ECO: Global Decentralized Energy Web3 Ecosystem White Paper

1.Project Background and Vision

1.1 Background

The world is at a critical stage of energy transition and digital upgrade. In pursuit of green, low-carbon development, countries are accelerating the adjustment of their energy mix and promoting the intelligent transformation of traditional energy facilities (such as gas stations, charging piles, green power plants, and related commercial infrastructure). However, traditional energy assets commonly suffer from data silos, inefficient management, financing difficulties, and opaque transactions, and urgently require advanced technological solutions. At the same time, frontier technologies such as blockchain, smart contracts, the Internet of Things (IoT), artificial intelligence (AI), Decentralized Physical Infrastructure Networks (DePIN), and zero-knowledge proofs are offering new solutions for the digitization of energy assets, cross-border payments, and decentralized governance. By leveraging these technologies, it becomes possible to achieve real-time energy data collection, intelligent dispatch, and secure, transparent flow of funds, thereby enabling traditional energy assets to move freely in the global market.

1.2 Vision

ECO’s mission is to build a global decentralized energy network by integrating traditional energy assets with blockchain technology, creating an efficient, transparent, and shared energy economy. We aim to make institutional-grade, decentralized energy-network financial products and services accessible to everyone. We believe that blockchain technology has the potential to improve the infrastructure of energy finance products and services and enhance their feasibility. We also believe that the best technological innovations must be combined with traditional financial best practices, including investor protection, reporting transparency, regulatory compliance, robust product structuring, partnerships with top service providers, and first-class customer service.

Our vision is:

Global Energy Interconnection

Tear down the barriers of the traditional energy system to build a decentralized, cross-border, interconnected global energy-finance ecosystem, enabling trustless trading and free flow of energy assets.
Digital Asset Management

Leverage IoT and blockchain technologies to transform traditional energy facilities—such as gas stations, charging stations, and green power plants—into Real-World Assets (RWA). Utilize smart contracts to enable automatic profit distribution, real-time settlement, and intelligent dispatch, thereby improving the operational efficiency of energy assets.
Multi-Stakeholder Governance

Establish a decentralized energy-ecosystem governance model through ECO tokens and NFT-based identity authentication. Allow investors, operators, and end users to jointly participate in ecosystem decision-making, share in the returns, and bear the risks, thus driving deep integration between energy markets and financial markets.
Intelligent Dispatch and Data Security

Combine AI computing power, IoT, and DePIN to achieve full-chain data collection and intelligent dispatch. Employ zero-knowledge proofs to protect user privacy and ensure that data remains authentic, transparent, and tamper-proof.
Global Cross-Border Payments and Trading

Rely on a decentralized payment system to reduce the costs of traditional cross-border transactions, enable seamless global interoperability of energy assets, capital, and digital assets, and promote innovation in global energy finance.

2.Core Values and Objectives

2.1 Realizing Energy Asset Securitization

Empower traditional physical assets such as gas stations, charging stations, and green power plants with IoT data to achieve digital transformation and RWA tokenization, laying a solid foundation for subsequent financing, profit distribution, and asset appreciation.

2.2 Building a Decentralized Governance System

Leverage ECO tokens and Econn NFTs to establish a DAO-based governance platform, ensuring that all token holders can participate in ecosystem decision-making, share operating profits, and promote healthy ecosystem development.

2.3 Enhancing Intelligent Energy Management

Combine AI algorithms, IoT data collection, and DePIN to optimize energy dispatch, reduce energy waste, and achieve efficient management and intelligent distribution of energy financial assets, thereby improving overall operational efficiency.

2.4 Creating a Global Dual-Circulation Trading System

Construct a dual-circulation model through domestic cultural exchanges and overseas RWA trading platforms, forming a complete loop from cash purchase to digital asset circulation to cross-border trading, and promoting free flow and appreciation of energy assets worldwide.

2.5 Ensuring System Security and Data Privacy

Employ multiple security technologies, such as zero-knowledge proofs and multi-signature schemes, to protect platform and funds security, ensure data authenticity and privacy during on-chain processes, and build a transparent, tamper-proof decentralized energy ecosystem.

2.6 Smart Contract Audit

The ECO ecosystem token smart contracts are rigorously audited by the leading blockchain security firm CertiK to ensure security and reliability.

