Layered power scheduling optimization of PV hydrogen production system considering performance attenuation of PEMEL

To analyze the additional cost caused by the performance attenuation of a proton exchange membrane electrolyzer(PEMEL)under the fluctuating input of renewable energy,this study proposes an optimization method for power scheduling in hydrogen production systems under the scenario of photovoltaic(PV)electrolysis of water.First,voltage and performance attenuation models of the PEMEL are proposed,and the degradation cost of the electrolyzer under a fluctuating input is considered.Then,the calculation of the investment and operating costs of the hydrogen production system for a typical day is based on the life cycle cost.Finally,a layered power scheduling optimization method is proposed to reasonably distribute the power of the electrolyzer and energy storage system in a hydrogen production system.In the up-layer optimization,the PV power absorbed by the hydrogen production system was optimized using MALTAB+Gurobi.In low-layer optimization,the power allocation between the PEMEL and battery energy storage system(BESS)is optimized using a non-dominated sorting genetic algorithm(NSGA-Ⅱ)combined with the firefly algorithm(FA).A better optimization result,characterized by lower degradation and total costs,was obtained using the method proposed in this study.The improved algorithm can search for a better population and obtain optimization results in fewer iterations.As a calculation example,data from a PV power station in northwest China were used for optimization,and the effectiveness and rationality of the proposed optimization method were verified.

基于人工神经网络的PV/T热电联供系统性能预测

为研究太阳能PV/T热电联供系统的性能和针对太阳能PV/T系统复杂的能量平衡方程,搭建了太阳能PV/T系统试验台,同时建立了基于改进灰狼优化的BP神经网络(back propagation neural network model based on improved grey wolf algorithm,IGWO-BP)预测模型,在晴朗天气下进行试验,并采用该模型对系统电功率以及蓄热水箱内水温进行预测。结果显示,晴朗日系统的电效率8.7%~12.2%、热效率51.7%;预测结果与BP神经网络预测模型、基于粒子群优化的BP神经网络(back propagation neural network based on particle swarm optimization,PSO-BP)预测模型和卷积神经网络(convolutional neural network,CNN)预测模型预测结果进行比较,结果显示IGWO-BP预测模型电效率预测模型的绝对百分比误差(mean absolute percentage error,MAPE)、决定系数(determination coefficient,R^(2))、均方根误差(root mean square error,RMSE)、效率因子(efficient factor,EF)和Pearson相关系数(pearson related coefficient,r)分别为4.5E-05、0.99、0.24、0.99和1.00,在储热罐温度预测中,上述指标分别为8.90E-04、0.98、0.07、0.98、0.99,均优于其他预测模型,IGWO-BP神经网络预测模型具有更好的预测性能。研究结果可为太阳能PV/T热电联供系统性能预测与优化控制提供参考。

Avoiding Sabatier's limitation through pulsed electrocatalysis for enhanced nitrogen oxidation performance

1.Introduction The activation and conversion of the Earth’s abundant inert nitrogen resources into high-value-added products epitomize one of nature’s most critical processes[1-3].Nitric acid(HNO_(3)),as a pivotal industrial raw material,showcases an extensive range of applications and possesses substantial economic value in the production of indispensable chemical compounds[4-6].

太阳能PV/T+相变能与直蒸式水源热泵供热(冷)系统特性分析

为解决河北农村建筑清洁供暖问题和太阳能利用具有不稳定性问题,设计了太阳能PV/T+相变能与直蒸式水源热泵供热(冷)系统进行实验研究。实验结果表明,冬季典型日系统发电量为4.453kWh,制热系数COP平均值3.41;夏季典型日系统发电量为5.945kWh,制冷系数EER平均值3.2;将发电量用于系统运行,制热系数COP为4.22,制冷系数EER为4.19,分别提高了23.75%和30.12%;夏季单纯PV/T太阳能电池发电量5.537kWh,本系统的发电量提高了7.37%。该系统经济效益高,运行稳定,是一种实现河北农村清洁供暖有效途径。

