Dear Clients and Partners,
In this June edition, we would like to introduce the Zero-Emission AI Solution Project, currently underway to achieve carbon neutrality in industrial sites. We also share insights Spacebank as we shape the future of AI and digital transformation, including the story of the 'SDR-based Physical AI Strategy for Defense AX' recently shared at the Defense AI Leadership Course.
Join us as we explore how Spacebank continues to shape the future of AI and digital transformation.๐ฟ
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Spacebank, your โIntelligent Digital Transformation (AI DX) Partner" delivers a monthly newsletter. ๐ฉ |
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ย ย ย [Preview] This Monthโs Key Contents at a Glance
ย ย ย ๐ Zero-Emission AI Project for Carbon-Neutral Power Generation
ย ย ย ๐ Creating Safer Care Environments with AI: Spacebank's HumanCare Solution
ย ย ย ๐ Physical AI Strategies Shared with Defense AI Leaders |
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Zero-Emission AI Project for Carbon-Neutral Power Generation |
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Spacebank is conducting a Zero-Emission AI solution project in collaboration with EMKO and Korea Southern Power to reduce nitrogen oxide (NOx) emissions from combined cycle power plants.
In this project, Spacebank is playing the role of the power plant's "AI brain."
By analyzing various operational data generated at the power plant in real time, it predicts future NOx concentrations and calculates the optimal ammonia injection amount to most effectively reduce pollutants.
In other words, AI supports data-driven decision-makingโwhich previously relied on operator experienceโto help enable more accurate and efficient power plant operations!
In particular, by applying Spacebank's AI platform, SPIDER Wright, it predicts pollutant emissions in advance and proposes optimal operational strategies, thereby supporting cleaner and more efficient power plant operations.
Let's take a closer look at how the Zero-Emission AI Project is helping power plants move toward a more sustainable future.
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๐กWhy Is Zero-Emission AI Necessary?
Combined cycle power plants generate air pollutants known as nitrogen oxides (NOx) during the electricity production process. To reduce this, facilities that inject ammonia to remove pollutants are currently in operation.
However, there have been limitations, such as increased operating costs, as pollutant reduction efficiency drops depending on the power plant's operating conditions or ammonia is used in excess of what is necessary.
Furthermore, in accordance with the government's carbon neutrality policy, "hydrogen co-firing," which uses hydrogen alongside fuel, is scheduled to expand in the future. Since the use of hydrogen can actually increase nitrogen oxide emissions, it is difficult to meet stricter environmental standards using only existing methods.
However, replacing all existing facilities would require massive costs and a long construction period. Therefore, there is a need for smart technology that can reduce pollutants more effectively while maximizing the use of current facilities. Spacebank's Zero-Emission AI solution is being developed precisely to address these challenges.
๐กThe Zero-Emission AI Solution Project
Although we operate Selective Catalytic Reduction (SCR) systems that inject ammonia to reduce nitrogen oxides (NOx) generated during the electricity production process, there were limitations such as reduced efficiency or excessive ammonia consumption depending on operating conditions.
To overcome these limitations, Spacebank has applied its proprietary AI platform, SPIDER Wright. We are developing an intelligent predictive control system in which AI predicts nitrogen oxide (NOx) concentrations in advance based on real-time operation data from the power plant's DCS and automatically calculates the optimal amount of ammonia to inject.
The goal is to develop next-generation Zero-Emission technology that can drastically reduce NOx emissions to zero by integrating AI into existing denitrification devices and enable a transition to hydrogen co-firing power generation in the future.
๐กSPIDER Wright: AI-Powered Emissions Optimization
Spacebankโs AI DX platform, SPIDER Wright, analyzes various operational data generated at power plants in real time to predict future nitrogen oxide (NOx) concentrations.
Based on these predictions, it automatically calculates the optimal amount of ammonia to inject to most effectively reduce pollutants and notifies the operator. Thanks to this, power plants can reduce pollutant emissions while minimizing the use of unnecessary chemicals.
Currently, the AI model has achieved a high accuracy of 1.69 ppm in NOx prediction and demonstrates excellent performance in actual power plant environments
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๐กIntegrated Dashboard Displaying Power Plant Status at a Glance
The solution also provides a comprehensive monitoring dashboard that consolidates AI predictions and operational information into a single interface. Operators can monitor:
- ย Real-time NOx concentration trends
- ย AI prediction results
- ย Ammonia injection levels
- ย Equipment status and performance metrics
Long-term operational data analysis also enables predictive maintenance by forecasting catalyst degradation and identifying optimal maintenance timing.
This contributes to more efficient plant operation, reduced downtime, and improved overall performance.
๐กEMKO's Zero-Emission Technology Enhances Pollutant Reduction Efficiency
EMKO is developing catalytic systems to more effectively remove nitrogen oxides (NOx) generated from power plants.