3.Ecosystem Design

The entire ECO ecosystem is composed of four core modules, each closely interconnected with the others to form a complete closed loop of the digital economy.

3.1 ECO RWA — Physical Asset Digitization and Securitization

Asset Scope

Includes gas stations, charging stations, green power plants and their surrounding commerce (e.g., convenience stores, motels, fast-food outlets).
Digital Packaging & Data Collection

Install IoT devices, sensors, and smart meters at each physical node to collect real-time data on fuel volume, electricity output, equipment status, transaction records, and energy consumption. Standardize and record all data on-chain to ensure authenticity, transparency, and traceability.
Financing & Revenue Mechanism

ECO RWA enables digital financing of assets like gas stations, charging stations, and green power plants, allowing investors to receive a minimum guaranteed return derived from the underlying operational income.
- Return Mechanism
  - Base Yield: Distribute a fixed percentage of operational revenue from gas stations or charging stations, targeting an annualized return of approximately 10%.
  - Guaranteed Fixed-Return Feature: Ensure investors receive stable returns over an agreed term, and in Year 5 fulfill the capital-security commitment via token buybacks or yield adjustments.
  By tokenizing traditional assets and offering both fixed and variable yield products, ECO RWA provides investors with downside protection plus upside participation. Asset operating income underpins ECO dividends and DePIN node incentives.
Fund Security & Risk Management

Employ liquidity locks, dual-signature mechanisms, periodic audits, and zero-knowledge proofs to guarantee the security and integrity of on-chain data and fund flows.

3.2 ECO — Ecosystem Token & Community Governance

Value Anchoring

Peg ECO token value to the market capitalization of ECO RWA, ensuring real-asset backing and price stability.
ECO Ecosystem Use Cases

3.2.1 Subscribe to NFTs (“Energy Cat”)

Users spend ECO tokens to subscribe to Econn NFTs (“Energy Cat”), unlocking tiered membership benefits such as discounts, ecosystem dividends, node rewards, and governance voting rights.

3.2.2 Cross-Border Payments

Use ECO as a decentralized payment medium across global energy venues (e.g., gas stations, charging stations, e-commerce), enabling instant, low-fee cross-border transactions via smart-contract settlement.

3.2.3 On-Site ECO Payments at Partner Gas Stations

Customers pay directly with ECO tokens at partner gas stations, reducing intermediary fees and accelerating settlement. Stations lower acquisition costs, increase liquidity, and earn additional ecosystem rewards.

3.2.4 Discounts in New-Energy Ecosystem Hubs

Econn NFT (“Energy Cat”) members enjoy special discounts at ECO-partnered new-energy stations (e.g., charging and storage facilities) and adjacent commercial areas. Merchants settle instantly in ECO, eliminating clearance delays.

3.2.5 E-Commerce & Retail Partnerships

ECO integrates with major e-commerce platforms and brick-and-mortar retailers; users pay in ECO tokens and receive exclusive discounts.

3.2.6 Yield Participation from New-Energy Storage Stations

New-energy storage stations within the ECO ecosystem (such as photovoltaic and wind power plants) offer storage-dividend returns. Users can stake ECO tokens to participate in revenue sharing.

Storage-station yields are distributed to token holders based on their ECO token balance and staking duration, achieving decentralized profit allocation.

3.3 Econn — NFT Identity and Membership System

Unique Identity Authentication

Utilize NFTs (“Energy Cat”) to mint a DID-based identity credential for each user, binding them to their platform account, membership tier, and associated benefits.
Merchants (Pass Card Holders)
- Conditions:
  - Must apply for an ECO Merchant Pass Card (obtainable by holding ECO tokens or via other methods).
- Rights:
  - Fee Reduction: Users paying with ECO receive discounts.
  - Ecosystem Exposure: Merchants are promoted within ECO consumption scenarios, gaining increased traffic.
  - Payment Priority: Support ECO payments and integration with additional decentralized payment solutions.
  - Limited-Edition NFT Digital Collectibles: Access premium benefits and artist-backed collectible copyrights (featuring multiple art IPs).
NFT Issuance

ECO will conduct the initial issuance of Econn NFTs within the ECO ecosystem.
Multiple Benefits and Use Cases
- Offline Discounts: Econn NFT holders enjoy exclusive offers at partner physical merchants (gas stations, convenience stores, fast-food outlets, motels, etc.).
- Dividend Sharing: Rewards tied to ECO RWA revenues and ECO incentive dividends, boosting user engagement.
- Digital Collectibility & Social Features: As art-quality digital assets, NFTs serve as unique online identifiers—usable as avatars, exhibition tickets, themed-event passes, and more.
Privacy & Identity Authentication

Leverage zero-knowledge proof technology for decentralized verification, ensuring user identity data remains secure, immutable, and privacy-protected.

