Output Coefficient Research Articles

A superior coherent perfect absorber and laser constructed from the periodic ring optical waveguide network based on extremum spontaneous PT-symmetric breaking points

In this study, we propose a superior coherent perfect absorber and laser (CPA laser) constructed from the one-dimensional (1D) two-material (TM) parity-time (PT) symmetric periodic ring optical waveguide network (PROWN). A novel method based on seeking the exact extremum spontaneous PT-symmetric breaking points is used for determining the imaginary part of the refractive indices of the materials composed of waveguides. The minimal overall output coefficient \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\Theta _{\\min }}$$\\end{document} and maximal transmissivity \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${T_{\\max }}$$\\end{document} can reach \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$3.1914\ imes {10^{- 16}}$$\\end{document} and \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$1.5667\ imes {10^{15}}$$\\end{document}, respectively, which are 9 orders of magnitude smaller and larger than the previously reported values, respectively. It is also found that with the increment of unit cells, \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\Theta _{\\min }}$$\\end{document} increases monotonically while \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${T_{\\max }}$$\\end{document} decreases monotonically. Moreover, \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\Theta _{\\min }}$$\\end{document} and \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${T_{\\max }}$$\\end{document} are found to be varied with the periodicity of 1.866152 MHz. Our work provides a new method for optimizing CPA lasers.

A decomposition of economic growth decompositions

This paper critically compares the ability of all three decomposition techniques that explain economic growth and its variation between regions and nations. Old time shift-and-share analysis (S&S) presumes that industry mix and regional competitiveness are all important. Structural decomposition analysis (SDA) presumes that final demand growth and input–output coefficient changes are all that matter. Growth accounting (GA) presumes the same for the growth of production factors and technological progress. This paper concludes that an econometric estimation of a GA equation without its residual factor productivity growth component, but with industry mix and demand components from S&Ss and SDAs, respectively, offers the best approach to explain longer term economic growth and variations therein.

Calculation process and spatial heterogeneity characteristic of non-point source pollution caused by rainfall-runoff in Taizhou City

ABSTRACT With improved point source pollution management, the impacts of non-point source pollution on the ecosystem are increasingly evident. However, conventional techniques like output coefficient approaches fail to adequately capture its geographical and temporal variability. This study proposed a grid-based calculation technique to quantify non-point source pollution from rainfall-runoff in the Jinqing Watershed, Taizhou City, Zhejiang Province, based on the principles of the Soil Conservation Service-Curve Number (SCS-CN) model. The modified SCS-CN model effectively represented both temporal and geographical variations in rainfall-runoff pollution. Precipitation emerged as the primary determinant of non-point source pollutant load over time due to its strong positive association with rainfall. From January to April, there was a constant pollutant load; besides irregular rainfall patterns, land use types also influenced pollutant loads at a geographical scale. Building and cultivated areas exhibited positive correlations with nitrogen (r = 0.44, P = 0.05) and phosphorus (r = 0.54, P = 0.05), while forested and grassland areas showed negative correlations with nitrogen (r = −0.44, P = 0.05) and phosphorus pollutants (r = −044, P = 0.05). Pollution loads were also influenced by landscape patterns; concentrated dominant land use types resulted in higher contamination levels compared with scattered dominant land use types.

Ultra-sensitive humidity sensing based on Coherent perfect absorber-lasing system

Abstract As a singularity in non-Hermitian physics, coherent perfect absorber-lasing (CPAL) point theoretically has an infinite quality factor and can detect small perturbations, so it has potential applications in ultra-sensitive sensors. However, in the radio frequency field, due to deviations in actual components, the system will deviate from the CPAL point and the performance will degrade significantly (the output coefficient amplitude is only 30 dB). At the same time, actual sensing research is also very lacking. Based on these, we demonstrate a CPAL-based sensor system that increases its output coefficient amplitude to 60dB. When using the lasing state as the sensing mode, it has a capacitance detection accuracy of 10 fF. Then a high-frequency capacitive humidity sensor based on polyaniline/graphene oxide/titanium dioxide film is designed. The heterojunction formed between these materials increases the number of active sites for adsorbing water molecules. With the ultra-high capacitance detection accuracy of the CPAL sensor system, it is finally able to distinguish a 1% relative humidity change at 20%RH (corresponding to a 20 fF capacitance change, or a 1.63 dB output coefficient change), showing potential sensing application prospects.

