A LoRa-based safety monitoring system for hydrogen compressed natural gas (HCNG)Wang, Wenbo; Niu, Pingjuan
doi: 10.1088/1742-6596/2826/1/012001pmid: N/A
Hydrogen compressed with natural gas pipeline for gas mixture delivery is an effective way to realize large-scale, low-cost delivery of hydrogen. The Internet of Things (IoT) technology is one of the important supporting technologies for smart energy transformation, and the low power wide area network (LPWAN) represented by LoRa will play a key role. In this paper, a LoRa-based hydrogen compressed natural gas safety monitoring system is designed, which can collect, transmit, and analyze multiple types of data, such as ambient temperature and humidity, gas concentration, pipeline and equipment vibration, etc., and store the data and configure the alarm thresholds through the cloud server, and finally complete the real-time safety monitoring in the application layer. The system is characterized by high efficiency, high precision, low power consumption, and intelligence, which will have a positive effect on the safe transportation of hydrogen.
Simulation of synergistic trading in medium- and long-term power and carbon markets based on a multiagent model and reinforcement learning algorithmWang, Yiqi; Yang, Yang; Ji, Junping; Huang, Qisheng; He, Daojing
doi: 10.1088/1742-6596/2826/1/012003pmid: N/A
This paper simulates the transactions of thermal power plants participating in medium- and long-term power markets and carbon markets simultaneously. The bidding adjustment function in bilateral contracts can realistically reflect the adjustment of participants’ bids and ask prices. This paper introduces the carbon assets management module to improve the flexibility of transactions. The thermal power plants’ bidding strategies affect the market clearing prices in the centralized trading markets, which in turn will affect their profits. We implement a reinforcement learning algorithm to investigate the bidding adjustment of thermal power plants in central bidding markets. The simulation results show that an increase in the carbon quota auction ratio can increase the prices of electricity and carbon quotas. Our simulations also reveal that excessive emission penalties and carbon incentive mechanisms can decrease the total carbon emissions of the thermal power industry, which is beneficial for the green power transition.
Study on the synthesis of nanoparticles and their power characteristics in a bubble liquid membrane reactorZhang, Xin; Li, Chunlei; Yang, Zhuo; Qiao, Mian; Gong, Yuan
doi: 10.1088/1742-6596/2826/1/012017pmid: N/A
A bubble liquid film reactor is a new type of reactor used for preparing nanoparticles, which has strong inflation ability and dispersion, homogenization, and emulsification effects, especially suitable for preparing loose nanoparticles. In the actual production of enterprises, there is an urgent need to expand production capacity and scale up the reactor. Due to the lack of power characteristic data during the reaction process, it is difficult to select the motor, resulting in unnecessary energy and cost waste. Therefore, the power characteristic data of bubble liquid film reactors urgently needs to be studied. This article investigates the influence of operating conditions such as bubble cap diameter and immersion depth on stirring power and obtains the power characteristics during the operation of a bubble liquid film reactor. The results indicate that the larger the diameter of the bubble cap disk, the stronger the power consumption, but the smaller the power input capacity. The deeper the immersion depth, the higher the power consumption and the stronger the power input capability. Finally, fitting the dimensionless power standard formula provides a mathematical model for reactor amplification, providing theoretical guidance for enterprises to expand production lines and increase production capacity, and providing data support for motor selection.
Energy management strategy of dual-layer fuzzy control for fuel cell mining trucksWang, Bo; Tian, Shaopeng; Wang, Cheng
doi: 10.1088/1742-6596/2826/1/012018pmid: N/A
Taking fuel cell mining trucks as the research object, a dual-layer fuzzy control strategy is put forward to handle the problem of the battery being easily overcharged or over-discharged on uphill and downhill roads. The primary layer of the fuzzy control strategy is used to manage the power of the fuel cell and battery. Then, the secondary one is used to limit SOC fluctuations and prevent battery overcharge and over-discharge. Meanwhile, in order to reduce the equivalent hydrogen consumption, Grey Wolf Optimizer is introduced to optimize the fuzzy membership function. Through simulation results, it’s found that when the SOC initial value is 0.3 or 0.7, this strategy can effectively mitigate the SOC fluctuation amplitude, and the SOC is closer to the target. Meanwhile, the equivalent hydrogen consumption of the optimized control strategy decreases by 2.0% and 4.5%, respectively.
Black-Box Modelling of Active Distribution Network Devices Based on Neural ODEsHu, Ran; Ma, Nan; Li, Bing; Chen, Kun; Chen, Chen; Huang, Zhanhua; Ye, Fengshu; Pan, Chunpeng
doi: 10.1088/1742-6596/2826/1/012029pmid: N/A
The morphological structure and dynamic characteristics of power distribution systems are rapidly evolving due to the widespread application of distributed renewable energy and the rapid advancement of power electronics technology. The stability analysis of these complex new distribution systems depends on electromagnetic transient (EMT) simulation. However, the intellectual property rights protection by manufacturers leads to many distribution network devices that can only use black-box models with missing parameters, which challenges the simulation. This reduces the accuracy of the dynamic analysis of these new distribution systems. To address this problem, this paper proposes a black-box modelling method based on neural Ordinary Differential Equation (ODE) for active distribution equipment. The method uses port measurement data to construct a data-driven model that accurately captures the black-box device characteristics, transforming the uncertainties in the user-side black-box devices into observable, controllable, and analysable models. The paper also builds an IEEE-33 node system that includes the energy storage black-box model for validation, and the results confirm the accuracy of the model.
