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National Korea Maritime & Ocean University Researchers Develop a New Control Method That Optimizes Autonomous Ship Navigation
The novel method accounts for the dynamic conditions in a real sea that affect the manoeuvring performance of autonomous shipsExisting ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, in a new study, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea. Image title: Time-Optimal Control Method For MASSImage caption: This innovative control method accounts for the wave loads present in real sea conditions that affect the manoeuvring performance of autonomous ships, providing an optimized controller for time-efficient navigation.Image credit: Daejeong Kim from Korea Maritime The study of ship manoeuvring at sea has long been the central focus of the shipping industry. With the rapid advancements in remote control, communication technologies and artificial intelligence, the concept of Maritime Autonomous Surface Ships (MASS) has emerged as a promising solution for autonomous marine navigation. This shift highlights the growing need for optimal control models for autonomous ship manoeuvring.Designing a control system for time-efficient ship manoeuvring is one of the most difficult challenges in autonomous ship control. While many studies have investigated this problem and proposed various control methods, including Model Predictive Control (MPC), most have focused on control in calm waters, which do not represent real operating conditions. At sea, ships are continuously affected by different external loads, with loads from sea waves being the most significant factor affecting manoeuvring performance.To address this gap, a team of researchers, led by Assistant Professor Daejeong Kim from the Division of Navigation Convergence Studies at the Korea Maritime At the heart of this innovative control system is a comprehensive mathematical ship model that accounts for various forces in the sea, including wave loads, acting on key parts of a ship such as the hull, propellers, and rudders. However, this model cannot be directly used to optimise the manoeuvring time. For this, the researchers developed a novel time optimisation model that transforms the mathematical model from a temporal formulation to a spatial one. This successfully optimises the manoeuvring time.These two models were integrated into a nonlinear MPC controller to achieve time-optimal control. They tested this controller by simulating a real ship model navigating in the sea with different wave loads. Additionally, for effective course planning and tracking researchers proposed three control strategies: Strategy A excluded wave loads during both the planning and tracking stages, serving as a reference; Strategy B included wave loads only in the planning stage, and Strategy C included wave loads in both stages, measuring their influence on both propulsion and steering.Experiments revealed that wave loads increased the expected manoeuvring time on both strategies B and C. Comparing the two strategies, the researchers found strategy B to be simpler with lower performance than strategy C, with the latter being more reliable. However, strategy C places an additional burden on the controller by including wave load prediction in the planning stage.“Our method enhances the efficiency and safety of autonomous vessel operations and potentially reduces shipping costs and carbon emissio
2024.03.12
PR Team
National Korea Maritime and Ocean University Researchers Explore the Impact of Microplastics and Toxin Exposure on Goldfish
While microplastics and benzo[α]pyrene individually induce stress in goldfish, their combined impact leads to increased stress and DNA damage Microplastic particles can travel long distances in oceans and are known to carry with them harmful and persistent organic pollutants like benzo[α]pyrene (BaP), a polycyclic aromatic hydrocarbon. Now, scientists from Korea have studied the individual and synergistic impact of microplastic and BaP exposure on Carassius auratus, a type of goldfish found in freshwater ecosystems. Their findings reveal heightened stress responses, increased DNA damage, and liver abnormalities in goldfish, highlighting a serious consequence of environmental pollution. Image title: Investigating the Combined Effects of Microplastic Pollution and Toxic Polycyclic Aromatic Hydrocarbon Exposure on GoldfishImage caption: Microplastics can act as carriers of toxic chemicals such as benzo[a]pyrene (BaP) as they travel long distances in aquatic environments. These pollutants can have detrimental effects on wildlife, including disrupted stress response, bioaccumulation, and carcinogenicity. When marine life is exposed to both microplastics and toxic chemicals like BaP, these negative effects are significantly amplified, leading to more severe impacts on the health of aquatic organisms. Image credit: Cheol Young Choi from Korea Maritime and Ocean UniversityLicense type: Original ContentUsage restrictions: Cannot be reused without permissionThe presence of plastics in our oceans and waterbodies is one of the most significant threats to marine ecosystems. In 2022, plastic production exceeded 400 million tons globally, and this number continues to rise. The presence of microplastics, ranging in size from 100 nanometers to 5 millimeters, is particularly concerning. Owing to their small size, they can travel long distances in the oceans and can easily be ingested by a wide range of marine organisms, resulting