---
_id: '12896'
abstract:
- lang: eng
text: 'Poly-3-hydroxybutyrate (P3HB) is a promising alternative to persistent conventional
plastics, capable of biodegrading within months. However, its microbial-driven
degradation raises concerns about nutrient immobilization and impacts on plant
growth. The biodegradation process occurs in multiple stages, during which shifts
in the microbial community can alter soil properties and influence utilization
of both intrinsic and polymer-derived organic matter. This study employs a novel
approach to investigate how nutrient dynamics during the late stage of P3HB biodegradation
affect lettuce (Lactuca sativa var. capitata cv. Brilliant) growth. Soil-to-sand
mixtures (100_0, 80_20, 60_40, 40_60, 20_80, and 0_100 ratios) were spiked with
P3HB, allowed to biodegrade for eight weeks, and then planted with sprouted lettuce
seeds, which were cultivated for another eight weeks. P3HB addition inhibited
plant growth and root development in all soil-sand mixtures. However, increasing
the sand proportion enhanced plants'' nitrogen content by 13-45 % compared to
100 % soil + P3HB. Depending on the sand-to-soil ratio, P3HB stimulated most enzymes
involved in carbon, nitrogen and phosphorus acquisition. Basal and substrate-induced
respirations were 9-209 % higher under P3HB addition compared to P3HB-free soil,
likely due to an increase in the stabilized soil organic matter fraction. Residual
P3HB analysis revealed that diluting soil with 20 % sand accelerated biodegradation,
despite a decrease in bacterial abundance. In the 80_20 variant, the microbial
community shifted toward higher fungal abundance, 19 % more than in 100_0 soil.
While microbial proliferation was observed, it effect was outweighed by negative
impacts on dry aboveground and root biomass. The highest P3HB biodegradation rate
occurred in the 80_20 variant, underscoring soil texture as a critical factor
in P3HB biodegradation. While microbial communities can degrade bioplastics, this
process may compromise plant nutrient availability and hinder plant growth. '
article_number: '121618'
author:
- first_name: Martin
full_name: Brtnicky, Martin
last_name: Brtnicky
- first_name: Adnan
full_name: Mustafa, Adnan
last_name: Mustafa
- first_name: Jiri
full_name: Holatko, Jiri
last_name: Holatko
- first_name: Anna
full_name: Gunina, Anna
id: '87876'
last_name: Gunina
- first_name: Gabrijel
full_name: Ondrasek, Gabrijel
last_name: Ondrasek
- first_name: Muhammad
full_name: Naveed, Muhammad
last_name: Naveed
- first_name: Tereza
full_name: Hammerschmiedt, Tereza
last_name: Hammerschmiedt
- first_name: Eliska
full_name: Kamenikova, Eliska
last_name: Kamenikova
- first_name: Saud
full_name: Alamri, Saud
last_name: Alamri
- first_name: Manzer H.
full_name: Siddiqui, Manzer H.
last_name: Siddiqui
- first_name: Antonin
full_name: Kintl, Antonin
last_name: Kintl
- first_name: Tivadar
full_name: Baltazar, Tivadar
last_name: Baltazar
- first_name: Ondrej
full_name: Malicek, Ondrej
last_name: Malicek
- first_name: Jiri
full_name: Kucerik, Jiri
last_name: Kucerik
citation:
ama: 'Brtnicky M, Mustafa A, Holatko J, et al. Soil texture-driven modulation of
poly-3-hydroxybutyrate (P3HB) biodegradation: Microbial shifts, and trade-offs
between nutrient availability and lettuce growth. Environmental Research.
2025;278. doi:10.1016/j.envres.2025.121618'
apa: 'Brtnicky, M., Mustafa, A., Holatko, J., Gunina, A., Ondrasek, G., Naveed,
M., Hammerschmiedt, T., Kamenikova, E., Alamri, S., Siddiqui, M. H., Kintl, A.,
Baltazar, T., Malicek, O., & Kucerik, J. (2025). Soil texture-driven modulation
of poly-3-hydroxybutyrate (P3HB) biodegradation: Microbial shifts, and trade-offs
between nutrient availability and lettuce growth. Environmental Research,
278, Article 121618. https://doi.org/10.1016/j.envres.2025.121618'
bjps: 'Brtnicky M et al. (2025) Soil Texture-Driven Modulation of
Poly-3-Hydroxybutyrate (P3HB) Biodegradation: Microbial Shifts, and Trade-Offs
between Nutrient Availability and Lettuce Growth. Environmental Research
278.'
chicago: 'Brtnicky, Martin, Adnan Mustafa, Jiri Holatko, Anna Gunina, Gabrijel Ondrasek,
Muhammad Naveed, Tereza Hammerschmiedt, et al. “Soil Texture-Driven Modulation
of Poly-3-Hydroxybutyrate (P3HB) Biodegradation: Microbial Shifts, and Trade-Offs
between Nutrient Availability and Lettuce Growth.” Environmental Research
278 (2025). https://doi.org/10.1016/j.envres.2025.121618.'
chicago-de: 'Brtnicky, Martin, Adnan Mustafa, Jiri Holatko, Anna Gunina, Gabrijel
Ondrasek, Muhammad Naveed, Tereza Hammerschmiedt, u. a. 2025. Soil texture-driven
modulation of poly-3-hydroxybutyrate (P3HB) biodegradation: Microbial shifts,
and trade-offs between nutrient availability and lettuce growth. Environmental
Research 278. doi:10.1016/j.envres.2025.121618,
.'
din1505-2-1: 'Brtnicky,
Martin ; Mustafa, Adnan ;
Holatko, Jiri ; Gunina,
Anna ; Ondrasek, Gabrijel
; Naveed, Muhammad ; Hammerschmiedt,
Tereza ; Kamenikova, Eliska
; u. a.: Soil texture-driven modulation of poly-3-hydroxybutyrate (P3HB)
biodegradation: Microbial shifts, and trade-offs between nutrient availability
and lettuce growth. In: Environmental Research Bd. 278. San Diego, Calif.,
Elsevier BV (2025)'
havard: 'M. Brtnicky, A. Mustafa, J. Holatko, A. Gunina, G. Ondrasek, M. Naveed,
T. Hammerschmiedt, E. Kamenikova, S. Alamri, M.H. Siddiqui, A. Kintl, T. Baltazar,
O. Malicek, J. Kucerik, Soil texture-driven modulation of poly-3-hydroxybutyrate
(P3HB) biodegradation: Microbial shifts, and trade-offs between nutrient availability
and lettuce growth, Environmental Research. 278 (2025).'
ieee: 'M. Brtnicky et al., “Soil texture-driven modulation of poly-3-hydroxybutyrate
(P3HB) biodegradation: Microbial shifts, and trade-offs between nutrient availability
and lettuce growth,” Environmental Research, vol. 278, Art. no. 121618,
2025, doi: 10.1016/j.envres.2025.121618.'
mla: 'Brtnicky, Martin, et al. “Soil Texture-Driven Modulation of Poly-3-Hydroxybutyrate
(P3HB) Biodegradation: Microbial Shifts, and Trade-Offs between Nutrient Availability
and Lettuce Growth.” Environmental Research, vol. 278, 121618, 2025, https://doi.org/10.1016/j.envres.2025.121618.'
short: M. Brtnicky, A. Mustafa, J. Holatko, A. Gunina, G. Ondrasek, M. Naveed, T.
