---
_id: '56929'
abstract:
- lang: eng
text: The market for microinverters is growing, especially in Europe. Driven
by rising electricity prices and an easing in legislation since 2024, the number
of mini-photovoltaic energy systems (mini-PVs) being installed is increasing substantially.
Indoor and outdoor studies of microinverters have been carried out at Paderborn
University since 2014. In the indoor lab, conversion efficiencies as a function
of load have been measured with high accuracy and ranked according to Euro and
CEC weightings; the latest rankings from 2024 are included in this paper. In the
outdoor lab, energy yields have been measured using identical and calibrated crystalline
silicon PV modules; until 2020, measurements were carried out using 215 Wp modules.
Because of increasing PV module power ratings, 360 Wp modules were used from 2020
until 2024. In 2024, the test modules were upgraded to 410 Wp modules, taking
into account the increase from 600 W to 800 W of inverter power limits, which
is suitable for simplified operation permission (“plug-in”) in many European countries
within a homogenised legislation area for such mini-photovoltaic energy systems
or “balcony power plants”. This legislation for simplified operation also covers
overpowered mini-plants, although the maximum AC output remains limited to 800
W. Presently, yield assessments are being carried out in the outdoor lab, which
will take at least a year to be valid and comparable. Kits consisting of PV modules,
inverters, and mounting systems are also being evaluated. Yield rankings sometimes
differ from efficiency rankings due to the use of different MPPT algorithms with
different MPP approach speeds and accuracies. To accelerate yield assessment,
we developed a novel, simple formula to determine energy yield for any module
and inverter configuration, including overpowered systems. This is a linear approach,
determined by just two coefficients, a and b, which are given for several inverters.
To reduce costs, inverters will be integrated into the module frame or the module
terminal box in the future.
article_number: '5551'
author:
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
- first_name: Jörg
full_name: Bendfeld, Jörg
id: '16148'
last_name: Bendfeld
citation:
ama: Krauter S, Bendfeld J. Efficiency Ranking of Photovoltaic Microinverters and
Energy Yield Estimations for Photovoltaic Balcony Power Plants. Energies.
2024;17(22). doi:10.3390/en17225551
apa: Krauter, S., & Bendfeld, J. (2024). Efficiency Ranking of Photovoltaic
Microinverters and Energy Yield Estimations for Photovoltaic Balcony Power Plants.
Energies, 17(22), Article 5551. https://doi.org/10.3390/en17225551
bibtex: '@article{Krauter_Bendfeld_2024, title={Efficiency Ranking of Photovoltaic
Microinverters and Energy Yield Estimations for Photovoltaic Balcony Power Plants},
volume={17}, DOI={10.3390/en17225551},
number={225551}, journal={Energies}, publisher={MDPI AG}, author={Krauter, Stefan
and Bendfeld, Jörg}, year={2024} }'
chicago: Krauter, Stefan, and Jörg Bendfeld. “Efficiency Ranking of Photovoltaic
Microinverters and Energy Yield Estimations for Photovoltaic Balcony Power Plants.”
Energies 17, no. 22 (2024). https://doi.org/10.3390/en17225551.
ieee: 'S. Krauter and J. Bendfeld, “Efficiency Ranking of Photovoltaic Microinverters
and Energy Yield Estimations for Photovoltaic Balcony Power Plants,” Energies,
vol. 17, no. 22, Art. no. 5551, 2024, doi: 10.3390/en17225551.'
mla: Krauter, Stefan, and Jörg Bendfeld. “Efficiency Ranking of Photovoltaic Microinverters
and Energy Yield Estimations for Photovoltaic Balcony Power Plants.” Energies,
vol. 17, no. 22, 5551, MDPI AG, 2024, doi:10.3390/en17225551.
short: S. Krauter, J. Bendfeld, Energies 17 (2024).
date_created: 2024-11-07T06:14:06Z
date_updated: 2024-11-07T06:14:45Z
department:
- _id: '53'
doi: 10.3390/en17225551
intvolume: ' 17'
issue: '22'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Efficiency Ranking of Photovoltaic Microinverters and Energy Yield Estimations
for Photovoltaic Balcony Power Plants
type: journal_article
user_id: '16148'
volume: 17
year: '2024'
...
---
_id: '43464'
abstract:
- lang: eng
text: Lightweight design is a common approach to reduce energy demand in
the use stage of vehicles. The production of lightweight materials is usually
associated with an increase in energy demand, so the environmental impacts of
lightweight structures need to be assessed holistically using a life cycle assessment.
To estimate the life cycle environmental impacts of a product in its developmental
stage, for example, by life cycle engineering, future changes in relevant influencing
factors must be considered. Prospective life cycle assessment provides methods
for integrating future scenarios into life cycle assessment studies. However,
approaches for integrating prospective life cycle assessment into product development
are limited. The objective of this work is to provide the methodological foundation
for integrating future scenarios of relevant influencing factors in the development
of lightweight structures. The applicability of the novel methodology is demonstrated
by a case study of a structural component in a steel, aluminium, and hybrid design.
The results show that appropriate decarbonisation measures can reduce the life
cycle greenhouse gas emissions by up to 95 percent until 2050. We also found that
shifts in the environmentally optimal design are possible in future scenarios.