in their accumulation in the food chain. Another aspect of microplastic pollution, often overlooked but equally dangerous, is their ability to absorb and carry harmful chemicals, such as persistent organic pollutants. Benzo[α]pyrene (BaP) classified as a polycyclic aromatic hydrocarbon, stands out as a pollutant with significant concern. Produced as a byproduct of fuel and combustion processes, previous studies have reported BaP to be responsible for the induction of physiological stress and DNA damage in fish and other marine organisms. Moreover, its slow degrading ability and carcinogenicity adds to its worrisome nature. On being carried along with microplastics, which tend to act as carriers of pollutants owing to their hydrophobic surfaces, their accumulation in aquatic ecosystems can lead to enhanced toxicity in organisms who absorb these chemical substances. Understanding the extent of toxicity and threat posed by the combined impact of exposure to microplastics and other pollutants is, therefore, important. In a recent study now, researchers led by Dr. Cheol Young Choi from National Korea Maritime and Ocean University explored the impact of microplastic and BaP exposure on freshwater goldfish (Carassius auratus), who were exposed to BaP and microplastics individually and in combination, to understand their exposure effects. Their findings, made available online on June 30, 2023 and published in Volume 271 of Comparative Biochemistry and Physiology Part C: Toxicology Elaborating further on their study, Dr. Choi explains, “When faced with harmful pollutants, organisms undergo a stress response for survival. In fish, we witness this through the activation of their stress regulating axis, the hypothalamus-pituitary-interrenal axis, and the release of hormones like cortisol. While this response is e
2023.12.21
PR Team
Korea Maritime & Ocean University Researchers Develop a New Method for Path-Following Performance of Autonomous Ships
The developed computational fluid dynamics model can lead to more accurate predictions of path-following performance With recent requirements for reducing greenhouse gas emissions of autonomous ships, an emerging body of research is focused on assessing the path-following performance of maritime autonomous surface ships (MASS) at low speeds under adverse weather conditions. To combat the poor accuracy of traditional methods, in a new study, researchers investigated the path-following performance of MASS using a free-running computational fluid dynamics model. Their findings can help ensure safer autonomous navigation with reduced propulsion power. Image title: Analyzing the Path-Following Performance of Autonomous Ships Using a Computational Fluid Dynamic (CFD) Model Image caption: Traditional models for analyzing the path-following performance of autonomous ships can lead to inaccurate predictions. CFD models can lead to more accurate assessment and therefore lead to safer autonomous navigation. Image credit: Daejeong Kim from Korea Maritime The rising popularity of autonomous vehicles has spurred significant research interest in the maritime industry, particularly for the development of maritime autonomous surface ships (MASS). An essential requirement of MASS is the ability to follow a pre-determined path at sea, considering factors such as obstacles, water depth, and ship maneuverability. Any deviation from this path, say, due to adverse weather conditions, poses serious risks like collision, contact, or grounding incidents. It is thus desirable for autonomous ships to have a mechanism in place for effectively resisting deviations. Current methods for assessing the path-following performance of autonomous ships, however, rely on simplified mathematical ship models. Unfortunately, these models are unable to capture the complicated interactions between the hull, propeller, rudder, and external loads of ships, leading to inaccurate estimates of path-following performance. Furthermore, in response to the International Maritime Organization’s Energy Efficiency Design Index to reduce greenhouse gas emissions, the Marine Environment Protection Committee has provided guidelines to determine the minimum propulsion power required to maintain ship maneuverability in adverse weather conditions. In light of these guidelines and the need for assessing path-following performance, a multinational team of researchers, led by Assistant Professor Daejeong Kim from the Division of Navigation Convergence Studies at the National Korea Maritime The team employed the CFD-based analysis on the popular KRISO container ship model equipped with the autonomous LOS guidance system. The adverse weather conditions were modeled as disturbances from the bow, beam, and quartering sea waves, and these three cases were studied at three different speeds to identify the effect of forward speeds on the path-following performance. Simulations revealed that the ship experienced oscillatory deviations in all the three cases. In the case of the bow and beam waves, these deviations decreased with an increase in propulsion power. Interestingly, in the case of quartering waves, there was a negligible effect of propulsion power on the deviations. Additionally, the heave and pitch responses of the ship were heavily influenced by the direction of the incident waves. Furthermore, in all three cases, the roll amplitudes were consistently below 1.5 degrees. However, the team could not ascertain the effectiveness of increasing speed in improving path-following performance.
