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Development of an Advanced Waste Management and Energy Optimization Application
  1. case
  2. Development of an Advanced Waste Management and Energy Optimization Application

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Development of an Advanced Waste Management and Energy Optimization Application

eleks.com
Environmental Services
Energy & Natural Resources
Information Technology

Challenges in Waste-to-Energy Plant Efficiency and Sustainability

Waste-to-energy plants face inefficiencies in operational processes, lack of real-time visibility into energy production potential, difficulties in optimizing waste flows for maximum energy recovery, and challenges in reducing CO2 emissions while maintaining profitability. Existing systems require digitization to streamline management and improve decision-making.

About the Client

A German provider of innovative technology and sustainability solutions for the waste management industry, focused on optimizing waste-to-energy plant efficiency and environmental impact.

Goals for the Waste Management Innovation Project

  • Transform Wasteer's vision into a scalable, functional application for waste-to-energy plant management
  • Digitize and automate waste flow optimization processes
  • Enable real-time visualization of energy production potential and cost metrics
  • Enhance client CO2 balance tracking and reporting capabilities
  • Ensure scalability and stability for future growth and industry adoption

Core System Functionalities and Features

  • Real-time energy production and cost visualization dashboard
  • AI-driven waste flow optimization algorithms
  • Admin panel for user management, permissions, and database control
  • Computer vision integration for automated waste material recognition
  • APIs for integration with existing plant systems and third-party platforms

Technology Stack Preferences

Cloud-native backend architecture
Data analytics and visualization frameworks
Computer vision libraries (e.g., OpenCV, TensorFlow)
Scalable microservices architecture

System Integration Requirements

  • Legacy plant operational systems
  • Environmental monitoring sensors
  • Client enterprise resource planning (ERP) systems
  • Third-party CO2 tracking platforms

Non-Functional Requirements

  • High availability and fault-tolerant backend
  • Low-latency real-time data processing
  • Role-based access control and data encryption
  • Responsive UI/UX for both desktop and mobile access
  • Horizontal scalability for global deployment

Expected Business and Environmental Impact

The solution will enable Wasteer to reduce operational costs by 20-30%, increase energy recovery efficiency by optimizing waste flows, and provide clients with actionable insights to improve their CO2 balances. By digitizing critical processes, the platform will position Wasteer as an industry leader in sustainable waste management innovation while creating measurable environmental benefits through enhanced resource efficiency.

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