Create a web application using V0 for the Crude Blending Ratio Optimization Project, where the primary user is a process engineer in a refinery.
📌 Context:
In the as-is system, process engineers manually review historical operational data to identify periods when the heat transfer coefficient (HTC) drops—an indicator of potential fouling in heat exchangers. These drops often signal issues with crude oil blend quality, especially incompatibility between crude types that leads to increased fouling and reduced efficiency.
This manual process is time-consuming and prone to oversight, especially when evaluating the effect of different crude blend combinations on fouling behavior.
✅ Objective – To-Be System:
Build a web application that enables process engineers to:
Summarize and visualize historical data of crude blends, heat transfer coefficients, and fouling resistance.
Highlight suspicious data points (e.g., significant HTC drops or high fouling resistance) that may indicate problematic blends.
Allow users to interactively select crude oil combinations and view associated trends in:
Heat transfer performance
Fouling resistance
Operational periods and anomalies
Include a crude compatibility evaluator based on fouling resistance or other predictive indicators (such as calculated incompatibility indices or simulation results).
Provide filters and comparison tools by date range, crude type, blend ratio, and unit (e.g., CDU/VDU heat exchangers).
🔧 Functional Components:
Dashboard View:
Time-series plots of HTC, fouling resistance, and throughput
Visual flags on anomaly periods or significant performance deviations
Crude Blend Explorer:
Input/select combinations of crude types (e.g., Crude A + Crude B)
Simulated/recorded results for fouling risk and compatibility
Anomaly Detection Module:
Highlight low-performing blends or drops in performance
Display related data points: date, blend ratio, fouling index
Data Import & Source:
Backend fed by refinery historian or lab data: daily blend composition, fouling resistance values, unit performance metrics.
🧑💻 Target User:
Process engineers responsible for monitoring crude unit performance and adjusting blend strategies to avoid fouling-related inefficiencies.
I'll create a comprehensive web application for crude blending ratio optimization tailored for process engineers. This will include interactive dashboards, anomaly detection, and blend analysis tools.
I've created a comprehensive crude blending optimization web application with the following key features:
The application enables process engineers to quickly identify problematic crude blends, analyze historical performance trends, and make data-driven decisions to optimize heat exchanger performance and minimize fouling-related inefficiencies.
I need to fix the import path error. Let me correct the file structure:
The error was caused by an incorrect import path. I've fixed it by:
app.tsx fileapp/page.tsx to directly import the Dashboard component from the correct path (../components/dashboard)Now the application should load properly without any import errors. The main page will render the Dashboard component which contains all the crude blending optimization functionality.