4.Smart Contracts

ECO smart contracts serve as the core of the ECO ecosystem, ensuring all processes are automated, transparent, and trustless, and cover functions such as on-chain asset data, token circulation, NFT minting, transaction data recording, dividend distribution, and node incentives.

4.1 ECO Token Issuance, Distribution, and Lock-Up Rules

Token Issuance

The total supply of ECO tokens is 1,000,000,000

item	percentage
Foundation	25%
Team	17.5%
Ecosystem Partners	25.5%
Community Incentives	17%
Advisory Team	5%
Marketing	5%
Institutional Round	5%

Automatic Dividend Distribution Mechanism

Smart contracts automatically calculate ECO RWA asset operating income on a preset cycle (e.g., quarterly). After deducting operating costs, the net income is distributed to all ECO token holders in proportion to their holdings.

4.2 Econn NFT & Identity Authentication

NFT Minting & Issuance

Unique Econn NFTs (“Energy Cat”) are minted via smart contracts, recording user identity, membership tier, and their entitlement to ECO and RWA-derived returns.
Benefit Redemption & Management

NFT holders can, through smart contracts, redeem offline discounts, exchange points, and receive dividend distributions; all entitlement rules are publicly visible on-chain, transparent, and immutable.
Decentralized Identity Verification

By integrating zero-knowledge proof technology, secure user identity verification is achieved while preserving data privacy and enabling efficient authentication.

5.Economic Model & Revenue Calculation

The ECO economic model employs a multi-tiered revenue loop that organically combines traditional energy asset cash flows, AI computing-power leasing, DePIN node incentives, and ecosystem token dividends, forming a full-chain value transmission connecting the physical economy, digital finance, and data intelligence.

5.1 Energy Business DeFi Revenue Model (RWA Assets)

Charging and Storage Revenue

In electricity markets with pronounced peak–valley price differentials, the storage system completes an energy arbitrage cycle by “charging during off-peak (low-price) periods and discharging during peak (high-price) periods” to capture the margin.Salable Energy Volume $E_{discharge}$ :

E_{discharge} = \eta \times E_{charge}

Storage Revenue $\delta_{energe}$ :

\delta_{energe} = E_{discharge} \times P_{peak} - E_{charge} \times P_{valley} - D

Where $P_{valley}$ denotes the off-peak electricity price, $P_{peak}$ the peak electricity price, $E_{charge}$ the energy charged per cycle, $\eta$ the charge–discharge round-trip efficiency, and D the battery depreciation and cycle losses.

Gas Station Transaction Revenue

Each fuel transaction generates revenue, which is recorded transparently on-chain; a portion of this revenue is allocated to the dividend pool for automatic distribution to ecosystem participants. $R_{station}$ :

R_{station} = \alpha \times \sum_{i=1}^{n} Q_i \times P_i

\alpha \in [0,1]

Where $\alpha$ denotes the dividend ratio, and $Q_i$ and $P_i$ denote the volume and unit price of the i-th transaction, respectively.

Carbon Neutrality Revenue

IoT physical devices collect carbon emission and energy-saving data in real time, which, after identity verification and preprocessing, is recorded on the ECO RWA main chain. Smart contracts issue tokens based on the emission-reduction data, with application scenarios including: offsetting energy consumption costs (e.g., charging fees, membership fees, etc.); redeeming Econn NFT benefits (e.g., green membership status, point packages); participating in green investment governance voting; and trading on the ECO-Carbon market to acquire ECO tokens.