Therefore, the methodology and data provided contribute to improved decision-making
in product development.
article_number: '3371'
author:
- first_name: Moritz
full_name: Ostermann, Moritz
id: '44763'
last_name: Ostermann
orcid: https://orcid.org/0000-0003-1146-0443
- first_name: Julian
full_name: Grenz, Julian
last_name: Grenz
- first_name: Marcel
full_name: Triebus, Marcel
id: '66036'
last_name: Triebus
- first_name: Felipe
full_name: Cerdas, Felipe
last_name: Cerdas
- first_name: Thorsten
full_name: Marten, Thorsten
id: '338'
last_name: Marten
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
- first_name: Christoph
full_name: Herrmann, Christoph
last_name: Herrmann
citation:
ama: 'Ostermann M, Grenz J, Triebus M, et al. Integrating Prospective Scenarios
in Life Cycle Engineering: Case Study of Lightweight Structures. Energies.
2023;16(8). doi:10.3390/en16083371'
apa: 'Ostermann, M., Grenz, J., Triebus, M., Cerdas, F., Marten, T., Tröster, T.,
& Herrmann, C. (2023). Integrating Prospective Scenarios in Life Cycle Engineering:
Case Study of Lightweight Structures. Energies, 16(8), Article 3371.
https://doi.org/10.3390/en16083371'
bibtex: '@article{Ostermann_Grenz_Triebus_Cerdas_Marten_Tröster_Herrmann_2023, title={Integrating
Prospective Scenarios in Life Cycle Engineering: Case Study of Lightweight Structures},
volume={16}, DOI={10.3390/en16083371},
number={83371}, journal={Energies}, publisher={MDPI AG}, author={Ostermann, Moritz
and Grenz, Julian and Triebus, Marcel and Cerdas, Felipe and Marten, Thorsten
and Tröster, Thomas and Herrmann, Christoph}, year={2023} }'
chicago: 'Ostermann, Moritz, Julian Grenz, Marcel Triebus, Felipe Cerdas, Thorsten
Marten, Thomas Tröster, and Christoph Herrmann. “Integrating Prospective Scenarios
in Life Cycle Engineering: Case Study of Lightweight Structures.” Energies
16, no. 8 (2023). https://doi.org/10.3390/en16083371.'
ieee: 'M. Ostermann et al., “Integrating Prospective Scenarios in Life Cycle
Engineering: Case Study of Lightweight Structures,” Energies, vol. 16,
no. 8, Art. no. 3371, 2023, doi: 10.3390/en16083371.'
mla: 'Ostermann, Moritz, et al. “Integrating Prospective Scenarios in Life Cycle
Engineering: Case Study of Lightweight Structures.” Energies, vol. 16,
no. 8, 3371, MDPI AG, 2023, doi:10.3390/en16083371.'
short: M. Ostermann, J. Grenz, M. Triebus, F. Cerdas, T. Marten, T. Tröster, C.
Herrmann, Energies 16 (2023).
date_created: 2023-04-13T09:11:33Z
date_updated: 2023-04-13T09:19:56Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
doi: 10.3390/en16083371
intvolume: ' 16'
issue: '8'
keyword:
- Life Cycle Engineering
- Life Cycle Assessment
- Lightweight Design
- Prospective LCA
- Future-oriented LCA
- Energy System
- Material production
- Sustainable production
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1996-1073/16/8/3371
oa: '1'
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: 'Integrating Prospective Scenarios in Life Cycle Engineering: Case Study of
Lightweight Structures'
type: journal_article
user_id: '44763'
volume: 16
year: '2023'
...
---
_id: '56627'
abstract:
- lang: eng
text: Pillow-plate heat exchangers (PPHEs) represent a suitable alternative
to conventional shell-and-tube and plate heat exchangers. The inherent waviness
of their channels promotes fluid mixing in the boundary layers and facilitates
heat transfer. The overall thermo-hydraulic performance of PPHEs can further be
enhanced by applying secondary surface structuring, thus increasing their competitiveness
against conventional heat exchangers. In this work, various secondary structures
applied on the PPHE surface were studied numerically to explore their potential
to enhance near-wall mixing. Computational fluid dynamics (CFD) simulations of
single-phase turbulent flow in the outer PPHE channel were performed and pressure
drop, heat transfer coefficients, and overall thermo-hydraulic efficiency were
determined. The simulation results clearly demonstrate a positive impact of secondary
structuring on heat transfer in PPHEs.