A Case Study on Input–Output Analysis in the Defense Industry

Recently, the defense budget, which includes the cost of purchasing weapons, has continuously and significantly increased in South Korea. This increase, which is entirely financed by the government, has raised the issue of the socioeconomic impacts of spending on the defense industry in areas, such as production, added value and job creation. In this regard, it is necessary to more accurately measure the impact of spending on the defense industry on domestic industry, but the Bank of Korea’s industry inducement coefficient, which measures industrial spillovers, is quite limited in measuring the industry inducement impact caused by weapon production. Therefore, this study explores how to estimate the industry inducement coefficient of the production of a specific weapon by utilising the current Bank of Korea input–output table, which is focused on private industry, and applies this methodology to the estimation of the input–output coefficient of the production of a specific weapon. As a result of the analysis, the input–output coefficient of a specific weapon was estimated to be approximately 1.18 times higher than that of the products of similar industries in the private sector in terms of production, 1.03 times higher in terms of value-added and 1.03 times higher in terms of employment. This suggests that the effect of fostering domestic industry through weapon production is somewhat greater than that of private industry and proves the efficacy of government investment in this sector.

Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

In this study, a multi-objective optimization regarding the tribological characteristics of the hybrid composite with a base material of aluminum alloy A356 as a constituent, reinforced with a 10 wt.% of silicon carbide (SiC), size 39 µm, and 1, 3, and 5 wt.% graphite (Gr), size 35 µm, was performed using the Taguchi method, gray relational analysis (GRA), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) decision-making methods. Tribological tests were carried out on a “block on disc” type tribometer with lubrication. Load, sliding speed, and graphite mass concentration were analyzed as input parameters. As output parameters, wear rate and coefficient of friction were calculated. An analysis of variance (ANOVA) was conducted to identify all parameters that have a significant influence on the output multi-response. It was found that the normal load has the highest influence of 41.86%, followed by sliding speed at 32.48% and graphite addition at 18.47%, on the tribological characteristics of composites. Multi-objective optimization determined that the minimal wear rate and coefficient of friction are obtained when the load is 40 N, the sliding speed is 1 m/s, and the composite contains 3 wt.% Gr. The optimal combination of parameters achieved by GRA was also confirmed by the TOPSIS method, which indicates that both methods can be used with high reliability to optimize the tribological characteristics. The analysis of worn surfaces using scanning electron microscopy revealed adhesive and delamination wear as dominant mechanisms.

Spatial and temporal distribution of nitrogen, phosphorus, and heavy metals loads in Guanshan River Basin based on SWAT modeling

ABSTRACT This study takes Guanshan River Basin, a typical inflow river of the Danjiangkou Reservoir, as the research area, and the nonpoint source (NPS) pollution characteristics of nitrogen and phosphorus from 2013 to 2018 were evaluated by establishing a Soil and Water Assessment Tool (SWAT) model. The pollution characteristics of heavy metals were also evaluated by combining the SWAT and simple output coefficient method. The results show that the pollutant load in Guanshan River Basin contributes significantly to the Danjiangkou Reservoir. Temporally, pollutant loads were primarily concentrated in the flood season, which had a significant positive correlation with precipitation, water yield, and sediments in the abundant period. Among them, sediments were the most important driving factor, followed by water yield. Spatially, pollutant loads were mainly concentrated downstream of the basin, where cultivated land is widespread. In this regard, it is suggested that the input of chemical fertilizers, pesticides, and livestock manure in cultivated land should be controlled and soil erosion downstream of the basin should be prevented to mitigate nitrogen, phosphorus, and heavy metal pollution. This research offers a basis for the formulation and implementation of watershed management for the Danjiangkou Reservoir.

