Storage Equipment Research Articles

Facile Access to Ni/Co-Based Nanoscale Coordination Polymers for the Boosted Electrochemical Performance of Asymmetric Supercapacitors

Nanoscale coordination polymers (nCPs) have obtained significant attention as cutting-edge materials for energy storage equipment. Nevertheless, monometallic nCPs are often challenging in terms of high capacitance, tunable electrochemical activity, and high conductivity. Herein, an available strategy for boosting the electroconductibility and structure stability of Ni-based nCPs is presented by partially substituting Ni2+ with proper level Co2+ stoichiometry. Co2+ has a beneficial effect on the electrochemical behavior of Ni/Co-nCPs. The bimetallic Ni/Co-nCPs with an appropriate ratio of Ni/Co being 4 has a high Cs of 1160.2 F g–1, which is about 1.47-fold that of Ni-nCPs. When Ni/Co-nCPs are applied as the anode in an asymmetric supercapacitor, the device gives rise to an exceptional energy density of 43.7 W h kg–1 at a power density of 594.9 W kg–1 and a remarkable capacitance retention over 7000 cycles. The strategy established in this work paves a pathway for the rational design and facile preparation of bimetallic Ni/Co-nCPs for energy storage devices with boosting electrochemical properties.

Re-layout of the work area using the ergonomic participatory method

Re-layout of work areas is very important to pay attention to in small and large industries. In structuring the work area, it greatly affects the sustainability of a company both in terms of worker health and in terms of company income. The aims of this study is the re-layout of the work area using the participatory ergonomic method. The research method used is an observation method by applying the participatory ergonomic stage. The research was conducted in the CV. Victorina industry from June to August 2022. The results of the research obtained were relayout work areas using participatory ergonomic methods, including conducting interviews and group discussions to obtain problem-solving solutions that were approved by all parties involved in the system. Conclusions from the results of the study obtained the design layout of the work area in accordance with the wishes and constraints experienced by workers, the application of personal protective equipment in work activities, and designing work facilities in the form of workbenches and equipment storage cabinets based on ergonomic participatory, so as to create an efficient, comfortable, safe, healthy, and effective working system and avoid accidents due to work.

Analysis of Optimal Operation of Charging Stations Based on Dynamic Target Tracking of Electric Vehicles

In view of the large impact of traditional charging stations on the power grid and the investment in the construction of charging stations for electric vehicle infrastructure services, this paper considers the configuration of optical storage equipment in charging stations from a practical point of view and proposes an economic operation strategy for charging stations to meet the economically optimal requirements of different scenarios. First, we analyze the behavioral characteristics of multiple types of electric vehicles, consider the influence of charging queues, and establish a daily load model of charging stations by taking into account the daily monitoring load and nighttime lighting load of charging stations. Then, considering the electric vehicle (EV) charging demand, photovoltaic (PV) output and energy storage charging and discharging power, the daily economic optimal operation problem based on the dynamic target tracking of charging stations is established; the objective is to maximize the daily operating revenue of charging stations under the condition of satisfying the EV charging demand and PV consumption. Secondly, the objective function is linearized, and the economic operation model is transformed into a mixed integer linear programming model for solving, and the simulation is verified under different scenarios. The results show that the economic optimal operation strategy can adapt to the economic operation requirements of charging stations in different scenarios and maximize the charging station revenue.

Study on optimization method of rural integrated energy system including renewable energy

Due to the implementation of the rural revitalization strategy, the urbanization process in rural areas has been accelerated in China, as the economy has grown more rapidly and energy consumption has increased. Rural power infrastructure, however, remains inadequate and the rural power grid is relatively weak, which further exacerbates the contradiction between rural energy supply and demand. To solve these problems and achieve sustainable development, renewable energy sources should be utilized for energy supply in rural areas to reduce the demand for power from rural grids. Using this idea, this paper proposes an optimization method for an integrated energy system for rural areas that includes renewable energy sources. Firstly, a model of the output of equipment such as wind and solar biogas, as well as the model of energy storage equipment, is constructed. A portion of flexible load is considered when estimating energy consumption on the demand side. A day-ahead optimization model for rural energy systems is designed to minimize costs, which allows different energy sources to play complementary roles under the constraints of power balance, output limits, etc. The approach proposed in this paper may provide a comprehensive solution for optimizing the operation of an integrated rural energy system by improving its energy efficiency and maximizing its use of renewable energy resources. Furthermore, the article also provides specific examples of the feasibility of the method.