DeFi Applications
- DeFi Use Cases:
  
  With the widespread adoption of tools such as crypto payment cards, energy-service payments will become more convenient, reducing intermediary fees and further improving transaction efficiency.
- Revenue-Sharing Stablecoins:
  
  Employing a revenue-sharing mechanism can stabilize the ecosystem token’s price and provide robust value support for energy-asset dividend distribution.
- DEX Growth:
  
  As decentralized exchange (DEX) trading volume and aggregator usage rise, on-chain records of gas station transaction data and storage-revenue streams will circulate more freely worldwide, offering investors greater liquidity and transparency.

5.2 AI Computing Power & DePIN Revenue Model

AI Computing Power Rental Income

When charging stations, storage systems, or new-energy vehicles are operating under low load or are idle, their onboard GPUs or NPUs can be leased out to external users. $Revenue_{AI}$ :

Revenue_{AI} = u \times C_{AI} \times R_{AI} \times T - O

Where $C_{AI}$ denotes the rentable computing power; $u$ denotes the computing-power utilization rate; $R_{AI}$ denotes the unit price of computing power; 𝑇 denotes the rental duration; and 𝑂 denotes electricity and depreciation costs.

DePIN Node Incentive Revenue

Node contribution is evaluated across four dimensions—data volume, data quality, timeliness, and uptime. The composite score for a DePIN node S is:

S = \omega_N \times \frac{ N }{ N_{max_{Q_R}} \times \frac{ R }{ R_{max_A} } }

DePIN Node Periodic Incentive $I_{DePIN}$ is

I_{DePIN} = \beta \times S^k \times \frac{ TVL_{Pool} }{ \sum S^k }

Where $\beta$ denotes the total ECO tokens distributed each period; N denotes the number of data reports submitted; $Q_R$ denotes the data completeness rate; R denotes message latency; A denotes the node’s online rate; $\omega$ denotes the metric weight; $k$ denotes the incentive curvature; and $TVL_{pool}$ denotes the current balance of the incentive pool.

DEX Growth

As trading volume on decentralized exchanges increases, AI computing-power and DePIN node incentive tokens will achieve higher liquidity through DEX, providing contributors with more convenient trading channels and market transparency.

5.3 Integrated Revenue and Dividend Mechanism

Total Revenue

The integrated revenue is:

Profit^{(\tau)} = \delta_{energy} + Revenue_{AI} + R_{station} - I_{DePIN} - C_{op}

Where $\tau$ defines the period, and total revenue is determined by storage revenue $\delta_{energy}$ , gas-station transaction revenue $R_{station}$ , AI computing-power rental revenue $Revenue_{AI}$ , node incentive payouts $I_{DePIN}$ , and operating expenses $C_{op}$ .

Revenue Distribution
- A portion of revenue is automatically distributed to ECO holders via smart contracts;
- A portion is used to incentivize DePIN nodes and AI computing-power contributors;
- The remainder serves as reinvestment capital for asset upgrades, system expansion, and market promotion.
DeFi Trends Boost
- The rise of consumer-grade DeFi applications and revenue-sharing stablecoins provides new tools for the dividend mechanism, making distributions more efficient and reducing volatility risk.
- Growth in decentralized exchanges (DEXs) offers better liquidity channels for dividend and incentive tokens, enhancing overall ecosystem liquidity and market transparency.

6.Technical Architecture

6.1 DePIN Architecture

The DePIN architecture follows the design principle of “Edge Awareness → On-Chain Mapping → Multi-Chain Collaboration → Ethereum Mainnet Finalization,” aiming to achieve efficient mapping and circulation of physical-world data onto the blockchain. As shown below, edge-layer IoT devices act as data collectors; a local TrustAgent module preprocesses and signs collected workload information to generate a Proof of Physical Work (PoPW), which is then submitted to Oracle nodes for legitimacy verification. Once validated, the PoPW is forwarded to DePIN application chains (App Chains), where it triggers the corresponding on-chain incentive logic and asset-registration processes. Simultaneously, the states of multiple DePIN application chains are aggregated via L2 rollups and submitted to the Ethereum mainnet for data finalization and settlement, thereby creating an end-to-end closed loop from edge computing to the L1 mainnet.

Edge Device Layer

IoT endpoints—such as gas station monitoring units, charging-pile sensors, and storage modules—continuously collect operational status and usage data of the target physical assets. These data include, but are not limited to, key metrics like energy consumption, revenue statistics, and equipment health. Each device is first assigned a unique Decentralized Identifier (DID) to ensure data provenance traceability and immutability. The Trust Agent module then performs field validation, cryptographic signing, and hashing on the raw data, packaging the signed output into a Proof of Physical Work (PoPW).

