SKM Egg
Problem Statement: Streamlining Despatch Schedule and Documentation for Freight Forwarder Cost Reduction
Description: Logistics and warehousing play a crucial role in the success of any business involved in the import/export of goods. However, one of the significant challenges faced by businesses is optimizing the despatch schedule and managing relevant documents effectively to reduce the cost of freight forwarding. Suboptimal planning and document management can lead to increased transportation expenses, delays in delivery, and potential regulatory compliance issues.
We are seeking innovative solutions that can address the following challenges:
a) Despatch Schedule Planning: We require solutions that can efficiently plan despatch schedules in advance. This involves accurately predicting demand, optimizing routes, and coordinating shipment pickups to ensure timely and cost-effective delivery. Startups are encouraged to propose solutions that leverage advanced technologies like AI, machine learning, or data analytics to enhance despatch scheduling accuracy and efficiency.
b) Document Management: Managing export documentation can be a time-consuming and error-prone process. To reduce the cost of freight forwarding, we need startups to propose solutions that can streamline and automate the creation, verification, and submission of relevant export documents. Integrating with existing systems such as SAP or other enterprise resource planning (ERP) platforms is highly desirable to ensure seamless data flow and compliance.
Problem Statement: Simplifying Export Documents Processing through SAP
Description:
Exporting goods is a complex process that involves the preparation and submission of various documents to comply with international trade regulations. Many businesses utilize SAP or other ERP systems for their day-to-day operations, and integrating export documentation processes into these platforms can lead to increased efficiency, reduced errors, and enhanced compliance.
We invite startups to propose solutions that address the following challenges:
a) SAP Integration: We seek solutions that seamlessly integrate with SAP or other ERP systems to simplify and automate export documentation processes. The goal is to reduce manual data entry and potential errors by leveraging the capabilities of SAP and providing a user-friendly interface for document preparation.
b) Compliance and Standardization: International trade involves dealing with various regulations and standards. We are looking for startups that can develop solutions ensuring export documents are in compliance with relevant regulations and standardized for different countries and regions.
Problem Statement: Streamlining Access to International Market Information and Import Duty Details
Description:
In the fast-paced world of international trade, staying updated with accurate and timely information is crucial for businesses. Importers need to have access to the latest international market trends, import duty details for specific HS codes, and periodic import statistics to make informed decisions. However, gathering and processing this data can be a daunting task, especially for businesses dealing with multiple products and markets.
We are inviting startups to propose solutions that can address the following challenges:
a) International Market Information: We require innovative solutions that can efficiently gather, process, and present international market information relevant to our business. This includes market trends, demand patterns, and competitor analysis across different regions and industries. Startups are encouraged to explore technologies like data analytics, artificial intelligence, and machine learning to provide real-time insights.
b) Import Duty Details: Managing import duties for various HS codes can be complex, and mistakes can lead to costly consequences. We are seeking solutions that can automate the process of retrieving and updating import duty details for the respective HS codes based on changes in government policies and regulations.
c) Periodic Import Statistics: To optimize inventory and procurement decisions, businesses need access to periodic import statistics. Startups are invited to propose solutions that can provide comprehensive import statistics reports tailored to our specific needs.
Problem Statement: Efficient Communication of DGFT and Customs Updates via Third-Party Channels
Description:
As a business involved in foreign trade, it is essential to stay informed about the latest updates from the Directorate General of Foreign Trade (DGFT) and Customs authorities. However, manually monitoring and receiving updates can be time-consuming and may lead to missed crucial information.
We are seeking startups to propose solutions that can address the following challenge:
Efficient Information Communication: We require solutions that can automatically and promptly deliver DGFT and Customs updates to us through third-party communication channels, such as message CHAs (Customs House Agents) or freight forwarding companies. The solution should ensure that we receive relevant updates in a timely manner and in a format that is easy to understand and act upon.