Hammerschmiedt, E. Kamenikova, S. Alamri, M.H. Siddiqui, A. Kintl, T. Baltazar,
O. Malicek, J. Kucerik, Environmental Research 278 (2025).
ufg: 'Brtnicky, Martin u. a.: Soil texture-driven modulation of poly-3-hydroxybutyrate
(P3HB) biodegradation: Microbial shifts, and trade-offs between nutrient availability
and lettuce growth, in: Environmental Research 278 (2025).'
van: 'Brtnicky M, Mustafa A, Holatko J, Gunina A, Ondrasek G, Naveed M, et al. Soil
texture-driven modulation of poly-3-hydroxybutyrate (P3HB) biodegradation: Microbial
shifts, and trade-offs between nutrient availability and lettuce growth. Environmental
Research. 2025;278.'
date_created: 2025-05-08T08:07:20Z
date_updated: 2025-05-08T08:11:31Z
department:
- _id: DEP8000
doi: 10.1016/j.envres.2025.121618
external_id:
pmid:
- '40252798'
intvolume: ' 278'
keyword:
- Bioplastics
- Nutrient acquisition
- Plant growth reduction
- Soil microbes
- Soil texture.
language:
- iso: eng
place: San Diego, Calif.
pmid: '1'
publication: Environmental Research
publication_identifier:
eissn:
- 1096-0953
issn:
- 0013-9351
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'Soil texture-driven modulation of poly-3-hydroxybutyrate (P3HB) biodegradation:
Microbial shifts, and trade-offs between nutrient availability and lettuce growth'
type: scientific_journal_article
user_id: '83781'
volume: 278
year: '2025'
...
---
_id: '12215'
abstract:
- lang: eng
text: Water-level reduction frequently occurs in deep reservoirs, but its effect
on dissolved oxygen concentration is not well understood. In this study we used
a well-established water quality model to illustrate effects of water level dynamics
on oxygen concentration in Rappbode Reservoir, Germany. We then systematically
elucidated the potential of selective withdrawal to control hypoxia under changing
water levels. Our results documented a gradual decrease of hypolimnetic oxygen
concentration under decreasing water level, and hypoxia occurred when the initial
level was lower than 410 m a.s.l (71 m relative to the reservoir bottom). We also
suggested that changes of hypoxic region, under increasing hypolimnetic withdrawal
discharge, followed a unimodal trajectory with the maximum hypoxic area projected
under the discharge between 3 m3/sec and 4 m3/sec. Besides, our results illustrated
the extent of hypoxia was most effectively inhibited if the withdrawal strategy
was applied at the end of stratification with the outlet elevation at the deepest
part of the reservoir. Moreover, hypoxia can be totally avoided under a hybrid
elevation withdrawal strategy using surface withdrawal during early and mid stratification,
and deep withdrawal at the end of stratification. We further confirmed the decisive
role of thermal structure in the formation of hypoxia under water-level reduction
and withdrawal strategies. We believe the conclusions from this study can be applied
to many deep waters in the temperate zone, and the results should guide stakeholders
to mitigate negative impacts of hypoxia on aquatic ecosystems.
author:
- first_name: Chenxi
full_name: Mi, Chenxi
last_name: Mi
- first_name: Karsten
full_name: Rinke, Karsten
last_name: Rinke
- first_name: Tom
full_name: Shatwell, Tom
id: '86424'
last_name: Shatwell
orcid: 0000-0002-4520-7916
citation:
ama: Mi C, Rinke K, Shatwell T. Optimizing selective withdrawal strategies to mitigate
hypoxia under water-level reduction in Germany’s largest drinking water reservoir.
Journal of Environmental Sciences. 2024;146(12):127-139. doi:10.1016/j.jes.2023.06.025
apa: Mi, C., Rinke, K., & Shatwell, T. (2024). Optimizing selective withdrawal
strategies to mitigate hypoxia under water-level reduction in Germany’s largest
drinking water reservoir. Journal of Environmental Sciences, 146(12),
127–139. https://doi.org/10.1016/j.jes.2023.06.025
bjps: Mi C, Rinke K and Shatwell T (2024) Optimizing Selective Withdrawal
Strategies to Mitigate Hypoxia under Water-Level Reduction in Germany’s Largest
Drinking Water Reservoir. Journal of Environmental Sciences 146,
127–139.
chicago: 'Mi, Chenxi, Karsten Rinke, and Tom Shatwell. “Optimizing Selective Withdrawal
Strategies to Mitigate Hypoxia under Water-Level Reduction in Germany’s Largest
Drinking Water Reservoir.” Journal of Environmental Sciences 146, no. 12
(2024): 127–39. https://doi.org/10.1016/j.jes.2023.06.025.'
chicago-de: 'Mi, Chenxi, Karsten Rinke und Tom Shatwell. 2024. Optimizing selective
withdrawal strategies to mitigate hypoxia under water-level reduction in Germany’s
largest drinking water reservoir. Journal of Environmental Sciences 146,
Nr. 12: 127–139. doi:10.1016/j.jes.2023.06.025,
.'
din1505-2-1: 'Mi, Chenxi ; Rinke,
Karsten ; Shatwell, Tom:
Optimizing selective withdrawal strategies to mitigate hypoxia under water-level
reduction in Germany’s largest drinking water reservoir. In: Journal of Environmental
Sciences Bd. 146. Amsterdam, Elsevier BV (2024), Nr. 12, S. 127–139'
havard: C. Mi, K. Rinke, T. Shatwell, Optimizing selective withdrawal strategies
to mitigate hypoxia under water-level reduction in Germany’s largest drinking
water reservoir, Journal of Environmental Sciences. 146 (2024) 127–139.
ieee: 'C. Mi, K. Rinke, and T. Shatwell, “Optimizing selective withdrawal strategies
to mitigate hypoxia under water-level reduction in Germany’s largest drinking
water reservoir,” Journal of Environmental Sciences, vol. 146, no. 12,
pp. 127–139, 2024, doi: 10.1016/j.jes.2023.06.025.'
mla: Mi, Chenxi, et al. “Optimizing Selective Withdrawal Strategies to Mitigate
Hypoxia under Water-Level Reduction in Germany’s Largest Drinking Water Reservoir.”
Journal of Environmental Sciences, vol. 146, no. 12, 2024, pp. 127–39,
https://doi.org/10.1016/j.jes.2023.06.025.
short: C. Mi, K. Rinke, T. Shatwell, Journal of Environmental Sciences 146 (2024)
127–139.
ufg: 'Mi, Chenxi/Rinke, Karsten/Shatwell, Tom: Optimizing selective withdrawal
strategies to mitigate hypoxia under water-level reduction in Germany’s largest
drinking water reservoir, in: Journal of Environmental Sciences 146 (2024),
H. 12, S. 127–139.'
van: Mi C, Rinke K, Shatwell T. Optimizing selective withdrawal strategies to mitigate
hypoxia under water-level reduction in Germany’s largest drinking water reservoir.