PoPW Generation & Validation

As illustrated below, once an IoT device completes local data packaging and signing, it submits the PoPW to a BoAT3 IoT Oracle node. The Oracle node retrieves the device’s public key via the DID contract, then verifies the PoPW signature. If valid, the PoPW hash is stored in a decentralized storage system, while only the hash pointer and timestamp are recorded on-chain—ensuring data verifiability and user privacy.

DePIN Application Chain Architecture

As shown below, the DePIN application chain (App Chain) hosts the smart contracts for specific ecosystem projects. DePIN smart contracts manage functional modules such as PoPW verification, asset registration, incentive distribution, and localized governance voting. To accommodate differences in business logic, incentive models, and economic design across projects, each App Chain not only inherits the security of the underlying L1 mainnet but can also independently extend its contract logic to support large-scale IoT device concurrency and high-frequency interactions. Moreover, all App Chains interoperate via L2 cross-chain protocols, enabling cross-chain synchronization and invocation of assets and data, thus creating a multi-chain collaborative ecosystem network.

Rollup L2 layer is responsible for multi-chain state aggregation and integration with the Ethereum mainnet. Whenever an App Chain triggers incentive distribution or completes an asset update, the resulting transactions and state roots are batched onto Rollup L2. Rollup L2 uses a unified aggregation contract to consolidate the states of all App Chains and, once predefined conditions are met, periodically submits these batched state proofs to the Ethereum mainnet for final state verification. This design allows the DePIN architecture to leverage the strong security guarantees of the Ethereum mainnet while using L2 to increase system throughput and reduce on-chain transaction costs, ensuring low cost and high availability even under high-concurrency IoT data interactions.

Data Storage & Oracle Module

After PoPW is validated by the Oracle, it is published to an off-chain decentralized storage system, and the corresponding hash and access-permission metadata are recorded on-chain. When downstream on-chain logic needs to verify a past record, it can invoke an oracle to fetch the raw data from the off-chain storage and compare it against the on-chain hash to confirm consistency. The BoAT3 Oracle provides standardized interfaces for oracle calls and data retrieval, ensuring trustworthy off-chain data storage.

6.2 AI Computing Power Empowerment

Data Preprocessing

(1) The ECO system leverages edge AI models to perform real-time processing—denoising, missing-value imputation, and outlier removal—on raw data collected by IoT devices, then stores it in a standardized format in the DePIN cache layer to facilitate subsequent calls by core AI models and on-chain attestations.

(2) The ECO system dynamically adjusts data structures and feature dimensions according to the real-time requirements of on-chain tasks. Different DePIN scenarios (such as fuel-transaction settlement, energy-consumption analytics, or yield-distribution calculations) emphasize different input features. This module automatically optimizes feature dimensions and selects appropriate encoding methods for the specific smart contract to be executed, performing dimensionality reduction or expansion while ensuring data usability. As a result, on-chain smart contracts receive more accurate, requirement-aligned inputs, significantly improving on-chain computation efficiency and scalability.

Intelligent Task Scheduling Algorithm

(1) The ECO system uses a scheduling algorithm based on Reinforcement Learning (RL), continuously collecting data across multiple dimensions—historical task execution logs, device online status, network bandwidth, and compute load—to build a multidimensional performance-prediction model. Through iterative training, the RL agent fine-tunes to discover the optimal task-distribution strategy, achieving:

Resource Balancing: Allocate compute and scheduling tasks across geographically dispersed DePIN nodes to prevent some nodes from becoming overloaded while others remain idle.
Minimizing Response Latency: For latency-sensitive tasks such as real-time energy monitoring or emergency fault diagnosis, prioritize assignment to edge nodes that are closer and have superior network conditions, thereby improving responsiveness to sudden events.
On-Chain Load Offloading: When on-chain concurrent calls surge, offload portions of pre-computation, model inference, or verification tasks to edge nodes via intelligent scheduling, alleviating on-chain contract execution pressure and ensuring smooth mainnet transactions.