Electro-Optical Model of Soiling Effects on Photovoltaic Panels and Performance Implications

In this paper,a detailed model of a photovoltaic(PV)panel is used to study the accumulation of dust on solar panels.The presence of dust diminishes the incident light intensity penetrating the panel’s cover glass,as it increases the reflection of light by particles.This phenomenon,commonly known as the“soiling effect”,presents a significant challenge to PV systems on a global scale.Two basic models of the equivalent circuits of a solar cell can be found,namely the single-diode model and the two-diode models.The limitation of efficiency data in manufacturers’datasheets has encouraged us to develop an equivalent electrical model that is efficient under dust conditions,integrated with optical transmittance considerations to investigate the soiling effect.The proposed approach is based on the use of experimental current-voltage(I-V)characteristics with simulated data using MATLAB/Simulink.Our research outcomes underscores the feasibility of accurately quantifying the reduction in energy production resulting from soiling by assessing the optical transmittance of accumulated dust on the surface of PV glass.

风冷式PV/T空调系统夜间制冷性能实验研究

提出了一种新型风冷式PV/T(光伏/光热)空调系统,并测试了系统在夏季夜间的制冷性能,研究了室内外空气温度对系统运行性能的影响。系统冷凝器由风冷式冷凝器和PV/T冷凝器串联组成,可以与周围空气进行对流换热,以及与低温天空进行长波辐射换热,在强化制冷效果的同时节约了冷凝器占地面积,为PV/T空调系统的发展提供新思路。实验结果表明,PV/T冷凝器能有效提高系统过冷度,PV/T冷凝器的冷却效果与冷凝温度呈正相关。风冷式PV/T空调系统制冷性能优于风冷式空调,其COP(性能系数)比风冷式空调高8.6%。当室外空气温度由23℃升高到27℃时,系统COP由3.9降低到3.1。当室内空气温度由20℃升高到24℃时,系统COP由3.1升高到3.5。

Impact of environmental governance PPP project on government performance from the perspective of value co-creation

Under the background of public-private cooperation in environmental governance,there are conflicts in the value of governance subjects based on differences in objectives and behavior heterogeneity.From the perspective of value co-creation theory,the questionnaire data and correlation structure measurement linked list are used to investigate the internal mechanism of value co-creation behavior affecting government performance.The results of the study show that value co-creation behavior has a significant positive impact on government performance,and partnership plays a mediating role in value co-creation behavior and government performance.The study reveals that whether value co-creation behavior can affect government performance depends on the partnership among the government,enterprises and the public,and the participants realize the interest demands to form value co-creation behavior,and innovate the realization path to improve government performance.This paper expands the research perspective of the influencing factors of value co-creation behavior,deepens the value cognition of multi-subject behavior,and provides a theoretical reference for environmental governance and improving government performance.

A novel model for cost performance evaluation of pulverized coal injected into blast furnace based on effective calorific value

The combustion process of pulverized coal injected into blast furnace involves a lot of physical and chemical reactions. Based on the combustion behaviors of pulverized coal, the conception of coal effective calorific value representing the actual thermal energy provided for blast furnace was proposed. A cost performance evaluation model of coal injection was built up for the optimal selection of various kinds of coal based on effective calorific value. The model contains two indicators: coal effective calorific value which has eight sub-indicators and coal injection cost which includes four sub-indicators. In addition, the calculation principle and application of cost performance evaluation model in a Chinese large-scale iron and steel company were comprehensively introduced. The evaluation results finally confirm that this novel model is of great significance to the optimal selection of blast furnace pulverized coal.

Analysis of the Performance Indicators of the PV Power System

The energy assessment of the PV power systems is carried out by using different types of performance indicators that benchmark the output of these systems against the PV panel maximum output at hypothetical operation conditions. In this paper, a comparative analysis of six types of performance indicators is conducted and a new performance indicator which considers PV panel slope and orientation is proposed. The proposed indicator is benchmarking the PV system actual output against the maximum output of the same system if it would operate in two axis tracking mode. The proposed performance indicator is used to develop a friendly user calculator of PV system output that can be used by, energy providers and PV system installers to evaluate the output of the PV grid connect network. The advantage of the developed calculator is high-lighted by a case study that estimates energy capacity of different residential rooftop PV systems installed in a residential suburb in Sydney.

