Publication detail

A stochastic programming approach to optimization of combustion plant utilizing coal and biomass

TOUŠ, M. POPELA, P. PAVLAS, M. STEHLÍK, P. DRÁPELA, T.

Original Title

A stochastic programming approach to optimization of combustion plant utilizing coal and biomass

English Title

A stochastic programming approach to optimization of combustion plant utilizing coal and biomass

Type

conference paper

Language

en

Original Abstract

Fossil fuels still dominate in current energy production plants. However increasing interest in renewable fuels is observable. The optimization approach introduced in this paper supports sustainable biomass-based fuels integration into the existing energy system. The plant involved in the case study produces approximately 3400 TJ of heat and 460 GWh of electricity per annum. It secures delivery of heat to residential areas, public institutions and industrial enterprises. First, the conditions for effective biomass utilization are identified using mid-term operation planning (one year, time step of one month) procedure (optimum amount of fuels burned in every boiler with maximum profit with respect to export limitation). Then sensitivity analysis of parameters such as fuel prices, energy prices and government subsidies for renewable energy production is performed in order to find conditions appropriate for biomass utilization. The plant model was built and validated using real operation data which enhances its practical application. A limited resource of various types of biomass over a year represents typical inventory type constraints and makes the problem multi-period. Some of the equalities representing transformation functions (e.g. input-output model of boiler and turbine) and inequalities representing limitations (e.g. biomass availability, boiler capacity) in the model are nonlinear and therefore it is non-linear programming problem (NLP). Even though a phenomenon of increased biomass utilization for energy production is discussed world-wide, effective biomass integration using advanced optimization techniques is rarely solved. The model introduced in this paper is implemented in GAMS (General Algebraic Modeling System). It is high-level modeling system, which provides an environment for mathematical programming and optimization. Excel interface was developed to provide user-friendly and comfortable use of GAMS.

English abstract

Fossil fuels still dominate in current energy production plants. However increasing interest in renewable fuels is observable. The optimization approach introduced in this paper supports sustainable biomass-based fuels integration into the existing energy system. The plant involved in the case study produces approximately 3400 TJ of heat and 460 GWh of electricity per annum. It secures delivery of heat to residential areas, public institutions and industrial enterprises. First, the conditions for effective biomass utilization are identified using mid-term operation planning (one year, time step of one month) procedure (optimum amount of fuels burned in every boiler with maximum profit with respect to export limitation). Then sensitivity analysis of parameters such as fuel prices, energy prices and government subsidies for renewable energy production is performed in order to find conditions appropriate for biomass utilization. The plant model was built and validated using real operation data which enhances its practical application. A limited resource of various types of biomass over a year represents typical inventory type constraints and makes the problem multi-period. Some of the equalities representing transformation functions (e.g. input-output model of boiler and turbine) and inequalities representing limitations (e.g. biomass availability, boiler capacity) in the model are nonlinear and therefore it is non-linear programming problem (NLP). Even though a phenomenon of increased biomass utilization for energy production is discussed world-wide, effective biomass integration using advanced optimization techniques is rarely solved. The model introduced in this paper is implemented in GAMS (General Algebraic Modeling System). It is high-level modeling system, which provides an environment for mathematical programming and optimization. Excel interface was developed to provide user-friendly and comfortable use of GAMS.

Keywords

Optimization, modelling, stochastic programming, biomass co-firing, combustion plant

RIV year

2010

Released

23.06.2010

Publisher

Brno University of technology

Location

Brno

ISBN

978-80-214-4120-0

Book

MENDEL 2010

Pages from

584

Pages to

589

Pages count

6

BibTex


@inproceedings{BUT35088,
  author="Michal {Touš} and Pavel {Popela} and Martin {Pavlas} and Petr {Stehlík} and Tomáš {Drápela}",
  title="A stochastic programming approach to optimization of combustion plant utilizing coal and biomass",
  annote="Fossil fuels still dominate in current energy production plants. However increasing interest in renewable fuels is observable. The optimization approach introduced in this paper supports sustainable biomass-based fuels integration into the existing energy system. The plant involved in the case study produces approximately
3400 TJ of heat and 460 GWh of electricity per annum. It secures delivery of heat to residential
areas, public institutions and industrial enterprises. First, the conditions for effective biomass
utilization are identified using mid-term operation planning (one year, time step of one month) procedure
(optimum amount of fuels burned in every boiler with maximum profit with respect to export limitation).
Then sensitivity analysis of parameters such as fuel prices, energy prices and government subsidies
for renewable energy production is performed in order to find conditions appropriate for biomass
utilization. The plant model was built and validated using real operation data which enhances its practical
application. A limited resource of various types of biomass over a year represents typical inventory
type constraints and makes the problem multi-period. Some of the equalities representing transformation
functions (e.g. input-output model of boiler and turbine) and inequalities representing limitations
(e.g. biomass availability, boiler capacity) in the model are nonlinear and therefore it is non-linear programming
problem (NLP). Even though a phenomenon of increased biomass utilization for energy production
is discussed world-wide, effective biomass integration using advanced optimization techniques
is rarely solved. The model introduced in this paper is implemented in GAMS (General Algebraic Modeling
System). It is high-level modeling system, which provides an environment for mathematical programming
and optimization. Excel interface was developed to provide user-friendly and comfortable
use of GAMS.",
  address="Brno University of technology",
  booktitle="MENDEL 2010",
  chapter="35088",
  howpublished="print",
  institution="Brno University of technology",
  year="2010",
  month="june",
  pages="584--589",
  publisher="Brno University of technology",
  type="conference paper"
}