A new multi-stage coordinated power system planning method considering renewable energy access

When renewable energy is connected to the new power system, it will affect the normal operation of some energy storage equipment, resulting in too small internal generation capacity of the new power system and insufficient capacity of the new power system. Therefore, based on the consideration of renewable energy access, a new multi-stage coordinated planning method for power system is studied. This paper analyzes the demand for peak shaving capacity of the new power system and determines the access point of renewable energy. a new multi-stage coordinated planning model of power system is built, and the method of multi-stage coordinated planning of power system is studied by solving the model. Set up the experimental environment, give the parameters of the experimental equipment, and design the comparative experiment. The results show that the coordinated planning method studied in this paper can help to reduce the operation cost of the new power system and ensure the economic benefits of the new power system.

Study on the optimal allocation of comprehensive energy in the park

According to the demand response mode of the user side, this paper divides the flexible load into translational, reducible and transferable loads, briefly analyzes and introduces the operation characteristics of the three loads, and constructs the park comprehensive energy source system including wind power generation, photovoltaic, gas turbine and gas boiler. Considering the system investment cost, operation cost, fuel cost and compensation cost, this paper constructs the optimal allocation model of electric heating system in the park with the optimal total cost, and optimizes it through YALMIP in MATLAB. The final results show that the participation of flexible load and electric heating energy storage can not only effectively reduce the initial investment cost and total system cost in the early stage of the park, but also reasonably adjust the load curve, the optimal output point of energy storage equipment is obtained to determine the capacity of energy storage equipment.

A smoothing strategy for hybrid storage based on EEMD and two-level fuzzy control

Wind power has the characteristics of randomness and intermittence. A smoothing control theory for hybrid Energy storage equipment (HESS) using Ensemble Empirical Mode Decomposition (EEMD) to allot power and two-level fuzzy control theory to adjust the power of the Energy storage equipment is proposed. EEMD can decompose wind power, the battery is used to weaken the long-term power fluctuation, and the super capacitor is used to weaken the short-term power fluctuation. Using HESS can improve the service life of Energy storage equipment.

Review of Key Technologies of mobile energy storage vehicle participating in distribution network dispatching under the high proportion of renewable energy access

With modern society’s increasing reliance on electric energy, rapid growth in demand for electricity, and the increasingly high requirements for power supply quality, sudden power outages are bound to cause damage to people’s regular order of life and the normal functioning of society. Currently, the commonly used emergency power protection equipment is mainly based on diesel generator sets, while there is also flywheel energy storage equipment in the application of emergency power protection. In today’s society, we strongly advocate green, energy-saving, and emission reduction background, and the demand for new mobile power supply systems becomes very urgent. Mobile energy storage vehicles can not only charge and discharge, but they can also facilitate more proactive distribution network planning and dispatching by moving around. The basic model and typical application scenarios of a mobile power supply system with battery energy storage as the platform are introduced, and the input process and key technologies of mobile energy storage devices under different operation modes are elaborated to provide strong support for further input and reasonable dispatch of mobile energy storage vehicles.

Bi-level sizing optimization of a distributed solar hybrid CCHP system considering economic, energy, and environmental objectives

In this paper, a distributed solar hybrid combined cooling, heating, and power (CCHP) system is constructed by installing photovoltaic/thermal (PV/T) panels in the CCHP (PV/T-CCHP) system. A bi-level optimization model is established to obtain the optimal sizing of the equipment in the PV/T-CCHP. The upper-level optimization model is formulated as a multi-objective optimization problem, which considers the economic, energy, and environmental performance of the PV/T-CCHP system compared with the conventional separated production system. The equipment sizing results obtained by the upper-level optimization model can achieve the trading off in terms of cost, primary energy consumption, and carbon emission reduction. The lower-level optimization model, which is formulated as a mixed-integer linear programming, determines the operating strategy of the PV/T-CCHP system. Non-dominated sorting genetic algorithm-II is employed to solve the upper-level optimization model. The final optimal sizing results are obtained from the Pareto solution set leveraging fuzzy decision theory. The optimal sizing results demonstrate that PV/T-CCHP saves 5.82% in annual total cost, 22.63% in annual primary energy, and 37.51% in annual carbon emissions reduction, which verifies the effectiveness of the proposed optimization model. In addition, the impacts of solar energy and energy storage equipment on the system performance are quantitatively evaluated.