2023.12.20
PR Team
KMOU Scientist Highlight Limitations in the Design Guidelines for Liquid Cargo Tanks
Current methodologies misrepresent the sloshing phenomenon, which is critical in the maritime transport of liquid hydrogen and liquefied natural gas. The sloshing around of liquid fuels when transported in tanks represents a crucial design consideration for large cargo ships. Recently, scientists from Korea have revealed that the design parameters specified in current guidelines may not accurately represent this phenomenon. Their findings will hopefully lead to a revision of these guidelines and pave the way for safer and more efficient transportation technologies for clean fuels, including hydrogen and liquefied natural gas. Image title: Reviewing current design guidelines for liquid cargo tanks. Image caption: In maritime transport, the sloshing of liquid fuels in storage tanks must be seriously considered to prevent problems, such as structural failure and capsizing. However, detailed fluid dynamics simulations reveal that current design parameters do not accurately reflect the sloshing phenomenon. Image credit: Hyun-Duk Seo from KMOU License type: Original Content Usage restrictions: Cannot be reused without permission. Many countries around the world are starting to gravitate towards clean energy sources and more eco-friendly fuels, such as hydrogen and natural gas. When transported overseas by cargo ships, these fuels are maintained in their liquid state within large tanks. Carrying them as liquids is not only safer but also more efficient in terms of energy and space. However, there is an important phenomenon that ship designers and engineers should never ignore: sloshing. When a tank carrying a liquid is only partially filled, changes in the speed and direction of the ship cause the liquid to move back and forth, much like coffee does when the cup holding it is moved suddenly. This sloshing motion can exert great pressure on the tank’s structure and create large weight shifts, which can lead to toppling. To prevent such problems, national and international maritime organizations have provided guidelines known as “classification rules,” which provide methods for calculating sloshing loads based on a series of design parameters. However, according to a recent study conducted by researchers from Korea, these guidelines may be suffering from some serious limitations. By leveraging advanced fluid dynamics simulations, Assistant Professor Hyun-Duk Seo from Korea Maritime and Ocean University and Dr. Jae-Min Lee from Chonnam National University have investigated whether the parameters considered in classification rules adequately represent the sloshing phenomenon. Their study was made available online on July 17, 2023, and published in a Special Collection of the journal Physics of Fluids on Recent Advances in Marine Hydrodynamics. The researchers employed a technique known as smoothed particle hydrodynamics, which represents a fluid as a collection of individual particles. Using this method, they conducted several simulations involving different tank sizes, loads, and bulkheads―internal walls with holes used to create partitions inside tanks, which helps minimize sloshing. Interestingly, the simulations revealed many aspects of sloshing that the design parameters specified in classification rules failed to represent accurately. Notably, bulkheads having different hole geometries but yielding the same parameter values resulted in considerably different liquid surface profiles, pressure distributions, and fluid velocities. “Based on the obtained results, it is evident that the classification rules do not consider the impact of the