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

Abdulrezzak Zekiye, Ouns Bouachir, Öznur Özkasap, Moayad Aloqaily

TL;DR

The paper introduces ED-DAO, a fully decentralized autonomous organization for managing energy donations to alleviate energy poverty. It combines a governance model with tokenized participation (ENRD) and a two-pronged Energy Exchange that supports both trading and donations. A novel Hybrid Energy Donation (HED) algorithm merges external and internal energy sources to maximize total energy donations, showing a measured performance improvement over baseline methods. Simulations on a 69-entity Estonian microgrid dataset demonstrate HED's effectiveness, while the ED-DAO framework highlights the potential for transparent, donor-driven energy assistance scalable to real-world deployments.

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).

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

TL;DR

The paper introduces ED-DAO, a fully decentralized autonomous organization for managing energy donations to alleviate energy poverty. It combines a governance model with tokenized participation (ENRD) and a two-pronged Energy Exchange that supports both trading and donations. A novel Hybrid Energy Donation (HED) algorithm merges external and internal energy sources to maximize total energy donations, showing a measured performance improvement over baseline methods. Simulations on a 69-entity Estonian microgrid dataset demonstrate HED's effectiveness, while the ED-DAO framework highlights the potential for transparent, donor-driven energy assistance scalable to real-world deployments.

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).

Paper Structure

This paper contains 21 sections, 1 equation, 5 figures, 4 tables, 1 algorithm.

Table of Contents

  1. Introduction
  2. Related Works
  3. ED-DAO System Model
  4. Governance
  5. Tokenization
  6. Energy Exchange
  7. Energy Trading
  8. Energy Donation
  9. Energy Donations
  10. Money Donation
  11. Donation Payments to Energy Source
  12. Donations Payments to Utility Grid (UG2D)
  13. Donations Payments to Prosumers (P2D)
  14. Peer-to-peer Donations (P2PD)
  15. Hybrid Energy Donation (HED)
  16. ...and 6 more sections

Figures (5)

  • Figure 1: ED-DAO Overview where donors decide who can receive donations by voting using ENRD tokens
  • Figure 2: Overview of different donation scenarios
  • Figure 3: Overview of our proposed HED mechanism
  • Figure 4: (a) Average of donated energy across different balance scenarios for UG2D, P2D, P2PD, and HED and (b) Source of average donated energy across different balance scenarios for HED.
  • Figure 5: (a) Expenses of donated energy in Euro, and (b) Cost of externally donated energy per megawatt.