Previously, ammonia was injected from only one direction, but for this project, we improved the injection method to allow ammonia to mix more evenly with the exhaust gases. Thanks to this, we were able to create an environment where the catalyst can operate more efficiently.
In addition, by applying a two-stage catalytic system, we enhanced the performance of converting nitrogen oxides into nitrogen (Nโ) and water (HโO), which are harmless to humans and the environment.
In simple terms, EMKO is enhancing the performance of pollutant removal equipment, while Spacebank is playing the role of supporting its operation more intelligently through AI. ๐ค
"EMCO is increasing the efficiency of pollutant removal equipment, and Spacebank is using AI to find the optimal operating methods; the two companies are jointly pursuing the development of Zero-Emission technology."
๐กProject Progress and Achievements To Date
The project is currently progressing smoothly.
The AI model has demonstrated high predictive performance by achieving a Mean Absolute Error (MAE) of 1.69 ppm for NOx prediction accuracy during gas turbine operation. Furthermore, we are establishing an integrated monitoring environment that collects and analyzes power plant operation data in real time, allowing operators to check the status at a glance.
In parallel, Spacebank is building an integrated monitoring environment that collects and analyzes plant operational data in real time, enabling operators to visualize plant conditions at a glance.
The project is expected to deliver:
โข Improved NOx reduction efficiency
โข Optimized ammonia consumption
โข Enhanced operational efficiency
Beyond environmental improvements, this project represents a significant step toward establishing an AI-driven power plant operating framework.
It is expected to become a key enabling technology for future hydrogen co-firing power generation and increasingly stringent environmental regulations.
As more operational data continues to accumulate, Spacebank plans to further improve AI model accuracy and predictive control performance.
Supporting carbon neutrality and the transition to eco-friendly energy in industrial sites through AI and data technologyโthat is the future Spacebank is creating. Moving forward, Spacebank will continue to take on new challenges in the fields of AI, data, robot DX, and Physical AI, driving innovation in industrial settings.
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Creating Safer Care Environments with AI |
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The Story of Spacebank's HumanCare Solution.
Currently, Spacebank is working to create a smart care environment by implementing Human Care solutions at the Bucheon Municipal Nursing Home and the Uiwang Municipal Nursing Home.
AIoT Wright (HumanCare) utilizes non-contact mmWave radar sensors to detect residents' breathing, heart rate, movement, and fall status in real-time. The AI analyzes collected data to quickly identify abnormal signs and provides immediate notifications to care staff, supporting a rapid response.
Furthermore, the ability to monitor residents' conditions in real-time helps provide more systematic care services and improves facility operational efficiency.
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๐ฅ AI Monitoring for Safer Care Facilities
Spacebank has recently deployed HumanCare solutions at public nursing homes in Bucheon and Uiwang, helping create smart care environments.
AIoT Wright (HumanCare) utilizes contactless mmWave radar sensors to monitor:
โข Respiration
โข Heart rate
โข Movement
โข Fall detection
The AI continuously analyzes collected data to identify abnormal conditions and immediately notifies caregivers, enabling rapid response.
Real-time monitoring also improves care quality while increasing operational efficiency within healthcare facilities.
๐ฅ Protecting Privacy While Enhancing Safety
One of the most significant advantages of HumanCare is its privacy-preserving design.
Unlike conventional CCTV-based monitoring systems, which raise privacy concerns through video recording, AIoT Wright (HumanCare) uses radar-based sensing technology that detects movement and vital signs without capturing or storing images.
This makes the solution ideal for environments where privacy is essential, including:
โข Hospital rooms
โข Nursing home residences
โข Private living spaces
By enhancing safety without compromising personal privacy, HumanCare is emerging as a next-generation smart care technology.
๐ฅ More Precise Care Through AI and Data
Spacebank is further advancing HumanCare by integrating Carelate sensors.
AI analyzes data related to:
โข Daily activity patterns
โข Movement levels
โข Sleep conditions
โข Behavioral changes
This enables more accurate monitoring of residents' health conditions, supports proactive risk detection, and facilitates more systematic care services.
Looking ahead, Spacebank plans to expand the solution into a community-wide AI-powered integrated care platform that can support local government care initiatives.
As societies age, living safely and healthily becomes increasingly important.
Spacebank remains committed to supporting digital transformation in the care sector through AI, data, and IoT technologies while helping build an integrated care ecosystem where people can confidently live in familiar environments.
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๐Physical AI Strategies Shared with Defense AI Leaders๐ย
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Last May, Spacebank CEO Woney Lee was invited to the 'Defense AI Leadership Course' held at the Pangyo Gyeonggi Startup Campus to deliver a lecture to commanders of the Army, Navy, and Air Force, as well as leaders in the defense sector.
