TY  - JOUR
A1  - Rupp, Matthias
A1  - Schulze, Sven
A1  - Kuperjans, Isabel
T1  - Comparative life cycle analysis of conventional and hybrid heavy-duty trucks
JF  - World electric vehicle journal
N2  - Heavy-duty trucks are one of the main contributors to greenhouse gas emissions in German traffic. Drivetrain electrification is an option to reduce tailpipe emissions by increasing energy conversion efficiency. To evaluate the vehicle’s environmental impacts, it is necessary to consider the entire life cycle. In addition to the daily use, it is also necessary to include the impact of production and disposal. This study presents the comparative life cycle analysis of a parallel hybrid and a conventional heavy-duty truck in long-haul operation. Assuming a uniform vehicle glider, only the differing parts of both drivetrains are taken into account to calculate the environmental burdens of the production. The use phase is modeled by a backward simulation in MATLAB/Simulink considering a characteristic driving cycle. A break-even analysis is conducted to show at what mileage the larger CO2eq emissions due to the production of the electric drivetrain are compensated. The effect of parameter variation on the break-even mileage is investigated by a sensitivity analysis. The results of this analysis show the difference in CO2eq/t km is negative, indicating that the hybrid vehicle releases 4.34 g CO2eq/t km over a lifetime fewer emissions compared to the diesel truck. The break-even analysis also emphasizes the advantages of the electrified drivetrain, compensating the larger emissions generated during production after already a distance of 15,800 km (approx. 1.5 months of operation time). The intersection coordinates, distance, and CO2eq, strongly depend on fuel, emissions for battery production and the driving profile, which lead to nearly all parameter variations showing an increase in break-even distance.
Y1  - 2018
U6  - http://dx.doi.org/10.3390/wevj9020033
SN  - 2032-6653
VL  - 9
IS  - 2
SP  - Article No. 33
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Rieke, Christian
A1  - Stollenwerk, Dominik
A1  - Dahmen, Markus
A1  - Pieper, Martin
T1  - Modeling and optimization of a biogas plant for a demand-driven energy supply
JF  - Energy
N2  - Due to the Renewable Energy Act, in Germany it is planned to increase the amount of renewable energy carriers up to 60%. One of the main problems is the fluctuating supply of wind and solar energy. Here biogas plants provide a solution, because a demand-driven supply is possible. Before running such a plant, it is necessary to simulate and optimize the process. This paper provides a new model of a biogas plant, which is as accurate as the standard ADM1 model. The advantage compared to ADM1 is that it is based on only four parameters compared to 28. Applying this model, an optimization was installed, which allows a demand-driven supply by biogas plants. Finally the results are confirmed by several experiments and measurements with a real test plant.
Y1  - 2018
U6  - http://dx.doi.org/10.1016/j.energy.2017.12.073
SN  - 0360-5442
VL  - 145
SP  - 657
EP  - 664
PB  - Elsevier
CY  - Amsterdam
ER  -