article_number: '7284'
author:
- first_name: Reza
full_name: Afsahnoudeh, Reza
id: '90390'
last_name: Afsahnoudeh
orcid: https://orcid.org/0009-0001-3161-8036
- first_name: Andreas
full_name: Wortmeier, Andreas
id: '49825'
last_name: Wortmeier
- first_name: Maik
full_name: Holzmüller, Maik
id: '82645'
last_name: Holzmüller
- first_name: Yi
full_name: Gong, Yi
id: '98514'
last_name: Gong
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Eugeny
full_name: Kenig, Eugeny
id: '665'
last_name: Kenig
citation:
ama: 'Afsahnoudeh R, Wortmeier A, Holzmüller M, Gong Y, Homberg W, Kenig E. Thermo-Hydraulic
Performance of Pillow-Plate Heat Exchangers with Secondary Structuring: A Numerical
Analysis. Energies. 2023;16(21). doi:10.3390/en16217284'
apa: 'Afsahnoudeh, R., Wortmeier, A., Holzmüller, M., Gong, Y., Homberg, W., &
Kenig, E. (2023). Thermo-Hydraulic Performance of Pillow-Plate Heat Exchangers
with Secondary Structuring: A Numerical Analysis. Energies, 16(21),
Article 7284. https://doi.org/10.3390/en16217284'
bibtex: '@article{Afsahnoudeh_Wortmeier_Holzmüller_Gong_Homberg_Kenig_2023, title={Thermo-Hydraulic
Performance of Pillow-Plate Heat Exchangers with Secondary Structuring: A Numerical
Analysis}, volume={16}, DOI={10.3390/en16217284},
number={217284}, journal={Energies}, publisher={MDPI AG}, author={Afsahnoudeh,
Reza and Wortmeier, Andreas and Holzmüller, Maik and Gong, Yi and Homberg, Werner
and Kenig, Eugeny}, year={2023} }'
chicago: 'Afsahnoudeh, Reza, Andreas Wortmeier, Maik Holzmüller, Yi Gong, Werner
Homberg, and Eugeny Kenig. “Thermo-Hydraulic Performance of Pillow-Plate Heat
Exchangers with Secondary Structuring: A Numerical Analysis.” Energies
16, no. 21 (2023). https://doi.org/10.3390/en16217284.'
ieee: 'R. Afsahnoudeh, A. Wortmeier, M. Holzmüller, Y. Gong, W. Homberg, and E.
Kenig, “Thermo-Hydraulic Performance of Pillow-Plate Heat Exchangers with Secondary
Structuring: A Numerical Analysis,” Energies, vol. 16, no. 21, Art. no.
7284, 2023, doi: 10.3390/en16217284.'
mla: 'Afsahnoudeh, Reza, et al. “Thermo-Hydraulic Performance of Pillow-Plate Heat
Exchangers with Secondary Structuring: A Numerical Analysis.” Energies,
vol. 16, no. 21, 7284, MDPI AG, 2023, doi:10.3390/en16217284.'
short: R. Afsahnoudeh, A. Wortmeier, M. Holzmüller, Y. Gong, W. Homberg, E. Kenig,
Energies 16 (2023).
date_created: 2024-10-15T12:10:31Z
date_updated: 2025-01-02T11:55:59Z
department:
- _id: '831'
- _id: '9'
doi: 10.3390/en16217284
intvolume: ' 16'
issue: '21'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: 'Thermo-Hydraulic Performance of Pillow-Plate Heat Exchangers with Secondary
Structuring: A Numerical Analysis'
type: journal_article
user_id: '90390'
volume: 16
year: '2023'
...
---
_id: '30262'
abstract:
- lang: eng
text: In this paper, a model of a hybrid, hydrogen-based energy system for a household
which includes the heating sector is presended. With such an energy system it's
possible to enable energy autarky over a whole year based on solar energy. The
scope of this study was to present a verified hybrid energy system model created
in Simulink which can be used to prospectively size future similar energy systems
where hydrogen in combination with a li-ion battery shall be used as energy storage
type.
author:
- first_name: Marius Claus
full_name: Möller, Marius Claus
id: '72391'
last_name: Möller
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: Möller MC, Krauter S. Hybrid Energy System Model in Matlab/Simulink based on
Solar Energy, Lithium-Ion Battery and Hydrogen. Energies / Special Issue “Sustainable
Energy Concepts for Energy Transition.” 2022;15 (6), 2201. doi:10.3390/en15062201
apa: Möller, M. C., & Krauter, S. (2022). Hybrid Energy System Model in Matlab/Simulink
based on Solar Energy, Lithium-Ion Battery and Hydrogen. Energies / Special
Issue “Sustainable Energy Concepts for Energy Transition,” 15 (6), 2201.
https://doi.org/10.3390/en15062201
bibtex: '@article{Möller_Krauter_2022, title={Hybrid Energy System Model in Matlab/Simulink
based on Solar Energy, Lithium-Ion Battery and Hydrogen}, volume={15 (6), 2201},
DOI={10.3390/en15062201}, journal={Energies
/ Special Issue “Sustainable Energy Concepts for Energy Transition”}, publisher={MDPI
/ Basel, Switzerland}, author={Möller, Marius Claus and Krauter, Stefan}, year={2022}
}'
chicago: Möller, Marius Claus, and Stefan Krauter. “Hybrid Energy System Model in
Matlab/Simulink Based on Solar Energy, Lithium-Ion Battery and Hydrogen.” Energies
/ Special Issue “Sustainable Energy Concepts for Energy Transition” 15 (6),
2201 (2022). https://doi.org/10.3390/en15062201.
ieee: 'M. C. Möller and S. Krauter, “Hybrid Energy System Model in Matlab/Simulink
based on Solar Energy, Lithium-Ion Battery and Hydrogen,” Energies / Special
Issue “Sustainable Energy Concepts for Energy Transition,” vol. 15 (6), 2201,
2022, doi: 10.3390/en15062201.'
mla: Möller, Marius Claus, and Stefan Krauter. “Hybrid Energy System Model in Matlab/Simulink
Based on Solar Energy, Lithium-Ion Battery and Hydrogen.” Energies / Special
Issue “Sustainable Energy Concepts for Energy Transition,” vol. 15 (6), 2201,
MDPI / Basel, Switzerland, 2022, doi:10.3390/en15062201.
short: M.C. Möller, S. Krauter, Energies / Special Issue “Sustainable Energy Concepts
for Energy Transition” 15 (6), 2201 (2022).
date_created: 2022-03-11T09:56:32Z
date_updated: 2022-07-11T07:03:34Z
department:
- _id: '53'
doi: 10.3390/en15062201
language:
- iso: eng
publication: Energies / Special Issue "Sustainable Energy Concepts for Energy Transition"
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI / Basel, Switzerland
quality_controlled: '1'
status: public
title: Hybrid Energy System Model in Matlab/Simulink based on Solar Energy, Lithium-Ion
Battery and Hydrogen
type: journal_article
user_id: '16148'
volume: 15 (6), 2201
year: '2022'
...