Real-Time Performance Assessment of Operating Photovoltaic (PV) Systems

A technology called solar energy is a very promising technique, and is considered as the cleanest and the most abundant renewable resource that is naturally available every day. In this paper, a MATLAB environment has been developed to calculate real-time power incidence on a PV system. It takes into account the time, location, PV tilt, and azimuth angles, and weather conditions to estimate incident power. In this paper, one case study is considered at New York State location. It has been applied to a newly installed 8 kW residential system located in Inwood. The solar panels are made up of silicon HIT (Heterojunction with Intrinsic Thin Layer) cells by Panasonic and solar cell rated at 19%. The result shows that the system is performing at its rated efficiency. The calculations involve the determination of direct, diffused and reflected radiation on the panels taking into account the time of the day, location, PV area, and orientations and weather conditions. The cloudiness index may be estimated based on the weather data and included in the calculations. After performing the irradiance calculations, the output power is estimated based on the rated efficiency at its temperature and compared with the generated output power. The real-time assessment of a PV system performance, during the operational time monitors the health of the PV system. The data obtained by this calculator may accompany production data provided to the consumer by the utility company.

Global Value Chain Embeddedness,Knowledge Spillovers,and Clustered Firms' Innovation Performance

Empirical evidence of the effects of global value chain( GVC) embeddedness on clustered firms' innovation is presented in this paper. The intermediary roles of the two types of knowledge spillover( explicit and implicit) in GVC embeddedness and clustered firms' innovation are considered, and the effects of structure embeddedness,relationship embeddedness,and acknowledgement embeddedness on clustered firms' innovation are examined. Analysis is based on the sample of 134 export-oriented firms from the Shaoxing industrial cluster in Zhejiang province of China. Results show that although GVC embeddedness is associated with high use of external knowledge sources,clustered firms' innovation is promoted indirectly through explicit knowledge spillover. Intrinsic connections exist among the different dimensions of GVC embeddedness,that is,structure embeddedness not only directly improves relationship embeddedness but also indirectly improves acknowledgement embeddedness through relationship embeddedness.

Performance Analysis of a Rooftop Hybrid Connected Solar PV System

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 and 1085 kWh,respectively.The percentage distribution of the DC energy produced was about 1%system energy losses,27.9%was used to charge the ESS,34.3%was used to feed the grid,and the remaining 37.64%was used to share the load.The energy percentage sharing the load was 16.67%from ESS,33.33%from the PV system,and 50%purchased.The average daily reference,array,and final yields were 6.07,4.327,and 3.991 h/day,respectively.The average array and load efficiencies were 12.3%and 92.24%,with the performance ratio at 65.4%.

Performance Evaluation Method of Discipline Construction Members in Colleges and Universities from the Perspective of Value Management

The theory of enterprise value management was applied to the performance evaluation of the discipline construction members in colleges and universities,and a value evaluation model of performance was established.Then,using the analytic hierarchy process(AHP)and quantitative research method,it evaluated the cost of the discipline construction members and the functions realized.Finally,it determined the performance value level and came up with the value optimization recommendations.

风冷式PV/T空调系统日间冷电联产性能实验研究

提出了一种风冷式PV/T空调系统,对系统在夏季日间的冷电联产性能进行了实验测试,分析了环境因素、运行参数等对系统发电和制冷性能的影响。结果表明:光伏板温度随太阳辐照度的升高而升高,光伏板输出电效率随光伏板温度的升高而降低;太阳辐照度、室外温度和室外风速都对系统制冷性能有影响,其中室外温度对制冷量和COP的影响最大,当室外温度从23.6℃升高到32.8℃时,制冷量增大1.6倍,COP降低38.8%。该风冷式PV/T空调系统在夏季日间具有一定的冷电联产性能,可进一步优化以拓展其使用时间和应用范围。