Journal of Environmental Sciences. 2024;146(12):127–39.
date_created: 2024-12-08T19:42:28Z
date_updated: 2024-12-11T13:49:18Z
department:
- _id: DEP8022
doi: 10.1016/j.jes.2023.06.025
intvolume: ' 146'
issue: '12'
keyword:
- Hypoxia
- Water-level reduction
- Hypolimnetic water withdrawal
- Stratification phenology
- Water quality simulation
- Sediment oxygen demand
language:
- iso: eng
page: 127-139
place: Amsterdam
publication: Journal of Environmental Sciences
publication_identifier:
eissn:
- 1878-7320
issn:
- 1001-0742
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Optimizing selective withdrawal strategies to mitigate hypoxia under water-level
reduction in Germany's largest drinking water reservoir
type: scientific_journal_article
user_id: '83781'
volume: 146
year: '2024'
...
---
_id: '13224'
abstract:
- lang: eng
text: This paper presents a robust methodology for optimizing CO2 emissions and
electricity costs in industrial applications, with the aim of developing a flexible
and dynamic energy management strategy that balances sustainability and cost-efficiency.
Addressing the growing need for sustainable and economically viable energy solutions
amidst the global urgency of climate change mitigation, the proposed approach
is based on dynamic energy management techniques that minimize dependence on grid
electricity, which can fluctuate between energy import and export. A flexible
cost function is developed to simultaneously account for CO2 emissions and electricity
prices, enabling a balance between environmental impact and operational costs.
The optimization framework employs Mixed-Integer Linear Programming (MILP) to
derive the optimal energy management strategy, showcasing significant potential
for reducing both CO2 emissions and electricity costs. Although the methodology
is demonstrated in a specific industrial setting, its flexible design ensures
applicability across various energy profiles and operational scenarios, making
it relevant for a wide range of industrial applications.
author:
- first_name: Seyed Davood
full_name: Mousavi, Seyed Davood
id: '79148'
last_name: Mousavi
- first_name: Martin
full_name: Griese, Martin
id: '52308'
last_name: Griese
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
citation:
ama: Mousavi SD, Griese M, Schulte T. Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories. IEEE; 2024. doi:10.1109/icecer62944.2024.10920418
apa: Mousavi, S. D., Griese, M., & Schulte, T. (2024). Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories. In 2024
International Conference on Electrical and Computer Engineering Researches (ICECER).
2024 International Conference on Electrical and Computer Engineering Researches
(ICECER), Gaborone, Botswana . IEEE. https://doi.org/10.1109/icecer62944.2024.10920418
bjps: 'Mousavi SD, Griese M and Schulte T (2024) Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories. [Piscataway,
NJ]: IEEE.'
chicago: 'Mousavi, Seyed Davood, Martin Griese, and Thomas Schulte. Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories. 2024
International Conference on Electrical and Computer Engineering Researches (ICECER).
[Piscataway, NJ]: IEEE, 2024. https://doi.org/10.1109/icecer62944.2024.10920418.'
chicago-de: 'Mousavi, Seyed Davood, Martin Griese und Thomas Schulte. 2024. Dynamic
Optimization of CO2 Emissions and Electricity Costs in Smart Factories.
2024 International Conference on Electrical and Computer Engineering Researches
(ICECER). [Piscataway, NJ]: IEEE. doi:10.1109/icecer62944.2024.10920418,
.'
din1505-2-1: 'Mousavi, Seyed Davood
; Griese, Martin ; Schulte,
Thomas: Dynamic Optimization of CO2 Emissions and Electricity
Costs in Smart Factories. [Piscataway, NJ] : IEEE, 2024'
havard: S.D. Mousavi, M. Griese, T. Schulte, Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories, IEEE, [Piscataway, NJ], 2024.
ieee: 'S. D. Mousavi, M. Griese, and T. Schulte, Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories. [Piscataway, NJ]: IEEE,
2024. doi: 10.1109/icecer62944.2024.10920418.'
mla: Mousavi, Seyed Davood, et al. “Dynamic Optimization of CO2 Emissions
and Electricity Costs in Smart Factories.” 2024 International Conference on
Electrical and Computer Engineering Researches (ICECER), IEEE, 2024, https://doi.org/10.1109/icecer62944.2024.10920418.
short: S.D. Mousavi, M. Griese, T. Schulte, Dynamic Optimization of CO2
Emissions and Electricity Costs in Smart Factories, IEEE, [Piscataway, NJ], 2024.
ufg: 'Mousavi, Seyed Davood/Griese, Martin/Schulte, Thomas: Dynamic Optimization
of CO2 Emissions and Electricity Costs in Smart Factories, [Piscataway,
NJ] 2024.'
van: 'Mousavi SD, Griese M, Schulte T. Dynamic Optimization of CO2 Emissions
and Electricity Costs in Smart Factories. 2024 International Conference on Electrical
and Computer Engineering Researches (ICECER). [Piscataway, NJ]: IEEE; 2024.'
conference:
end_date: 2024-12-06
location: 'Gaborone, Botswana '
name: 2024 International Conference on Electrical and Computer Engineering Researches
(ICECER)
start_date: 2024-12-04
date_created: 2025-09-29T09:36:25Z
date_updated: 2025-10-06T13:05:59Z
department:
- _id: DEP6020
- _id: DEP5022
doi: 10.1109/icecer62944.2024.10920418
keyword:
- CO2 Reduction
- Electricity Cost Minimization
- Life Cycle Assessment
- MILP
- Smart-E-Factory
- Dynamic Energy Management
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 2024 International Conference on Electrical and Computer Engineering
Researches (ICECER)
publication_status: published
publisher: IEEE
status: public
title: Dynamic Optimization of CO2 Emissions and Electricity Costs in Smart
Factories
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '12804'
abstract:
- lang: eng
text: 'Data in many applications follows systems of Ordinary Differential Equations
(ODEs). This paper presents a novel algorithmic and symbolic construction for
covariance functions of Gaussian Processes (GPs) with realizations strictly following
a system of linear homogeneous ODEs with constant coefficients, which we call
LODE-GPs. Introducing this strong inductive bias into a GP improves modelling
of such data. Using smith normal form algorithms, a symbolic technique, we overcome
two current restrictions in the state of the art: (1) the need for certain uniqueness
conditions in the set of solutions, typically assumed in classical ODE solvers
and their probabilistic counterparts, and (2) the restriction to controllable
systems, typically assumed when encoding differential equations in covariance
functions. We show the effectiveness of LODE-GPs in a number of experiments, for
example learning physically interpretable parameters by maximizing the likelihood.'
author:
- first_name: Andreas
full_name: Besginow, Andreas
id: '61743'
last_name: Besginow
- first_name: Markus
full_name: Lange-Hegermann, Markus
id: '71761'
last_name: Lange-Hegermann
citation:
ama: Besginow A, Lange-Hegermann M. Constraining Gaussian Processes to Systems
of Linear Ordinary Differential Equations. Vol 35. (Koyejo S, Mohamed S, Agarwal
A, et al., eds.). Curran Associates, Inc.; 2022:29386-29399.
apa: Besginow, A., & Lange-Hegermann, M. (2022). Constraining Gaussian Processes
to Systems of Linear Ordinary Differential Equations. In S. Koyejo, S. Mohamed,
A. Agarwal, D. Belgrave, K. Cho, A. Oh, & Neural Information Processing Systems
Foundation (Eds.), 36th Conference on Neural Information Processing Systems
(NeurIPS 2022) (Vol. 35, pp. 29386–29399). Curran Associates, Inc.
bjps: 'Besginow A and Lange-Hegermann M (2022) Constraining Gaussian Processes
to Systems of Linear Ordinary Differential Equations, Koyejo S et al. (eds).
