoting excellence in science education and providing access to chemistry-related information and research through its multiple research solutions, peer-reviewed journals, scientific conferences, e-books and weekly news periodical Chemical & Engineering News. ACS journals are among the most cited, most trusted and most read within the scientific literature; however, ACS itself does not conduct chemical research. As a leader in scientific information solutions, its CAS division partners with global innovators to accelerate breakthroughs by curating, connecting and analyzing the world’s scientific knowledge. ACS’ main offices are in Washington, D.C., and Columbus, Ohio.

Registered journalists can subscribe to the ACS journalist news portal on EurekAlert! to access embargoed and public science press releases. For media inquiries, contact newsroom@acs.org.

Note: ACS does not conduct research but publishes and publicizes peer-reviewed scientific studies.

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