Optimization of Biomass and Coal Mixtures on Co-firing Systems at Power Plants Using Deterministic Algorithm
- DOI
- 10.2991/978-94-6463-078-7_26How to use a DOI?
- Keywords
- Co-firing; Optimization; Deterministic; SQP; Interior Point
- Abstract
Co-firing is a combustion system that involves two or more types of fuel in one combustion chamber. The abundant availability of biomass and the depletion of availability are the background for this co-firing. This study aims to determine the optimum composition of coal and biomass and to optimize the mixture. Optimization begins by modeling the objective and constraint functions. The variables used are HHV which represents the calorific value of the fuel, S as a parameter of exhaust emissions, RB as a parameter for preventing incidents, and HBB as a parameter of fuel prices. Then proceed with optimization using Matlab software and using SQP and Interior Point algorithms. The objective function value obtained from the optimization using the SQP method has met all the specified constraints, while in the optimization using the Interior Point method there is one variable that does not meet the constraints.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Gunawan Nugroho AU - Irvin Bagus Fadilah Wijaya AU - Sudaryono AU - Muhammad Ahyudi AU - Petrus Tri Bhaskoro AU - Totok Ruki Biyanto PY - 2022 DA - 2022/12/26 TI - Optimization of Biomass and Coal Mixtures on Co-firing Systems at Power Plants Using Deterministic Algorithm BT - Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Mechanical and Electrical) (MIMSE-M-E-I-2022) PB - Atlantis Press SP - 269 EP - 283 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-078-7_26 DO - 10.2991/978-94-6463-078-7_26 ID - Nugroho2022 ER -