Information Technology Risk Analysis and Mitigation Using ISO 31000 and House of Risk (HOR) for SIAK in Western Seram Regency

SIAK stands for population administration information system. It is a computerized system that was established according to administrative service regulations to organize the population administration system in Indonesia, more precisely in the Western Seram Regency. Given the critical function of this application in aiding in identifying regional demographic statistics, it is vital to examine potential dangers while also identifying mitigation measures that may be performed to avoid them. ISO 31000 was utilized in the study to map potential hazards for subsequent reduction using the House of Risk (HOR) methodology. According to the findings of this research, there is one danger that falls into the high category, namely the unstable network. Additionally, based on the results of risk mitigation identification, two mitigation steps are identified that can mitigate 60% of existing risks, namely the construction particular resistant to natural disasters for critical equipment storage and collaboration with internet providers to ensure stable internet and network connections.

International Specialized Exhibition of Internal Logistics LogiMAT 2022 in Germany

International exhibition of internal logistics was held in Stuttgart (Germany) after a two-year break due to COVID-19 pandemic. The exhibition was a representative review of innovations in logistics and identified future developmental trends for this most important sphere of economics. Digitalization and automation dominated the exhibition with participation of about 1,500 companies. Exhibits reflecting the digitalization of logistic supply networks attracted the greatest interest in the section of digitalization and new information technologies. The displayed software products ensure high-level digitalization of supply chains. New transportation and storage systems and new technologies for picking orders were put on display at the exhibition. New types of hoisting & handling and storage equipment were widely exhibited, for example, electric fork lift trucks, stacker cranes, grabbing devices, etc.

A cascade energy cycle based on solid oxide fuel cell with electric energy storage option

ABSTRACT Recently, solid oxide fuel cells (SOFCs) have been known as a popular technology due to their versatility in fuel intake, carbon-free process, and scalability in various applications. Besides that, the utilization of their exhaust heat in cascade cycles improves the process behavior by increasing the energy production rate. From the literature, gas turbines (GTs) are typically utilized as the downstream cycle of SOFCs. However, thermionic generators (TIGs) can be integrated with SOFCs in order to utilization the released heat to produce more electric power. TIGs can be more reliable and stable compared to GTs. Moreover, TIG’s environmental pollution is significantly lower than GTs. On the other hand, thermoelectric generators (TEGs) are devices that require lower grade heat compared to TIGs. In this study, a conceptual-evaluation study of a SOFC-based cascade cycle integrated with TIG and TEG is presented and discussed under the effective parameters. The introduced cascade system is able to produce electric power to meet consumer demand. In this regard, by using SOFC, the chemical energy of hydrogen is converted into electric power and excess heat under electrochemical reactions. By directing waste heat first to TIG and then to TEG, more electric power is yielded during two processes. Further, when the consumer does not need electricity, electric energy is stored by the hybrid pumped hydro and compressed air system (PHCAS) for later utilization. Therefore, the energy structure introduced in the current article suggests a new arrangement and configuration for electrical energy generation and storage. The outcomes of simulation revealed that the considered structure can produce nearly 3.9 kWh of electric energy per day. The energy efficiency of the system in such a context is almost 69.6%. Moreover, 16.12 moles of hydrogen gas (as fuel of SOFC) are required per hour. Additionally, PHCAS with a volume of nearly 2.98 m3 is required to store electrical energy. Also, improving the storage performance depends on the use of efficient storage equipment and setting the initial pressure in values close to the peak point.

Electrical-Conductive/Insulating Bi-Functional Layers for Stable Zn Metal Anode.

Zinc-ion batteries are regarded as an extremely promising candidate for large-scale energy storage equipment due to the inexpensive ingredients and high safety. However, dendrite growth and side reactions occur in the Zn anode, which lead to exceedingly low coulombic efficiency (CE) and poor cycling stability. In this work, we propose a strategy of a conductive/insulating bi-functional coating layer (CIBL) for stable Zn metal anodes. Porous Ag nanowires (NWs) coating as a conductive layer effectively reduces the nuclear barrier and contains Zn2+ deposition in a certain space. Polyimide (PI) coatings as insulating layer implement a shunting effect on Zn2+ , which could reduce the differential concentration on the Zn surface and induce uniform deposition of Zn2+ . Therefore, the CIBL-Zn//CIBL-Zn battery achieves stable plating/stripping of over 1300 h at 1 mA cm-2 . The CE of CIBL-Zn//CIBL-Zn battery maintains at 99.2 % even after 1000 cycles. Moreover, the CIBL-Zn//V2 O5 battery exhibits a capacity of nearly 289.2 mA h g-1 at 5 A g-1 after 3000 cycles and no sign of capacity degradation is found, which further demonstrate the feasibility of this strategy in practical application.

