Energy Cloud EEQ Exchange for Peak Demand Charge Reduction
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Solution Overview
Problem
Existing technologies fail to provide a system or method that effectively reduces peak demand and overall energy consumption, leading to high demand and consumption charges, and there is a need for a system to incentivize the adoption of technologies and practices that reduce energy demand and consumption.
Innovation Solution
An energy cloud value allocation system (e-cloud) that facilitates and controls the exchange of energy equivalent quantities (EEQ) between suppliers and consumers, utilizing a constant and variable energy supply to optimize energy delivery and consumption, and accounts for energy credits and debits based on EEQ contributions and demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional energy distribution systems are used, then energy supply reliability is maintained, but demand charges and consumption charges increase due to peak demand
Solution Approach 1:
The system performs preliminary action by storing energy equivalent quantities (EEQ) in advance during periods of low demand. The e-cloud accumulates EEQ from multiple suppliers before peak demand occurs, then deploys these pre-stored EEQ to meet peak demand, thereby avoiding high demand charges while maintaining supply reliability.
Solution Approach 2:
The e-cloud acts as an intermediary between EEQ suppliers and energy consumers. It receives EEQ contributions from suppliers, manages the EEQ pool, and distributes EEQ to consumers based on demand. This intermediary function enables efficient matching of supply and demand while reducing peak demand charges through strategic EEQ deployment.
2Loss of energy
If energy storage and distribution systems are implemented, then peak demand is reduced, but system complexity increases
Solution Approach 1:
The e-cloud performs multiple functions within a single system: it stores EEQ, manages accounting of energy credits and debits, facilitates exchanges between suppliers and consumers, and optimizes energy distribution. This multi-functionality reduces the need for separate complex systems while achieving peak demand reduction.
Solution Approach 2:
The system changes the parameter of energy representation by using energy equivalent quantities (EEQ) instead of traditional energy metrics. This parameter transformation enables flexible storage, trading, and management of energy value, simplifying the overall system architecture while effectively reducing peak demand.
3Productivity
If EEQ exchange system is established, then energy efficiency is improved, but measurement and accounting complexity increases
Solution Approach 1:
The e-cloud implements feedback mechanisms by continuously monitoring EEQ contributions from suppliers, tracking energy deliveries to consumers, and automatically adjusting energy credits and debits. This real-time feedback enables efficient energy management while automating the measurement and accounting processes, reducing manual complexity.
Data Source
AI summary
A system for accounting for and allocating energy value amongst (i) energy equivalent quantity (EEQ) suppliers associated with supplier accounts and that contribute EEQ to a total energy supply and (ii) energy consumers associated with a consumer account and that issue energy demands for energy. An energy cloud value allocation system (e-cloud) facilitates and controls an exchange of EEQ and energy between the EEQ suppliers and the energy consumers. The e-cloud receives EEQ contributions from the EEQ suppliers and generates energy credits, where a value of each energy credit is based on the EEQ contribution. The e-cloud is also configured to receive energy demands from the energy consumers and to satisfy the energy demands by delivering energy and EEQ to the consumers. Finally, the e-cloud generates energy debits, where a value of each energy debit is based on the EEQ that is delivered to the energy consumer from the e-cloud in response to energy demands.