Combined Energy Network for Peak Load Shifting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing energy supply systems face challenges in efficiently managing fluctuating energy demand, leading to overdesign of networks and increased investment costs due to the need for excess capacity to handle peak loads, especially with the integration of unpredictable renewable energy sources like wind and solar power.
Innovation Solution
An energy supply system that combines electrical energy with chemical energy in the form of fluid operating materials, using hydrogen gas and carbon-containing materials to generate fluid operating materials, which are then converted back into electrical energy, allowing for a more efficient and flexible distribution network with a control unit to manage energy flow and residual gases, thereby optimizing network capacity and reducing peak demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the supply network is designed for maximum peak energy requirement, then security of supply is improved, but investment costs increase disproportionately
Solution Approach 1:
The patent changes the temporal distribution parameter of energy supply by introducing controlled peak load shifting. Energy management units coordinate to move energy consumption from peak periods to off-peak periods, fundamentally altering the load profile parameter. This allows the network to be designed for average load rather than peak load, reducing capacity requirements and investment costs while maintaining reliability through temporal redistribution.
Solution Approach 2:
The patent implements dynamic energy management where consumption patterns are actively adjusted in real-time. Energy management units continuously monitor and control energy consumption, dynamically shifting loads between peak and off-peak periods. This dynamic approach replaces static overdesign with adaptive resource allocation, maintaining security of supply while optimizing network capacity utilization.
2Reliability
If excess capacity is built to handle consumption peaks, then security of supply is improved, but average usable capacity is reduced
Solution Approach 1:
The patent transforms the load distribution parameter by implementing peak load shifting strategies. Instead of having excess capacity sitting idle during off-peak periods, the system actively redistributes energy consumption temporally. This parameter change ensures that network capacity is fully utilized across different time periods, maximizing average usable capacity while maintaining the ability to handle peak demands through coordinated load management.
Solution Approach 2:
The patent ensures continuous utilization of network capacity by continuously shifting energy consumption from peak to off-peak periods. Energy management units maintain ongoing coordination to keep the network operating near optimal capacity levels throughout the day, eliminating periods of underutilization. This continuous active management maximizes the average usable capacity of the network infrastructure.
3Reliability
If more expensive technology is used for higher network capacity, then energy supply reliability is improved, but cost-effectiveness deteriorates
Solution Approach 1:
The patent changes the operational parameter of the network from peak-oriented design to average-load-oriented design through peak load shifting. By coordinating energy consumption temporally, the system allows use of more cost-effective network technology rated for average loads rather than expensive peak-rated infrastructure. This parameter transformation maintains energy supply reliability through smart management while selecting economically optimal technology.
Solution Approach 2:
The patent applies dynamic load management to replace static expensive peak-capacity infrastructure with flexible, cost-effective average-capacity infrastructure. Energy management units dynamically adjust consumption patterns to match the capabilities of more economical network technology, maintaining reliability through active coordination rather than through over-engineered static capacity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables a more efficient design of energy supply networks with reduced capacity requirements, better utilization of renewable energy sources, and improved stability by allowing for flexible energy allocation and storage, addressing the inefficiencies and high costs associated with traditional systems.
Implementation Method 1
fluid operating materials can be generated using hydrogen gas and carbon-containing material
Implementation Method 2
fluid operating materials taken from the second energy supply network can be converted into electrical energy
Data Source
AI summary
The invention relates to an energy supply system (2) having a first energy supply network (4) including a power network (36) for transporting electrical energy (46), and a second energy supply network (6) having a transport system (60) for fluid operating materials (56), said energy supply system comprising at least one energy-generating unit (8), and through electrical energy and carbon-containing material (50, 54, 58) the fluid operating materials are produced and fed into the second energy supply network, and further comprising at least one local energy management unit (10), by means of which fluid operating materials extracted from the second energy supply network can be converted into electrical energy (74, 76, 78) and can be fed into a local power network (90). The second energy supply network (6) has a transport system (62) for the return transport of carbon dioxide-containing residual gases (58), which are incurred during the energy recycling of the fluid operating materials (56) by one or more energy consumers (11) and/or energy management units (10).