The audience included military commanders and defense leaders from the Army, Navy, and Air Force.
The session focused on how AI is transforming defense operations and how advanced AI technologies currently used in industry can be applied within defense environments.
Under the themeย "Physical AI Strategies for Defense AX," Woney Lee introduced future defense operation models that combine AI, robotics, and sensor technologies.
She emphasized the importance of intelligent defense systems that go beyond simple automation and can make decisions and respond in real time using AI and operational data.
The presentation also featured Spacebank's SDR-based integrated robot control platform, RoboViewX.
Participants showed strong interest in the platform's capabilities, including:
โข Integrated management of heterogeneous robots and devices
โข Remote software updates
โข Real-time operational monitoring
โข AI-driven decision support
These technologies represent the foundation of next-generation defense operation environments.
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Thank you for reading the Spacebank June Newsletter.
At Spacebank, we remain committed to solving real-world industrial challenges through AI and digital transformation technologies while helping create a smarter and more sustainable future.
Our journey of innovation in AI, data, robotics, and Physical AI continues.
If you are curious about how far AI can goโand how it is transforming industries todayโwe invite you to join us again in next month's newsletter for more stories of innovation and digital transformation.
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Spacebank Inc. sales@spacebank.co.kr
46, Dallaenae-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea. |
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Dear Clients and Partners,
In this June edition, we would like to introduce the Zero-Emission AI Solution Project, currently underway to achieve carbon neutrality in industrial sites.
We also share insights Spacebank as we shape the future of AI and digital transformation, including the story of the 'SDR-based Physical AI Strategy for Defense AX' recently shared at the Defense AI Leadership Course.
Join us as we explore how Spacebank continues to shape the future of AI and digital transformation.๐ฟ
ย ย ย ๐ Zero-Emission AI Project for Carbon-Neutral Power Generation
ย ย ย ๐ Creating Safer Care Environments with AI: Spacebank's HumanCare Solution
In this project, Spacebank is playing the role of the power plant's "AI brain."
By analyzing various operational data generated at the power plant in real time, it predicts future NOx concentrations and calculates the optimal ammonia injection amount to most effectively reduce pollutants.
In other words, AI supports data-driven decision-makingโwhich previously relied on operator experienceโto help enable more accurate and efficient power plant operations!
In particular, by applying Spacebank's AI platform, SPIDER Wright, it predicts pollutant emissions in advance and proposes optimal operational strategies, thereby supporting cleaner and more efficient power plant operations.
Let's take a closer look at how the Zero-Emission AI Project is helping power plants move toward a more sustainable future.
However, there have been limitations, such as increased operating costs, as pollutant reduction efficiency drops depending on the power plant's operating conditions or ammonia is used in excess of what is necessary.
Furthermore, in accordance with the government's carbon neutrality policy, "hydrogen co-firing," which uses hydrogen alongside fuel, is scheduled to expand in the future. Since the use of hydrogen can actually increase nitrogen oxide emissions, it is difficult to meet stricter environmental standards using only existing methods.
However, replacing all existing facilities would require massive costs and a long construction period. Therefore, there is a need for smart technology that can reduce pollutants more effectively while maximizing the use of current facilities. Spacebank's Zero-Emission AI solution is being developed precisely to address these challenges.
To overcome these limitations, Spacebank has applied its proprietary AI platform, SPIDER Wright. We are developing an intelligent predictive control system in which AI predicts nitrogen oxide (NOx) concentrations in advance based on real-time operation data from the power plant's DCS and automatically calculates the optimal amount of ammonia to inject.
The goal is to develop next-generation Zero-Emission technology that can drastically reduce NOx emissions to zero by integrating AI into existing denitrification devices and enable a transition to hydrogen co-firing power generation in the future.
Based on these predictions, it automatically calculates the optimal amount of ammonia to inject to most effectively reduce pollutants and notifies the operator. Thanks to this, power plants can reduce pollutant emissions while minimizing the use of unnecessary chemicals.
Currently, the AI model has achieved a high accuracy of 1.69 ppm in NOx prediction and demonstrates excellent performance in actual power plant environments
Operators can monitor:
Long-term operational data analysis also enables predictive maintenance by forecasting catalyst degradation and identifying optimal maintenance timing.
This contributes to more efficient plant operation, reduced downtime, and improved overall performance.
Previously, ammonia was injected from only one direction, but for this project, we improved the injection method to allow ammonia to mix more evenly with the exhaust gases. Thanks to this, we were able to create an environment where the catalyst can operate more efficiently.
In addition, by applying a two-stage catalytic system, we enhanced the performance of converting nitrogen oxides into nitrogen (Nโ) and water (HโO), which are harmless to humans and the environment.