design parameters in sufficient detail,” highlights Dr. Seo. “Therefore, it is necessary to revise these guidelines so that they address these limitations and ensure the reliable design of liquid cargo tanks.” Further work will be needed to incorporate these newfound insights into current design methodologies for liquid cargo tanks. This, in turn, would not only help prevent catastrophic accidents but would also lead to optimal tank designs to make maritime transport cheaper. Dr. Seo highlights: “Our research will pave the way to a better understanding of existing classification rules and their limitations. Ultimately, we aim to contribute to the development of cost-eff
2023.11.14
PR Team
KMOU Researchers Propose an Organic-Solvent-Free Method for Producing Nanosized Vaterite
KMOU Researchers Propose an Organic-Solvent-Free Method for Producing Nanosized Vaterite The researchers used indirect carbonation to synthesize vaterite particles as small as 683 nanometers, suitable for pharmaceuticals and cosmeticsNanosized vaterite has promising applications in pharmaceuticals and cosmetics due to its biocompatibility, porosity, and solubility. However, its mass production is difficult, generates substantial waste, and requires toxic organic solvents. Now, researchers from Korea have developed a three-stage process for synthesizing nanosized vaterite particles with the help of seawater, sucrose, ultrasonication, and aging. This method eliminates the need for organic solvents and represents an environmentally friendly and cost-effective approach for their synthesis. Image title: Seawater-based ecofriendly synthesis of nanosized vaterite particlesImage caption: Researchers from Korea propose a three-stage process for the synthesis of nanosized vaterite that avoids the use of toxic organic solvents and produces 683-nm-sized vaterite particles with 100% calcium carbonate content.Image credit: Myoung-Jin Kim from Korea Maritime Vaterite is one of the three forms of calcium carbonate, along with calcite and aragonite. Nanosized vaterite is valuable for various applications, such as drug delivery, cosmetics, and bone defect filling, owing to its biocompatibility, high porosity, solubility, and large specific surface area. Vaterite is not commonly found in nature as it transforms into calcite over time. In laboratory settings, organic solvents are used to prevent its recrystallization and hinder particle growth. However, the solvents are expensive, highly toxic, and generate significant waste, making them harmful both to humans and the environment. Therefore, there is an urgent need for a method that circumvents these challenges, is cost-effective, and results in environmentally friendly synthesis of vaterite. Addressing these concerns associated with vaterite production, a team of researchers from Korea Maritime Speaking about the method developed by them, Prof. Kim says, “The entire process comprises of three stages: calcium elution, carbonation, and aging.” In the calcium elution stage, a solution containing seawater and sucrose is mixed with calcium oxide. The magnesium ions present in seawater facilitate the dissolution of calcium into the solution, leading to the release of free Ca2+ ions. Sucrose forms a complex with Ca2+ ions. The eluted Ca2+ ions are then reacted with injected carbon dioxide in the carbonation stage, resulting in the formation of calcium carbonate (CaCO3) as a solid precipitate. The growth of the CaCO3 particles is subsequently suppressed by ultrasonic vibrations generated by a sonifier. Subsequently, the mixture undergoes aging, where CaCO3 particles are further reduced in size, resulting in the formation of nanosized vaterite.
