@misc{13678, abstract = {{The previous methodology for optimizing CO2 emissions and electricity costs in industrial applications is extended by integrating dynamic load shifting with battery energy storage. Building on earlier work that employed Mixed-Integer Linear Programming (MILP) to manage a stationary battery based on real-time electricity prices and CO2 intensity signals, two industrial machines and one electric vehicle (EV) are now incorporated as additional shiftable loads. These new elements introduce further operational constraints while enhancing energy management flexibility. The framework employs an adjustable weighting factor λ to balance environmental impact and cost, and comparative analyses across three scenarios—battery-only, load-shifting-only, and combined—demonstrate nearly additive CO2 reductions alongside non-additive cost improvements, underscoring the synergistic potential for environmental benefits despite diminishing cost returns. Moreover, validation against dynamic programming confirms the MILP approach’s accuracy and computational efficiency.}}, author = {{Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)}}, keywords = {{Feeds, Antennas, System-on-chip, Application specific integrated circuits, Life cycle assessment, Product lifecycle management, Radio access networks, Regional area networks, Smart devices, OWL}}, location = {{Paris, France }}, publisher = {{IEEE}}, title = {{{Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories}}}, doi = {{10.1109/icecet63943.2025.11472530}}, year = {{2026}}, } @misc{13675, abstract = {{This paper extends a previously developed biobjective Mixed-Integer Linear Programming (MILP) methodology for reducing electricity costs and CO2 emissions in Smart-E-Factory applications. While the earlier approach assumed fixed photovoltaic (PV) and battery capacities, we now propose a cascaded optimization framework to determine the optimal sizing (power rating and orientation of the PV system, battery capacity) while simultaneously optimizing battery dispatch. The cost function combines operational costs with amortized investment costs of both PV and battery systems, embedded in a dynamic scheduling optimization that addresses real-time electricity price and CO2 signals. Numerical results indicate that intermediate capacities and balanced east/west orientation maximize cost-effectiveness and emission reductions. This study underscores the value of coupling parametric design and dispatch optimization to achieve scalable, sustainable solutions for industrial energy systems.}}, author = {{Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{ 6th International Conference on Electrical, Communication and Computer Engineering (ICECCE 2025) : 27-28 August 2025, Istanbul, Türkiye}}, isbn = {{979-8-3315-4915-2 }}, keywords = {{Photovoltaic systems, Cost, Electricity, Tariffs, Stochastic processes, Real-time systems, Robustness, Batteries, Planning, Mixed integer linear programming}}, location = {{Istanbul, Turkiye }}, publisher = {{IEEE}}, title = {{{Cascaded Optimization of PV and Battery Sizing Under Dynamic Cost and CO Signals}}}, doi = {{10.1109/icecce67514.2025.11257982}}, year = {{2025}}, } @misc{13224, abstract = {{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 = {{Mousavi, Seyed Davood and Griese, Martin and Schulte, Thomas}}, booktitle = {{2024 International Conference on Electrical and Computer Engineering Researches (ICECER)}}, keywords = {{CO2 Reduction, Electricity Cost Minimization, Life Cycle Assessment, MILP, Smart-E-Factory, Dynamic Energy Management}}, location = {{Gaborone, Botswana }}, publisher = {{IEEE}}, title = {{{Dynamic Optimization of CO2 Emissions and Electricity Costs in Smart Factories}}}, doi = {{10.1109/icecer62944.2024.10920418}}, year = {{2024}}, } @misc{11306, abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, one way they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MONOCABs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a trim mass. They could make an important contribution to improve the mobility offer especially in rural areas. Regarding the MONOCAB, there is currently no reference in comparison with other vehicles. It is mandatory to gain experience before transferring such a new vehicle concept into commercial operation. Especially the safe and robust commissioning of the stabilization control system is crucial and therefore requires an elaborated procedure. At this step, parameters related to the vertical dynamics have to be determined beforehand. This paper presents a comparative investigation of methods to estimate the moment of inertia and gravitational torque constant. Multiple methods in time-domain and frequency-domain are experimentally evaluated and compared with each other. Experimental tests are carried out with a full-scale monorail vehicle.}}, author = {{Griese, Martin and Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)}}, isbn = {{978-1-6654-7634-8}}, issn = {{2159-6255}}, keywords = {{Parameter identification, Vehicle dynamics, Control moment gyroscope, Roll stabilization, Monorail vehicles}}, location = {{Seattle, Wash.}}, pages = {{1196--1201}}, publisher = {{IEEE}}, title = {{{Parameter identification related to vertical dynamic of a self-stabilizing monorail vehicle}}}, doi = {{10.1109/aim46323.2023.10196189}}, year = {{2023}}, } @misc{11307, abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, one way they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MonoCabs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a trim mass. They could make an important contribution to improve the mobility offer especially in rural areas. Regarding the MonoCab, there is currently no reference in comparison with other vehicles and no experimental experience or the like. To ensure the function and safety of the vehicle even before implementation, a model-based design of the system is carried out for development and analysis. In order to test the developed algorithms, this paper presents a Hardware-in-the-loop structure considering a detailed model of the vehicle and real electronic control units to accurately represent the overall system. Two scenarios are investigated and compared to offline simulations showing that the functionality of the system can be ensured in operation.}}, author = {{Griese, Martin and Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society}}, isbn = {{978-1-6654-8026-0}}, location = {{Brussels, Belgium}}, publisher = {{IEEE}}, title = {{{HIL simulation of a self-stabilizing monorail vehicle}}}, doi = {{10.1109/iecon49645.2022.9968495}}, year = {{2022}}, } @misc{8385, abstract = {{Currently, numerous single-track railway lines are disused due to economic reasons. However, they could be reactivated for a bidirectional on-demand service traffic by small vehicles that use only one rail. MonoCabs are such small cabin-like vehicles, stabilized by a system of control moment gyroscopes and a moveable mass. They could make an important contribution to improve the mobility offer especially in rural areas. This paper focuses on the analytical modeling and vertical stabilization system of the MonoCab. A nonlinear dynamic model is obtained using the Lagrangian method and subsequently linearized about its equilibrium point. Which is used for the design of the cascade control system. The dynamic analysis of the system is accomplished by comparing between analytically derived model in simulink environment and same structured model in simscape multibody. This system is discussed based on a physical three body model which describes the rolling motion of the vehicle, the lateral motion of the mass and the precession motion of the gyroscope. The model is utilized for a cascaded control concept adjusting the vehicle’s roll angle and gyroscope’s precession angle. The proposed stabilization concept is capable of compensating both high dynamic disturbances and stationary disturbances (e. g. unbalanced loads and steady wind flows). The concept is analyzed by simulations and experimental investigations. Beside transient command responses also the frequency response of the system is experimentally evaluated and used for a validation of the model and theoretical findings. For the experimental validation, a small scaled test rig is used which consists of mechanical frames and flywheels, inverter-fed drives, rotary encoders, an inertial measurement unit (IMU) and a rapid control prototyping system.}}, author = {{Griese, Martin and Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{2021 9th International Conference on Control, Mechatronics and Automation (ICCMA)}}, keywords = {{Vehicle dynamics, Control moment gyroscope, Control system analysis, Roll stabilization, Monorail vehicles}}, location = {{Belval, Luxembourg }}, pages = {{205--210}}, publisher = {{IEEE}}, title = {{{Modeling the Vertical Dynamics of a Self-stabilizing Monorail Vehicle}}}, doi = {{10.1109/ICCMA54375.2021.9646219}}, year = {{2021}}, }