---
_id: '47961'
abstract:
- lang: eng
text: Due to failures or even the absence of an electricity grid, microgrid
systems are becoming popular solutions for electrifying African rural communities.
However, they are heavily stressed and complex to control due to their intermittency
and demand growth. Demand side management (DSM) serves as an option to increase
the level of flexibility on the demand side by scheduling users’ consumption patterns
profiles in response to supply. This paper proposes a demand-side management strategy
based on load shifting and peak clipping. The proposed approach was modelled in
a MATLAB/Simulink R2021a environment and was optimized using the artificial neural
network (ANN) algorithm. Simulations were carried out to test the model’s efficacy
in a stand-alone PV-battery microgrid in East Africa. The proposed algorithm reduces
the peak demand, smoothing the load profile to the desired level, and improves
the system’s peak to average ratio (PAR). The presence of deferrable loads has
been considered to bring more flexible demand-side management. Results promise
decreases in peak demand and peak to average ratio of about 31.2% and 7.5% through
peak clipping. In addition, load shifting promises more flexibility to customers.
article_number: '5215'
author:
- first_name: Godiana Hagile
full_name: Philipo, Godiana Hagile
id: '88505'
last_name: Philipo
- first_name: Josephine Nakato
full_name: Kakande, Josephine Nakato
id: '88649'
last_name: Kakande
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: Philipo GH, Kakande JN, Krauter S. Neural Network-Based Demand-Side Management
in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.
Energies. 2022;15(14). doi:10.3390/en15145215
apa: Philipo, G. H., Kakande, J. N., & Krauter, S. (2022). Neural Network-Based
Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting
and Peak-Clipping. Energies, 15(14), Article 5215. https://doi.org/10.3390/en15145215
bibtex: '@article{Philipo_Kakande_Krauter_2022, title={Neural Network-Based Demand-Side
Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and
Peak-Clipping}, volume={15}, DOI={10.3390/en15145215},
number={145215}, journal={Energies}, publisher={MDPI AG}, author={Philipo, Godiana
Hagile and Kakande, Josephine Nakato and Krauter, Stefan}, year={2022} }'
chicago: Philipo, Godiana Hagile, Josephine Nakato Kakande, and Stefan Krauter.
“Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery
Microgrid Using Load-Shifting and Peak-Clipping.” Energies 15, no. 14 (2022).
https://doi.org/10.3390/en15145215.
ieee: 'G. H. Philipo, J. N. Kakande, and S. Krauter, “Neural Network-Based Demand-Side
Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and
Peak-Clipping,” Energies, vol. 15, no. 14, Art. no. 5215, 2022, doi: 10.3390/en15145215.'
mla: Philipo, Godiana Hagile, et al. “Neural Network-Based Demand-Side Management
in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping.”
Energies, vol. 15, no. 14, 5215, MDPI AG, 2022, doi:10.3390/en15145215.
short: G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).
date_created: 2023-10-11T08:13:13Z
date_updated: 2024-10-17T08:46:23Z
department:
- _id: '53'
doi: 10.3390/en15145215
intvolume: ' 15'
issue: '14'
keyword:
- Energy (miscellaneous)
- Energy Engineering and Power Technology
- Renewable Energy
- Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
- Engineering (miscellaneous)
- Building and Construction
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery
Microgrid Using Load-Shifting and Peak-Clipping
type: journal_article
user_id: '16148'
volume: 15
year: '2022'
...
---
_id: '21265'
abstract:
- lang: eng
text: Fast-growing energy demand of the world makes the researchers focus
on finding new energy sources or optimizing already-developed approaches. For
an efficient use of solar and wind energy in an energy system, correct design
and sizing of a power system is of high importance and improving or optimizing
the process of data obtaining for this purpose leads to higher performance and
lower cost per unit of energy. It is essential to have the most precise possible
estimation of solar and wind energy potential and other local weather parameters
in order to fully feed the demand and avoid extra costs. There are various methods
for obtaining local data, such as local measurements, official organizational
data, satellite obtained, and reanalysis data. In this paper, the Modern-Era Retrospective
analysis for Research and Applications dataset version 2 (MERRA-2) dataset provided
by NASA is introduced and its performance is evaluated by comparison to various
locally measured datasets offered by meteorological institutions such as Meteonorm
and Deutscher Wetterdienst (DWD, or Germany’s National Meteorological Service)
around the world. After comparison, correlation coefficients from 0.95 to 0.99
are observed for monthly global horizontal irradiance values. In the case of air
temperature, correlation coefficients of 0.99 and for wind speed from 0.81 to
0.99 are observed. High correlation with ground measurements and relatively low
errors are confirmed, especially for irradiance and temperature values, that makes
MERRA-2 a valuable dataset, considering its world coverage and availability.