Integrated optimization of a regional integrated energy system with thermal energy storage considering both resilience and reliability

The regional integrated energy system (RIES) is widely adopted from the viewpoints of energy saving, emissions reduction and resilience enhancement. Especially, in case of external energy supply interruption caused by extreme events, a RIES can survive and ensure energy supply by multi-energy coupling and reserve capacity. Moreover, the resilience and reliability of a RIES can be further enhanced by employing energy storage equipment. In this study, an integrated optimization framework has been proposed for a RIES including thermal energy storage accounting for both resilience and reliability. Firstly, a rolling optimization model is developed to calculate the minimum capacity of backup thermal energy storage at each time. Following which, the day-ahead economic scheduling is carried out based on the constraint of backup energy. The Monte Carlo method based on the Markov process is used to simulate the system reliability. The reliability model can also reflect the increase of operation costs caused by backup thermal energy. As an illustrative example, a regional energy system located in Shanghai, China has been selected for analysis. According to the simulation results, the backup thermal energy storage improves both resilience and reliability of the RIES system, and ensures the load supply in case of external energy interruption or equipment failure. There are nine load-shedding periods with improved energy satisfaction rate under external energy interruptions in summer and five in winter. Furthermore, under 10,000 days of operation simulation, the supply interruptions due to equipment failure decrease from 47 to 15 in summer and 22 to 4 in winter.

ADAPTABILITY OF APPLE VARIETES TO FUNGAL DISEASES AND PHYSIOLOGICAL DISORDERS, DEPENDING ON THE STORAGE TECHNOLOGY APPLIED

A special feature of apple fruits is that they can be kept for a longer period of time. However, during storage, the fruits are affected by certain diseases, which can cause considerable losses. As a result of research, it has been established that the technology used is one of the main factors in the storage period, able to regulate the intensity of ripening senescence processes in apple fruits, and as a result their degree of resistance to fungal diseases and physiological disorders. Fitomag has had a significant influence not only on the fruit ripening process, but also on the quality and resistance to fungal diseases and physiological disorders. The investigated fruits had an attractive appearance, high firmness, juiciness and a more pleasant taste, compared to the control fruits. The storage technology by post-harvest application of Fitomag can compete with that of storage under controlled atmosphere (AC) conditions, the advantages of the researched preparation being: simplicity in application, low electricity consumption during storage and minimal equipment investments.

ZIF-derived twisted wedge-shaped CoS2/NC nanoporous architectures pinned to graphene foam as negative electrode for lithium and sodium-ion batteries

• A novel wedge-shaped CoS 2 /NC@NPG nanoporous structure is developed. • The waved wrinkles on porous carbon framework facilitate ion transmission. • ZIF-L and N -doped porous graphene construct 3D conductive network. • The composite exhibits remarkable rate performance for LIBs/SIBs. To explore more efficient ways to deal with deteriorating environmental problems, lithium-ion and sodium-ion batteries are expected to serve as advanced energy storage equipment for green energy. Herein, ZIF-L derived CoS 2 with N‑doped porous carbon framework carried by three-dimensional (3D) N -doped porous graphene (CoS 2 /NC@NPG) is prepared by a facile method in deionized water, followed by carbonization and vulcanization. The composite delivers remarkable rate performance as negative electrode for lithium-ion batteries (527 mAh/g at 10 A/g) and sodium-ion batteries (386 mAh/g at 10 A/g). The excellent performance is mainly ascribed to the abundant wrinkles with active sites on the rough surface of twisted wedge-shaped carbon frame, which is related with excellent rate capability. The porous carbon framework derived from ZIF-L and NPG supporter provides fast ion channels and improved conductivity. The carbon coating where CoS 2 uniformly distributed in can accommodate the volume expansion during the cycling, thereby boosting the capacity storage and cyclic stability. This work would provide an efficient and concise approach for designing three-dimensional porous structure and self-supporting complex combining transition metal sulfides and carbon matrix for serving as advanced energy storage material.