(2) The ECO system supports dynamic compute leasing and AI task crowdsourcing mechanisms:

Compute Leasing Mode: Edge nodes with idle compute resources register those resources on the platform. When an upper-layer application requests compute leasing, the system automatically matches a suitable node and completes resource delivery and settlement, with leasing fees and usage duration recorded on-chain.
AI Task Crowdsourcing: Task publishers post specific AI inference or model-training jobs. Nodes bid based on their hardware configuration, network bandwidth, and historical reputation; the system then selects the optimal contractor. Smart contracts automate task allocation, result verification, and revenue distribution—encouraging edge-node participation and providing a decentralized, cost-controlled compute solution for AI inference and training.

6.3 Cross-Chain Gateway

The cross-chain gateway module is a key component for secure transfer of assets and data across multiple chains within the DePIN ecosystem. It establishes a trusted process of data packaging, signing, and verification between the source and target chains, ensuring the integrity and auditability of cross-chain operations. The detailed steps are as follows:

(1) The gateway contract on the source chain listens for smart-contract events related to cross-chain activity. Whenever an on-chain transaction involves asset transfer, identity-authentication updates, or other data requiring cross-chain transmission, the gateway contract packages the transaction details (e.g., sender address, recipient address, asset amount, or data hash) into a standardized message structure.

(2) After packaging, the message is hashed and signed using a threshold-signature BLS scheme, producing a data packet with the source-chain gateway’s digital signature. Relayers—decentralized nodes—are responsible for transmitting the signed packet to the target chain. Upon receiving the signed packet, relayers broadcast it so that the target chain can promptly retrieve the cross-chain message. During transport, relayers act only as forwarders and do not alter packet contents, preserving data reliability in transit.

(3) When the target-chain gateway contract receives the relayed packet, it first verifies the signature. The target gateway retrieves the source-gateway’s public key or queries a public-verification contract, then applies predefined validation logic. If the signature is valid, the target chain executes the instructions in the message, which may include:

Asset Minting: Minting equivalent tokens on the target chain’s bridge contract and assigning them to specified addresses.
Asset Burning: To prevent double-spending, the gateway contract burns tokens at specified addresses and logs the burn transaction details.
Data Updates: For cross-chain events involving off-chain data—such as identity information, permission settings, or governance resolutions—the target gateway calls the appropriate smart contract to update local state, ensuring consistency across ecosystem application chains.
Event Notification: After completing the cross-chain operation, the gateway emits result events and pushes them via the EventBus to subscribed upper-layer applications or clients to trigger subsequent logic.

7.Security & Compliance

7.1 Smart Contract Security

Contract Audits

All core smart contracts—including token-issuance, lock-up, dividend-distribution, and NFT-binding contracts—are professionally audited by CertiK and formally verified using the Certora platform. Line-by-line reviews cover: reentrancy and double-minting risks in mint/burn processes; potential integer overflows or unauthorized-access flaws in lock-up and dividend contracts; and common vulnerabilities (flash-loan or replay attacks) in NFT binding and secondary-market trading. This ensures contract logic remains consistent and secure under all boundary conditions.

Modular Architecture & DAO Governance

The ECO smart-contract system adopts a modular design, segmenting functions—“Underlying Asset Mapping,” “Token Issuance & Fund Custody,” “Revenue Distribution & Dividends,” “NFT Management & Secondary-Market Composition”—into independent modules that interact via predefined interfaces, reducing single-point-of-failure risk.

High-risk operations require confirmation by a multisignature account managed through the DAO governance module. Any permission change must be approved on-chain via a governance vote or multisig authorization, ensuring transparent, auditable permission management and preventing unauthorized upgrades or parameter changes.

7.2 Data Privacy Protection

The ECO ecosystem builds end-to-end privacy and security across off-chain collection, on-chain processing, identity authentication, and contract interactions.

