Energy flexible management of industrial technical building services: A synergetic data-driven and simulation approach for cooling towers

Christiene Schulze; Martin Plank; Johannes Linzbach; Christoph Herrmann; Sebastian Thiede

doi:10.1016/j.procir.2019.03.193

Energy flexible management of industrial technical building services: A synergetic data-driven and simulation approach for cooling towers

Christiene Schulze, Martin Plank, Johannes Linzbach, Christoph Herrmann, Sebastian Thiede

Research output: Contribution to journal › Conference article › Academic › peer-review

6 Citations (Scopus)

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Abstract

Energy flexible manufacturing systems offer new opportunities to deal with upcoming challenges of volatile energy supply. In this context, flexibilization of energy intensive system elements is regarded as promising approach. In particular, technical building services (TBS) such as cooling towers exhibit crucial potentials due to their cross-linking within the manufacturing system. Against this background, technical capabilities and operational strategies for energy flexible management of industrial cooling towers are analyzed, basing upon empiric data from a plant located in Germany. A synergetic approach of data-driven analysis and scenario-based simulation is applied to demonstrate benefits of energy flexible TBS management. Further, an approach for practical implementation is proposed within the concept.

Original language	English
Pages (from-to)	775-780
Journal	Procedia CIRP
Volume	81
DOIs	https://doi.org/10.1016/j.procir.2019.03.193
Publication status	Published - 2019
Externally published	Yes
Event	52nd CIRP Conference on Manufacturing Systems, CIRP CMS 2019 - Ljubljana, Slovenia Duration: 12 Jun 2019 → 14 Jun 2019 Conference number: 52

Keywords

Energy flexibility
Cooling tower management
Cyber-physical production system
Data analytics
Scenario-based simulation

UN SDGs

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

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10.1016/j.procir.2019.03.193Licence: CC BY-NC-ND

Schulze2019energyFinal published version, 1.18 MBLicence: CC BY-NC-ND

Cite this

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title = "Energy flexible management of industrial technical building services: A synergetic data-driven and simulation approach for cooling towers",

abstract = "Energy flexible manufacturing systems offer new opportunities to deal with upcoming challenges of volatile energy supply. In this context, flexibilization of energy intensive system elements is regarded as promising approach. In particular, technical building services (TBS) such as cooling towers exhibit crucial potentials due to their cross-linking within the manufacturing system. Against this background, technical capabilities and operational strategies for energy flexible management of industrial cooling towers are analyzed, basing upon empiric data from a plant located in Germany. A synergetic approach of data-driven analysis and scenario-based simulation is applied to demonstrate benefits of energy flexible TBS management. Further, an approach for practical implementation is proposed within the concept.",

keywords = "Energy flexibility, Cooling tower management, Cyber-physical production system, Data analytics, Scenario-based simulation",

author = "Christiene Schulze and Martin Plank and Johannes Linzbach and Christoph Herrmann and Sebastian Thiede",

year = "2019",

doi = "10.1016/j.procir.2019.03.193",

language = "English",

volume = "81",

pages = "775--780",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

note = "52nd CIRP Conference on Manufacturing Systems, CIRP CMS 2019, CIRP CMS 2019 ; Conference date: 12-06-2019 Through 14-06-2019",

}

TY - JOUR

T1 - Energy flexible management of industrial technical building services

T2 - 52nd CIRP Conference on Manufacturing Systems, CIRP CMS 2019

AU - Schulze, Christiene

AU - Plank, Martin

AU - Linzbach, Johannes

AU - Herrmann, Christoph

AU - Thiede, Sebastian

N1 - Conference code: 52

PY - 2019

Y1 - 2019

N2 - Energy flexible manufacturing systems offer new opportunities to deal with upcoming challenges of volatile energy supply. In this context, flexibilization of energy intensive system elements is regarded as promising approach. In particular, technical building services (TBS) such as cooling towers exhibit crucial potentials due to their cross-linking within the manufacturing system. Against this background, technical capabilities and operational strategies for energy flexible management of industrial cooling towers are analyzed, basing upon empiric data from a plant located in Germany. A synergetic approach of data-driven analysis and scenario-based simulation is applied to demonstrate benefits of energy flexible TBS management. Further, an approach for practical implementation is proposed within the concept.

AB - Energy flexible manufacturing systems offer new opportunities to deal with upcoming challenges of volatile energy supply. In this context, flexibilization of energy intensive system elements is regarded as promising approach. In particular, technical building services (TBS) such as cooling towers exhibit crucial potentials due to their cross-linking within the manufacturing system. Against this background, technical capabilities and operational strategies for energy flexible management of industrial cooling towers are analyzed, basing upon empiric data from a plant located in Germany. A synergetic approach of data-driven analysis and scenario-based simulation is applied to demonstrate benefits of energy flexible TBS management. Further, an approach for practical implementation is proposed within the concept.

KW - Energy flexibility

KW - Cooling tower management

KW - Cyber-physical production system

KW - Data analytics

KW - Scenario-based simulation

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U2 - 10.1016/j.procir.2019.03.193

DO - 10.1016/j.procir.2019.03.193

M3 - Conference article

SN - 2212-8271

VL - 81

SP - 775

EP - 780

JO - Procedia CIRP

JF - Procedia CIRP

Y2 - 12 June 2019 through 14 June 2019

ER -

Energy flexible management of industrial technical building services: A synergetic data-driven and simulation approach for cooling towers

Abstract

Keywords

UN SDGs

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