scholarly journals A MILP Optimization Method for Building Seasonal Energy Storage: A Case Study for a Reversible Solid Oxide Cell and Hydrogen Storage System

Buildings ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 123
Author(s):  
Oscar Lindholm ◽  
Robert Weiss ◽  
Ala Hasan ◽  
Frank Pettersson ◽  
Jari Shemeikka
Keyword(s):  
Energy Storage ◽  
Hydrogen Storage ◽  
Storage System ◽  
Optimization Method ◽  
Hydrogen Gas ◽  
Time Step ◽  
Hydrogen Storage System ◽  
Solid Oxide Cell ◽  
Reversible Solid Oxide Cell

A new method for the optimization of seasonal energy storage is presented and applied in a case study. The optimization method uses an interval halving approach to solve computationally demanding mixed integer linear programming (MILP) problems with both integer and non-integer operation variables (variables that vary from time step to time step in during energy storage system operation). The seasonal energy storage in the case study uses a reversible solid oxide cell (RSOC) to convert electricity generated by solar photovoltaic (PV) panels into hydrogen gas and to convert hydrogen gas back to electricity while also generating some heat. Both the case study results and the optimization method accuracy are examined and discussed in the paper. In the case study, the operation of the RSOC and hydrogen storage system is compared with the operation of a reference system without energy storage. The results of the study show that installing an RSOC and hydrogen storage system could increase the utilization of onsite renewable energy generation significantly. Overall, the optimization method presents a relatively accurate solution to the case study optimization problem and a sensibility analysis shows a clear and logical pattern.

Techno-econo-environmental optimal operation of grid-wind-solar electricity generation with hydrogen storage system for domestic scale, case study in Chad

2019 ◽  
Vol 44 (54) ◽  
pp. 28613-28628 ◽  
Author(s):  
Mehdi Jahangiri ◽  
Marcel Hamda Soulouknga ◽  
Fatemeh Karimzadeh Bardei ◽  
Akbar Alidadi Shamsabadi ◽  
Esther T. Akinlabi ◽  
...  
Keyword(s):  
Hydrogen Storage ◽  
Electricity Generation ◽  
Storage System ◽  
Optimal Operation ◽  
Hydrogen Storage System ◽  
Solar Electricity

Process modeling of a reversible solid oxide cell (r-SOC) energy storage system utilizing commercially available SOC reactor

2017 ◽  
Vol 142 ◽  
pp. 477-493 ◽  
Author(s):  
Pegah Mottaghizadeh ◽  
Srikanth Santhanam ◽  
Marc P. Heddrich ◽  
K. Andreas Friedrich ◽  
Fabio Rinaldi
Keyword(s):  
Energy Storage ◽  
Process Modeling ◽  
Storage System ◽  
Energy Storage System ◽  
Solid Oxide ◽  
Solid Oxide Cell ◽  
Reversible Solid Oxide Cell

scholarly journals On the Investigation of Energy Efficient Torque Distribution Strategies through a Comprehensive Powertrain Model

2021 ◽  
Vol 13 (8) ◽  
pp. 4549
Author(s):  
Sara Salamone ◽  
Basilio Lenzo ◽  
Giovanni Lutzemberger ◽  
Francesco Bucchi ◽  
Luca Sani
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Efficient ◽  
Storage System ◽  
Energy Storage System ◽  
Torque Distribution ◽  
Driving Cycles ◽  
Energy Models ◽  
Battery State Of Charge

In electric vehicles with multiple motors, the torque at each wheel can be controlled independently, offering significant opportunities for enhancing vehicle dynamics behaviour and system efficiency. This paper investigates energy efficient torque distribution strategies for improving the operational efficiency of electric vehicles with multiple motors. The proposed strategies are based on the minimisation of power losses, considering the powertrain efficiency characteristics, and are easily implementable in real-time. A longitudinal dynamics vehicle model is developed in Simulink/Simscape environment, including energy models for the electrical machines, the converter, and the energy storage system. The energy efficient torque distribution strategies are compared with simple distribution schemes under different standardised driving cycles. The effect of the different strategies on the powertrain elements, such as the electric machine and the energy storage system, are analysed. Simulation results show that the optimal torque distribution strategies provide a reduction in energy consumption of up to 5.5% for the case-study vehicle compared to simple distribution strategies, also benefiting the battery state of charge.

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