Red Hook, NY : Curran Associates, Inc.'
chicago: 'Besginow, Andreas, and Markus Lange-Hegermann. Constraining Gaussian
Processes to Systems of Linear Ordinary Differential Equations. Edited by
S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, and Neural Information
Processing Systems Foundation . 36th Conference on Neural Information Processing
Systems (NeurIPS 2022) . Vol. 35. Advances in Neural Information Processing
Systems. Red Hook, NY : Curran Associates, Inc., 2022.'
chicago-de: 'Besginow, Andreas und Markus Lange-Hegermann. 2022. Constraining
Gaussian Processes to Systems of Linear Ordinary Differential Equations. Hg.
von S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh, und Neural
Information Processing Systems Foundation . 36th Conference on Neural Information
Processing Systems (NeurIPS 2022) . Bd. 35. Advances in Neural Information
Processing Systems. Red Hook, NY : Curran Associates, Inc.'
din1505-2-1: 'Besginow, Andreas ;
Lange-Hegermann, Markus ; Koyejo, S. ; Mohamed,
S. ; Agarwal, A. ; Belgrave, D. ; Cho,
K. ; Oh, A. ; Neural
Information Processing Systems Foundation (Hrsg.): Constraining Gaussian
Processes to Systems of Linear Ordinary Differential Equations, Advances
in Neural Information Processing Systems. Bd. 35. Red Hook, NY : Curran Associates,
Inc., 2022'
havard: A. Besginow, M. Lange-Hegermann, Constraining Gaussian Processes to Systems
of Linear Ordinary Differential Equations, Curran Associates, Inc., Red Hook,
NY , 2022.
ieee: 'A. Besginow and M. Lange-Hegermann, Constraining Gaussian Processes to
Systems of Linear Ordinary Differential Equations, vol. 35. Red Hook, NY :
Curran Associates, Inc., 2022, pp. 29386–29399.'
mla: Besginow, Andreas, and Markus Lange-Hegermann. “Constraining Gaussian Processes
to Systems of Linear Ordinary Differential Equations.” 36th Conference on Neural
Information Processing Systems (NeurIPS 2022) , edited by S. Koyejo et al.,
vol. 35, Curran Associates, Inc., 2022, pp. 29386–99.
short: A. Besginow, M. Lange-Hegermann, Constraining Gaussian Processes to Systems
of Linear Ordinary Differential Equations, Curran Associates, Inc., Red Hook,
NY , 2022.
ufg: 'Besginow, Andreas/Lange-Hegermann, Markus: Constraining Gaussian Processes
to Systems of Linear Ordinary Differential Equations, Bd. 35, hg. von Koyejo,
S. u. a., Red Hook, NY 2022 (Advances in Neural Information Processing Systems).'
van: 'Besginow A, Lange-Hegermann M. Constraining Gaussian Processes to Systems
of Linear Ordinary Differential Equations. Koyejo S, Mohamed S, Agarwal A, Belgrave
D, Cho K, Oh A, et al., editors. 36th Conference on Neural Information Processing
Systems (NeurIPS 2022) . Red Hook, NY : Curran Associates, Inc.; 2022. (Advances
in Neural Information Processing Systems; vol. 35).'
conference:
end_date: 2022-12-09
location: New Orleans, La.; Online
name: 36th Conference on Neural Information Processing Systems (NeurIPS)
start_date: 2022-11-28
corporate_editor:
- 'Neural Information Processing Systems Foundation '
date_created: 2025-04-16T06:58:04Z
date_updated: 2025-06-26T13:37:53Z
department:
- _id: DEP5000
editor:
- first_name: S.
full_name: Koyejo, S.
last_name: Koyejo
- first_name: S.
full_name: Mohamed, S.
last_name: Mohamed
- first_name: A.
full_name: Agarwal, A.
last_name: Agarwal
- first_name: D.
full_name: Belgrave, D.
last_name: Belgrave
- first_name: K.
full_name: Cho, K.
last_name: Cho
- first_name: A.
full_name: Oh, A.
last_name: Oh
intvolume: ' 35'
keyword:
- SMITH NORMAL-FORM
- ALGORITHMS
- REDUCTION
language:
- iso: eng
page: 29386 - 29399
place: 'Red Hook, NY '
publication: '36th Conference on Neural Information Processing Systems (NeurIPS 2022) '
publication_identifier:
eisbn:
- 978-1-7138-7312-9
isbn:
- '978-1-7138-7108-8 '
issn:
- 1049-5258
publication_status: published
publisher: Curran Associates, Inc.
series_title: Advances in Neural Information Processing Systems
status: public
title: Constraining Gaussian Processes to Systems of Linear Ordinary Differential
Equations
type: conference_editor_article
user_id: '83781'
volume: 35
year: '2022'
...
---
_id: '12803'
abstract:
- lang: eng
text: The increasing amount of alarms and information for an operator in a modern
plant becomes a significant safety risk. Although the notifications are a valuable
support, they also lead to the curse of overloading with information for the operator.
Due to the huge amount of alarms it is almost impossible to separate the crucial
information from the insignificant ones. Therefore, new procedures are required
to reduce these alarm floods and support the operator to minimize the safety risk.
One approach is based on learning a causal model that represents the relationships
between the alarms. This allows alarm sequences that are causally implied to be
reduced to the root cause alarm. Fundamental element of this approach is the causal
model. Therefore in this work, different probabilistic graphical models are considered
and evaluated on the basis of appropriate criteria. A real use case of a bottle
filling module serves as a benchmark for how well they are suitable as a causal
model for the application in alarm flood reduction.
author:
- first_name: Paul
full_name: Wunderlich, Paul
id: '52317'
last_name: Wunderlich
- first_name: Nemanja
full_name: Hranisavljevic, Nemanja
id: '62376'
last_name: Hranisavljevic
citation:
ama: Wunderlich P, Hranisavljevic N. Comparison of Different Probabilistic Graphical
Models as Causal Models in Alarm Flood Reduction. (Aalto University, Finland,
Tampere University, Finland, Finnish Society of Automation, Finland, eds.). IEEE;
2019:1285-1290. doi:10.1109/indin41052.2019.8972251
apa: Wunderlich, P., & Hranisavljevic, N. (2019). Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction. In Aalto University,
Finland, Tampere University, Finland, & Finnish Society of Automation, Finland
(Eds.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
(pp. 1285–1290). IEEE. https://doi.org/10.1109/indin41052.2019.8972251
bjps: 'Wunderlich P and Hranisavljevic N (2019) Comparison of Different
Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction,
Aalto University, Finland, Tampere University, Finland, and Finnish Society of
Automation, Finland (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Wunderlich, Paul, and Nemanja Hranisavljevic. Comparison of Different
Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction.