Problem Statement: Streamlining Claiming/Utilization of Customs Schemes
Description:
Various Customs schemes and incentives are offered to promote exports and boost foreign trade. One such scheme is the Remission of Duties and Taxes on Exported Products (RoDTEP). However, navigating the intricacies of claiming and utilizing these schemes can be challenging for businesses.
We invite startups to propose solutions that can address the following challenge:
Streamlined Customs Scheme Utilization: We need solutions that can simplify the process of claiming and utilizing Customs schemes like RoDTEP. The ideal solution should automate the application process, ensure compliance with scheme requirements, and enable easy tracking of claims and benefits.
Outcome:
The desired outcome is to enhance our foreign trade operations by leveraging innovative solutions that streamline access to international market information, import duty details, and import statistics. Additionally, efficient communication of DGFT and Customs updates and simplified utilization of Customs schemes will significantly contribute to our business's growth and compliance.
Problem Statement: Leveraging Blockchain Technology for Traceability in Food Supply Chain Integrated with SAP
Description:
In the food industry, ensuring the safety and traceability of products along the supply chain is of paramount importance. To achieve this, we have already implemented SAP to streamline our operations. However, we recognize the need to enhance traceability further by integrating blockchain technology with SAP. The integration will enable us to securely record and track every step of the food supply chain, from sourcing raw materials to the delivery of finished products. By adopting blockchain technology, we aim to establish an immutable and transparent system that instills confidence in consumers and stakeholders while ensuring compliance with food safety standards.
We are seeking startups with expertise in blockchain technology and its seamless integration with SAP to propose solutions that address the following challenges:
a) Blockchain Integration with SAP: Startups should present innovative approaches to integrating blockchain technology with our existing SAP system. The solution should ensure the seamless flow of data between both platforms and enable real-time updates on the blockchain for enhanced traceability.
b) Data Security and Privacy: As blockchain operates on a decentralized network, ensuring data security and privacy is crucial. We invite startups to propose robust security measures to safeguard sensitive information while maintaining data integrity.
Problem Statement: Improving Data Reliability through Advanced Process Parameter Monitoring
Description:
To maintain the highest standards of quality and efficiency in our operations, we use SCADA (Supervisory Control and Data Acquisition) systems to monitor process equipment such as pasteurizers and CIP (Cleaning in Place). However, to optimize our processes further, we must focus on improving the reliability of data related to other process parameters. Reliable data is the foundation of informed decision-making, process optimization, and quality control in the food industry.
We invite startups to propose innovative solutions to address the following challenges:
a) Data Synchronization: Startups should present methods to seamlessly integrate data from various sources into a unified platform, ensuring accurate and real-time synchronization.
b) Data Validation and Quality Control: To enhance the reliability of data, startups are encouraged to propose advanced algorithms and quality control mechanisms that identify and rectify inconsistencies or errors automatically.
Problem Statement: Exploring IoT Applications in the Food Industry
Description:
The Internet of Things (IoT) offers immense potential to revolutionize the food industry by connecting devices, equipment, and systems for data-driven insights and automation. While we have identified some areas where IoT can be applied, we seek innovative solutions from startups to explore further opportunities and create a connected ecosystem.
We invite startups to propose IoT-based solutions that address the following challenges:
a) IoT Integration with Existing Systems: Startups should present ways to seamlessly integrate IoT devices with our current infrastructure, including SAP and SCADA, to enable real-time data collection and analysis.
b) Predictive Maintenance: Developing predictive maintenance models for critical equipment using IoT data can reduce downtime and improve operational efficiency.
Problem Statement: Enhancing Data Analytics and Statistical Tools in SAP for Comprehensive Reporting
Description:
In the fast-paced business landscape, data-driven decision-making is crucial for staying ahead of the competition. We currently use SAP as our primary enterprise resource planning (ERP) system, and while it provides a wealth of data, we recognize the need to further strengthen our data analytics and statistical capabilities. We aim to unlock the full potential of SAP by integrating advanced tools that enable comprehensive and real-time reporting.