article_number: '882'
article_type: original
author:
- first_name: Arash
full_name: Khatibi, Arash
id: '43538'
last_name: Khatibi
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: Khatibi A, Krauter S. Validation and Performance of Satellite Meteorological
Dataset MERRA-2 for Solar and Wind Applications. Energies. 2021;14(4).
doi:10.3390/en14040882
apa: Khatibi, A., & Krauter, S. (2021). Validation and Performance of Satellite
Meteorological Dataset MERRA-2 for Solar and Wind Applications. Energies,
14(4), Article 882. https://doi.org/10.3390/en14040882
bibtex: '@article{Khatibi_Krauter_2021, title={Validation and Performance of Satellite
Meteorological Dataset MERRA-2 for Solar and Wind Applications}, volume={14},
DOI={10.3390/en14040882}, number={4882},
journal={Energies}, publisher={MDPI}, author={Khatibi, Arash and Krauter, Stefan},
year={2021} }'
chicago: Khatibi, Arash, and Stefan Krauter. “Validation and Performance of Satellite
Meteorological Dataset MERRA-2 for Solar and Wind Applications.” Energies
14, no. 4 (2021). https://doi.org/10.3390/en14040882.
ieee: 'A. Khatibi and S. Krauter, “Validation and Performance of Satellite Meteorological
Dataset MERRA-2 for Solar and Wind Applications,” Energies, vol. 14, no.
4, Art. no. 882, 2021, doi: 10.3390/en14040882.'
mla: Khatibi, Arash, and Stefan Krauter. “Validation and Performance of Satellite
Meteorological Dataset MERRA-2 for Solar and Wind Applications.” Energies,
vol. 14, no. 4, 882, MDPI, 2021, doi:10.3390/en14040882.
short: A. Khatibi, S. Krauter, Energies 14 (2021).
date_created: 2021-02-23T10:18:05Z
date_updated: 2022-01-06T13:37:34Z
ddc:
- '620'
department:
- _id: '53'
doi: 10.3390/en14040882
file:
- access_level: closed
content_type: application/pdf
creator: krauter
date_created: 2022-01-06T13:33:09Z
date_updated: 2022-01-06T13:33:09Z
file_id: '29177'
file_name: energies-14-00882 Khatibi Krauter MERRA 2.pdf
file_size: 3837152
relation: main_file
success: 1
file_date_updated: 2022-01-06T13:33:09Z
has_accepted_license: '1'
intvolume: ' 14'
issue: '4'
keyword:
- Solar irradiance
- MERRA 2
- Meteonorm
- DWD
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1996-1073/14/4/882/htm
oa: '1'
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Validation and Performance of Satellite Meteorological Dataset MERRA-2 for
Solar and Wind Applications
type: journal_article
user_id: '28836'
volume: 14
year: '2021'
...
---
_id: '24630'
abstract:
- lang: eng
text: Heat pumps are the key technology to decarbonise thermal processes
by upgrading industrial surplus heat using renewable electricity. Existing insight-based
integration methods refer to the idealised Grand Composite Curve requiring the
full exploitation of heat recovery potential but leave the question of how to
deal with technical or economic limitations unanswered. In this work, a novel
Heat Pump Bridge Analysis (HPBA) is introduced for practically targeting technical
and economic heat pump potential by applying Coefficient of Performance curves
into the Modified Energy Transfer Diagram (METD). Removing cross-Pinch violations
and operating heat exchangers at minimum approach temperatures by combined application
of Bridge Analysis increases the heat recovery rate and reduce the temperature
lift to be pumped at the same time. The insight-based METD allows the individual
matching of heat surpluses and deficits of individual streams with the capabilities
and performance of different market-available heat pump concepts. For an illustrative
example, the presented modifications based on HPBA increase the economically viable
share of the technical heat pump potential from 61% to 79%.
article_number: '137'
author:
- first_name: Florian
full_name: Schlosser, Florian
last_name: Schlosser
- first_name: Heinrich
full_name: Wiebe, Heinrich
last_name: Wiebe
- first_name: Timothy G.
full_name: Walmsley, Timothy G.
last_name: Walmsley
- first_name: Martin J.
full_name: Atkins, Martin J.
last_name: Atkins
- first_name: Michael R. W.
full_name: Walmsley, Michael R. W.
last_name: Walmsley
- first_name: Jens
full_name: Hesselbach, Jens
last_name: Hesselbach
citation:
ama: Schlosser F, Wiebe H, Walmsley TG, Atkins MJ, Walmsley MRW, Hesselbach J. Heat
Pump Bridge Analysis Using the Modified Energy Transfer Diagram. Energies.
Published online 2020. doi:10.3390/en14010137
apa: Schlosser, F., Wiebe, H., Walmsley, T. G., Atkins, M. J., Walmsley, M. R. W.,
& Hesselbach, J. (2020). Heat Pump Bridge Analysis Using the Modified Energy
Transfer Diagram. Energies, Article 137. https://doi.org/10.3390/en14010137
bibtex: '@article{Schlosser_Wiebe_Walmsley_Atkins_Walmsley_Hesselbach_2020, title={Heat
Pump Bridge Analysis Using the Modified Energy Transfer Diagram}, DOI={10.3390/en14010137},
number={137}, journal={Energies}, author={Schlosser, Florian and Wiebe, Heinrich
and Walmsley, Timothy G. and Atkins, Martin J. and Walmsley, Michael R. W. and
Hesselbach, Jens}, year={2020} }'
chicago: Schlosser, Florian, Heinrich Wiebe, Timothy G. Walmsley, Martin J. Atkins,
Michael R. W. Walmsley, and Jens Hesselbach. “Heat Pump Bridge Analysis Using
the Modified Energy Transfer Diagram.” Energies, 2020. https://doi.org/10.3390/en14010137.