Edited by Aalto University, Finland, Tampere University, Finland, and Finnish
Society of Automation, Finland. 2019 IEEE 17th International Conference on
Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/indin41052.2019.8972251.'
chicago-de: 'Wunderlich, Paul und Nemanja Hranisavljevic. 2019. Comparison of
Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction.
Hg. von Aalto University, Finland, Tampere University, Finland, und Finnish Society
of Automation, Finland. 2019 IEEE 17th International Conference on Industrial
Informatics (INDIN). [Piscataway, NJ]: IEEE. doi:10.1109/indin41052.2019.8972251,
.'
din1505-2-1: 'Wunderlich, Paul ; Hranisavljevic, Nemanja ; Aalto
University, Finland ; Tampere University,
Finland ; Finnish Society of Automation,
Finland (Hrsg.): Comparison of Different Probabilistic Graphical Models
as Causal Models in Alarm Flood Reduction. [Piscataway, NJ] : IEEE, 2019'
havard: P. Wunderlich, N. Hranisavljevic, Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction, IEEE, [Piscataway,
NJ], 2019.
ieee: 'P. Wunderlich and N. Hranisavljevic, Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction. [Piscataway, NJ]:
IEEE, 2019, pp. 1285–1290. doi: 10.1109/indin41052.2019.8972251.'
mla: Wunderlich, Paul, and Nemanja Hranisavljevic. “Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction.” 2019 IEEE 17th
International Conference on Industrial Informatics (INDIN), edited by Aalto
University, Finland et al., IEEE, 2019, pp. 1285–90, https://doi.org/10.1109/indin41052.2019.8972251.
short: P. Wunderlich, N. Hranisavljevic, Comparison of Different Probabilistic Graphical
Models as Causal Models in Alarm Flood Reduction, IEEE, [Piscataway, NJ], 2019.
ufg: 'Wunderlich, Paul/Hranisavljevic, Nemanja: Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction, hg. von Aalto University,
Finland/Tampere University, Finland, Finnish Society of Automation, Finland, [Piscataway,
NJ] 2019.'
van: 'Wunderlich P, Hranisavljevic N. Comparison of Different Probabilistic Graphical
Models as Causal Models in Alarm Flood Reduction. Aalto University, Finland, Tampere
University, Finland, Finnish Society of Automation, Finland, editors. 2019 IEEE
17th International Conference on Industrial Informatics (INDIN). [Piscataway,
NJ]: IEEE; 2019.'
conference:
end_date: 2019-07-25
location: 'Helsinki, Finland '
name: 17th IEEE International Conference on Industrial Informatics (INDIN)
start_date: 2019-07-22
corporate_editor:
- Aalto University, Finland
- Tampere University, Finland
- Finnish Society of Automation, Finland
date_created: 2025-04-16T06:29:04Z
date_updated: 2025-06-26T13:38:06Z
department:
- _id: DEP5023
doi: 10.1109/indin41052.2019.8972251
keyword:
- probabilistic graphical model
- causal model
- alarm flood reduction
- Bayesian network
- Markov chain
- restricted boltzmann machine
- automata
language:
- iso: eng
page: 1285-1290
place: '[Piscataway, NJ]'
publication: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
publication_identifier:
eisbn:
- 978-1-7281-2927-3
isbn:
- 978-1-7281-2928-0
publication_status: published
publisher: IEEE
status: public
title: Comparison of Different Probabilistic Graphical Models as Causal Models in
Alarm Flood Reduction
type: conference_editor_article
user_id: '83781'
year: '2019'
...
---
_id: '2005'
abstract:
- lang: eng
text: We present a method for the fast and robust linear classification of badly
conditioned data. In our considerations, badly conditioned data are such data
which are numerically difficult to handle. Due to, e.g. a large number of features
or a large number of objects representing classes as well as noise, outliers or
incompleteness, the common software computation of the discriminating linear combination
of features between classes fails or is extremely time consuming. The theoretical
foundations of our approach are based on the single feature ranking, which allows
fast calculation of the approximative initial classification boundary. For the
increasing of classification accuracy of this boundary, the refinement is performed
in the lower dimensional space. Our approach is tested on several datasets from
UCI Reposi-tiory. Experimental results indicate high classification accuracy of
the approach. For the modern real industrial applications such a method is especially
suitable in the Cyber-Physical-System environments and provides a part of the
workflow for the automated classifier design
author:
- first_name: Helene
full_name: Dörksen, Helene
id: '46416'
last_name: Dörksen
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Dörksen H, Lohweg V. Linear Classification of Badly Conditioned Data. . In:
23rd IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA). Torino, Italy; 2018. doi:10.1109/ETFA.2018.8502485'
apa: Dörksen, H., & Lohweg, V. (2018). Linear Classification of Badly Conditioned
Data. . In 23rd IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA). Torino, Italy. https://doi.org/10.1109/ETFA.2018.8502485
bjps: Dörksen H and Lohweg V (2018) Linear Classification of Badly Conditioned
Data. . 23rd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA). Torino, Italy.
chicago: Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned
Data. .” In 23rd IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA). Torino, Italy, 2018. https://doi.org/10.1109/ETFA.2018.8502485.
chicago-de: 'Dörksen, Helene und Volker Lohweg. 2018. Linear Classification of Badly
Conditioned Data. . In: 23rd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). Torino, Italy. doi:10.1109/ETFA.2018.8502485,
.'
din1505-2-1: 'Dörksen, Helene ; Lohweg, Volker: Linear Classification
of Badly Conditioned Data. . In: 23rd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). Torino, Italy, 2018'
havard: 'H. Dörksen, V. Lohweg, Linear Classification of Badly Conditioned Data.
, in: 23rd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA), Torino, Italy, 2018.'
ieee: H. Dörksen and V. Lohweg, “Linear Classification of Badly Conditioned Data.