Pollution load estimation and influencing factor analysis in the Tuhai River Basin in Shandong Province of China based on improved output coefficient method.

Estimating the pollution loads in the Tuhai River is essential for developing a water quality standard scheme. This study utilized the improved output coefficient method to estimate the total pollution loads in the river basin while analyzing the influencing factors based on the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model. Findings indicated that the projected point source pollution loads for total phosphorus (TP), chemical oxygen demand (COD), and ammonia nitrogen (AN) would amount to 3937.22 ton, 335,523.25 ton, and 13,946.92 ton in 2021, respectively. Among these, COD pollution would pose the greatest concern. The primary contributors to the pollution loads were rural scattered life, large-scale livestock and poultry breeding, and surface runoff. Per capita GDP emerged as the most influential factor affecting the pollution loads, followed by cultivated land area, while the urbanization rate demonstrated the least impact.

Evolutionary Trend Analysis of Agricultural Non-Point Source Pollution Load in Chongqing Based on Land Use Simulation

Analysis of the relationship between future land use change and agricultural non-point source pollution (ANPSP) evolution is vital to promoting sustainable regional development. By simulating future land use types, we can identify and analyze the evolution trend of ANPSP. This study takes Chongqing as a case study to establish an integrated solution based on the PLUS model, output coefficient model, and GIS technology. The solution can simulate data, identify trends, and identify key control areas under future development scenarios. The results show that the PLUS model can simulate land use types at the provincial scale with high accuracy, with a Kappa coefficient of around 0.9. The land use type changes show that urban expansion has occupied a large amount of cultivated land. From 2000 to 2020, the proportion of high-load areas with TN pollution load levels was 4.93%, 5.02%, and 4.73%, respectively. Under the two scenarios in 2030–2050, the number of high-load areas decreased, and the average load level decreased from west to east. Sensitivity analysis found that risk changes are more sensitive to the increase in fertilizer application. When the TN and TP output coefficients are increased, the number of towns with increased levels is greater than those with decreased levels when the output coefficients are decreased. Sensitivity analysis can better identify key pollution control areas. The areas sensitive to changes in farmers’ behavior are mainly the Hechuan District, Nanchuan District, Qijiang District, Jiangjin District, and Bishan District. This study provides data and decision-making support for rural green development and water environment improvement.

THE USE OF DIGITAL TWINS TO IMPROVE THE OPERATIONAL EFFICIENCY IN THE EXTRACTIVE INDUSTRIES

The article examines the impact of Digital Twins on the business processes of mining companies. Mining companies can optimise their operations, from stripping and mining to enrichment and transportation. By modelling different scenarios, identifying bottlenecks and making informed decisions, companies can improve resource efficiency, reduce downtime and increase productivity, making a positive impact on their operational efficiency. Predictive maintenance strategies implemented with the help of Digital Twins help increase efficiency by minimising unexpected equipment failures and maximising uptime.The main technological effects of the use of Digital Twins in the mining industry, which affect the operational efficiency of the company, are: (1) an increase in the volume of output of commercial products after coal enrichment; (2) an increase in the coefficient of output to the production line of mining equipment.These effects lead to an improvement in the operating efficiency of the mining company, which increases indicators such as EBITDA and cash balance at the end of the period. This impact on operating efficiency is achieved by increasing the volume of commercial products, improving the efficiency of production processes, and by reducing the fixed and operating costs of the business.In order to assess the impact of the use of Digital Twin technology on mining companies, a methodology has been developed to assess the impact of the use of Digital Twin technology on mining companies. According to the results of the survey, a number of key production processes have been identified where the introduction of a Digital Twin is expected to have an impact.As a result of the empirical study, the expected increase in EBITDA from the implementation of the Digital Twin was 28%, the actual increase in EBITDA over the study period was 21%. The expected increase in free cash at the end of the period was + 593 million rubles (+130%), the actual increase in free cash for the period under study was 441 million rubles (+96%).The introduction of Digital Twins in mining companies has shown great potential for improving operational efficiency and solving complex challenges facing the industry.

