Facility Energy Control Simulation for Stable Saving Scenarios

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Solution Overview

Problem

Existing facility control systems rely heavily on expert analysis and experience for energy-saving control, leading to unstable energy savings and inefficiencies due to the complexity of constructing control scenarios for various facilities and equipment.

Innovation Solution

A central control apparatus and method that simulates consumption power of facilities by collecting prediction environment data, setting facility information, and modeling energy use based on control scenarios, allowing for intuitive and efficient energy management without requiring extensive expertise.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If expert analysis and experience are used for energy-saving control, then control scenarios can be constructed for facilities, but the process requires much time and expertise while energy saving stability is poor

Engineering Contradiction:
Improveenergy saving stabilityVSAvoidtime for constructing control scenario
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables facilities to automatically generate and optimize control scenarios without expert intervention. The simulation module autonomously models facility operations, predicts energy consumption, and determines optimal control strategies based on environmental data and facility characteristics, eliminating dependence on expert analysis while maintaining stable energy savings

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the manual expert analysis process with an automated simulation system. The simulation module uses computational models to predict energy consumption and optimize control scenarios, substituting human expert judgment with algorithmic processing that is both faster and more consistent, thereby reducing time loss while improving reliability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If control scenarios are constructed for various facilities and equipment, then energy-saving control can be performed, but the complexity of constructing control scenarios increases

Engineering Contradiction:
Improveapplicability to various facilitiesVSAvoidcomplexity of control scenario construction
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The simulation module is designed with universal applicability to handle multiple types of facilities (air conditioners, heaters, water heaters, etc.) through a unified simulation framework. The system uses standardized input parameters and simulation processes that can be applied across different facility types, eliminating the need for complex, facility-specific control scenario construction while maintaining high adaptability

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system manages complexity by focusing on parameter-based simulation rather than complex control logic construction. The simulation module takes facility parameters, environmental parameters, and operational parameters as inputs, and automatically determines optimal control strategies by varying these parameters. This parameter-driven approach simplifies the construction process while maintaining versatility across different facility types

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS9983653B2Central control apparatus for controlling facilities, facility control system including the same, and method of controlling facilities
Publication Date: 2018.05.29 LG ELECTRONICS INC
  • US9983653B2 patent drawing
  • US9983653B2 patent drawing
  • US9983653B2 patent drawing

AI summary

A central control apparatus for controlling facilities, a facility control system including the same, and a method of controlling facilities may be provided. The central control apparatus may include a control unit performing control on facilities or equipment. The control unit may include a data collection module configured to collect prediction environment data including weather information of a control target region, a system setting module configured to set information of at least one facility in the control target region, and an energy use amount simulation module configured to model the at least one facility, based on the information of the at least one facility, set at least one control scenario applicable to the at least one facility, and simulate consumption power of the modeled at least one facility that operates according to the at least one control scenario.