Process Industry Energy Planning for Carbon Reduction and Asset Health
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Solution Overview
Problem
Manufacturing industries face challenges in optimizing carbon emission reduction and achieving carbon credits due to the complexity of considering carbon emission reduction indices, asset health, remaining useful life, carbon credits associated with green energy resources, and return on investment, without an effective advisory solution with built-in process knowledge.
Innovation Solution
A system and method that identifies processes and assets, determines energy demand profiles, and optimizes green energy acquisition using an optimization model, considering asset health, green energy availability, and weather forecasts to minimize carbon emissions and maximize carbon credits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If green energy resources are utilized to reduce carbon emission, then carbon emission reduction is improved, but the complexity of optimizing multiple factors (asset health, remaining useful life, carbon credits, return on investment) increases
Solution Approach 1:
The patent introduces an advisory solution as an intermediary system that mediates between the manufacturing industry and green energy resources. This advisory solution processes multiple optimization factors (carbon emission reduction index, asset health index, remaining useful life, carbon credits, and return on investment) to provide recommended green energy acquisition strategies, thereby reducing the complexity burden on the industry while achieving carbon emission reduction goals
2Reliability
If multiple optimization factors are considered simultaneously, then carbon emission reduction effectiveness is improved, but the difficulty of detecting and measuring all factors increases
Solution Approach 1:
The patent segments the optimization process into distinct measurable components: carbon emission reduction index, asset health index, remaining useful life calculation, carbon credits calculation, and return on investment calculation. Each segment can be measured and optimized independently, with the advisory solution integrating these segmented measurements to provide comprehensive optimization recommendations
Data Source
AI summary
The present invention relates to a method and a system for optimizing a carbon emission reduction in a process industry. The method comprises identifying one or more processes being run in the process industry and identifying one or more assets associated with the each of the running processes, the information of one or more assets being stored in an asset repository. Further, the method comprises determining an energy demand profile of each of the processes, said profile identifies an energy requirement in running of the process and determining the carbon emission of the process based on the energy demand profile of each of the processes. The method further includes identifying an availability of one or more green energy resources for acquiring the green energy by the process industry and receiving additional data comprising at least one of: an asset health index of the assets in each of the processes, an acquirable amount of the green energy from each of the available green energy resources, wherein each green energy resource is associated with a carbon weightage and a cost, and a weather forecast for a predetermined time period for a location of the process industry. Further, the method comprises executing an optimization model to provide at least one recommendation providing a green energy requirement for each of the processes based on the received additional data, the energy demand profile and the carbon emission of the process.