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A weighted design optimization is introduced to minimize total loss of electric vehicle drivetrain power electronics over EPA standard drive cycles. It is shown that the net loss of the conventional boost converter can be reduced by a factor of 1.5 with this approach, while computational effort is reduced by three orders of magnitude. Even larger efficiency improvements are achieved by optimized boost...
This paper assesses the potential fuel savings benefits that can be gained from wind optimal flight trajectories. This question is posed on a 3 dimensional fixed flight network consisting of discrete waypoints which is representative of the size of Europe. The optimisation implements Dijkstra's shortest path algorithm to compute the minimum fuel burn route through a network and compares this to the...
As an important section in the chain of semiconductor products manufacturing, dispensing techniques and relevant dispensers drawn increasing attentions of the researchers and engineers in recent years. In some applications, the dispenser cycles are required to be completed within 2 ms and the corresponding dot diameters are usually in micrometer scale, and sometimes even in nanometer scale when extremely...
This paper investigates the deployment of multi-tethered InSAR system applied in GMTI missions. Since the baselines for GMTI are usually short, the tethers whose length is almost identical to the baselines are short as well. As a consequence, the deploy mechanism should not work under this condition to avoid the unsuccessful deployment caused by the output error of the mechanism. Hence, the free deployment...
This paper analyzes the pessimistic effect on the inherent load shifting potential (LSP) of buildings due to the participation in the reserve market. A generic model-based optimization approach is deployed, which uses a validated dynamic model along with its experienced external and internal disturbances, to quantify the LSP in the presence of various price signals. The theoretical maximum LSP is...
This paper develops a hierarchical framework required to solve optimal demand dispatch of multiple buildings coordinating building energy management systems (BEMSs) and distribution system operation (DSO) control center. The proposed framework consists of mathematical model of heating, ventilation and air-conditioning (HVAC) load in buildings, model of distribution grid, objectives of BEMSs and DSO,...
In this article, a general Benders Decomposition is applied to solve a stochastic mixed integer programming formulation (SMIP) to obtain the optimal sizing of a photovoltaic system (PV) and battery energy storage system (BESS) to power a Residential Heating Ventilation and Air- Conditioning System (HVAC). The uncertainty of PV-output is stochastically modeled using different scenarios with the probability...
With the increasing number of long range free flight, the flight path planning becomes an important issue. In this paper, the expected path is defined as linear potential field. The trajectory equation to determine maximum likelihood flight heading is established by calculating aircraft potential field gravitation of the trajectory at any space position. The air speed degradation model is built by...
One of the challenges concerning proton exchange membrane fuel cell (PEMFC) is how to control the air compressor voltage so that enough oxygen is provided for reaction, while the net power (the produced electrical power minus the air compressor used power) is maximized. Another challenge is the enhancement of the PEMFC lifespan by controlling the inlet hydrogen flow in a way that enough hydrogen is...
In this paper is described the thermodynamic model for underground coal gasification (UCG) and it is use for optimal adjustment for input parameters. For UCG process the input quantity of oxidizer (air, oxygen, water steam) is an important input parameter, respectively for process control his volume flow. In the case of a known quantity of coal for underground coal gasification it is possible by using...
Issues in Energy Efficiency of Data Centers (DC) are important, due to the cumulative effects of the increase in the DCs number and in the energy consumption per center. Developing new design recommendations to improve a cooling system efficiency, commonly quantified by the PUE metric (Power Usage Effectiveness) is one objective of the Green IT organizations. For existing DCs, without considering...
A decarbonized society involves people living and working in low-energy and low-emission buildings. A smart multi-Terminal DC micro-grids interconnecting several autonomous zero-net energy buildings (ZNEBs) allow the transition to a decarbonized economy, however, involves several challenges. This paper evaluates the problem of an optimal topology for a cluster of several ZNEBs and it takes several...
This paper describes a modeling and optimization of operation for small compressed-air energy systems (CAES) in the range of kW, typical of small and medium enterprises (SME) and energy intensive industry. These CAES are equipped with air storage. This paper analyzes how those systems may provide flexibility for electrical Demand Response (DR) in city districts. The paper presents first, the modeling...
Exergy is defined as the useful work available to a system. Exergy efficiency is an overall system metric that integrates across disciplines where exergy is used as a "common currency. " The use of exergy efficiency gives an overall performance metric which accounts for interactions and couplings between systems. As a holistic metric designers can focus on modifying design variables to improve...
We propose a methodology for architecture exploration for Cyber-Physical Systems (CPS) based on an iterative, optimization-based approach, where a discrete architecture selection engine is placed in a loop with a continuous sizing engine. The discrete optimization routine proposes a candidate architecture to the sizing engine. The sizing routine optimizes over the continuous parameters using simulation...
This paper discusses a practical implementation for photogrammetry missions in an UAV setting. Further advances, which exploit geometrical properties of the problem are considered. In particular, a bi-level optimization procedure which minimizes the total path-length is discussed. Various constraints and limitations are taken into account.
This paper is devoted to the flight control system design for the longitudinal motion of the “benchmark” model of Unmanned Aerial Vehicle in the presence of external stochastic disturbances and incomplete measurements of state variables. To solve this problem the parametric optimization procedure used for determination of the desirable location of the reduced-order observer (Luenberger filter) poles,...
The paper deals the design of the robust flight control systems for small unmanned aerial vehicles designed via parametric H2/H∞-optimization and structural - parametric synthesis. Control systems have to satisfy contradictory requirements of performance and robustness from one hand and low cost and simplicity from other hand.
This paper presents a novel identification method for a heavy duty industrial gas turbine (HDGT). It has 162.1 MW nominal power and 50 Hz nominal frequency. The acquired data from the industrial gas turbine include turbine output power and turbine exhaust output temperature. A simplified and most commonly used model of the heavy-duty gas turbines is used for gray box identification of the GT. This...
This paper is dedicated to the optimization of the driving strategy of a high efficiency fuel cell based power train. This power train is developed to equip an urban-concept vehicle that runs energetic races where the objectives are to go the furthest with the lowest quantity of fuel (Shell Eco Marathon). Through a comprehensive dynamical model, including the mechanical requirement, the thermal behavior...
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