Encrypted Collection

At the edge layer, each gas-station monitor, charging-pile sensor, new-energy generator, and storage cabinet embeds an ECDSA key pair (elliptic-curve cryptography) to locally encrypt and sign both real-time operational data and user-submitted zero-knowledge proofs. Data is first encrypted with AES-GCM, then signed with the device’s private key and stored locally. Only after verification and batch processing within a trusted execution environment does a digest of that data go on-chain.
Zero-Trust Channel

Encrypted data is transmitted to edge-compute nodes running Intel SGX TEEs. Within this hardware-isolated environment, data is decrypted, cleansed, normalized, and re-encrypted, ensuring all off-chain processing steps remain isolated and impervious to tampering or exfiltration.
Zero-Knowledge Proof Technology

On-chain scenarios requiring “Device-Operation Validity Verification,” “Transaction Authenticity Verification,” or “User-Compliance Verification” use zk-SNARK protocols. Proofs are generated off-chain and, along with the prover’s public key, submitted to smart contracts. Contracts confirm claims solely by verifying proofs—without accessing any plaintext data—ensuring both privacy and trust.
Decentralized Identity Authentication

The identity framework implements W3C DID and Verifiable Credentials (VC) standards, assigning each investor, device operator, and edge node a unique identifier. Using zero-knowledge claims, smart contracts verify KYC/AML compliance on-chain without exposing additional user data.

For compliance qualifications of token holders, the Foundation, and linked insurance-fund parties, ECO partners with third-party compliance agencies for joint audits. Verified compliance results are recorded on-chain as verifiable credentials, ensuring transparent, traceable compliance disclosures.

8.Global Promotion and Partnerships

Experts and Opinion Leaders

Invite globally renowned Crypto KOLs, energy research experts, and academic institutions to participate in project promotion and technical seminars, enhancing the project’s credibility.
Media and Official Cooperation

Leverage international mainstream media, social platforms, large-screen advertising, and in-depth self-media coverage to achieve global brand reach and multi-channel publicity.
Academic and Research Support

Partner with world-renowned universities to host blockchain and energy innovation symposiums, establish joint laboratories and scholarships, and attract top talent to join the project’s R&D efforts.

9.Project Roadmap

9.1 Short-Term Plan (2025 Q2–Q3)

Complete the ECO RWA digitization pilot, deploying data-collection and on-chain systems for gas stations, charging stations, storage equipment, and new-energy vehicles.
Officially launch the ECO ecosystem token, and finalize detailed rules for issuance, lock-up, dividends, and buybacks.
Issue the first tranche of Econn NFTs, and establish the on-chain and off-chain membership and identity-authentication platform.
Deploy DePIN pilot coverage for select gas stations and related devices, enabling full-chain on-chain recording of transaction and operational data.
Initially deploy the AI compute scheduling system and conduct pilots for charge/discharge arbitrage and edge-compute renting to validate the peak-valley arbitrage model.

9.2 Mid-Term Plan (2025 Q4–2026 Q2)

Expand ECO RWA digitization to additional physical-asset nodes (gas stations, charging stations, green power plants, new-energy vehicles).
Optimize ECO token distribution and release mechanisms, refining lock-up, buyback, and burn rules to boost market liquidity and user engagement.
Deepen Econn NFT use cases by enriching membership benefits (offline discounts, point redemptions, exclusive events), and foster community ecosystem growth.
Fully integrate DePIN to on-chain all transaction and operational data from every gas station and charging station, and enhance the node-incentive mechanism.
Perfect the AI compute scheduling system to achieve cross-region, cross-device intelligent data orchestration across the network for optimal yield.

9.3 Long-Term Plan (2026 and Beyond)

Achieve global deployment, building an energy Web3 ecosystem across multiple countries and regions to drive worldwide green-energy transition.
Continuously optimize smart contracts, AI scheduling, and DePIN to improve overall operational efficiency, security, and resilience.
Advance cross-chain interoperability, creating a complete ecosystem closed-loop across platforms, assets, and business lines.
Engage deeply with international regulators, academia, and industry partners to promote innovation in decentralized energy finance and sustainable development.

10.Conclusion and Future Outlook

The ECO project is dedicated to building a global decentralized Energy Web3 ecosystem. By integrating the digitalization and securitization of traditional energy assets, ecosystem-token incentives, NFT-based identity authentication, DePIN, and AI-powered intelligent scheduling, it realizes deep convergence of physical assets, digital finance, data intelligence, and network consensus.

The solutions outlined in this white paper fully address key concerns such as data privacy, fund security, cross-chain interoperability, and regulatory compliance, ensuring the system is transparent, stable, and practicable. We believe that through continuous optimization and implementation, the ECO project will drive global energy transition, cross-border payments, and digital-economy innovation, becoming a vital engine for the future of green energy.