ieee: 'F. Schlosser, H. Wiebe, T. G. Walmsley, M. J. Atkins, M. R. W. Walmsley,
and J. Hesselbach, “Heat Pump Bridge Analysis Using the Modified Energy Transfer
Diagram,” Energies, Art. no. 137, 2020, doi: 10.3390/en14010137.'
mla: Schlosser, Florian, et al. “Heat Pump Bridge Analysis Using the Modified Energy
Transfer Diagram.” Energies, 137, 2020, doi:10.3390/en14010137.
short: F. Schlosser, H. Wiebe, T.G. Walmsley, M.J. Atkins, M.R.W. Walmsley, J. Hesselbach,
Energies (2020).
date_created: 2021-09-17T09:33:55Z
date_updated: 2022-01-06T06:56:31Z
doi: 10.3390/en14010137
extern: '1'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
status: public
title: Heat Pump Bridge Analysis Using the Modified Energy Transfer Diagram
type: journal_article
user_id: '88614'
year: '2020'
...
---
_id: '53906'
article_number: '3947'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Akram
full_name: Shaabani, Akram
last_name: Shaabani
- first_name: Francisco
full_name: Javier Santos-Arteaga, Francisco
last_name: Javier Santos-Arteaga
- first_name: Iman
full_name: Raeesi Vanani, Iman
last_name: Raeesi Vanani
citation:
ama: Tavana M, Shaabani A, Javier Santos-Arteaga F, Raeesi Vanani I. A Review of
Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data
Analytics. Energies. 2020;13(15). doi:10.3390/en13153947
apa: Tavana, M., Shaabani, A., Javier Santos-Arteaga, F., & Raeesi Vanani, I.
(2020). A Review of Uncertain Decision-Making Methods in Energy Management Using
Text Mining and Data Analytics. Energies, 13(15), Article 3947.
https://doi.org/10.3390/en13153947
bibtex: '@article{Tavana_Shaabani_Javier Santos-Arteaga_Raeesi Vanani_2020, title={A
Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining
and Data Analytics}, volume={13}, DOI={10.3390/en13153947},
number={153947}, journal={Energies}, publisher={MDPI AG}, author={Tavana, Madjid
and Shaabani, Akram and Javier Santos-Arteaga, Francisco and Raeesi Vanani, Iman},
year={2020} }'
chicago: Tavana, Madjid, Akram Shaabani, Francisco Javier Santos-Arteaga, and Iman
Raeesi Vanani. “A Review of Uncertain Decision-Making Methods in Energy Management
Using Text Mining and Data Analytics.” Energies 13, no. 15 (2020). https://doi.org/10.3390/en13153947.
ieee: 'M. Tavana, A. Shaabani, F. Javier Santos-Arteaga, and I. Raeesi Vanani, “A
Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining
and Data Analytics,” Energies, vol. 13, no. 15, Art. no. 3947, 2020, doi:
10.3390/en13153947.'
mla: Tavana, Madjid, et al. “A Review of Uncertain Decision-Making Methods in Energy
Management Using Text Mining and Data Analytics.” Energies, vol. 13, no.
15, 3947, MDPI AG, 2020, doi:10.3390/en13153947.
short: M. Tavana, A. Shaabani, F. Javier Santos-Arteaga, I. Raeesi Vanani, Energies
13 (2020).
date_created: 2024-05-04T15:55:32Z
date_updated: 2024-05-04T15:56:50Z
department:
- _id: '277'
doi: 10.3390/en13153947
intvolume: ' 13'
issue: '15'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
publisher: MDPI AG
status: public
title: A Review of Uncertain Decision-Making Methods in Energy Management Using Text
Mining and Data Analytics
type: journal_article
user_id: '51811'
volume: 13
year: '2020'
...
---
_id: '24632'
abstract:
- lang: eng
text: Prerequisite for an efficient cooling energy system is the knowledge
and optimal combination of different operating conditions of individual compression
and free cooling chillers. The performance of cooling systems depends on their
part-load performance and their condensing temperature, which are often not continuously
measured. Recorded energy data remain unused, and manufacturers’ data differ from
the real performance. For this purpose, manufacturer and real data are combined
and continuously adapted to form part-load chiller models. This study applied
a predictive optimization algorithm to calculate the optimal operating conditions
of multiple chillers. A sprinkler tank offers the opportunity to store cold-water
for later utilization. This potential is used to show the load shifting potential
of the cooling system by using a variable electricity price as an input variable
to the optimization. The set points from the optimization have been continuously
adjusted throughout a dynamic simulation. A case study of a plastic processing
company evaluates different scenarios against the status quo. Applying an optimal
chiller sequencing and charging strategy of a sprinkler tank leads to electrical
energy savings of up to 43%. Purchasing electricity on the EPEX SPOT market leads
to additional costs savings of up to 17%. The total energy savings highly depend
on the weather conditions and the prediction horizon.
article_number: '1926'
author:
- first_name: Ron-Hendrik
full_name: Peesel, Ron-Hendrik
last_name: Peesel
- first_name: Florian
full_name: Schlosser, Florian
last_name: Schlosser
- first_name: Henning
full_name: Meschede, Henning
last_name: Meschede
- first_name: Heiko
full_name: Dunkelberg, Heiko
last_name: Dunkelberg
- first_name: Timothy
full_name: Walmsley, Timothy
last_name: Walmsley
citation:
ama: Peesel R-H, Schlosser F, Meschede H, Dunkelberg H, Walmsley T. Optimization
of Cooling Utility System with Continuous Self-Learning Performance Models. Energies.
