---
_id: '58543'
abstract:
- lang: eng
text: This work analyses load profiles for East African microgrids, and
then investigates the integration of electric two-wheelers and portable storage
into a solar PV with battery microgrid in Uganda, East Africa. By introducing
e-mobility and portable storage, demand side management strategic load growth
can thus be achieved and electricity access can be expanded. Battery degradation
is also considered. The results showed a 98.5% reduction in PV energy curtailment
and a 57% reduction in the levelized cost of energy (LCOE) from 0.808 USD/kWh
to 0.350 USD/kWh when the electric two-wheeler and portable storage loads were
introduced. Such reductions are important enablers of financial viability and
sustainability of microgrids. It is possible to avoid emissions of up to 73.27
tons of CO2/year with the proposed e-bikes, and an average of 160 customers could
be served annually as off-microgrid consumers without requiring an investment
in additional distribution infrastructure. Annual revenue could be increased by
135% by incorporating the additional loads. Sensitivity analyses were conducted
by varying component costs, the battery lifetime, the interest rate, and the priority
weighting of the additional loads. The battery costs were found to be a major
contributor to lifecycle costs (LCC) and also have a big impact on the LCOE. The
interest rate significantly affects the LCC as well.
author:
- first_name: Josephine Nakato
full_name: Kakande, Josephine Nakato
id: '88649'
last_name: Kakande
- first_name: Godiana Hagile
full_name: Philipo, Godiana Hagile
id: '88505'
last_name: Philipo
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: Kakande JN, Philipo GH, Krauter S. Optimized E-Mobility and Portable Storage
Integration in an Isolated Rural Solar Microgrid in Uganda. Solar. 2024;4(4):694-727.
doi:10.3390/solar4040033
apa: Kakande, J. N., Philipo, G. H., & Krauter, S. (2024). Optimized E-Mobility
and Portable Storage Integration in an Isolated Rural Solar Microgrid in Uganda.
Solar, 4(4), 694–727. https://doi.org/10.3390/solar4040033
bibtex: '@article{Kakande_Philipo_Krauter_2024, title={Optimized E-Mobility and
Portable Storage Integration in an Isolated Rural Solar Microgrid in Uganda},
volume={4}, DOI={10.3390/solar4040033},
number={4}, journal={Solar}, publisher={MDPI AG}, author={Kakande, Josephine Nakato
and Philipo, Godiana Hagile and Krauter, Stefan}, year={2024}, pages={694–727}
}'
chicago: 'Kakande, Josephine Nakato, Godiana Hagile Philipo, and Stefan Krauter.
“Optimized E-Mobility and Portable Storage Integration in an Isolated Rural Solar
Microgrid in Uganda.” Solar 4, no. 4 (2024): 694–727. https://doi.org/10.3390/solar4040033.'
ieee: 'J. N. Kakande, G. H. Philipo, and S. Krauter, “Optimized E-Mobility and Portable
Storage Integration in an Isolated Rural Solar Microgrid in Uganda,” Solar,
vol. 4, no. 4, pp. 694–727, 2024, doi: 10.3390/solar4040033.'
mla: Kakande, Josephine Nakato, et al. “Optimized E-Mobility and Portable Storage
Integration in an Isolated Rural Solar Microgrid in Uganda.” Solar, vol.
4, no. 4, MDPI AG, 2024, pp. 694–727, doi:10.3390/solar4040033.
short: J.N. Kakande, G.H. Philipo, S. Krauter, Solar 4 (2024) 694–727.
date_created: 2025-02-10T06:01:46Z
date_updated: 2025-02-10T06:02:32Z
department:
- _id: '53'
doi: 10.3390/solar4040033
intvolume: ' 4'
issue: '4'
language:
- iso: eng
page: 694-727
publication: Solar
publication_identifier:
issn:
- 2673-9941
publication_status: published
publisher: MDPI AG
status: public
title: Optimized E-Mobility and Portable Storage Integration in an Isolated Rural
Solar Microgrid in Uganda
type: journal_article
user_id: '16148'
volume: 4
year: '2024'
...
---
_id: '35428'
abstract:
- lang: eng
text: This paper presents a model of an energy system for a private household extended
by a lifetime prognosis. The energy system was designed for fully covering the
year-round energy demand of a private household on the basis of electricity generated
by a photovoltaic (PV) system, using a hybrid energy storage system consisting
of a hydrogen unit and a lithium-ion battery. Hydrogen is produced with a Proton
Exchange Membrane (PEM) electrolyser by PV surplus during the summer months and
then stored in a hydrogen tank. Mainly during winter, in terms of lack of PV energy,
the hydrogen is converted back into electricity and heat by a fuel cell. The model
was created in Matlab/Simulink and is based on real input data. Heat demand was
also taken into account and is covered by a heat pump. The simulation period is
a full year to account for the seasonality of energy production and demand. Due
to high initial costs, the longevity of such an energy system is of vital interest.
Therefore, this model was extended by a lifetime prediction in order to optimize
the dimensioning with the aim of lifetime extension of a hydrogen-based energy
system. Lifetime influencing factors were identified on the basis of a literature
review and were integrated in the model. An extensive parameter study was performed
to evaluate different dimensionings regarding the energy balance and the lifetime
of the three components, electrolyser, fuel cell and lithium-ion battery. The
results demonstrate the benefits of a holistic modelling approach and enable a
design optimization regarding the use of resources, lifetime and self-sufficiency
of the system
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. Dimensioning and Lifetime Prediction Model for a Hybrid,
Hydrogen-Based Household PV Energy System Using Matlab/Simulink. Solar.
2023;3(1):25-48. doi:10.3390/solar3010003
apa: Möller, M. C., & Krauter, S. (2023). Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.
Solar, 3(1), 25–48. https://doi.org/10.3390/solar3010003
bibtex: '@article{Möller_Krauter_2023, title={Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink},
volume={3}, DOI={10.3390/solar3010003},
number={1}, journal={Solar}, publisher={MDPI AG}, author={Möller, Marius Claus
and Krauter, Stefan}, year={2023}, pages={25–48} }'
chicago: 'Möller, Marius Claus, and Stefan Krauter. “Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.”
Solar 3, no. 1 (2023): 25–48. https://doi.org/10.3390/solar3010003.'
ieee: 'M. C. Möller and S. Krauter, “Dimensioning and Lifetime Prediction Model
for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink,”
Solar, vol. 3, no. 1, pp. 25–48, 2023, doi: 10.3390/solar3010003.'
mla: Möller, Marius Claus, and Stefan Krauter. “Dimensioning and Lifetime Prediction
Model for a Hybrid, Hydrogen-Based Household PV Energy System Using Matlab/Simulink.”
Solar, vol. 3, no. 1, MDPI AG, 2023, pp. 25–48, doi:10.3390/solar3010003.
short: M.C. Möller, S. Krauter, Solar 3 (2023) 25–48.
date_created: 2023-01-09T06:35:00Z
date_updated: 2023-01-09T06:36:10Z
department:
- _id: '53'
doi: 10.3390/solar3010003
intvolume: ' 3'
issue: '1'
language:
- iso: eng
page: 25-48
publication: Solar
publication_identifier:
issn:
- 2673-9941
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Dimensioning and Lifetime Prediction Model for a Hybrid, Hydrogen-Based Household
PV Energy System Using Matlab/Simulink
type: journal_article
user_id: '16148'
volume: 3
year: '2023'
...