---
_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: '8467'
abstract:
- lang: eng
text: A decarbonisation of the energy system is necessary to reduce greenhouse gas
emissions and thus achieve the climate protection goals. For this reason, the
renewable energy share in the power grids of many countries is increasing. In
order to stabilize the energy system and increase its flexibility, energy management
systems are needed. This paper offers a model of energy management system which
starts from the network operator and ends at the consumer (an electric vehicle).
Firstly, a controllable local system signal, which is sent through a smart meter
gateway from the grid operator to the consumer, has been developed. The signal
is based on the renewable energy share in the local grid, on the electricity exchange
price and on a defined profile. Then, different charging modes, which regulate
the energy consumption based on the signal, have been developed and field tested.
Finally, the charging modes have been simulated in order to better compare the
data. The results show that with smart charging, 90% of the energy demand can
be rescheduled. In view of the load shifting, greenhouse gas emissions and energy
costs can be reduced.
author:
- first_name: Maria
full_name: Schaffer, Maria
id: '50151'
last_name: Schaffer
- first_name: Fynn Christian
full_name: Bollhöfer, Fynn Christian
id: '71911'
last_name: Bollhöfer
- first_name: Johannes
full_name: Üpping, Johannes
id: '64760'
last_name: Üpping
citation:
ama: Schaffer M, Bollhöfer FC, Üpping J. Load shifting potential of electric vehicles
using management systems for increasing renewable energy share in smart grids.
International Journal of Energy Production and Management. 2022;7(2):101-113.
doi:10.2495/EQ-V7-N2-101-113
apa: Schaffer, M., Bollhöfer, F. C., & Üpping, J. (2022). Load shifting potential
of electric vehicles using management systems for increasing renewable energy
share in smart grids. International Journal of Energy Production and Management,
7(2), 101–113. https://doi.org/10.2495/EQ-V7-N2-101-113
bjps: Schaffer M, Bollhöfer FC and Üpping J (2022) Load Shifting Potential
of Electric Vehicles Using Management Systems for Increasing Renewable Energy
Share in Smart Grids. International Journal of Energy Production and Management
7, 101–113.
chicago: 'Schaffer, Maria, Fynn Christian Bollhöfer, and Johannes Üpping. “Load
Shifting Potential of Electric Vehicles Using Management Systems for Increasing
Renewable Energy Share in Smart Grids.” International Journal of Energy Production
and Management 7, no. 2 (2022): 101–13. https://doi.org/10.2495/EQ-V7-N2-101-113.'
chicago-de: 'Schaffer, Maria, Fynn Christian Bollhöfer und Johannes Üpping. 2022.
Load shifting potential of electric vehicles using management systems for increasing
renewable energy share in smart grids. International Journal of Energy Production
and Management 7, Nr. 2: 101–113. doi:10.2495/EQ-V7-N2-101-113,
.'
din1505-2-1: 'Schaffer, Maria ; Bollhöfer, Fynn Christian ; Üpping,
Johannes: Load shifting potential of electric vehicles using management
systems for increasing renewable energy share in smart grids. In: International
Journal of Energy Production and Management Bd. 7. Southampton , WIT Press
(2022), Nr. 2, S. 101–113'
havard: M. Schaffer, F.C. Bollhöfer, J. Üpping, Load shifting potential of electric
vehicles using management systems for increasing renewable energy share in smart
grids, International Journal of Energy Production and Management. 7 (2022) 101–113.
ieee: 'M. Schaffer, F. C. Bollhöfer, and J. Üpping, “Load shifting potential of
electric vehicles using management systems for increasing renewable energy share
in smart grids,” International Journal of Energy Production and Management,
vol. 7, no. 2, pp. 101–113, 2022, doi: 10.2495/EQ-V7-N2-101-113.'
mla: Schaffer, Maria, et al. “Load Shifting Potential of Electric Vehicles Using
Management Systems for Increasing Renewable Energy Share in Smart Grids.” International
Journal of Energy Production and Management, vol. 7, no. 2, 2022, pp. 101–13,
https://doi.org/10.2495/EQ-V7-N2-101-113.
short: M. Schaffer, F.C. Bollhöfer, J. Üpping, International Journal of Energy Production
and Management 7 (2022) 101–113.
ufg: 'Schaffer, Maria/Bollhöfer, Fynn Christian/Üpping, Johannes: Load shifting
potential of electric vehicles using management systems for increasing renewable
energy share in smart grids, in: International Journal of Energy Production
and Management 7 (2022), H. 2, S. 101–113.'
van: Schaffer M, Bollhöfer FC, Üpping J. Load shifting potential of electric vehicles
using management systems for increasing renewable energy share in smart grids.
International Journal of Energy Production and Management. 2022;7(2):101–13.
date_created: 2022-07-19T12:28:26Z
date_updated: 2024-08-08T06:32:58Z
department:
- _id: DEP6020
- _id: DEP5000
- _id: DEP5012
doi: 10.2495/EQ-V7-N2-101-113
intvolume: ' 7'
issue: '2'
keyword:
- electric vehicles
- energy management systems
- load shifting
- renewable energy
- smart grids.
language:
- iso: eng
page: 101 - 113
place: 'Southampton '
publication: International Journal of Energy Production and Management
publication_identifier:
eissn:
- '2056-3280 '
issn:
- 2056-3272
publication_status: published
publisher: WIT Press
quality_controlled: '1'
status: public
title: Load shifting potential of electric vehicles using management systems for increasing
renewable energy share in smart grids
type: scientific_journal_article
user_id: '83781'
volume: 7
year: '2022'
...