Energy scheduling optimization of the integrated energy system with ground source heat pumps

As a kind of clean heating and cooling equipment with high energy efficiency ratio , ground source heat pump (GSHP) has been widely used in the integrated energy system (IES). However, the output of different types of power by GSHP in different seasons will cause seasonal scheduling problems. Therefore, this study constructs a seasonal differential scheduling model of IES with surface-water GSHP and ground-water GSHP. In addition, the bald eagle search algorithm (BES) is improved to solve the daily scheduling optimization problem of IES on typical days in summer, transition season and winter, for the IES to formulate different energy supply scheduling strategies in different seasons. Firstly, the power supply, heating and cooling equipment are modeled, considering the capacity characteristics of GSHPs. Meanwhile, the energy scheduling strategies of IES in summer, transition season and winter are constructed. Secondly, this study uses Hammersley low-disparity sequence to improve the initial population, adds the comparative analysis stage of search space and hunting position, and introduces the differential mutation population to jump out of the local solution to improve the BES algorithm. Thirdly, the improved bald eagle search algorithm (IBES) is used to solve the typical daily energy scheduling problem of IES with surface-water GSHP and ground-water GSHP in different seasons, taking into account the equality constraints of energy balance and the inequality constraints of normal operation of equipment. Finally, the effectiveness of IBES algorithm in solving seasonal differential scheduling model is verified by the measured data of IES. The optimization results show that the comprehensive economic cost of the IES solved by IBES algorithm is 0.01%, 0.06% and 0.03% lower than that of BES algorithm in summer, transition season and winter, and the comprehensive economic cost of the IES with surface-water GSHP and ground-water GSHP is 7.23% lower than that of the IES without GSHPs. The results of this study are helpful to improve the utilization efficiency of GSHPs in IES and the economy of the IES. • The seasonal difference model of the IES is proposed to optimize the comprehensive cost of the system. • The energy supply strategy of new energy and the application strategy of energy storage equipment are improved. • The methods improve the BES algorithm. • The results show that installing GSHPs in the IES saves system cost.

Joint tank container demurrage policy and flow optimisation using a progressive hedging algorithm with expanded time-space network

A key feature of the tank container (TC) operating industry is that customers overhold TCs to provide temporary storage equipment for their contents rather than provide their own storage facilities. TC operators charge a very profitable fee (demurrage charge) for this service making it an attractive business proposition, but it can be detrimental to holistic network flows and fleet sizing. This paper addresses the problem of jointly optimising TC demurrage policy and TC flow, in the face of uncertain TC maintenance times, to maximise profits. A progressive hedging algorithm with expanded time-space network (PHA-ETSN) is designed to tackle this tactical level optimisation problem as other established techniques struggle with this optimisation in terms of computational time and memory requirements. Experiments are performed to illustrate how the optimisation tool can be used to investigate how demurrage policy affects different operational costs and TC hire revenue and thereby profit. These experiments demonstrate how the optimisation tool can be used by managers not only to optimise demurrage policy but also to explore and to understand more deeply the costs and profits in their operations.

P19-13 Levels of fine and ultrafine particles in firefighters’ personal protective equipment storage rooms

P19-13 Levels of fine and ultrafine particles in firefighters’ personal protective equipment storage rooms

Improving the cycling stability of biochar electrodes by purification via ion exchange

Excellent long-term cycling stability and safety are the basic qualities of electrode materials in electrochemical energy storage equipment. Nevertheless, the inferior cycling stability and device safety caused by impurity ions constrain their practical application. Thus, it is essential to purify biomass-based carbon materials when they are used as electrodes in the field of energy storage. Herein, four purification methods are studied, including water-washing, acid-pickling, ion exchange and ultrasonic wave, respectively. Particularly, trace elements are detected by inductive coupled plasma emission spectrometer and ion chromatography to explore the impurity removal effects. The results suggest that ion exchange possesses the best impurity-cleaning effect among the four methods. In addition, the supercapacitor employing the biochar electrode material with minimum impurities exhibits excellent ultra-long cycling stability. In symmetric supercapacitors, the capacitance retentions are 86.7% after 120000 cycles using 6 M KOH electrolyte and 70% after 30000 cycles using 1 M MeEt3NBF4/PC electrolyte at 4 A/g. Furthermore, we reveal the influence mechanism of metal ion impurities on cycling stability and impedance. In summary, the elaborate study provides a feasible method to solve the problem of impurity removal and designs suitable biomass carbon materials for commercial application in the energy storage field.