研究

HydroCav CFD-实验研究

通过数值和实验研究了稳态和倾斜2D和3D水翼在周期性脱落过程中的空腔生长，发展和折断

方法：数值模拟，3D可视化，PIV，实验分析

带风镜技术的带罩风轮机

该研究集中在名为“风镜”的风能增强技术上。 通过局部收集和集中风能来提高风速。

方法：数值模拟，实验分析

泵表面粗糙度对性能和空化的影响

泵表面粗糙度对性能和气蚀的影响将通过系统的实验和数值分析来评估。将考虑车削，铣削和涂漆工艺，并从成本和收益方面进行比较。

方法：数值模拟，实验分析

直列泵的多组分优化

该研究的目的是进行深入研究，涵盖多个角度，并对直联泵进行多目标优化，以获得能够提高0.5 Qd，1.0 Qd和1.5 Qd效率的最佳设计。

方法：启发式算法，数值模拟，实验分析

泵喷射推进

该研究的重点是对水下航行器采用的泵射流的优化

方法: 数值模拟、实验分析

轴流泵作为上游波浪下的涡轮机

本研究的目的是使用 Omega 涡流识别技术捕获涡流的形态，并研究上游波与 PAT 系统内属性演化之间的关系。

方法：数值模拟，实验分析

抽水装置的优化

该项目包括叶轮进口流型对抽水机性能的影响机制，变速和变角调节时的瞬态特性，抽水机性能的压力脉动特性

方法：数值模拟

泵的空化现象

基于流动的可视化和不同工作条件下空化形态的识别，空化流场的演变规律和三维结构在几何和功能参数的基础上被定义。 对影响扩散和空化状态的控制因素的识别，将有可能确定一种优化叶轮和导叶等关键部件的水力模型的方法。

方法：数值模拟，实验分析

泵作为涡轮机的启停瞬态过渡过程

本研究的目的是利用FFT、小波和Omega涡流识别技术捕捉部分负荷、关闭过程和PAT（泵作为涡轮机）失控过渡时的涡流形态和非稳态性。

方法：数值模拟

Design optimization of pump-turbine to improve the stable working range in both the operating modes

Improvement in the Pump-Turbine Stability

Improvement in the Pump-Turbine Stability of S-Shaped Characteristics by Optimum design and using so-called misaligned guide vanes (MGVs) technique.

Methods: Numerical Simulation, 3D Visualization, PIV, Experimental Analyses

Life Cycle Assessment

The Life Cycle Assessment (LCA) is nowadays one of the most accredited assessment method for the quantification of damage along the whole life of the processes or activities and its outcomes can be correlated to the impacts on human health, on the quality of ecosystems and on the consumption of natural resources. By means of this approach, the TES group members study different processes, with a particular focus on those related to the energy conversion (for example, electric energy production from PV, wind turbines, or biomass; energy storage devices). The SimaPro software is used to perform LCA analysis (SimaPro is a registered trademark of PRé Consultants).

Photovoltaic Module Cooling Systems

Photovoltaic (PV) cells are sensitive to temperature variations due to changes in the ambient conditions: temperature, wind and solar irradiance intensity. Specifically, an increase of the PV cells operating temperature leads to an almost linear reduction of their performance. To overcome this issue, TES group members have developed a low-cost cooling system. The feasibility of the proposal has been numerically evaluated by means of a “in-house” mathematical model developed in Matlab Environment. Then, the real performance of the proposed system are evaluated experimentally investigated using the developed facility installed on TES Lab.

Power Plant Dynamic Modelling

In the current energy scenario, electricity is produced by a mix of fossil fuel power units and renewable energy power plants. After the deregulation of the energy markets and the large penetration of renewables, fossil fuel units need to be managed in a flexible way to compensate the power fluctuation related to the unpredictability of renewable energy plants like wind and solar. This means fossil fuel power plants able to start-up, shut down or change the load in a couple of minutes or even seconds. Obviously, strong load changes require, on the one hand, high ramp rates and, on the other hand, produce thermal and mechanical stresses which reduce devices’ lifespan. To detect the most stressed components and compute their life reduction, the most powerful instrument is the DYNAMIC ANALYSIS. In TES group, fossil fuel units and renewables power plants are modelled in OPEN MODELICA Language with the aim of testing start-up/shut down procedures and maximum tolerable ramp rates. Using simulation results, the life reduction of the most stressed component is computed using an “in house” procedure called “LifeTime Estimation Procedure” (LTE). Using the LTE procedure, it is possible to develop new and more reliable management strategies characterised by power plant components reduce lifetime reduction.

Design Optimisation, Part-load Behaviour and Dynamic Performance Prediction of Waste Heat Recovery Units

Waste Heat Recovery Units like Organic Rankine Cycles, Air Bottoming Cycles, Steam Rankine Cycles, etc. are powerful cycles able to increase the energy efficiency of industrial processes. In TES group, two “in-house” codes have been developed to design these types of units using Matlab Environment. Based on the Optimisation results, the most performing fluids and plant configurations are tested in ASPEN and DYMOLA Environments to predict part-load and dynamic performance. The best configuration is then analysed from an economic and an exergetic point of view.