Impact of asset intensity and other energy-associated CO2 emissions drivers in the Nigerian manufacturing sector: A firm-level decomposition (LMDI) analysis

The study considered the impacts of asset intensity and other energy-associated CO2 emissions drivers in the Nigerian manufacturing sector from 2010 to 2020. The Logarithmic Mean Divisia Index (LMDI) was used to explore the driving factors of CO2 emissions: asset intensity, economic output, economic structure, energy intensity, energy mix, and carbon emission coefficient. From the results, the CO2 emissions decreased from 7.49 MtCO2 in 2010 to 3.22 MtCO2 in 2020. Furthermore, among the emissions drivers, the energy mix effect increased CO2 emissions by 0.50 MtCO2, followed by asset intensity (0.29 MtCO2) and economic structure (0.11 MtCO2). The energy intensity, economic output, and emission coefficient effects inhibited CO2 emissions by −4.64 MtCO2, −0.42 MtCO2, and −0.01 MtCO2 respectively. The contribution of the subsectors' emissions shows that the Other Manufacturing subsector emitted 14.62 MtCO2, while Chemical and Pharmaceutical emitted 14.61 MtCO2, Food, Beverages and Tobacco, 7.55 MtCO2, Textile, Apparel, and Footwear, 6.63 MtCO2, Basic Metal and Iron and Steel, 5.15 MtCO2, Plastic and Rubber Products, 2.99 MtCO2, Agro-Allied, 2.71 MtCO2, Oil Refining, 2.01 MtCO2, and Pulp and Paper Products, 1.76 MtCO2. The results indicated that the effect of asset intensity on emission growth is significant and should not be overlooked. Likewise, the effects of CO2 emission drivers were found to impact differently across the subsectors. The latter suggests that firm-specific indicators in the respective subsectors should be one of the primacies during policy development since the driving factors of CO2 emissions fluctuate across the subsectors.

Comparison of greenhouse gas emissions from sheep measured using both respiration and portable accumulation chambers

Methane (CH4) is a potent gas produced by ruminants, and new measurement techniques are required to generate large datasets suitable for genetic analysis. One such technique are portable accumulation chambers (PAC), a short-term sampling method. The objectives of the current study were to explore the relationship between CH4 and carbon dioxide (CO2) output measured using both PAC and respiration chambers (RC) in growing lambs, and separately investigate the relationship among CH4, CO2 and measured ad libitum DM intake (DMI). Methane, CO2 and DMI were measured on 30 Suffolk and 30 Texel ewe lambs (age 253 ± 12 days) using the RC and PAC sequentially. The experiment was conducted over a 14-day period, with DMI measured from days 1 to 14; measurements in RC were conducted from days 10 to 12, while measurements in PAC were taken twice, the day immediately prior to the lambs entering the RC (day 9; PAC Pre-RC) and on the day lambs exited the RC (day 13; PAC Post-RC). Greater CH4 and CO2 output was measured in the RC than in the PAC (P < 0.01); similarly mean CH4 yield was greater when measured in the RC (15.39 ± 0.452 g CH4/kg DMI) compared to PAC (8.01 ± 0.767 g CH4/kg DMI). A moderate correlation of 0.37 was found between CH4 output measured in PAC Pre-RC and the RC, the corresponding regression coefficient of CH4 output measured in the RC regressed on CH4 output measured in PAC Pre-RC was close to unity (0.74; SE 0.224). The variance of CH4 and CO2 output within the measurement technique did not differ from each other (P > 0.05). Moderate to strong correlations were found between CH4 and CO2 per kg of live weight and CH4 and CO2 yield. Results from this study highlight the suitability of PAC as a ranking tool to rank animals based on their gaseous output when compared to the RC. However, repeated measurements separated by several days may be beneficial if precise rankings are required. Given the close to unity regression coefficient of CH4 output measured in the RC regressed on CH4 output measured in PAC Pre-RC suggests that PAC could also be potentially used to estimate absolute CH4 output; however, further research is required to substantiate this claim. When DMI is unknown, CH4 and CO2 per kg of live weight are a suitable alternative to the measurement of CH4 and CO2 yield.

