Operational guide to stabilize, standardize and increase power plant efficiency

Vieira, L.W., Marques, A.D., Duarte, J., Zanardo, R.P., Schneider, P.S., Viana, F.A.C., da Silva Neto, A.J., Centeno, F.R., et al. (2022). Operational guide to stabilize, standardize and increase power plant efficiency. Applied Energy 315 e118973. 10.1016/j.apenergy.2022.118973.

[thumbnail of Article (2).pdf] Text
Article (2).pdf - Accepted Version
Restricted to Repository staff only until 5 April 2024.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB)


Complex engineering systems, such as power plants, deliver their best performance when operating along a designed range of some priority parameters. However, plant field operation may deviate from design conditions, and new references must be identified. Actions towards high-quality operation can be supported by fine modeling, which helps building decision support tools. The present work proposes a standardization strategy for the operation of an actual coal-fired power plant based on a Design of Experiment approach, partially tested onsite and finally accomplished with surrogate models built upon a 2 year long database. Artificial Neural Networks (ANNs) and Mass and Energy balances (M&Es) are used to represent the plant’s steam generator and its mills subset, which is the core of an operational guide to increase system efficiency under actual operation. Primary and secondary air flows, pulverized coal outlet temperature, speed of the dynamic classifier, primary air flow, excess O, primary and secondary air pressures are the seven controllable factors selected as the most relevant ones among an extensive set of parameters, able to perform effective maneuvers. The application of the operational guide indicates combinations of ranges of the seven controllable parameters that allow for achieving steam generator efficiency within the 84.0% to 88.92% range. The proposed methodology aims as well to improve safe and stable conditions to a system that undergoes operation different than the one prescribed by the original design. The study case results show an opportunity to raise efficiency by up to 2.28% during operation, which represents a reduction in coal consumption by 3.1 t/h and above 6% on CO emissions.

Item Type: Article
Uncontrolled Keywords: Coal-fired power plant; Surrogate model; Optimal operating strategy; Plant operation
Research Programs: Energy, Climate, and Environment (ECE)
Energy, Climate, and Environment (ECE) > Sustainable Service Systems (S3)
Depositing User: Luke Kirwan
Date Deposited: 11 Apr 2022 07:21
Last Modified: 11 Apr 2022 13:44
URI: https://pure.iiasa.ac.at/17948

Actions (login required)

View Item View Item