We are seeking startups with expertise in data analytics and statistical tools to propose solutions that address the following challenges:
a) SAP Integration with Data Analytics: Startups should present innovative approaches to seamlessly integrate data analytics tools with SAP, allowing for real-time data extraction and analysis. The solution should enable users to generate reports with ease and facilitate informed decision-making across various business functions.
b) Advanced Statistical Insights: We seek solutions that leverage advanced statistical techniques to gain deeper insights into our data. From predictive analytics to trend analysis, startups are encouraged to present cutting-edge methods that empower us to anticipate market trends and make proactive business decisions.
Problem Statement: Root Cause Analysis for Effective Problem Resolution with CAPA Implementation
Description:
In any business, encountering challenges and issues is inevitable. To ensure we address these issues effectively and prevent their recurrence, we understand the importance of performing root cause analysis (RCA) in detail. By identifying the underlying causes of problems, we can take corrective and preventive actions (CAPA) to enhance our processes, products, and services continually.
We invite startups to propose innovative solutions that address the following challenges:
a) Comprehensive Root Cause Analysis: Startups should present approaches to conduct thorough root cause analysis for various problems and challenges faced by our organization. The solution should facilitate the identification of multiple contributing factors to ensure a holistic understanding of the issues.
b) CAPA Implementation: We seek solutions that streamline the implementation of corrective and preventive actions following the root cause analysis. The solution should enable efficient task management, progress tracking, and verification of CAPA effectiveness.
Problem Statement: Addressing Bulging Cartons Resulting from Stacking Pallets
Description:
In the storage of finished goods, one common challenge is the need to stack pallets on top of each other to make the best use of vertical space. However, this stacking practice often leads to bulging cartons, which can compromise the integrity of the stored products and increase the risk of damage. We are committed to finding a solution that maximizes space utilization while ensuring the safety and quality of our finished goods.
We invite startups to propose innovative solutions that address the following challenges:
a) Anti-Bulging Technology: We seek solutions that can effectively prevent bulging cartons when stacking pallets. This technology should provide adequate support to the cartons to maintain their structural integrity and prevent deformation.
b) Space Optimization: The solution should not only prevent bulging but also enable efficient space utilization, allowing us to stack pallets securely and make the most of our storage capacity.
Problem Statement: Balancing Storage Capacity and Racking System Implementation
Description:
To optimize space utilization further, we are considering implementing a racking system in our storage facility. However, we are concerned that traditional racking systems may limit our storage capacity due to their fixed structure and spacing. We are seeking innovative solutions that can strike a balance between adopting a racking system and maintaining sufficient storage capacity for our finished goods.
We are inviting startups to propose solutions that address the following challenges:
a) Dynamic Racking System: We seek a racking system that can adapt to varying product sizes and shapes. The solution should offer flexibility in adjusting shelf heights and configurations to accommodate different types of finished goods.
b) Real-time Inventory Management: The proposed solution should incorporate smart inventory management features to monitor stock levels, rotation, and expiration dates of finished goods. Real-time data will help optimize space allocation and ensure the efficient utilization of the racking system.
CavinKare
Problem Statement: Sustainable Packaging with Plant-Based Plastics
Description:
As part of our commitment to sustainability, CavinKare is seeking alternatives to traditional rigid containers made from petroleum-based plastics. We are keen to explore packaging materials that utilize plant-based plastics, which are derived from renewable resources and have a lower environmental impact compared to conventional plastics. Adopting such materials will enable us to reduce our carbon footprint and contribute to a circular economy.
We invite startups to propose solutions that address the following challenges:
a) Plant-Based Plastic Materials: We seek innovative plant-based plastic alternatives that can be used for various packaging formats, including bottles, jars, and containers. The proposed materials should be eco-friendly, biodegradable, and possess properties that meet our product storage and safety requirements.
b) Scalability and Feasibility: The solution should be scalable to accommodate our ever-growing product range and production volumes. Startups are encouraged to present plans that demonstrate the feasibility of adopting plant-based plastics across our diverse product lines.