Design of hundred mw level shared BESSs and “Clean Energy + Energy Storage” joint operation modeLi, Xiangjun; Zhang, Weijun; Dong, Lizhi; Luo, Xingyan; Chen, Dawei; Li, Hanning; Jia, Xuecui; Li, Biao
doi: 10.1088/1742-6596/2826/1/012009pmid: N/A
This paper presents the background of the construction of the Fujian Xiapu shared energy storage power station project. It also establishes the structure of the dispatching energy management system (EMS) for a large-scale Battery Energy Storage System (BESS) based on the energy storage station’s topology. The design and implementation method of the monitoring module for the energy storage power station is introduced, along with the proposition of the joint operation mode of “clean energy + energy storage”. Additionally, the technical requirements and feasibility of this mode are discussed. The shared energy storage operation mode can effectively enhance the energy conversion efficiency of the battery system while significantly reducing costs.
Study on the mechanical properties of micropore organic polymer membranesLiu, Jianxin; Kang, Tingshuo; Yu, Hualong; Li, Xiang; Zhang, Xiaolei; Deng, Xiaoqing
doi: 10.1088/1742-6596/2826/1/012014pmid: N/A
Micropore organic polymer membranes are indispensable for membrane filtration with well-established selectivity and permeability. Pressure-driven conditions in harsh acidic or alkaline environments can influence the mechanical properties of these materials. Diminished mechanical properties may include a shortened membrane lifespan, reduced filtration effectiveness, and increased filtration cost. Understanding of the intricate mechanisms influencing the mechanical properties of organic polymer membranes remains incomplete. In this study, a comprehensive investigation was carried out to characterize the mechanical properties of different membrane materials with similar and varying pore size parameters. The influence of different methods of membrane preparation on the mechanical properties of these materials was also explored. Results showed that the PTFE membranes demonstrated excellent Young’s modulus and tensile strength, while PVDF membranes excelled in elongation at break. Organic filter membranes prepared by the phase transition method exhibited a more structured fiber filament arrangement, a smoother surface, reduced crack formation and extension, and uniform pore size and distribution when compared to materials prepared using the tensile method. The results of this study expanded our understanding of the factors that can influence the mechanical properties of organic filtration membranes.
Performance analysis and optimization of multi-energy complementary combined heat and power system considering the influence of time-of-use priceDing, Zeyu; Chen, Lei; Rong, Shimin; Wang, Huijing; Zhang, Fan; Tian, Shijun
doi: 10.1088/1742-6596/2826/1/012031pmid: N/A
The multi-energy complementary system can meet the increasingly abundant and diversified energy consumption needs of users and, at the same time, help to improve energy utilization efficiency, reduce environmental pollution, and optimize the balance of energy supply and demand. In this paper, a multi-energy complementary cogeneration system with a gas turbine distributed photovoltaic, gas boiler, and heat storage tank is proposed, and the operation scheduling optimization model of the system is constructed. Aiming to minimize the comprehensive cost of economy and carbon emission, the model adopts a linear programming method to optimize the operation scheduling of multi-energy complementary systems. Taking a multi-energy complementary cogeneration system as an example, the key equipment of the system is optimized under three different scenarios with different time-of-use prices, and the influence of time division of time-of-use electricity price on the comprehensive cost of the system is analyzed. The results show that the time division method, which is more in line with the system net load curve, can effectively reduce the comprehensive cost of the complementary system and increase the consumption space of new energy.
Low-carbon optimal scheduling of an integrated electricity, heat-and-gas energy system considering a biomass gas and carbon capture power plantGong, Lei; Huang, Xin; Xiao, Maner
doi: 10.1088/1742-6596/2826/1/012008pmid: N/A
In light of enhancing the extraction level of biomass energy and rectifying the efficiency of integrated energy system (IES) operations in the backdrop of the “ twin carbon” policy, we present an enhanced scheduling methodology for IES incorporating biomass gas and carbon absorption power plants, addressing the constraints of linear carbon trading. Initially, an organizational blueprint for the combined exploitation of biomass-laden gas, electricity-to-gas, and carbon absorption power plants is established. Secondly, we devise a ladder-like configuration of carbon trading mechanisms to counterbalance the inadequacies of standard persistent carbon trading schemes. Subsequently, this advanced form of carbon trading is incorporated into the IES framework and is optimized using the ultimate goal of minimizing system expenditures. Lastly, evaluations across diverse scenarios demonstrate that the proposed sequential carbon trading significantly enhances the economic viability of the system, and the accompanying simulation corroborates the validity of our proposed model.