In simple terms, EMKO is enhancing the performance of pollutant removal equipment, while Spacebank is playing the role of supporting its operation more intelligently through AI. ๐ค
"EMCO is increasing the efficiency of pollutant removal equipment, and Spacebank is using AI to find the optimal operating methods; the two companies are jointly pursuing the development of Zero-Emission technology."
The AI model has demonstrated high predictive performance by achieving a Mean Absolute Error (MAE) of 1.69 ppm for NOx prediction accuracy during gas turbine operation. Furthermore, we are establishing an integrated monitoring environment that collects and analyzes power plant operation data in real time, allowing operators to check the status at a glance.
In parallel, Spacebank is building an integrated monitoring environment that collects and analyzes plant operational data in real time, enabling operators to visualize plant conditions at a glance.
The project is expected to deliver:
โข Improved NOx reduction efficiency
โข Optimized ammonia consumption
โข Enhanced operational efficiency
Beyond environmental improvements, this project represents a significant step toward establishing an AI-driven power plant operating framework.
It is expected to become a key enabling technology for future hydrogen co-firing power generation and increasingly stringent environmental regulations.
As more operational data continues to accumulate, Spacebank plans to further improve AI model accuracy and predictive control performance.
Supporting carbon neutrality and the transition to eco-friendly energy in industrial sites through AI and data technologyโthat is the future Spacebank is creating. Moving forward, Spacebank will continue to take on new challenges in the fields of AI, data, robot DX, and Physical AI, driving innovation in industrial settings.
Currently, Spacebank is working to create a smart care environment by implementing Human Care solutions at the Bucheon Municipal Nursing Home and the Uiwang Municipal Nursing Home.
AIoT Wright (HumanCare) utilizes non-contact mmWave radar sensors to detect residents' breathing, heart rate, movement, and fall status in real-time. The AI analyzes collected data to quickly identify abnormal signs and provides immediate notifications to care staff, supporting a rapid response.
๐ฅ AI Monitoring for Safer Care Facilities
AIoT Wright (HumanCare) utilizes contactless mmWave radar sensors to monitor:
โข Respiration
โข Heart rate
โข Movement
โข Fall detection
The AI continuously analyzes collected data to identify abnormal conditions and immediately notifies caregivers, enabling rapid response.
Real-time monitoring also improves care quality while increasing operational efficiency within healthcare facilities.
๐ฅ Protecting Privacy While Enhancing Safety
Unlike conventional CCTV-based monitoring systems, which raise privacy concerns through video recording, AIoT Wright (HumanCare) uses radar-based sensing technology that detects movement and vital signs without capturing or storing images.
This makes the solution ideal for environments where privacy is essential, including:
โข Hospital rooms
โข Nursing home residences
โข Private living spaces
By enhancing safety without compromising personal privacy, HumanCare is emerging as a next-generation smart care technology.
๐ฅ More Precise Care Through AI and Data
AI analyzes data related to:
โข Daily activity patterns
โข Movement levels
โข Sleep conditions
โข Behavioral changes
This enables more accurate monitoring of residents' health conditions, supports proactive risk detection, and facilitates more systematic care services.
Looking ahead, Spacebank plans to expand the solution into a community-wide AI-powered integrated care platform that can support local government care initiatives.
As societies age, living safely and healthily becomes increasingly important.
Spacebank remains committed to supporting digital transformation in the care sector through AI, data, and IoT technologies while helping build an integrated care ecosystem where people can confidently live in familiar environments.
The audience included military commanders and defense leaders from the Army, Navy, and Air Force.
The session focused on how AI is transforming defense operations and how advanced AI technologies currently used in industry can be applied within defense environments.
Under the themeย "Physical AI Strategies for Defense AX," Woney Lee introduced future defense operation models that combine AI, robotics, and sensor technologies.
She emphasized the importance of intelligent defense systems that go beyond simple automation and can make decisions and respond in real time using AI and operational data.
The presentation also featured Spacebank's SDR-based integrated robot control platform, RoboViewX.
Participants showed strong interest in the platform's capabilities, including:
โข Integrated management of heterogeneous robots and devices
โข Remote software updates
โข Real-time operational monitoring
โข AI-driven decision support
These technologies represent the foundation of next-generation defense operation environments.
Thank you for reading the Spacebank June Newsletter.
At Spacebank, we remain committed to solving real-world industrial challenges through AI and digital transformation technologies while helping create a smarter and more sustainable future.
Our journey of innovation in AI, data, robotics, and Physical AI continues.
If you are curious about how far AI can goโand how it is transforming industries todayโwe invite you to join us again in next month's newsletter for more stories of innovation and digital transformation.
https://en.spacebank.company/
46, Dallaenae-ro, Sujeong-gu, Seongnam-si,