Published online 2019. doi:10.3390/en12101926
apa: Peesel, R.-H., Schlosser, F., Meschede, H., Dunkelberg, H., & Walmsley,
T. (2019). Optimization of Cooling Utility System with Continuous Self-Learning
Performance Models. Energies, Article 1926. https://doi.org/10.3390/en12101926
bibtex: '@article{Peesel_Schlosser_Meschede_Dunkelberg_Walmsley_2019, title={Optimization
of Cooling Utility System with Continuous Self-Learning Performance Models}, DOI={10.3390/en12101926}, number={1926},
journal={Energies}, author={Peesel, Ron-Hendrik and Schlosser, Florian and Meschede,
Henning and Dunkelberg, Heiko and Walmsley, Timothy}, year={2019} }'
chicago: Peesel, Ron-Hendrik, Florian Schlosser, Henning Meschede, Heiko Dunkelberg,
and Timothy Walmsley. “Optimization of Cooling Utility System with Continuous
Self-Learning Performance Models.” Energies, 2019. https://doi.org/10.3390/en12101926.
ieee: 'R.-H. Peesel, F. Schlosser, H. Meschede, H. Dunkelberg, and T. Walmsley,
“Optimization of Cooling Utility System with Continuous Self-Learning Performance
Models,” Energies, Art. no. 1926, 2019, doi: 10.3390/en12101926.'
mla: Peesel, Ron-Hendrik, et al. “Optimization of Cooling Utility System with Continuous
Self-Learning Performance Models.” Energies, 1926, 2019, doi:10.3390/en12101926.
short: R.-H. Peesel, F. Schlosser, H. Meschede, H. Dunkelberg, T. Walmsley, Energies
(2019).
date_created: 2021-09-17T09:35:31Z
date_updated: 2022-01-06T06:56:31Z
doi: 10.3390/en12101926
extern: '1'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
status: public
title: Optimization of Cooling Utility System with Continuous Self-Learning Performance
Models
type: journal_article
user_id: '88614'
year: '2019'
...
---
_id: '24634'
abstract:
- lang: eng
text: For increased total site heat integration, the optimal sizing and
robust operation of a heat recovery loop (HRL) are prerequisites for economic
efficiency. However, sizing based on one representative time series, not considering
the variability of process streams due to their discontinuous operation, often
leads to oversizing. The sensitive evaluation of the performance of an HRL by
Monte Carlo (MC) simulation requires sufficient historical data and performance
models. Stochastic time series are generated by distribution functions of measured
data. With these inputs, one can then model and reliably assess the benefits of
installing a new HRL. A key element of the HRL is a stratified heat storage tank.
Validation tests of a stratified tank (ST) showed sufficient accuracy with acceptable
simulation time for the variable layer height (VLH) multi-node (MN) modelling
approach. The results of the MC simulation of the HRL system show only minor yield
losses in terms of heat recovery rate (HRR) for smaller tanks. In this way, costs
due to oversizing equipment can be reduced by better understanding the energy-capital
trade-off.
article_number: '930'
author:
- first_name: Florian
full_name: Schlosser, Florian
id: '88614'
last_name: Schlosser
- first_name: Ron-Hendrik
full_name: Peesel, Ron-Hendrik
last_name: Peesel
- first_name: Henning
full_name: Meschede, Henning
last_name: Meschede
- first_name: Matthias
full_name: Philipp, Matthias
last_name: Philipp
- first_name: Timothy
full_name: Walmsley, Timothy
last_name: Walmsley
- first_name: Michael
full_name: Walmsley, Michael
last_name: Walmsley
- first_name: Martin
full_name: Atkins, Martin
last_name: Atkins
citation:
ama: Schlosser F, Peesel R-H, Meschede H, et al. Design of Robust Total Site Heat
Recovery Loops via Monte Carlo Simulation. Energies. Published online 2019.
doi:10.3390/en12050930
apa: Schlosser, F., Peesel, R.-H., Meschede, H., Philipp, M., Walmsley, T., Walmsley,
M., & Atkins, M. (2019). Design of Robust Total Site Heat Recovery Loops via
Monte Carlo Simulation. Energies, Article 930. https://doi.org/10.3390/en12050930
bibtex: '@article{Schlosser_Peesel_Meschede_Philipp_Walmsley_Walmsley_Atkins_2019,
title={Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation},
DOI={10.3390/en12050930}, number={930},
journal={Energies}, author={Schlosser, Florian and Peesel, Ron-Hendrik and Meschede,
Henning and Philipp, Matthias and Walmsley, Timothy and Walmsley, Michael and
Atkins, Martin}, year={2019} }'
chicago: Schlosser, Florian, Ron-Hendrik Peesel, Henning Meschede, Matthias Philipp,
Timothy Walmsley, Michael Walmsley, and Martin Atkins. “Design of Robust Total
Site Heat Recovery Loops via Monte Carlo Simulation.” Energies, 2019. https://doi.org/10.3390/en12050930.
