Nanogrid and Vehicle Operation Simulation for Regional Energy Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for managing nanogrids and vehicles fail to optimize both power and transport operations simultaneously, leading to inefficiencies in energy distribution and increased costs, particularly in regions with dispersed renewable energy sources and fluctuating demand.
Innovation Solution
A computer-based support system that simulates and visualizes power supply-demand and transport information across nanogrids and vehicles, enabling the determination of an operation policy that considers multiple values such as profit, CO2 reduction, and self-sustaining periods during disasters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If independent optimization of power and transport is performed, then each domain can be managed separately, but simultaneous optimization of both power and transport cannot be achieved
Solution Approach 1:
The patent merges the power management system and transport management system into a unified simulation platform. The simulation device integrates power supply-demand data and transport information, allowing simultaneous optimization of both domains through a single coordinated system rather than separate independent systems.
Solution Approach 2:
The simulation device performs multiple functions: it processes power supply-demand information, processes transport information, calculates power status, calculates running status, and generates integrated simulation results. This multi-functional approach enables the system to handle both power and transport optimization simultaneously within a single platform.
2Productivity
If comprehensive simulation of power and transport is performed, then simultaneous optimization is achieved, but system complexity increases
Solution Approach 1:
The simulation device segments the complex optimization problem into distinct processing modules: a power information processing unit that handles power supply-demand data, a transport information processing unit that handles transport information, and a result generation unit that integrates both. This segmentation manages complexity by organizing functions into separate, manageable components.
Solution Approach 2:
The simulation device acts as an intermediary that receives data from multiple sources (power systems and transport systems), processes them through standardized calculation routines, and produces integrated results. This intermediary approach simplifies the interface between complex subsystems by providing a unified processing layer.
3Adaptability or versatility
If multiple values (profit, CO2 reduction, self-sustaining period) are considered simultaneously, then comprehensive optimization is achieved, but decision-making complexity increases
Solution Approach 1:
The simulation device allows users to adjust parameters such as profit targets, CO2 reduction goals, and self-sustaining period requirements. By making these criteria adjustable parameters rather than fixed constraints, the system can adapt to different optimization priorities and generate results based on varying user needs without increasing fundamental system complexity.
Data Source
AI summary
It is provided a support system for supporting management of a regional energy system, comprising an arithmetic device and a storage device, wherein the support system is configured to: receive, by the arithmetic device, power supply-demand information on nanogrid equipment and transport information relating to transport by the vehicle; perform, by the arithmetic device, simulation through use of the power supply-demand information and the transport information to calculate nanogrid operation information indicating a power status of the nanogrid equipment during a predetermined period and vehicle operation information indicating a running status and charging and discharging statuses of the vehicle; and generate, by the arithmetic device data for displaying both data organized in terms of power supply and demand for power in the nanogrid equipment and data in terms of transport by the vehicle on a single screen based on the nanogrid operation information and the vehicle operation information.