Problem Statement: Exploring Paper-Based Bottles as Preferred Sustainable Packaging
Description:
CavinKare is actively exploring paper-based bottles as an environmentally preferable alternative to conventional rigid containers. We recognize the potential of paper-based packaging to significantly reduce plastic waste and contribute to a circular economy. We are interested in solutions that embrace the eco-friendly attributes of paper while maintaining the necessary functionality and durability required for our diverse product range.
We invite startups to propose solutions that address the following challenges:
a) Paper-Based Bottle Design: Startups should present innovative and practical designs for paper-based bottles that can accommodate a wide range of product types and sizes while ensuring leak-proof and tamper-evident features.
b) Sustainable Sourcing: The proposed solution should incorporate sustainable sourcing of paper materials, adhering to responsible forestry practices and certifications.
Problem Statement C: Home Compostable Rigid Containers for Complete Circular Solutions
Description:
CavinKare is committed to adopting packaging solutions that align with the principles of a circular economy. As part of this commitment, we are seeking compostable rigid containers that can be easily home composted by consumers after use. By embracing home compostable materials, we aim to reduce waste and promote responsible end-of-life disposal practices among our customers.
We invite startups to propose solutions that address the following challenges:
a) Compostable Material Innovation: Startups should present home compostable materials suitable for rigid containers that can naturally decompose within a home composting environment.
b) End-of-Life Considerations: The proposed solution should provide information and guidelines to consumers on the proper disposal and composting of the containers after use.
Problem Statement: Sustainable and Cost-Effective Multi-Use Sachet Solutions
Description:
As part of our ongoing efforts to combat the impacts of climate change and reduce plastic waste, CavinKare is determined to eliminate single-use plastic sachets from our packaging. We are actively seeking sustainable and cost-effective alternatives that offer multi-use capabilities, allowing consumers to reuse the sachets for various purposes. By embracing multi-use sachets, we aim to significantly reduce plastic consumption and contribute to a more circular economy.
We invite startups to propose solutions that address the following challenges:
a) Multi-Use Material Innovation: Startups should present sustainable materials that are durable and suitable for multi-use sachets. The proposed materials should be free from harmful chemicals and should provide an extended lifespan to withstand multiple uses.
b) Cost-Effectiveness: The solution should be economically viable, ensuring that the multi-use sachets are competitively priced compared to single-use plastic sachets. Cost-effectiveness is crucial to encourage widespread adoption and consumer acceptance.
Problem Statement: Recyclable and Compostable Multi-Use Sachet Design
Description:
As we strive for sustainability in our packaging, we are committed to embracing materials that align with circular economy principles. In line with this vision, we seek recyclable and compostable multi-use sachet designs that promote responsible end-of-life disposal practices. By utilizing materials that can be efficiently recycled or composted, we aim to minimize our environmental impact and contribute to a closed-loop system.
We invite startups to propose solutions that address the following challenges:
a) Recyclable Materials: Startups should present materials that are easily recyclable through existing recycling infrastructures. The solution should ensure that the recyclability of the sachets is not compromised during the multiple usage cycles.
b) Compostable Packaging: The proposed solution should incorporate materials that are certified as compostable, facilitating proper decomposition in industrial composting facilities and home composting environments.
Problem Statement: Indexing and Organizing Water Quality Data from Multiple Sources & Regions
Description:
Water monitoring projects involve collecting vast amounts of data from various sources and regions, making the task of indexing and organizing the data a significant challenge. To ensure efficient retrieval and analysis, there is a critical need for innovative solutions that automate the process of indexing water quality data. Such solutions should create standardized data formats, implement data management systems, and develop algorithms to identify patterns and anomalies in the data, enabling water management organizations to make data-driven decisions effectively.
We invite startups to propose solutions that address the following challenges:
a) Automated Data Indexing: Startups should present solutions that automatically index and categorize water quality data from multiple sources, ensuring easy accessibility and retrieval.
b) Structured Data Management: The proposed solution should implement a robust data management system that organizes the data in a structured manner, making it coherent and easily navigable.