ieee: 'F. Schlosser et al., “Design of Robust Total Site Heat Recovery Loops
via Monte Carlo Simulation,” Energies, Art. no. 930, 2019, doi: 10.3390/en12050930.'
mla: Schlosser, Florian, et al. “Design of Robust Total Site Heat Recovery Loops
via Monte Carlo Simulation.” Energies, 930, 2019, doi:10.3390/en12050930.
short: F. Schlosser, R.-H. Peesel, H. Meschede, M. Philipp, T. Walmsley, M. Walmsley,
M. Atkins, Energies (2019).
date_created: 2021-09-17T09:38:37Z
date_updated: 2022-01-06T06:56:31Z
doi: 10.3390/en12050930
extern: '1'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
status: public
title: Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation
type: journal_article
user_id: '88614'
year: '2019'
...
---
_id: '21617'
abstract:
- lang: eng
text: In the fight against anthropogenic climate change, the benefit of
the integration of fluctuating renewable energies (wind and photovoltaics) into
the electricity grid is a widely proved concept. At the same time, a fluctuating
and decentralised supply of energy, especially at lower voltage levels, leads
to a local discrepancy in the power balance between generation and consumption.
A possible solution in connection with demand side management is the grid-oriented
flexibilisation of energy demand. The present study shows how the use of an innovative
hybrid-redundant high-temperature heat system (combined heat and power (CHP),
power-to-heat system (PtH), gas boiler) can contribute to a flexibilisation of
the electrical energy demand of plastics processing companies. In this context,
the flexibilisation potential of a company is to be understood as the grid-related
change of the energy supply through a change of the energy sources within the
framework of the process heat supply. For this purpose, an omniscient control
algorithm is developed that specifies the schedule of the individual system components.
A sensitivity analysis is used to test the functionality of the control algorithm.
Determination of the electrical flexibilisation potential is carried out via a
comprehensive simulation study using Monte Carlo methods. For this purpose, the
residual load curves of four characteristic distribution grids with a high share
of renewable energies as well as heat load profiles of injection moulding machines
are taken into consideration. A frequency distribution provides information on
the electrical flexibilisation potential to be expected depending on the various
combinations. The evaluation is carried out using a specially introduced logic,
which identifies grid-relevant changes in the company's power consumption as flexibilisation
potential based on a reference load curve. The results show that a reliable energy
supply for production is possible despite flexibilisation. Depending on the grid
under consideration, there are differences in the exploitation of the potential,
which essentially depends on the installed renewable capacity. Depending on the
scenario under consideration, an average of up to 1486 kWhel can be shifted in
a positive direction and 1199 kWhel in a negative direction.
article_number: '711'
author:
- first_name: Heiko
full_name: Dunkelberg, Heiko
last_name: Dunkelberg
- first_name: Maximilian
full_name: Sondermann, Maximilian
last_name: Sondermann
- first_name: Henning
full_name: Meschede, Henning
id: '86954'
last_name: Meschede
- first_name: Jens
full_name: Hesselbach, Jens
last_name: Hesselbach
citation:
ama: Dunkelberg H, Sondermann M, Meschede H, Hesselbach J. Assessment of Flexibilisation
Potential by Changing Energy Sources Using Monte Carlo Simulation. Energies.
Published online 2019. doi:10.3390/en12040711
apa: Dunkelberg, H., Sondermann, M., Meschede, H., & Hesselbach, J. (2019).
Assessment of Flexibilisation Potential by Changing Energy Sources Using Monte
Carlo Simulation. Energies, Article 711. https://doi.org/10.3390/en12040711
bibtex: '@article{Dunkelberg_Sondermann_Meschede_Hesselbach_2019, title={Assessment
of Flexibilisation Potential by Changing Energy Sources Using Monte Carlo Simulation},
DOI={10.3390/en12040711}, number={711},
journal={Energies}, author={Dunkelberg, Heiko and Sondermann, Maximilian and Meschede,
Henning and Hesselbach, Jens}, year={2019} }'
chicago: Dunkelberg, Heiko, Maximilian Sondermann, Henning Meschede, and Jens Hesselbach.
“Assessment of Flexibilisation Potential by Changing Energy Sources Using Monte
Carlo Simulation.” Energies, 2019. https://doi.org/10.3390/en12040711.
ieee: 'H. Dunkelberg, M. Sondermann, H. Meschede, and J. Hesselbach, “Assessment
of Flexibilisation Potential by Changing Energy Sources Using Monte Carlo Simulation,”
Energies, Art. no. 711, 2019, doi: 10.3390/en12040711.'
mla: Dunkelberg, Heiko, et al. “Assessment of Flexibilisation Potential by Changing
Energy Sources Using Monte Carlo Simulation.” Energies, 711, 2019, doi:10.3390/en12040711.
short: H. Dunkelberg, M. Sondermann, H. Meschede, J. Hesselbach, Energies (2019).
date_created: 2021-04-13T10:27:14Z
date_updated: 2022-03-29T08:37:03Z
doi: 10.3390/en12040711
extern: '1'
language:
- iso: eng
publication: Energies
publication_identifier:
issn:
- 1996-1073
publication_status: published
status: public
title: Assessment of Flexibilisation Potential by Changing Energy Sources Using Monte
Carlo Simulation
type: journal_article
user_id: '86954'
year: '2019'
...