Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming

Sophie Beatrice Knöttner; René Hofmann

Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming

Sophie Beatrice Knöttner (Speaker), René Hofmann

Sustainable Thermal Energy Systems

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

Challenges arising from the transition to a more sustainable energy system require increased flexibility on demand and supply side. In energy-intensive industry optimal operation of energy supply systems and energy consumption from the electric grid is a promising contribution to flexibility enhancement. In this paper an industrial plant model derived from characteristics in Austrian pulp and paper industry was implemented. A mixed-integer linear program was formulated to determine cost optimal commitment and economic dispatch of supply, conversion and thermal storage units for two different electricity tariff structures. Cost savings could be obtained for fluctuating electricity prices from day-ahead spot market compared to the current tariff structure and electricity prices. Furthermore, the resulting storage loading and discharging trajectories were altered when fluctuating day-ahead electricity prices were assumed.

Original language	English
Title of host publication	Proceedings of the 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems
Number of pages	16
Publication status	Published - 2018
Event	SEE.SDEWES2018 - 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems - Duration: 30 Jun 2018 → 4 Jul 2018

Conference

Conference	SEE.SDEWES2018 - 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems
Period	30/06/18 → 4/07/18

Research Field

Efficiency in Industrial Processes and Systems

Keywords

Mathematical Programming
Load Flexibility
Industrial Energy System
Combined-Heat-and-Power
Thermal Storage Integration
Energy Market

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

1 Doctoral Thesis

Development of methods and componts for future industrial energy supply with flexibility
Knöttner, S. B., 30 Sept 2024, 160 p.
Research output: Thesis › Doctoral Thesis

Cite this

@inproceedings{1e74a5bf954e486daaf26d684a88df77,

title = "Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming",

abstract = "Challenges arising from the transition to a more sustainable energy system require increased flexibility on demand and supply side. In energy-intensive industry optimal operation of energy supply systems and energy consumption from the electric grid is a promising contribution to flexibility enhancement. In this paper an industrial plant model derived from characteristics in Austrian pulp and paper industry was implemented. A mixed-integer linear program was formulated to determine cost optimal commitment and economic dispatch of supply, conversion and thermal storage units for two different electricity tariff structures. Cost savings could be obtained for fluctuating electricity prices from day-ahead spot market compared to the current tariff structure and electricity prices. Furthermore, the resulting storage loading and discharging trajectories were altered when fluctuating day-ahead electricity prices were assumed.",

keywords = "Mathematical Programming, Load Flexibility, Industrial Energy System, Combined-Heat-and-Power, Thermal Storage Integration, Energy Market, Mathematical Programming, Load Flexibility, Industrial Energy System, Combined-Heat-and-Power, Thermal Storage Integration, Energy Market",

author = "Kn{\"o}ttner, {Sophie Beatrice} and Ren{\'e} Hofmann",

year = "2018",

language = "English",

booktitle = "Proceedings of the 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems",

note = "SEE.SDEWES2018 - 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems ; Conference date: 30-06-2018 Through 04-07-2018",

}

Knöttner, SB & Hofmann, R 2018, Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming. in Proceedings of the 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems. SEE.SDEWES2018 - 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems, 30/06/18.

Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming. / Knöttner, Sophie Beatrice (Speaker); Hofmann, René.
Proceedings of the 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems. 2018.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming

AU - Hofmann, René

A2 - Knöttner, Sophie Beatrice

PY - 2018

Y1 - 2018

N2 - Challenges arising from the transition to a more sustainable energy system require increased flexibility on demand and supply side. In energy-intensive industry optimal operation of energy supply systems and energy consumption from the electric grid is a promising contribution to flexibility enhancement. In this paper an industrial plant model derived from characteristics in Austrian pulp and paper industry was implemented. A mixed-integer linear program was formulated to determine cost optimal commitment and economic dispatch of supply, conversion and thermal storage units for two different electricity tariff structures. Cost savings could be obtained for fluctuating electricity prices from day-ahead spot market compared to the current tariff structure and electricity prices. Furthermore, the resulting storage loading and discharging trajectories were altered when fluctuating day-ahead electricity prices were assumed.

AB - Challenges arising from the transition to a more sustainable energy system require increased flexibility on demand and supply side. In energy-intensive industry optimal operation of energy supply systems and energy consumption from the electric grid is a promising contribution to flexibility enhancement. In this paper an industrial plant model derived from characteristics in Austrian pulp and paper industry was implemented. A mixed-integer linear program was formulated to determine cost optimal commitment and economic dispatch of supply, conversion and thermal storage units for two different electricity tariff structures. Cost savings could be obtained for fluctuating electricity prices from day-ahead spot market compared to the current tariff structure and electricity prices. Furthermore, the resulting storage loading and discharging trajectories were altered when fluctuating day-ahead electricity prices were assumed.

KW - Mathematical Programming

KW - Load Flexibility

KW - Industrial Energy System

KW - Combined-Heat-and-Power

KW - Thermal Storage Integration

KW - Energy Market

KW - Mathematical Programming

KW - Load Flexibility

KW - Industrial Energy System

KW - Combined-Heat-and-Power

KW - Thermal Storage Integration

KW - Energy Market

M3 - Conference Proceedings with Oral Presentation

BT - Proceedings of the 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems

T2 - SEE.SDEWES2018 - 3rd South East European Conference on Sustainable Development of Energy, Water and Environment Systems

Y2 - 30 June 2018 through 4 July 2018

ER -

Modelling of Industrial Energy Systems for Flexibility Increase via Operation Optimization with Mixed-Integer Linear Programming

Abstract

Conference

Research Field

Keywords

UN SDGs

Fingerprint

Research output

Development of methods and componts for future industrial energy supply with flexibility

Cite this