Problem Statement: Intuitive Data Visualization and Self-Service Business Intelligence
Description:
Complex water quality data can be challenging for stakeholders to comprehend and act upon. To overcome this obstacle, there is a demand for startups to develop intuitive and user-friendly data visualization tools. These tools should enable stakeholders to explore and analyze water quality data effortlessly. Additionally, self-service business intelligence solutions will empower decision-makers with real-time access to relevant data, enhancing their ability to make informed decisions and drive operational improvements. Interactive dashboards, customizable reports, and data exploration capabilities are essential features of these tools.
We invite startups to propose solutions that address the following challenges:
a) User-Friendly Data Visualization: Startups should create data visualization tools that present water quality data in a visually appealing and understandable manner, facilitating quick and actionable insights.
b) Self-Service BI for Decision-Makers: The proposed solution should empower decision-makers with self-service business intelligence capabilities, allowing them to access relevant data and generate custom reports independently.
Problem Statement: Predictive Analysis for Proactive Water Quality Management
Description:
Predictive analysis is a powerful tool for forecasting future trends and potential risks in water quality. Startups can utilize machine learning and statistical modeling techniques to develop algorithms and models that predict changes in water quality based on various factors. These factors may include weather conditions, pollutant levels, and geographical parameters. Proactive predictive analytics solutions will assist water management organizations in identifying potential issues beforehand and taking preventive measures to ensure water quality and environmental protection.
We invite startups to propose solutions that address the following challenges:
a) Predictive Algorithm Development: Startups should develop sophisticated algorithms that leverage historical water quality data to predict future trends and potential risks accurately.
b) Proactive Risk Identification: The proposed solution should enable water management organizations to identify potential water quality issues proactively and implement preventive measures.
Problem Statement: Monitoring Physical Parameters for Poultry Health Assessment
Description:
ELICO, a leader in the agricultural industry, is dedicated to enhancing the well-being and productivity of poultry. As part of our commitment to animal welfare, we are seeking innovative startup solutions that enable the monitoring of physical parameters related to poultry health. By leveraging cutting-edge technologies such as sensors, imaging, and computer vision, we aim to gain comprehensive insights into poultry behavior and physical well-being. The ultimate goal is to ensure early detection of potential health issues, enabling timely intervention and proactive care.
We invite startups to propose solutions that address the following challenges:
a) Sensor Integration: Startups should develop solutions that integrate sensors capable of capturing relevant physical parameters in poultry. These may include movement patterns, feeding behavior, vocalizations, or other indicators of health and well-being.
b) Data Analysis and Interpretation: The proposed solution should include advanced data analysis techniques that interpret the collected physical parameters to provide actionable insights for poultry health assessment.
Problem Statement: Developing a Portable Sensor for Early and Non-Destructive Gender Characterization of Chicken Eggs
Description:
Elico, a pioneer in agricultural technology, is dedicated to improving the efficiency and sustainability of poultry hatcheries. As part of our commitment to animal welfare and optimal resource management, we are seeking groundbreaking startup solutions that can accurately and non-destructively determine the gender of chicken eggs at an early stage of development. The ultimate goal is to develop a portable sensor device capable of rapid gender characterization, ensuring the viability of eggs for successful hatching and effective poultry management.
We invite startups to propose solutions that address the following challenges:
a) Early Stage Gender Determination: Startups should develop innovative methods and technologies that can accurately identify the gender of chicken eggs at an early embryonic stage, ideally within the first few days of incubation.
b) Non-Destructive and Safe Process: The proposed sensor device should be non-invasive and non-destructive to the eggs, ensuring their viability and hatchability throughout the incubation period.
Problem Statement: Real-Time Monitoring for Hydroponics and Aeroponics Systems
Description:
ELICO, a leading agricultural technology company, is dedicated to enhancing plant growth and sustainability through hydroponics and aeroponics systems. As part of our commitment to precision agriculture, we are seeking innovative startup solutions that enable real-time monitoring of these systems. By leveraging cutting-edge technologies such as sensors, IoT devices, and automation, we aim to collect valuable data on key parameters like temperature, humidity, pH levels, nutrient quality, and water conditions. Real-time monitoring will enable immediate detection of any variations or issues in the growing environment, facilitating prompt adjustments and optimizing plant growth.