,” in 23rd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA), Turin, Italy , 2018.
mla: Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned
Data. .” 23rd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA), 2018, doi:10.1109/ETFA.2018.8502485.
short: 'H. Dörksen, V. Lohweg, in: 23rd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), Torino, Italy, 2018.'
ufg: 'Dörksen, Helene/Lohweg, Volker (2018): Linear Classification of Badly
Conditioned Data. , in: 23rd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), Torino, Italy.'
van: 'Dörksen H, Lohweg V. Linear Classification of Badly Conditioned Data. . In:
23rd IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA). Torino, Italy; 2018.'
conference:
end_date: 2018-09-07
location: ' Turin, Italy '
name: ' IEEE 23rd International Conference on Emerging Technologies and Factory
Automation (ETFA) 2018'
start_date: 2018-09-04
date_created: 2019-11-25T08:35:44Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/ETFA.2018.8502485
keyword:
- Task analysis
- Software
- Linear discriminant analysis
- Dimensionality reduction
- Mathematical model
- Covariance matrices
- Measurement
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502485
oa: '1'
place: Torino, Italy
publication: 23rd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
status: public
title: 'Linear Classification of Badly Conditioned Data. '
type: conference
user_id: '15514'
year: 2018
...
---
_id: '4254'
abstract:
- lang: eng
text: The current trend of integrating machines and factories into cyber-physical
systems (CPS) creates an enormous complexity for operators of such systems. Especially
the search for the root cause of cascading failures becomes highly time-consuming.
Within this paper, we address the question on how to help human users to better
and faster understand root causes of such situations. We propose a concept of
interactive alarm flood reduction and present the implementation of a first vertical
prototype for such a system. We consider this prototype as a first artifact to
be discussed by the research community and aim towards an incremental further
development of the system in order to support humans in complex error situations.
author:
- first_name: Sebastian
full_name: Büttner, Sebastian
id: '61868'
last_name: Büttner
- first_name: Paul
full_name: Wunderlich, Paul
id: '52317'
last_name: Wunderlich
- first_name: Mario
full_name: Heinz, Mario
id: '68913'
last_name: Heinz
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: 'Büttner S, Wunderlich P, Heinz M, Niggemann O, Röcker C. Managing Complexity:
Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.
In: Holzinger A, ed. Machine Learning and Knowledge Extraction : First IFIP
TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio,
Italy, August 29 – September 1, 2017, Proceedings. Vol 10410. Lecture Notes
in Computer Science . Cham: Springer; 2017:69-82.'
apa: 'Büttner, S., Wunderlich, P., Heinz, M., Niggemann, O., & Röcker, C. (2017).
Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive
Alarm Flood Reduction. In A. Holzinger (Ed.), Machine Learning and Knowledge
Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference,
CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings (Vol.
10410, pp. 69–82). Cham: Springer.'
bjps: 'Büttner S et al. (2017) Managing Complexity: Towards Intelligent
Error-Handling Assistance Trough Interactive Alarm Flood Reduction. In Holzinger
A (ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4,
8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy,
August 29 – September 1, 2017, Proceedings, vol. 10410. Cham: Springer, pp.
69–82.'
chicago: 'Büttner, Sebastian, Paul Wunderlich, Mario Heinz, Oliver Niggemann, and
Carsten Röcker. “Managing Complexity: Towards Intelligent Error-Handling Assistance
Trough Interactive Alarm Flood Reduction.” In Machine Learning and Knowledge
Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference,
CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, edited
by Andreas Holzinger, 10410:69–82. Lecture Notes in Computer Science . Cham: Springer,
2017.'
chicago-de: 'Büttner, Sebastian, Paul Wunderlich, Mario Heinz, Oliver Niggemann
und Carsten Röcker. 2017. Managing Complexity: Towards Intelligent Error-Handling
Assistance Trough Interactive Alarm Flood Reduction. In: Machine Learning
and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain
Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings,
hg. von Andreas Holzinger, 10410:69–82. Lecture Notes in Computer Science . Cham:
Springer.'
din1505-2-1: 'Büttner, Sebastian ;
Wunderlich, Paul ; Heinz,
Mario ; Niggemann, Oliver
; Röcker, Carsten: Managing Complexity:
Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.
In: Holzinger, A. (Hrsg.): Machine
Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International
Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1,
2017, Proceedings, Lecture Notes in Computer Science . Bd. 10410. Cham :
Springer, 2017, S. 69–82'
havard: 'S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, C. Röcker, Managing
Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm
Flood Reduction, in: A. Holzinger (Ed.), Machine Learning and Knowledge Extraction :
First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE
2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings, Springer, Cham,
2017: pp. 69–82.'
ieee: 'S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, and C. Röcker, “Managing
Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm
Flood Reduction,” in Machine Learning and Knowledge Extraction : First IFIP
TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio,
Italy, August 29 – September 1, 2017, Proceedings, Reggio, Italy, 2017, vol.
10410, pp. 69–82.'
mla: 'Büttner, Sebastian, et al. “Managing Complexity: Towards Intelligent Error-Handling
Assistance Trough Interactive Alarm Flood Reduction.” Machine Learning and
Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain
Conference, CD-MAKE 2017, Reggio, Italy, August 29 – September 1, 2017, Proceedings,
edited by Andreas Holzinger, vol. 10410, Springer, 2017, pp. 69–82.'
short: 'S. Büttner, P. Wunderlich, M. Heinz, O. Niggemann, C. Röcker, in: A. Holzinger
(Ed.), Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4, 8.9,
12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August
29 – September 1, 2017, Proceedings, Springer, Cham, 2017, pp. 69–82.'
ufg: 'Büttner, Sebastian et. al. (2017): Managing Complexity: Towards Intelligent
Error-Handling Assistance Trough Interactive Alarm Flood Reduction, in: Andreas
Holzinger (Hg.): Machine Learning and Knowledge Extraction : First IFIP TC
5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio,
Italy, August 29 – September 1, 2017, Proceedings (=Lecture Notes in Computer
Science 10410), Cham, S. 69–82.'
van: 'Büttner S, Wunderlich P, Heinz M, Niggemann O, Röcker C. Managing Complexity:
Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction.
In: Holzinger A, editor. Machine Learning and Knowledge Extraction : First IFIP
TC 5, WG 84, 89, 129 International Cross-Domain Conference, CD-MAKE 2017, Reggio,
Italy, August 29 – September 1, 2017, Proceedings. Cham: Springer; 2017. p. 69–82.
(Lecture Notes in Computer Science ; vol. 10410).'
conference:
end_date: 2017-09-01
location: Reggio, Italy
name: International Cross-Domain Conference, CD-MAKE 2017
start_date: 2017-08-29
date_created: 2020-12-10T13:40:04Z
date_updated: 2023-03-15T13:49:51Z
department:
- _id: DEP5023
editor:
- first_name: Andreas
full_name: Holzinger, Andreas
last_name: Holzinger
intvolume: ' 10410'
keyword:
- Alarm flood reduction
- Machine learning
- Assistive system
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 69-82
place: Cham
publication: ' Machine Learning and Knowledge Extraction : First IFIP TC 5, WG 8.4,
8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy, August
29 – September 1, 2017, Proceedings'
publication_identifier:
eisbn:
- '9783319668086 '
isbn:
- 978-3-319-66807-9
publication_status: published
publisher: Springer
series_title: 'Lecture Notes in Computer Science '
status: public
title: 'Managing Complexity: Towards Intelligent Error-Handling Assistance Trough
Interactive Alarm Flood Reduction'
type: conference
user_id: '15514'
volume: 10410
year: 2017
...
