EnergiNet

Elevator Pitch: EnergiNet leverages cutting-edge game theory to revolutionize energy management in industrial processes, slashing costs and boosting sustainability. Imagine your operation achieving maximal energy efficiency with our smart, adaptive platform—welcome to the future of industrial energy management.

Concept

Optimization platform for energy-efficient industrial processes

Objective

To maximize energy efficiency in discrete event systems across various industries by deploying optimal supervisory control mechanisms.

Solution

Using a game-theoretical approach, EnergiNet synthesizes optimal supervisors for discrete event systems, ensuring minimal initial energy use and preventing system crashes due to energy exhaustion.

Revenue Model

Subscription-based access to the platform for corporations, with tiered pricing based on the size of the operation and additional consulting services for custom solutions.

Target Market

Heavy industries (manufacturing, construction, mining), large-scale logistics operations, and smart city infrastructure projects seeking to optimize energy consumption.

Expansion Plan

Initially target domestic markets with heavy industrial sectors, eventually scaling to international markets and incorporating AI for predictive energy management.

Potential Challenges

Technical complexity in adapting the model to specific industry needs, securing early adopters, and continuous algorithm improvements.

Customer Problem

Industries face challenges in optimizing energy use, leading to higher operational costs and environmental impact.

Regulatory and Ethical Issues

Compliance with international energy consumption and carbon emission standards; ensuring data privacy for clients.

Disruptiveness

By offering a unique solution based on game theory for energy optimization not currently available in the market, EnergiNet could significantly reduce operational costs and improve sustainability practices across industries.