We invite startups to propose solutions that address the following challenges:
a) Sensor Integration: Startups should develop solutions that integrate sensors and IoT devices to monitor and collect real-time data on vital parameters within hydroponic and aeroponic systems.
b) Automated Adjustment: The proposed solution should offer automation capabilities, allowing growers to make timely adjustments to environmental factors and nutrient levels based on real-time data insights.
Problem Statement: Data Collection, Analysis, and Insights for Hydroponics and Aeroponics
Description:
Accurate and comprehensive data collection is paramount for optimizing hydroponic and aeroponic systems. ELICO seeks innovative startups to develop mechanisms and software platforms that gather and store data from multiple sources within the growing environment. This can include sensor data, nutrient solution composition, growth rates, and environmental conditions. Startups can also focus on developing analytics tools and algorithms that process and analyze the collected data, providing valuable insights to growers for informed decision-making and plant growth optimization.
We invite startups to propose solutions that address the following challenges:
a) Data Collection Mechanisms: Startups should develop efficient data collection mechanisms that collate and organize data from various sources within the hydroponic and aeroponic systems.
b) Data Analytics and Insights: The proposed solution should include advanced data analytics tools and algorithms that process the collected data to offer actionable insights for growers to optimize plant growth.
Problem Statement: Predictive Analysis for Sustainable Crop Growth
Description:
ELICO is interested in startups that can harness predictive analytics techniques to forecast plant growth, nutrient requirements, and potential issues in hydroponic and aeroponic systems. By leveraging historical data and machine learning models, startups can develop algorithms that predict optimal conditions for plant growth and sustainability. These predictive models will assist growers in making informed decisions about crop rotation, nutrient management, disease prevention, and system planning for long-term sustainability and maximum crop yield.
We invite startups to propose solutions that address the following challenges:
a) Predictive Modelling: Startups should develop advanced predictive models that forecast plant growth, nutrient needs, and potential challenges in hydroponic and aeroponic systems.
b) Decision Support: The proposed solution should offer decision support capabilities, providing growers with actionable recommendations based on predictive insights.
Forbes Marshall
Problem Statement: Bridging the Gap in Energy Audits with Real-Time Process Modelling and AI/ML Analytics
Description:
The corporate recognizes the significance of energy audits in comprehending plant processes. However, the reliance on historical data in traditional energy audits results in a lack of real-time insights and the ability to capture process variations as they occur. To fully unleash the potential of energy optimization, there is a pressing need for process modelling that can effectively capture real-time variations, allowing plants to operate close to thermodynamic energy/exergy limits. To address this challenge, we seek innovative solutions from startups that can develop advanced process simulations integrated with AI/ML analytics, providing diagnostics and insights for efficient operation at both equipment and plant levels.
We invite startups to propose solutions that address the following challenges:
a) Real-Time Process Modelling: Startups should develop advanced process simulation models that can effectively capture real-time variations in plant processes. The proposed solutions should seamlessly integrate with sensor data and automation technologies, allowing continuous updates to the model based on current operating conditions.
b) AI/ML Analytics for Actionable Insights: The proposed solutions should incorporate cutting-edge artificial intelligence and machine learning analytics to provide diagnostics and actionable insights for efficient operation at equipment and plant levels. This may include anomaly detection, optimization recommendations, and predictive maintenance insights.
c) Bridging the Gap in Energy Audits: The ultimate objective is to bridge the gap between conventional energy audit practices, which rely heavily on historical data, and real-time process modelling, empowering plant operators with actionable data to operate close to thermodynamic energy/exergy limits and identify potential gaps for optimization.
