Abstract

The application of the WT, BSS and MT in the utility grid requires a new algorithm for proper management of a MG system. The proposed MG system is designed with a model to supply the thermal and electrical energy through a grid-connected power system and to evaluate the techno-economic impacts of RETs in a power system. In this study, a new methodology for optimal operation of a CHP is considered based on the stochastic characteristics of wind resources, thermal and power demands. The model is developed owing to hourly energy supply that can satisfy the electrical and thermal requirements with minimum ATC. The WT is utilized in conjunction with HOMER application software to evaluate the economic benefits of RETs. The results obtained from the investigation show that the utilization of a grid-connected MG CHP minimizes the ATC of the power system.

Abstract

The intelligent energy system supports the structure of the energy mix that can effectively improve the reliability and autonomy of any given electrical system. This paper assesses an optimal control that monitors in real-time the energy demand with the integration of photovoltaic (PV) system combined with an energy storage system (ESS) connected to the grid. The designed model uses the model predictive control (MPC) framework to create closed-loop behavior. This is based on the demand response strategy by using realtime electricity pricing schemes. The closed-loop model behavior consists of limiting the control horizon (CH) to be less than the predicted horizon (PH). This strategy is implemented through the design structure of the performance index. It observed that the optimal results are influenced by selecting a value of CH that is about half less than PH in which the system behavior of the energy supply must follow a given target of the consumers. It is also found that the proposed strategy is intelligently robust to manage the energy system and brings satisfaction to different stakeholders optimally.

Abstract

The conventional methods for methane gasrecovery from hydrate sediments require highinvestment but with low gas production efficiency andmay cause potential environment and securityproblems. But the novel natural gas hydrateexploitation method by CO2/H2 replacement couplingmethane reforming can improve the replacement effectand reduce the cost of gas separation. However, energyconsumption and energy performance have not beeninvestigated thoroughly. This work develops a detailedprocess simulation model and conducts an exergyanalysis for producing hydrogen from the integratednatural hydrate gas exploitation with methanereforming via two different boundaries. Results showthat the exergy ratio of the integrated process is 2.06,exergy efficiency of the hydrogen production process is72.40 %, but exergy efficiency of the integrated processis much lower, which is 26.59 %.

Abstract

This study proposes a power quality analysis based on the frequency response of an isolated industrial hybrid power plant. The power system and its control strategy are modelled using MATLAB/SIMULINK and simulated using high resolution irradiance data. The results are used to validate a power quality criterion designed to size a hybrid PV-genset power plant. Finally, an economic analysis shows that neglecting the power quality issues at the sizing stage, it may lead to misjudging the plant’s performance.

Abstract

This work presents a multi-objective optimization based design method for battery/ultracapacitor hybrid energy storage systems used in electric vehicles. Long life mileage and low normalized cost are our optimization objectives. Firstly, the degradation model of lithium-ion battery and a rule based power splitting strategy are introduced. Then the multi-objective optimization is formulated to solve the optimal size and control parameters simultaneously. Finally, the solutions from the Pareto front are compared with the battery only system. The results show that the proposed design method can significantly reduce the battery’s degradation, with a whole life mileage increased by over 26%. Meanwhile, the recommended size of the hybrid energy storage system brings a normalized cost increase by 29.1%.

Abstract

Battery Is the Bottleneck Technology of Electric Vehicles (Evs), Which Has Complex and Hardly Observable Inside Chemical Reactions. to Reduce the Training Data Volume Requirement in Artificial Intelligent Algorithm Based Battery Model, This Paper Presents a Deep Transfer Learning Algorithm Based Battery Modeling Method. the Deep Belief Network – Extreme Learning Machine (Dbnelm) Algorithm Is Used for Battery Modeling Issue in This Paper to Excavate the Hidden Features in Battery Data Set and Improve the Accuracy and Stability. the Results Show That the Proposed Transfer Learning Algorithm Based Battery Modeling Method Is Able to Achieve a Highly Accurate Simulation for Battery Dynamic Characteristics Under an Insufficient Data Set, and the Mean Absolute Percentage Error of the Established Model Is Within 3%.

Abstract

In this paper, gas-solid heat transfer in waste heat recovery device with different pipeline arrangements is studied. The pipeline can enhance heat transfer in waste heat recovery device, and the system with pipeline has higher outlet gas temperature. Compared with paralleled arrangement, temperature distribution of staggered arrangement is more uniform and heat transfer is better. It addition, the decrease of inlet velocity and particle diameter can improve the outlet gas temperature.

Abstract

In direct photoelectrochemical reduction of CO2, ptype semiconductors are usually used as photocathode to supply light-induced electrons to reduce CO2. However, since the band position at the surface of semiconductor is fixed, the overpotential of CO2 reduction reaction at the interface is unchangeable. Therefore, it is impossible to boost the interfacial reaction through increasing interfacial overpotential. A photoelectrochemical cell (PEC) that consists of an ntype photoanode and a metal cathode offers the opportunity to manipulate the cathode overpotential. Furthermore, by applying different pH values for the anolyte and catholyte, the PEC can be self-contained and no bias voltage is needed.

Abstract

Organic Rankine cycle (ORC) coupled with biomass combustion boiler is an appealing and promising technology for small scale combined heat and power (CHP) plants. The aim of this paper is to investigate thermodynamic analysis and economic assessment of biomass-fired ORC CHP system, especially from the perspective of pinch point location. The thermoeconomic model of bioenergy cogeneration system has been developed, in which the pressurized boiler hot water is worked as heat source for ORCs and the condensation heat can be fully utilized to supply domestic hot water. Results show that pinch point location from vaporization start point to preheating start point is observed with increasing boiler hot water temperature or decreasing evaporation temperature in evaporator. The pinch point location has slight influence on thermodynamic performance, while it has significant effect on economic assessment in this bioenergy system. The same optimal boiler hot water temperature with the specific evaporation temperature can be achieved in terms of total investment (INVtot), dynamic payback period (DPP) and profit ratio of investment (PRI).

Abstract

As we all know, depressurization is considered as the most promising method to release natural gas from hydrate reservoirs. In this study, we study methane hydrate dissociation behavior in porous media under different production pressure. The experimental results show that the process of methane hydrate dissociation can be divided into the depressurization stage (DS) and the constant pressure stage (CPS). In DS, the heat required for hydrate dissociation is from the sensible heat of hydrate-bearing sediments. As the production pressure decreases, the total amount of gas production and water production increase. In CPS, the required heat for hydrate dissociation is transferred from surroundings. With the decrease of the production pressure, the rising rate of average temperature in hydrate-bearing sediments increases, and the gas production rate increases.