2023.10.31
PR Team
KMOU Researchers Propose a Novel Liquid Filter for Enhanced Solar Energy Utilization
The innovative emulsion filter improves the energy harvesting capabilities of de-coupled photovoltaic-thermal systems De-coupled photovoltaic-thermal systems utilize liquid filters to absorb non-effective wavelengths, such as ultraviolet, visible light, and near-infrared. However, water, a popular filter, cannot effectively absorb ultraviolet rays, which limits system performance. To address this, researchers from Korea have introduced a novel emulsion filter which facilitates the conversion of solar energy into electricity and thermal energy simultaneously with an unprecedented 84.4% efficiency.Image title: A novel emulsion liquid filter for de-coupled photovoltaic-thermal systems. Image caption: The proposed filter based on a mixture of water and fish oil facilitates the conversion of sunlight into electricity and thermal energy at a remarkable 84.4% efficiency. Image credit: Dr. Jae Won Lee from Korea Maritime Photovoltaic (PV) modules are devices that convert sunlight into electrical energy. However, they suffer from a low conversion efficiency of around 20% because they can only convert near-infrared wavelengths into electricity, while other wavelengths simply heat up the PV module, reducing its efficiency. To counter this, scientists have developed photovoltaic-thermal (PVT) systems, in which the generated heat is carried away by a heat exchanger containing a coolant fluid (air or liquid). This, in turn, cools down the PV module, increasing its efficiency. Moreover, the captured heat can be utilized in the form of thermal energy. To further enhance the cooling effect of PV modules and harvest thermal energy, de-coupled PVT systemsequipped with liquid filtershave been devised. These filters, placed over PV modules, capture specific wavelengths of sunlight that contribute minimally to electricity generation, including ultraviolet (UV), visible light, and near-infrared,facilitating their conversion into thermal energy for various applications. However, water, a popular liquid filter, cannot absorb UV rays. Now, a team of researchers, led by Assistant Professor Jae Won Lee from Korea Maritime “Most liquid filters use either water or a mixture of water and solid nanoparticles to absorb the unused wavelengths of solar irradiance. However, water only absorbs the infrared portion of sunlight with wavelengths exceeding 1250 nm. Solid nanoparticles, on the other hand, tend to settle over time, which diminishes their efficiency,” points out Dr. Lee. In contrast, the proposed emulsion remains stable at high temperatures of up to 70 °C. Furthermore, the oil droplets within the emulsion are effective at absorbing UV light with wavelengths below 500 nm. The presence of the emulsion filter significantly improved the conversion efficiency and lowered the operating temperature compared to systems with heat exchangers alone. The efficiency increased from 70.9% to 84.4%, while the temperature decreased from 46.7 °C to 33.1 °C. The researchers found that, under a standard solar irradiance of 1000 W/m², the de-coupled PVT system with emulsion filter produced electrical and thermal energies amounting to 72.2 Wh and 1176.7 Wh per day, respectively. This proved to be economically beneficial, with a lower cost payback time than both PVT systems and de-coupled PVT systems with water filter. The proposed system can even be operated under specific requirements and environmental condi
2023.09.18
PR Team
KMOU Researchers Develop a Novel Algorithm for Mitigating COVID-19 Spread in Ships
Researchers develop a close contact identification algorithm for effectively tracking and physically isolating individuals in confined environments The confined environment in ships pose a serious challenge for containing the spread of COVID-19. Currently, tracking and physical isolation of affected passengers are used to prevent the spread of the virus. To further this end, researchers have developed a novel close contact identification algorithm that effectively identifies close contacts between individuals by calculating the probability density of each user location point. This, in turn, could enable technologies for preventing disease outbreaks in the future. Image title: Close contact identification algorithm (CCIA) for tracking ship passengers.Image caption: Researchers from KMOU have developed a novel algorithm that determines the Euclidean distance between user location points to effectively identify close contacts in confined environments (such as in ships), facilitating the tracking and isolation of potential virus spreaders.Image credit: Professor Jooyoung Son from Korea Maritime and Ocean UniversityLicense type: Original ContentUsage restrictions: Cannot be reused without permissionThe COVID-19 pandemic has drastically affected human lives and the global economy. In particular, cruise ship companies around the world are among the worst hit industries, with ships becoming a hotbed of viral infection owing to their confined environment. With the economy slowly recovering in the post COVID-19 period, ship companies hope to return to normal operations by adopting a sustainable management model that prioritizes the health of ship passengers. However, the close-quartered environment in ships pose a significant challenge for virus containment. Tracking and physical isolation of infected passengers remains the standard protocol for preventing the spread of virus. Unfortunately, an effective identification of individuals in close contacts, who have potentially been exposed to the virus and can spread it, remains challenging. Now, Mr. Qianfeng Lin, a Ph.D. candidate at the Department of Computer Engineering at Korea Maritime and Ocean University (KMOU), and Professor Jooyoung Son from the Division of Marine IT Engineering at KMOU have developed a novel close contact identification algorithm (CCIA) that enables an accurate identification of close contacts. Their work was made available online on 25 April 2023 and published in Volume 35, Issue 6 of the Journal of King Saud University - Computer and Information Sciences in 01 June 2023.