---
_id: '328'
abstract:
- lang: eng
text: "In this paper, concepts for an extended DC network for the main power
supply of components from various manufacturers in industrial production are presented.
In the first part, detailed requirements for such a network are given
\ from the viewpoint of a customer. Based on those, different concepts
for AC/DC conversion and energy management are discussed. As far as AC/DC conversion
\ is concerned, the advantages and drawbacks of several rectifier topologies
are listed, as they have a significant impact on the system behavior and
\ EMC properties. \r\nAn intelligent energy management can improve the
\ energy efficiency and reduce downtimes of a plant, which are major
requirements from a customer’s viewpoint. "
author:
- first_name: Holger
full_name: Borcherding, Holger
id: '1693'
last_name: Borcherding
- first_name: Johann
full_name: Austermann, Johann
id: '42114'
last_name: Austermann
- first_name: Timm
full_name: Kuhlmann, Timm
last_name: Kuhlmann
- first_name: Benno
full_name: Weis, Benno
last_name: Weis
- first_name: Andre
full_name: Leonide, Andre
last_name: Leonide
citation:
ama: 'Borcherding H, Austermann J, Kuhlmann T, Weis B, Leonide A. Concepts for a
DC Network in Industrial Production. In: Institute of Electrical and Electronics
Engineers (IEEE), ed. 2017 IEEE Second International Conference on DC Microgrids
(ICDCM). Danvers; 2017:227-234. doi:10.1109/ICDCM.2017.8001049'
apa: Borcherding, H., Austermann, J., Kuhlmann, T., Weis, B., & Leonide, A.
(2017). Concepts for a DC Network in Industrial Production. In Institute of Electrical
and Electronics Engineers (IEEE) (Ed.), 2017 IEEE Second International Conference
on DC Microgrids (ICDCM) (pp. 227–234). Danvers. https://doi.org/10.1109/ICDCM.2017.8001049
bjps: Borcherding H et al. (2017) Concepts for a DC Network in Industrial
Production. In Institute of Electrical and Electronics Engineers (IEEE) (ed.),
2017 IEEE Second International Conference on DC Microgrids (ICDCM). Danvers,
pp. 227–234.
chicago: Borcherding, Holger, Johann Austermann, Timm Kuhlmann, Benno Weis, and
Andre Leonide. “Concepts for a DC Network in Industrial Production.” In 2017
IEEE Second International Conference on DC Microgrids (ICDCM), edited by Institute
of Electrical and Electronics Engineers (IEEE), 227–34. Danvers, 2017. https://doi.org/10.1109/ICDCM.2017.8001049.
chicago-de: 'Borcherding, Holger, Johann Austermann, Timm Kuhlmann, Benno Weis und
Andre Leonide. 2017. Concepts for a DC Network in Industrial Production. In: 2017
IEEE Second International Conference on DC Microgrids (ICDCM), hg. von Institute
of Electrical and Electronics Engineers (IEEE), 227–234. Danvers. doi:10.1109/ICDCM.2017.8001049,
.'
din1505-2-1: 'Borcherding, Holger
; Austermann, Johann ; Kuhlmann,
Timm ; Weis, Benno ; Leonide, Andre: Concepts for a DC Network
in Industrial Production. In: Institute
of Electrical and Electronics Engineers (IEEE) (Hrsg.): 2017 IEEE Second
International Conference on DC Microgrids (ICDCM). Danvers, 2017, S. 227–234'
havard: 'H. Borcherding, J. Austermann, T. Kuhlmann, B. Weis, A. Leonide, Concepts
for a DC Network in Industrial Production, in: Institute of Electrical and Electronics
Engineers (IEEE) (Ed.), 2017 IEEE Second International Conference on DC Microgrids
(ICDCM), Danvers, 2017: pp. 227–234.'
ieee: H. Borcherding, J. Austermann, T. Kuhlmann, B. Weis, and A. Leonide, “Concepts
for a DC Network in Industrial Production,” in 2017 IEEE Second International
Conference on DC Microgrids (ICDCM), Nürnberg, 2017, no. 1, pp. 227–234.
mla: Borcherding, Holger, et al. “Concepts for a DC Network in Industrial Production.”
2017 IEEE Second International Conference on DC Microgrids (ICDCM), edited
by Institute of Electrical and Electronics Engineers (IEEE), no. 1, 2017, pp.
227–34, doi:10.1109/ICDCM.2017.8001049.
short: 'H. Borcherding, J. Austermann, T. Kuhlmann, B. Weis, A. Leonide, in: Institute
of Electrical and Electronics Engineers (IEEE) (Ed.), 2017 IEEE Second International
Conference on DC Microgrids (ICDCM), Danvers, 2017, pp. 227–234.'
ufg: 'Borcherding, Holger et. al. (2017): Concepts for a DC Network in Industrial
Production, in: Institute of Electrical and Electronics Engineers (IEEE) (Hg.):
2017 IEEE Second International Conference on DC Microgrids (ICDCM), Danvers,
S. 227–234.'
van: 'Borcherding H, Austermann J, Kuhlmann T, Weis B, Leonide A. Concepts for a
DC Network in Industrial Production. In: Institute of Electrical and Electronics
Engineers (IEEE), editor. 2017 IEEE Second International Conference on DC Microgrids
(ICDCM). Danvers; 2017. p. 227–34.'
conference:
end_date: 2017-06-29
location: Nürnberg
name: 'IEEE Second International Conference on DC Microgrids (ICDCM) '
start_date: 2017-06-27
corporate_editor:
- Institute of Electrical and Electronics Engineers (IEEE)
date_created: 2018-12-10T15:11:18Z
date_updated: 2023-03-15T13:49:46Z
department:
- _id: DEP5018
doi: 10.1109/ICDCM.2017.8001049
issue: '1'
keyword:
- AC-DC power convertors
- electromagnetic compatibility
- energy conservation
- energy management systems
- rectifiers
- main power supply
- industrial production
- DC network
- AC-DC conversion
- rectifier topologies
- EMC properties
- intelligent energy management
- energy efficiency improvement
- downtime reduction
- Rectifiers
- Switches
- Voltage control
- Topology
- Network topology
- Production
- Grounding
- industrial DC grid
- SMART Grid
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001049
page: 227-234
place: Danvers
publication: 2017 IEEE Second International Conference on DC Microgrids (ICDCM)
related_material:
link:
- relation: contains
url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8001049
status: public
title: Concepts for a DC Network in Industrial Production
type: conference
user_id: '45673'
year: 2017
...
