Use Cases

This section describes the extensions to the high level use case

Consume power#

The aim of decarbonization is to seduce Consumers to use renewable energy sources (RES) as much as possible. Increased liquidity of the RES-pool (Energy Web Exchange) is therefore important.

Flow of events#

  1. Consumer selects contract with Trader (outside system for now)
  2. Trader matches consumption orders to production using Energy Web Exchange for EACs (collateral)

Produce power#

Producers need to provide power and EACs to increase liquidity of the RES-pool.

Flow of events#

  1. Producers put sell orders in the RES-pool using EACs and reputation
  2. Traders are seeking and providing liquidity
  3. Traders give feedback to Producers and try to solve possible mismatch
  4. Traders are actively seeking new Producers/EACs to enhance the RES-pool

Data token pool#

Reputation of Producers is based on matching accurate production (metered) data to the amount that was given in the sell order.

Flow of events#

  1. Each producing device (Producer) publishes a "mirrored-to-the-device" data token pool within the Ocean platform
  2. The underlying dataset is used by multiple stakeholders (Stakers, Auditors, Optimizers)
  3. Stakers provide liquidity by curating/investigating Producer's behavior within the Energy Web ecosystem (providing liquidity in the RES-pool, # matches between production data and sell orders, # claimed EACs, # sell orders in # RES-pools etc.)
  4. Auditors use the dataset to signal the match between production data and sell orders
  5. Optimizers are data scientists using machine learning to forecast production behavior as a signal for Producers


  1. Every Energy Web registered power device has a corresponding data token pool within the Ocean ecosystem
  2. Consumers are represented by Traders putting buy orders into the RES-pool
  3. The Energy Web Echange is a RES-pool of EACs, our system treats them as real amount orders of power consumtion/production as in a regular energy market