---
_id: '5435'
abstract:
- lang: eng
text: Towards renewable energy systems, the coupling of multiple sectors is important
and incorporates novel technologies where currently no models exist that correctly
represent all transient effects. Therefore, we present a method that incorporates
Hardware-in-the-Loop simulations where virtual components as models are coupled
to real and experimental facilities in real time. By including experimental components,
a higher validity can be obtained and the practical applicability of renewable
energy scenario can be discussed more profoundly. In this paper, the considered
energy system consists of an experimental biocatalytic methanation reactor, a
real photovoltaic park, a regenerative fuel cell and short-term storage units
to supply a residential district. A representative control sequence of the methanator
is obtained by modeling the scenario as an optimal control problem. A first HIL
simulation highlights that modifications of the instrumentation are required for
a grid injection of the generated methane. The scientific approach can be applied
to any energy system where some of the considered components are available as
experimental or real facilities. Non-exisiting components are simply replaced
by models. The presented approach helps to determine which parts or process parameters
are crucial for the planed operation before the overall energy system is realized
on a larger scale. (C) 2019 Elsevier Ltd. All rights reserved.
author:
- first_name: Martin
full_name: Griese, Martin
id: '52308'
last_name: Griese
- first_name: Marc Philippe
full_name: Hoffrath, Marc Philippe
last_name: Hoffrath
- first_name: Timo
full_name: Broeker, Timo
id: '43927'
last_name: Broeker
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
- first_name: Jan
full_name: Schneider, Jan
id: '13209'
last_name: Schneider
orcid: 0000-0001-6401-8873
citation:
ama: 'Griese M, Hoffrath MP, Broeker T, Schulte T, Schneider J. Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor. Energy : the international journal. 2019;181:77-90.
doi:10.1016/j.energy.2019.05.092'
apa: 'Griese, M., Hoffrath, M. P., Broeker, T., Schulte, T., & Schneider, J.
(2019). Hardware-in-the-Loop simulation of an optimized energy management incorporating
an experimental biocatalytic methanation reactor. Energy : The International
Journal, 181, 77–90. https://doi.org/10.1016/j.energy.2019.05.092'
bjps: 'Griese M et al. (2019) Hardware-in-the-Loop Simulation of an
Optimized Energy Management Incorporating an Experimental Biocatalytic Methanation
Reactor. Energy : the international journal 181, 77–90.'
chicago: 'Griese, Martin, Marc Philippe Hoffrath, Timo Broeker, Thomas Schulte,
and Jan Schneider. “Hardware-in-the-Loop Simulation of an Optimized Energy Management
Incorporating an Experimental Biocatalytic Methanation Reactor.” Energy : The
International Journal 181 (2019): 77–90. https://doi.org/10.1016/j.energy.2019.05.092.'
chicago-de: 'Griese, Martin, Marc Philippe Hoffrath, Timo Broeker, Thomas Schulte
und Jan Schneider. 2019. Hardware-in-the-Loop simulation of an optimized energy
management incorporating an experimental biocatalytic methanation reactor. Energy :
the international journal 181: 77–90. doi:10.1016/j.energy.2019.05.092,
.'
din1505-2-1: 'Griese, Martin ; Hoffrath, Marc Philippe ; Broeker,
Timo ; Schulte, Thomas ;
Schneider, Jan: Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor. In: Energy : the international journal Bd. 181, Elsevier
(2019), S. 77–90'
havard: 'M. Griese, M.P. Hoffrath, T. Broeker, T. Schulte, J. Schneider, Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor, Energy : The International Journal. 181 (2019) 77–90.'
ieee: 'M. Griese, M. P. Hoffrath, T. Broeker, T. Schulte, and J. Schneider, “Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor,” Energy : the international journal, vol. 181, pp.
77–90, 2019, doi: 10.1016/j.energy.2019.05.092.'
mla: 'Griese, Martin, et al. “Hardware-in-the-Loop Simulation of an Optimized Energy
Management Incorporating an Experimental Biocatalytic Methanation Reactor.” Energy :
The International Journal, vol. 181, 2019, pp. 77–90, https://doi.org/10.1016/j.energy.2019.05.092.'
short: 'M. Griese, M.P. Hoffrath, T. Broeker, T. Schulte, J. Schneider, Energy :
The International Journal 181 (2019) 77–90.'
ufg: 'Griese, Martin u. a.: Hardware-in-the-Loop simulation of an optimized
energy management incorporating an experimental biocatalytic methanation reactor,
in: Energy : the international journal 181 (2019), S. 77–90.'
van: 'Griese M, Hoffrath MP, Broeker T, Schulte T, Schneider J. Hardware-in-the-Loop
simulation of an optimized energy management incorporating an experimental biocatalytic
methanation reactor. Energy : the international journal. 2019;181:77–90.'
conference:
end_date: 2018-06-21
location: Guimaraes, PORTUGAL
name: 31st International Conference on Efficiency, Cost, Optimization, Simulation,
and Environmental Impact of Energy Systems (ECOS)
start_date: 2018-06-17
date_created: 2021-04-08T07:42:48Z
date_updated: 2025-06-25T07:48:53Z
department:
- _id: DEP4023
- _id: DEP4018
doi: 10.1016/j.energy.2019.05.092
external_id:
isi:
- '000476965900009'
intvolume: ' 181'
isi: '1'
keyword:
- Biological methanation
- Energy management
- HIL simulation
- Optimization
- Scalable models
language:
- iso: eng
page: 77 - 90
publication: 'Energy : the international journal'
publication_identifier:
eissn:
- 1873-6785
issn:
- 0360-5442
publication_status: published
publisher: Elsevier
quality_controlled: '1'
status: public
title: Hardware-in-the-Loop simulation of an optimized energy management incorporating
an experimental biocatalytic methanation reactor
type: journal_article
user_id: '83781'
volume: 181
year: '2019'
...
---
_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
...