Modeling and model predictive control of the BioPower combined heat and power (CHP) plant

被引：21

作者：

Kortela, J. ^{[1
]}

Jamsa-Jounela, S-L. ^{[1
]}

机构：

[1] Aalto Univ, Sch Chem Technol, FI-00076 Aalto, Finland

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2015年 / 65卷

关键词：

Combustion; Biomass; Fuel quality; MPC; Moisture; Advanced control; CONTROL STRATEGY; SOFT-SENSOR; COMBUSTION; BOILER;

D O I：

10.1016/j.ijepes.2014.10.043

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a model predictive control (MPC) strategy for BioGrate boiler, compensating the main disturbances caused by variations in fuel quality such as the moisture content of fuel, and variations in fuel flow. The MPC utilizes models, the fuel moisture soft-sensor to estimate water evaporation, and the fuel flow calculations to estimate the thermal decomposition of dry fuel, to handle these variations, the inherent large time constants, and long time delays of the boiler. The MPC strategy is compared with the method currently used in the BioPower 5 CHP plant. Finally, the results are presented, analyzed and discussed. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：453 / 462

页数：10

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