“Through our research, we aim to provide a technology-driven solution to this challenge and contribute to the health and safety of the maritime industry,” explains Mr. Lin.CCIA utilizes a statistical method, called “Kernel Density Estimation,” to calculate the probability density of each user location point. This density is then used as the weight of each user location point. The center of these location points, which form a cluster, are then calculated based on each location point and its corresponding weight. Next, CCIA determines the maximum Euclidean distance between the location points in each user cluster, denoted m. For any two clusters in which the Euclidean distance between their centers is less than m, CCIA merges them. As a result, the number of clusters that remain in the end can be used to accurately identify close contacts, facilitating their effective tracking and isolation within ship environments.The researchers next conducted close contact tracing experiments on the HANNARA ship, a training vessel for KMOU. To their delight, they found that CCIA outperformed conventional clustering algorithms, such as Kmeans, Hierarchical, and DBSCAN, which cannot calculate the probability density of each location point. Moreover, although CCIA has been primarily developed to offer a customized solution to the maritime industry, it could potentially be applied to other m
2023.08.25
PR Team
KMOU Scientists Develop an Energy-Efficient Wireless Power and Information Transfer System
The new framework for solving the energy efficiency problem outperforms state-of-the-art systemsSimultaneous wireless information and power transfer (SWIPT)-aided nonorthogonal multiple access (NOMA) system, used for communication in the Industrial Internet of Things (IIoTs), suffers from significant energy loss with transmission distance. Now, researchers from Korea have developed an energy-efficient framework by applying SWIPT-NOMA to a distributed antenna system. This technology is expected to pave the way for more efficient and optimized IoT environments. Image title: Novel SWIPT-NOMA-DAS frameworkImage caption: The SWIPT-NOMA-DAS framework is five times more efficient than SWIPT-NOMA without DAS and performs 10% better than SWIPT-OMA-DAS, a significant boost for the IoT communications technology.Image credit: Associate Professor Dong-Wook Seo from Korea Maritime and Ocean UniversityLicense type: Original ContentUsage restrictions: Cannot be reused without permissionIndustrial Internet of Things (IIoTs) refers to a technology that combines wireless sensors, controllers, and mobile communication technologies to make every aspect of industrial production processes intelligent and efficient. Since IIoTs can involve several small battery-driven devices and sensors, there is a growing need to develop a robust network for data transmission and power transfer to monitor the IIoT environment. In this regard, wireless power transfer is a promising technology. It utilizes radio frequency signals to power small devices that consume minimal power. Recently, simultaneous wireless information and power transfer (SWIPT), which utilizes a single radio frequency signal to simultaneously perform energy harvesting and information decoding, has attracted significant interest for IIoTs. Additionally, with smart devices rapidly growing in number, SWIPT has been combined with nonorthogonal multiple access (NOMA) system, which is a promising candidate for IIoTs due to their ability to extend the battery life of sensors and other devices. However, the energy efficiency of this system falls significantly with transmission distance from the central controller.To overcome this limitation, a team of researchers from South Korea, led by Associate Professor Dong-Wook Seo from the Division of Electronics and Electrical Information Engineering at Korea Maritime and Ocean University, has developed a new framework by applying SWIPT-aided NOMA to a distributed antenna system (DAS), significantly improving the energy and spectral efficiencies of IIoTs. “By applying a DAS with supporting antennas relatively close to edge users alongside a central base station, SWIPT-NOMA’s loss with growing distance can be reduced efficiently. This improves information decoding and energy harvesting performance,” explains Dr. Seo. Their study was made available online on 27 October 2022 and published in Volume 19, Issue 7 of the journal IEEE Transactions on Industrial Informatics in 01 July 2023.The researchers formulated a three-step iterative algorithm to maximize the energy efficiency of the SWIPT-NOMA-DAS system. They first optimized the power allocation for the central IoT controller. After that, the power allocation for NOMA signaling and power splitting (PS) assignment for SWIPT were optimized jointly, while minimizing the data rates and harvested energy requirements. Finally, the team analyzed an outage event in which the system cannot provide sufficient energy and data rates, thereby extending the joint power allocation and PS assignment optimization method to the multi-cluster scenario.They validated their algorithm through extensive numerical simulations, finding that the proposed SWIPT-NOMA-DAS system is five times more energy efficient than SWIPT-NOMA without DAS. Also, it shows a more than 10% improvement in performance over SWIPT-OMA-DAS.
