Introduction

Digital Carbon Management Platform for Solving the Climate Crisis

The climate crisis is one of the most urgent challenges facing the world today. To address it, accurate measurement of carbon emissions and effective reduction and offsetting efforts based on these measurements are essential.

Without precise accounting of carbon emissions, it is impossible to set reduction targets or verify the effectiveness of offset activities. Therefore, accurate measurement is the first step in combating the climate crisis.

GESIA (Green Earth Social Impact Alliance) is an innovative platform that combines IoT, blockchain layers, AI analysis, and the Net Zero Consensus Algorithm to transparently manage carbon emission data, enabling effective reduction and offset activities.

Importance and Purpose of Carbon Emission Measurement

Accurate carbon emission measurement is at the core of addressing the climate crisis.

• Ensuring transparency and reliability Without reliable carbon data, it is impossible to set reduction targets or verify the effectiveness of offset activities, creating significant barriers to addressing climate change.

• Foundation for reduction strategies Detailed data serves as the basis for developing concrete plans, such as improving energy efficiency, designing emission reduction pathways, and implementing RE100 initiatives.

• Essential for carbon offsetting Offset activities, such as issuing and trading carbon credits, require precise emission data to establish trust, directly impacting the transparency and effectiveness of the global carbon market.

GESIA's Approach to Accurate Carbon Emission Measurement

GESIA provides the following digital solutions for measuring carbon emissions:

Real-Time Data Collection with IoT Sensors

• IoT sensors are installed in each space to automatically collect energy consumption data such as electricity, gas, and heating.

• Data is monitored in real-time and categorized by space and time to provide detailed emission breakdowns.

Space and Fragmentation-Based Measurement

• Space-Based Measurement: Emission data is collected at the building, factory, or office level to calculate precise emissions for each space.

• Fragmentation: Even within a single space, data is analyzed at a granular level, such as by individual, device, or activity, for detailed insights.

Data Transparency through Blockchain

• Ethereum Layer 1: Ensures the fundamental reliability of carbon emission data.

• Net Zero Chain Layer 2: Connects carbon emission, reduction, and absorption data, and verifies the reliability of offsetting, reduction, and RE100 activity data through the Net Zero Consensus Algorithm.

• Emission and Offset Chain Layer 3: Aggregates and analyzes carbon emission and offset data in real-time, rolling it up to Layer 2 for validation.

AI-Driven Reduction Strategy Proposals

• AI analyzes collected data to identify emission patterns and proposes energy efficiency improvements and reduction strategies.

• Predictive models suggest the optimal pathways for achieving reduction targets.

Net Zero Consensus Algorithm

• Integrates offsetting, reduction, and RE100 goals to develop optimal offsetting strategies.

• Continuously verifies the effectiveness of reduction and offset activities, providing actionable guidance for achieving carbon neutrality.

Carbon Offsetting and GESIA’s Role

GESIA supports carbon offset activities based on accurate emission measurements, providing a reliable solution for the global carbon market through the issuance and trading of digital carbon credits.

Issuance of Carbon Credits

• Digital carbon credits are issued based on reduction and offset activities, ensuring compliance with international standards.

Offsetting and Transparency

• The issuance and burning processes of carbon credits are recorded on the blockchain, creating a trustworthy trading environment for all participants.