Problem Statement: Developing High-Reliability Systems for Efficient Solid Waste-to-Energy Conversion
Description:
The corporate is seeking cutting-edge solutions from startups that can revolutionize solid waste-to-energy technology. The challenge lies in developing a system with high reliability and repeatability, capable of efficiently converting a wide variety of solid waste into energy. The goal is to create a consistent and reliable performance, even with varying inputs of solid waste, enabling sustainable and efficient energy generation from diverse waste streams.
We invite startups to propose solutions that address the following challenges:
a) High-Reliability Waste-to-Energy Conversion: Startups should develop innovative technologies that ensure high reliability in converting solid waste into energy. The proposed systems should offer consistent performance and operational stability, minimizing downtime and maximizing energy output.
b) Handling Diverse Waste Inputs: The proposed solutions should be versatile enough to handle a wide variety of solid waste inputs, including municipal waste, industrial waste, agricultural residue, and more. The system should efficiently process and convert these varied waste streams into energy without compromising performance.
c) Consistent Performance: The objective is to create a waste-to-energy system that delivers consistent performance, even with varying waste inputs. The system should be designed to adapt and optimize its operations based on the characteristics of the incoming waste to achieve reliable energy generation.
Problem Statement: Developing Modular and Energy-Efficient Wastewater Treatment Solutions with Enhanced Parameter Handling
Description:
The corporate is seeking transformative solutions from startups to revolutionize wastewater treatment. The current technology used in sewage treatment plants (STPs) often exhibits high energy consumption and significant space requirements, making it less sustainable for large-scale implementation. Additionally, conventional systems have limitations in efficiently handling various incoming water parameters. We are calling on startups to propose technology that is modular, less energy-intensive, and occupies a smaller footprint, while effectively handling typical parameters at the inlet of STPs.
We invite startups to propose solutions that address the following challenges:
a) Energy-Efficient Wastewater Treatment: Startups should develop innovative technologies that significantly reduce the energy consumption associated with wastewater treatment. The proposed solutions should aim to optimize energy usage without compromising the overall treatment efficiency.
b) Modular System Design: The objective is to create modular wastewater treatment solutions that can be easily scaled and adapted to different sizes and capacities. A modular approach allows for flexibility and cost-effectiveness in implementing treatment systems of various scales.
c) Smaller Footprint: The proposed solutions should occupy a smaller physical footprint, making them suitable for installation in urban areas or locations with limited space. Reducing the space requirements ensures a more sustainable and practical wastewater treatment solution.
d) Enhanced Parameter Handling: The technology should be capable of efficiently handling a wide range of incoming water parameters, including organic matter, nutrients, suspended solids, and pollutants. The system should demonstrate robust performance even with variations in the incoming wastewater composition.
Problem Statement: Developing Modular and Cost-Effective Carbon Capture Solutions for Boilers
Description:
The corporate is eager to explore advanced analytics opportunities for carbon capture and sequestration in collaboration with startups. The digitization of our manufacturing machines has laid a strong foundation for data-driven decision-making. Now, we seek to further enhance our capabilities by exploring innovative technologies that can be retrofitted to our boilers. We are specifically interested in modular solutions that offer low cost of ownership and can efficiently capture around 200 kg/hr of CO2 loading.
We invite startups to propose solutions that address the following challenges:
a) Retrofittable Carbon Capture Technology: Startups should develop retrofittable carbon capture technologies that can be seamlessly integrated into our existing boilers. The proposed solutions should be designed to optimize space utilization and installation ease, ensuring a smooth integration process.
b) Low Cost of Ownership: The objective is to identify cost-effective carbon capture solutions with low operational and maintenance costs. The proposed technologies should offer long-term sustainability without significantly increasing the overall cost of ownership.
c) Modular Construction and Operation: We seek solutions with a modular design that allows for scalability and adaptability. Modular technologies facilitate easy expansion and adjustment as per varying requirements, providing flexibility for future upgrades or modifications.
d) CO2 Loading Capacity: The proposed technology should be capable of capturing around 200 kg/hr of CO2 loading. Efficient carbon capture at this scale will allow us to significantly reduce our carbon footprint and contribute to sustainability goals.