基于PV-GPG模型的科研诚信管理政策文本分析

科研诚信是科技创新的基石,是实施创新驱动发展战略的坚实基础。利用以公共价值为基础的政府绩效治理(PV-GPG)模型和扎根理论的编码技术,分析25个省份公布的29份科研诚信管理政策文件,研究科研诚信管理领域面临的挑战与困境。研究发现,科研诚信管理存在信用修复机制不完善、宣传教育力度薄弱、管理对象细分过度、分级分类评价难等问题,并据此提出相关建议。研究结论有助于深化对科研诚信管理机制的理解,并为科研诚信制度建设与管理提供参考。

Empirical Analysis on Performance Evaluation of A Pharmaceutical Company Based on Economic Value Added

Objective To establish an economic value added(EVA)performance evaluation system to maintain the competitiveness of pharmaceutical company A under the environment of fierce competition in the pharmaceutical industry.Methods An EVA performance evaluation model was established by adjusting the items of EVA performance evaluation index,such as after-tax profits,total invested capital and weighted average cost of capital rate.Results and Conclusion EVA values of pharmaceutical company A from 2014 to 2018 were calculated and compared with the traditional performance evaluation method,it was found that EVA performance evaluation model reflected the real performance of pharmaceutical company A.Therefore,pharmaceutical company A is doing well,but its growth rate is unstable.

Evaluating the Derivative Value of Smart Grid Investment under Dual Carbon Target: A Hybrid Multi-Criteria Decision-Making Analysis

With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant driving effect(derivative value),and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core.Therefore,by analyzing the characterization of the derivative value of smart grid driven by investment,this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 indicators.Then,the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight(AEW),level based weight assessment(LBWA),and measurement alternatives and ranking according to the compromise solution(MARCOS)techniques.The results of case analysis show that for SG investment,the value of sustainable development can better reflect its derivative value,and when smart grid performs poorly in promoting renewable energy consumption,improving primary energy efficiency,and improving its own fault resistance,the driving force of its investment for future sustainable development will decline significantly,making the grid investment lack derivative value.In addition,smart grid investment needs to pay attention to the economy of investment,which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment funds.Finally,compared with three comparison models,the proposed hybrid multi-criteria decision-making(MCDM)model can better improve the decision-making efficiency on the premise of ensuring robustness.

8个紫花苜蓿品种在干热区生产性能和营养价值评价

为了筛选出适宜热带亚热带地区种植的苜蓿优良品种,在干热河谷区元谋,采用方差分析方法和灰色关联度分析方法,对2017年引进的8个紫花苜蓿品种进行生产性能和营养价值研究。结果表明:(1)参试的8个紫花苜蓿,在本区均能安全越冬,正常生长,生育期205~215 d。(2)株高最高的品种为WL525HQ,达到70.20 cm,与维多利亚、德钦、赛迪7号和WL712HQ品种有显著差异(P<0.05)。一级分枝数最高的品种为WL656品种,为27.20枝,WL712HQ和G8品种间有显著差异(P<0.05)。茎叶比最高的品种为WL712HQ品种,为1.10,与德钦和赛迪7号品种间有显著差异(P<0.05)。年均干草产量最高的是赛迪7号紫花苜蓿,显著高于德钦品种(P<0.05),2018年、2019年、2020年和三年的平均产量分别为34217.40 kg/hm^(2)、32527.55 kg/hm^(2)、22024.93 kg/hm^(2)和29589.96 kg/hm^(2),所有参试材料在2018年和2020年每年可刈割8次,2019年为9次。(3)5号品种粗蛋白和全磷含量显著高于其他品种(P<0.05),分别为21.43%和0.25%。WL903品种粗纤维含量显著高于其他品种(P<0.05),含量为23.51%。(4)经灰色关联度分析,8个紫花苜蓿品种排名前3的为赛迪7号、WL525HQ、维多利亚。综上,赛迪7号、‘WL-525HQ’、维多利亚表现较好,可在干热河谷区大面积推广应用。