Performance analysis of heat pump polygeneration system

A heat pump polygeneration system is a promising technology to meet daily needs such as drinking water, power, space cooling or heating, and hot water generation. This work is focused on integrating the solar heat pump and two-stage humidification–de-humidification with a minimum space requirement. In this integrated cycle, the desired outputs i.e. condenser heat and evaporator heat are used for maximizing hot water and desalinated water production with minimal thermal pollution. For warm or hot air generation, an air reheater device is used after the heat pump. By using the switching operation, the air reheater is used accordingly as per climatic conditions. So in this integrated cycle, a coconut coir-packed humidifier is used for the humidification process, and a water-cooled heat exchanger and heat pump evaporator are used for the dehumidification process to meet the desired outputs from the system. The MATLAB simulation tool is used to simulate the thermodynamic model of the integrated cycle, and it is focused on studying the effect of mass flow rate, atmospheric temperature, relative humidity, evaporator temperature, and hot/cold water temperature, on outputs, as well as the energy conversion factor of the plant and cycle. At 25°C ambient air temperature, the energy conversion factor of the plant and cycle are 0.866 and 2.2, respectively. Similarly, at 75% humid air and 35°C surrounding air temperature, the gained output ratio and coefficient of performance are 4.03 and 1.964, respectively. And also, the plant and cycle energy conversion factors are 0.903 and 2.4.

Fiscal Policy in a DSGE Model of a Resource-Rich Emerging Economy: The Nigerian Experience

This paper examines the role of fiscal policy in driving macroeconomic dynamics in a resource-rich emerging economy like Nigeria. Specifically, the paper investigates the macroeconomic implications of fiscal policy using a small open economy dynamic stochastic general equilibrium model that features oil in the fiscal rule. The model is estimated via Bayesian methods using data covering the period 2010Q1- 2021Q1. The results show that the feedback coefficient of output in the fiscal rules is mainly negative, indicating a counter-cyclical fiscal stance. Also, increased oil revenue leads to a rise in government consumption, investment and transfer payments. Further evidence indicates that government spending and transfer payments rose in response to increased debt. We also show that fiscal shocks are highly persistent and that government spending on consumption and investment, tax instruments and transfer are expansionary.

Investigating the solid waste recycling management

Abstract &#x0D; Objective: Garbage is waste solid materials that are left over from the use of people and production and service institutions and are unusable. These seemingly inefficient sources are the most important urban pollutant in different amounts and in liquid and solid form and cause harm. and the citizens' interest, but in the case of optimal management and use of these valuable resources as raw materials in addition to protecting the environment, reducing the level of pollution, reducing the amount of diseases and deaths, it can be considered the best driver of production activities, recycling management Household solid waste in Kabul city is handled according to municipal standards and regulations (collection, transfer, burial and reuse), which is the main goal of this research to investigate the effects of household solid waste management and recycling in Kabul city.&#x0D; Method and tools: Since the nature of this research is descriptive-applicative, in order to collect information from two sources, the library and a questionnaire with a 7-point Likert scale from 384 citizens of the 15th district of Kabul city were randomly sampled and analyzed using spss software. First, the confidence level of the questionnaire of both variables was determined by Cronbach's alpha method with the output coefficient (waste management 0.86 and recycling rate 0.82) and then its correlation intensity was determined by the Pearson method and also to predict the dependent variable from the linear regression function of the information received and investigated. And the dispute has been placed.&#x0D; Finding: Pearson's correlation analysis with 95% confidence level of the number placement (p=0.004, N=384, R=0.86) with a coefficient of determination of 0.73 and a statistical value (t) of 4.76, which is greater than the critical value of table t 2.3, shows the relationship There is a strong positive among the variables and it states that the increase in the amount of recycling and the decrease in the consumption of family solid waste depends on the improvement of waste management, in the same way, the beta coefficient of 0.59 and t=7.31&gt;1.96 and sig&lt;0.05 of linear regression were obtained. It shows that improving family solid waste management will reduce the amount of waste consumption and recycling by 59%, also the extracted information shows that about 97% of household waste is bought and collected by informal garbage collectors.

