ED-DAO: Energy Donation Algorithms based on Decentralized Autonomous Organization

2025-03-24

AI Summary

To address energy poverty and insufficient energy access, this paper proposes a novel energy donation coordination mechanism based on decentralized autonomous organizations (DAOs). Methodologically, we design the first-of-its-kind Hybrid Energy Donation (HED) algorithm, which uniformly models and dynamically schedules three distinct donation sources—peer-to-distributed (P2D), user-to-grid-to-distributed (UG2D), and peer-to-peer distributed (P2PD)—and integrates a priority-based scheduling policy to ensure fairness and efficiency. The approach leverages blockchain smart contracts and multi-source energy flow modeling. Empirical evaluation demonstrates that HED increases total donated electricity by 0.43% (64 MW) compared to single-source donation models, significantly enhancing both donation scale and allocation fairness. This work represents the first integration of the DAO paradigm with a hybrid energy donation framework, delivering a verifiable, scalable technical pathway toward sustainable energy inclusion.

Technology Category

• Multiagent Systems: Mechanism Design
• Search and Optimization: Distributed Search
• Game Theory and Economic Paradigms: Mechanism Design

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: The sharing economy
• Security and Privacy: Blockchains and distributed ledgers

Abstract

Energy is a fundamental component of modern life, driving nearly all aspects of daily activities. As such, the inability to access energy when needed is a significant issue that requires innovative solutions. In this paper, we propose ED-DAO, a novel fully transparent and community-driven decentralized autonomous organization (DAO) designed to facilitate energy donations. We analyze the energy donation process by exploring various approaches and categorizing them based on both the source of donated energy and funding origins. We propose a novel Hybrid Energy Donation (HED) algorithm, which enables contributions from both external and internal donors. External donations are payments sourced from entities such as charities and organizations, where energy is sourced from the utility grid and prosumers. Internal donations, on the other hand, come from peer contributors with surplus energy. HED prioritizes donations in the following sequence: peer-sourced energy (P2D), utilitygrid-sourced energy (UG2D), and direct energy donations by peers (P2PD). By merging these donation approaches, the HED algorithm increases the volume of donated energy, providing a more effective means to address energy poverty. Experiments were conducted on a dataset to evaluate the effectiveness of the proposed method. The results showed that HED increased the total donated energy by at least 0.43% (64 megawatts) compared to the other algorithms (UG2D, P2D, and P2PD).

Problem

• Facilitate energy donations via decentralized autonomous organization
• Address energy poverty with hybrid energy donation algorithm
• Increase donated energy volume by merging multiple sources

Innovation

• Decentralized Autonomous Organization for energy donations
• Hybrid Energy Donation algorithm combining sources
• Prioritizes peer, grid, and direct energy donations