2023.08.24
PR Team
Korea Maritime and Ocean University Researchers Lay out Strategies for Up-scaling of Bioelectrochemical Systems
Researchers summarize effective strategies to up-scale and commercialize bioelectrochemical systems for recovering valuable resources from waste organic matter.With rising concerns about energy and water management, microbial electrochemical technologies (METs), such as microbial fuel cells, have emerged as promising solutions. However, actual progress in these technologies have not lived up to the expectations so far. Now, in a new study, researchers from Korea, India, UAE, and Turkey have highlighted strategies that can help with the up-scaling of METs, eventually leading to their commercialization and widespread use.Image title: Scaling-up of bioelectrochemical systems for industrial applications.Image caption: Researchers from KMOU have published a study reviewing effective strategies and the need for normalization of performance indices that can help in the up-scaling of bioelectrochemical systems, taking us one step closer to the practical applicability of these technologies. Image credit: Dr. Dipak A. Jadhav from KMOU, KoreaLicense type: Original contentUsage restrictions: Cannot be reused without permissionMicrobial electrochemical technologies (METs) have recently emerged as a tool for recovering bioenergy and bio-resource from organic waste matter. This can help with long-term energy generation during wastewater treatment. METs, commonly expressed as bioelectrochemical systems (BES), offer maximum resource and energy recovery with minimum energy investment. However, there is currently a mismatch between expectations and actual progress in BES technologies due to a lack of reproducible and statistical data, which hinders their scalability and, in turn, commercialization.Set against this backdrop, an international team of researchers, led by Dr. Dipak Jadhav and Prof. Kyu-Jung Chae from Korea Maritime and Ocean University (KMOU), has now published a study in Bioresource Technology Journal addressing this issue. The study was made available online on September 10, 2022, and was published in Volume 363 of the journal in November 1, 2022.“For industrial applications, the scaling up of bioelectrochemical system is an important concern before moving ahead with their commercialization. Our study provides strategies that can be adopted to achieve this end,” explains Dr. Jadhav. “Such a technology will be a value addition for the recovery of resources including biohydrogen, electricity, industrial chemicals.” On this front, a review of recent research revealed the need for a systematic rethinking of net energy recovery, resource yield, and current production, with a focus on sustainability and energy marketability, for the scaling-up of METs. The most important need identified was the standardization of performance indices, which helps assess the performance of various BES. Additionally, the team proposed a single frame for normalization methods to allow for precise data comparison to existing treatments. These technological implementations, the study suggests, will effectively address the existing concerns with BES. This, in turn, would help attract the business market, stakeholders, and investors, paving the way for their commercialization. “We expect that, based on our highlighted strategies for up-scaling BES technologies, we can harness their potential for resource recovery by converting the chemical energy of wastewater into valuable resources during on-site treatment at an efficiency that is comparable with conventional methods,” concludes an optimistic Prof. Kyu-Jung Chae.And we hope his visions are not far from being realized!
2023.01.16
PR Team
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