Eco-Industrial Park Energy Integration via Inter-Time Zone Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for transitioning industrial complexes to eco-industrial parks face challenges in efficiently integrating waste heat across different processes and time zones, leading to energy losses and suboptimal greenhouse gas emissions reduction, due to limitations in existing software and methodologies that fail to systematically consider inter-time zone and inter-system energy integration.
Innovation Solution
The development of systems, computer readable media, and methods that implement a hybrid approach for simultaneous inter-time zones and inter-systems energy integration, using a novel methodology that analyzes thermal energy loads across multiple time zones and systems, identifying optimal pinch points and matching solutions to maximize energy recovery and reduce GHG emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional independent process integration methods are used, then implementation simplicity is maintained, but energy recovery efficiency deteriorates due to failure to systematically consider inter-time zone and inter-system energy integration
Solution Approach 1:
The patent segments the industrial park into multiple time zones (e.g., morning, afternoon, evening zones) and systematically analyzes energy loads and waste heat sources in each zone. This segmentation enables targeted energy integration strategies for different temporal periods, improving overall energy recovery efficiency while managing complexity through structured division of the integration problem
Solution Approach 2:
The patent extends conventional single-time-point energy integration to multi-dimensional integration across multiple time zones and systems. By adding the time zone dimension to the integration analysis, the system captures temporal variations in energy loads and waste heat availability, significantly improving energy recovery efficiency beyond what single-point methods can achieve
2Object-generated harmful factors
If existing software methodologies are used, then software capability requirements are maintained at current levels, but GHG emissions reduction effectiveness deteriorates due to inability to perform hybrid inter-time zones-inter-systems energy integration
Solution Approach 1:
The patent merges multiple integration approaches (inter-time zones integration, inter-systems integration, and hybrid combinations) into a unified software methodology. This merging enables comprehensive energy integration analysis that simultaneously considers temporal variations across time zones and interactions between different systems, achieving superior GHG emissions reduction that cannot be attained by existing single-method software tools
Solution Approach 2:
The patent develops a universal software methodology that can perform multiple types of energy integration analysis (inter-time zones, inter-systems, and hybrid approaches) within a single framework. This multi-functional software capability enables users to address various energy integration scenarios and achieve optimized GHG emissions reduction across different industrial park configurations
3Productivity
If systematic hybrid inter-time zones-inter-systems energy integration is implemented, then energy efficiency improvements are maximized, but computational complexity and analysis time increase
Solution Approach 1:
The patent performs preliminary energy load assessments and waste heat source identifications for each time zone before conducting the full hybrid integration analysis. This preliminary action organizes data and identifies key integration opportunities in advance, enabling the systematic hybrid integration to proceed more efficiently and reducing the overall computation time while maintaining maximum energy efficiency improvements
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 radical energy efficiency improvements and significant GHG emissions reduction in eco-industrial parks by systematically integrating waste heat across processes and time zones, overcoming previous limitations in energy integration and software capabilities.
Implementation Method 1
The applicable literatures show that it is very difficult, with the current state-of-art methods and tools, to manufacture eco-industrial parks to work from scratch
Implementation Method 2
systems, computer readable media, program product/code, and methods for providing enhanced energy design and retrofit of, and greenhouse gas reduction for, eco-industrial parks through enhanced energy recovery methodologies and system designs
Data Source
AI summary
Systems, computer readable media, and program product/code for providing enhanced energy efficiency and reduced greenhouse gases for an eco-industrial park with retrofit in mind and eco-industrial park retrofit with retrofit in mind, are provided. An exemplary system includes a computer configured to perform the operations of identifying hybrid inter-time zones inter-area matching solutions through selecting best energy efficient routes, generating technically viable energy efficient eco-industrial parks alternatives, identifying best generation and allocation of energy utilities, and synthesizing a combined heat and power utility system that satisfies the eco-park demands during each time zone as well as rendering its best operating scenario at each specific time-zone. This inter-time-zones inter-area integration can include identifying the best and the second best matching solutions among processes in the eco-industrial park for spatial energy integration and the best and second best matching solutions among all time-zones for temporal energy integration and greenhouse gas emissions reduction for the optimal synthesis or retrofit of eco-industrial parks.


