Computer-implemented method and arrangement for optimizing a power supply of at least one building
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Solution Overview
Problem
Current methods for optimizing the energy supply of multiple buildings at different locations are time-consuming and expensive due to the need for manual data collection and input, limiting the ability to optimize energy consumption and generation across large numbers of similarly designed facilities.
Innovation Solution
An automated method that integrates multiple data sources via APIs for techno-economic calculation, including automated data validation and integration of energy-saving measures, allowing for simultaneous optimization of energy consumption and generation across multiple buildings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual data collection and input methods are used for optimizing energy supply of multiple buildings, then data accuracy can be ensured through verification, but the process becomes time-consuming and expensive
Solution Approach 1:
The patent uses templates to create standardized copies of building data structures and optimization parameters. These templates can be replicated across multiple buildings with similar characteristics, allowing automated population of data fields while maintaining consistency and accuracy standards without manual verification of each building individually.
Solution Approach 2:
The patent performs preliminary data validation and template preparation before actual optimization runs. By pre-configuring validation rules, data requirements, and optimization parameters in templates, the system automatically verifies data accuracy during the replication process rather than requiring post-processing verification for each building.
2Manufacturing precision
If manual data collection and input methods are used for optimizing energy supply of multiple buildings, then detailed building-specific analysis can be performed, but project planning costs increase significantly
Solution Approach 1:
The patent segments the optimization process into template-defined modules that can be independently configured and executed. Each building's optimization is divided into standardized segments (energy consumption analysis, generation potential, storage requirements, control strategies) that can be processed automatically while maintaining building-specific customization through template parameters.
Solution Approach 2:
The patent creates universal templates that can be applied across multiple building types and locations. These templates contain multi-functional data structures that adapt to different building characteristics while using the same optimization framework, reducing per-building analysis costs while maintaining building-specific analysis quality.
3Measurement precision
If comprehensive techno-economic co-simulation is performed for each building individually, then optimization accuracy is improved, but the complexity of data management across multiple buildings increases
Solution Approach 1:
The patent merges multiple building optimization processes into a unified template-based framework. By combining data collection, validation, simulation, and analysis into integrated templates that can be replicated across buildings, the system reduces data management complexity while maintaining comprehensive techno-economic co-simulation capabilities for each building.
4Manufacturing precision
If detailed building information is collected and analyzed manually, then accurate energy consumption and generation profiles can be created, but the effort and cost for data processing increase
Solution Approach 1:
The patent uses templates to copy and replicate proven data collection and analysis approaches across multiple buildings. By establishing standardized energy profile templates based on building characteristics, the system automatically generates accurate energy consumption and generation profiles without manual data processing for each building, significantly improving productivity while maintaining accuracy.
Data Source
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AI summary
The present invention relates to a computer-implemented method for optimizing the energy supply of at least one building by means of a data processing device, in which a customer data record is received from a customer data storage device via a first interface, and building data records are received via at least a second interface, and a co-simulation is carried out on the basis of the customer data record and the building data records, taking into account technical and economic parameters of the building's energy supply, characterized in that the building data records are determined by the data processing device on the basis of the customer data record by automatically performing an internet search with a scraping tool and accessing databases with publicly available information. The invention further relates to a corresponding arrangement and a corresponding computer program.