• Experimental Investigation on Prototype Latent Heat Thermal Battery Charging and Discharging Function Integrated with Solar Collector
  • Abstract This paper reports the performance investigation of a newly developed Latent Heat Thermal Battery (LHTB) integrated with a solar collector as the main source of heat. The LHTB is a new solution in the field of thermal storage and developed based on the battery concept in terms of recharge ability, portability and usability as a standalone device. It is fabricated based on the thermal battery storage concept and consists of a plate-fin and tube heat exchanger located inside the battery casing and paraffin wax which is used as a latent heat storage material. Solar thermal energy is absorbed by solar… More
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  • An Advanced Control Strategy for Dual-Actuator Driving System in Full-Scale Fatigue Test of Wind Turbine Blades
  • Abstract A new dual-actuator fatigue loading system of wind turbine blades was designed. Compared with the traditional pendulum loading mode, the masses in this system only moved linearly along the loading direction to increase the exciting force. However, the two actuators and the blade constituted a complicated non-linear energy transferring system, which led to the non-synchronization of actuators. On-site test results showed that the virtual spindle synchronous strategy commonly used in synchronous control was undesirable and caused the instability of the blade’s amplitude eventually. A cross-coupled control strategy based on the active disturbance rejection algorithm was proposed. Firstly, a control system… More
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  • Performance Analysis of a Rooftop Hybrid Connected Solar PV System
  • Abstract In the present work, a 5-kW hybrid PV solar system was installed on the roof of a house in Diyala, Iraq (33.77° N, 45.14° E elevation 44 m). The system consists of two strings, where each string consists of nine polycrystalline PV modules with 355 Wp in series, and the two strings are in parallel. The energy storage system (ESS) consists of two parallel strings, each with four 12 V and 150 Ah tubular deep cycle batteries in series. A hybrid inverter of 5 kW rated power was operated in different modes. The results showed that May’s monthly energy consumption was about 822.9… More
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  • Soot Distribution and Thermal Regeneration of Marine Diesel Particulate Filter
  • Abstract Diesel particulate filter (DPF) is a leading technology reducing particle emissions from marine diesel engines. The removal or regeneration of soot in DPF is an important issue. The purpose of this study is to provide some reference strategies to design the DPF for marine diesel engines. In this paper, a mathematical model of a marine DPF was built up and the particle trap process and the regeneration dynamics were simulated. The results show that the cake soot mass concentrations from 0 to 4.2 g/L during the trap process increase linearly with the increase of the exhaust gas flows while the… More
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  • Case Analysis of a Pump-Driven Heat Pipe Heat Recovery Ventilator in an Existing Experiment Building
  • Abstract The building energy consumption is an important part among the total society energy consumption, in which the energy consumption for air conditioning occupies almost 70%. The energy consumption of the air conditioning system for fresh air handling can be saved effectively when the exhaust air energy could be recovered to preheat or precool the fresh air. Considering the install locations requirements on field, the pump-driven heat pipes (PHP) were developed as heat recovery ventilators (HRVs) and used in an existing experiment building in Beijing Urban. The thermal performance of the PHP HRVs was tested in real operation time periods under… More
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  • Short-Term Prediction of Photovoltaic Power Based on Fusion Device Feature-Transfer
  • Abstract To attain the goal of carbon peaking and carbon neutralization, the inevitable choice is the open sharing of power data and connection to the grid of high-permeability renewable energy. However, this approach is hindered by the lack of training data for predicting new grid-connected PV power stations. To overcome this problem, this work uses open and shared power data as input for a short-term PV-power-prediction model based on feature transfer learning to facilitate the generalization of the PV-power-prediction model to multiple PV-power stations. The proposed model integrates a structure model, heat-dissipation conditions, and the loss coefficients of PV modules. Clear-Sky… More
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