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Updated: Jun 27, 2026

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

Published on: January 18, 2021

Optimal load allocation of multiple fuel boilers.

Alex C Dunn¹, Yan Yi Du

¹AfriTek, Inc., 14019 Halprin Creek Dr., Cypress, TX 77429, USA. aclexi@afritek.biz

ISA Transactions

|December 3, 2008

Summary

This study introduces an efficient method for optimizing industrial boiler fuel allocation, achieving significant cost savings up to 3% through a simple gradient search algorithm. This approach offers practical benefits for manufacturers managing steam generation costs.

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Last Updated: Jun 27, 2026

Improving the Combustion Performance of a Hybrid Rocket Engine using a Novel Fuel Grain with a Nested Helical Structure

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Big Box Biochar Kiln Operation and Best Practices

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Area of Science:

Industrial Engineering
Operations Research
Energy Systems

Background:

Industrial boilers often consume multiple fuel types simultaneously.
Optimizing fuel allocation is crucial for reducing operating costs and environmental impact.
Existing methods may rely on complex soft computing techniques.

Purpose of the Study:

To present a novel methodology for the optimal allocation of multiple industrial boilers with multi-fuel consumption.
To offer an alternative to complex soft computing methods with a gradient-search-based approach.
To demonstrate significant cost savings achievable through the proposed methodology.

Main Methods:

Development of a second-order gradient search algorithm.
Implementation without specialized optimization software.
Rapid convergence of the proposed algorithm.

Main Results:

Optimal allocation of multiple industrial boilers consuming multiple fuel types.
Achieved savings up to 3% of overall operating costs in example cases.
Demonstrated ease of implementation and rapid convergence.

Conclusions:

The proposed gradient search methodology provides an effective and accessible solution for industrial boiler fuel allocation.
Significant operational cost reductions are attainable, particularly relevant with current energy prices.
This approach offers a practical alternative for manufacturers seeking to optimize steam generation efficiency.