---
_id: '273'
abstract:
- lang: eng
text: This paper introduces an efficient modular solution kit for intralogistic
drives, which reduces the total energy consumption of all drives in an automated
warehouse by more than 15%. The reduction of energy consumption results from the
interaction of optimized components (motors, control techniques and regeneration
units), which are described in detail in this paper. Different motor concepts
like the induction motor, the synchronous reluctance motor and the permanent magnet
synchronous machine are compared according to the special requirements for intralogistics
applications. Different control techniques are presented in order to achieve sensorless
and efficient-optimal operation of these motors. The sensorless control technique
uses signal injection to detect the rotor position sufficiently exact also in
case of speed near standstill. Efficient-optimal operation is achieved by reducing
the motor current with regard to the torque (MTPA-control). Furthermore this paper
introduces a regeneration unit that can be connected between the DC link of frequency
inverters and the mains to feed back regenerative energy. The regeneration unit
consisting of a buck converter, a synchronous inverter and a line-filter can work
in parallel to commonly used uncontrolled rectifiers. Its functioning is shown
with the help of measurement results of a 1kW laboratory prototype. The last section
shows a demonstrator in which a conventional conveyer system (with induction motor
and braking resistor) is compared with an optimized one using the presented components.
Power versus time measurements show specific energy savings resulting from the
interaction of the optimized components.
author:
- first_name: Johann
full_name: Austermann, Johann
id: '42114'
last_name: Austermann
- first_name: Holger
full_name: Borcherding, Holger
id: '1693'
last_name: Borcherding
- first_name: H.
full_name: Stichweh, H.
last_name: Stichweh
- first_name: Volker
full_name: Grabs, Volker
id: '58951'
last_name: Grabs
citation:
ama: 'Austermann J, Borcherding H, Stichweh H, Grabs V. High Efficient Modular Drive
System - An Ideal Approach for Green Intralogistics Applications. In: 2016
18th European Conference on Power Electronics and Applications (EPE’16 ECCE Europe).
Berlin ; Offenbach: VDE Verlag; 2016:1639-1646. doi:10.1109/EPE.2016.7695687'
apa: 'Austermann, J., Borcherding, H., Stichweh, H., & Grabs, V. (2016). High
Efficient Modular Drive System - An Ideal Approach for Green Intralogistics Applications.
In 2016 18th European Conference on Power Electronics and Applications (EPE’16
ECCE Europe) (pp. 1639–1646). Berlin ; Offenbach: VDE Verlag. https://doi.org/10.1109/EPE.2016.7695687'
bjps: 'Austermann J et al. (2016) High Efficient Modular Drive System
- An Ideal Approach for Green Intralogistics Applications. 2016 18th European
Conference on Power Electronics and Applications (EPE’16 ECCE Europe). Berlin ;
Offenbach: VDE Verlag, pp. 1639–1646.'
chicago: 'Austermann, Johann, Holger Borcherding, H. Stichweh, and Volker Grabs.
“High Efficient Modular Drive System - An Ideal Approach for Green Intralogistics
Applications.” In 2016 18th European Conference on Power Electronics and Applications
(EPE’16 ECCE Europe), 1639–46. Berlin ; Offenbach: VDE Verlag, 2016. https://doi.org/10.1109/EPE.2016.7695687.'
chicago-de: 'Austermann, Johann, Holger Borcherding, H. Stichweh und Volker Grabs.
2016. High Efficient Modular Drive System - An Ideal Approach for Green Intralogistics
Applications. In: 2016 18th European Conference on Power Electronics and Applications
(EPE’16 ECCE Europe), 1639–1646. Berlin ; Offenbach: VDE Verlag. doi:10.1109/EPE.2016.7695687,
.'
din1505-2-1: 'Austermann, Johann ;
Borcherding, Holger ; Stichweh,
H. ; Grabs, Volker: High
Efficient Modular Drive System - An Ideal Approach for Green Intralogistics Applications.
In: 2016 18th European Conference on Power Electronics and Applications (EPE’16
ECCE Europe). Berlin ; Offenbach : VDE Verlag, 2016, S. 1639–1646'
havard: 'J. Austermann, H. Borcherding, H. Stichweh, V. Grabs, High Efficient Modular
Drive System - An Ideal Approach for Green Intralogistics Applications, in: 2016
18th European Conference on Power Electronics and Applications (EPE’16 ECCE Europe),
VDE Verlag, Berlin ; Offenbach, 2016: pp. 1639–1646.'
ieee: J. Austermann, H. Borcherding, H. Stichweh, and V. Grabs, “High Efficient
Modular Drive System - An Ideal Approach for Green Intralogistics Applications,”
in 2016 18th European Conference on Power Electronics and Applications (EPE’16
ECCE Europe), Karlsruhe, 2016, pp. 1639–1646.
mla: Austermann, Johann, et al. “High Efficient Modular Drive System - An Ideal
Approach for Green Intralogistics Applications.” 2016 18th European Conference
on Power Electronics and Applications (EPE’16 ECCE Europe), VDE Verlag, 2016,
pp. 1639–46, doi:10.1109/EPE.2016.7695687.
short: 'J. Austermann, H. Borcherding, H. Stichweh, V. Grabs, in: 2016 18th European
Conference on Power Electronics and Applications (EPE’16 ECCE Europe), VDE Verlag,
Berlin ; Offenbach, 2016, pp. 1639–1646.'
ufg: 'Austermann, Johann et. al. (2016): High Efficient Modular Drive System
- An Ideal Approach for Green Intralogistics Applications, in: 2016 18th European
Conference on Power Electronics and Applications (EPE’16 ECCE Europe), Berlin ;
Offenbach, S. 1639–1646.'
van: 'Austermann J, Borcherding H, Stichweh H, Grabs V. High Efficient Modular Drive
System - An Ideal Approach for Green Intralogistics Applications. In: 2016 18th
European Conference on Power Electronics and Applications (EPE’16 ECCE Europe).
Berlin ; Offenbach: VDE Verlag; 2016. p. 1639–46.'
conference:
end_date: 2016-05-09
location: Karlsruhe
name: 18th European Conference on Power Electronics and Applications
start_date: 2016-09-05
date_created: 2018-11-27T10:16:16Z
date_updated: 2023-03-15T13:49:42Z
ddc:
- '620'
department:
- _id: DEP5018
doi: 10.1109/EPE.2016.7695687
keyword:
- electric current control
- induction motors
- invertors
- permanent magnet motors
- reluctance motors
- sensorless machine control
- torque control
- modular solution kit
- intralogistic drives
- automated warehouse
- energy consumption reduction
- optimized components interaction
- induction motor
- synchronous reluctance motor
- permanent magnet synchronous machine
- sensorless control technique
- signal injection
- rotor position
- motor current
- MTPA-control
- regeneration unit
- DC link
- frequency inverters
- buck converter
- synchronous inverter
- line-filter
- Induction motors
- Reluctance motors
- Permanent magnet motors
- Rotors
- Torque
- Inverters
- intralogistics
- reluctance motor
- sensorless control
- regeneration unit
- braking energy
language:
- iso: eng
page: 1639-1646
place: Berlin ; Offenbach
publication: 2016 18th European Conference on Power Electronics and Applications (EPE'16
ECCE Europe)
publication_identifier:
isbn:
- 978-3-8007-4186-1
publisher: VDE Verlag
related_material:
link:
- relation: contains
url: https://ieeexplore.ieee.org/document/7695687
status: public
title: High Efficient Modular Drive System - An Ideal Approach for Green Intralogistics
Applications
type: conference
user_id: '45673'
year: 2016
...