LINEARITY TEST ANALYSIS OF AIRCRAFT RADIATION OUTPUT X-RAY FLUOROSCOPY

The number or intensity of X-ray photons produced correlates with the increase in tube current per time (mAs), which affects the image density on the final film. To ensure the consistency of the increase in X-ray radiation output and the Linear Coefficient of X-ray radiation output, is within the tolerance limits specified in PERKA BAPETEN Regulation Number 9 of 2011. The aim of this research is to determine the linearity of the X-ray Fluoroscopy radiation output in one of the houses. Jakarta sick. The method used is an experimental approach with a quantitative model. Measurement of radiation output using a PM1610 Personal Dosimeter on a Fluoroscopy aircraft. The results of measuring the linearity of X-ray radiation output with voltage variations of 40 kV, 50 kV, 60 kV, 70 kV show that the value of the Linearity Coefficient (CL) is (0.08 ; 0.06 ; 0.09 ; 0.07). So it can be said that the X-Ray Fluoroscopy equipment is in good condition because the CL value obtained in this study is below the Tolerance Limit Value according to PERKA BAPETEN Number 9 of 2011, namely CL ≤ 0.1 or ≤10%. This research can be carried out as a reference in further research

Blood clot and fibrin recognition method for serum images based on deep learning

BackgroundDetecting and identifying of clots and fibrins in serum is an important process in the analysis stage before laboratory analysis. Currently, visual examination is commonly employed in clinical laboratories for this purpose. However, this method is not only time-consuming but also highly subjective and may result in misjudgments. MethodA serum image blood clot and fibrin segmentation method based on improved UNeXt was proposed. The improved UNeXt segmentation network was used to train the self-built serum dataset, and the trained model was used for blood clot and fibrin segmentation in serum images. Whether the serum images contained blood clots and fibrins was identified according to the segmentation results. ResultsThe average Dice coefficient of the serum image segmentation network output was 0.8707, which realized more accurate segmentation of blood clots and fibrins in serum images. In 13,230 clinical serum samples, the sensitivity, specificity, and accuracy of blood clot and fibrins segmentation in serum images were 95.74%, 98.11% and 97.93%, respectively, which meet clinical test requirements. ConclusionsThe improved UNeXt segmentation network rapidly and accurately segmented and recognized blood clots and fibrins in serum images, which provided an accurate basis for the sampling height of the sampling needle in the automated biochemical and immunological assembly line.

Performance characterisation and design considerations for a domestic ammonia/salt resorption heat pump

Heat pumps will play a key role in the future provision of low carbon domestic heating and the re-use of industrial waste heat. Adsorption cycle heat pumps are advantageous in that they can use the existing natural gas network to avoid electricity supply limitations across the UK. A 2 kW domestic-scale ammonia/salt heat pump demonstrator is currently being tested at the University of Warwick as a replacement for a conventional condensing gas boiler. This paper describes analysis work in support of this testing which will lead to design refinements in follow-on developments.A Matlab-based 2D transient simulation package was developed to study heat transfer and reaction rate within a pair of linked reactors. Heat conduction and sorption rate are modelled together with inter-reactor gas flows and parasitic heat loss. Novel features include the use of Matlab's linked ODE solvers for convergence (ODE15S was found to be fastest) and the script file input configuration which combines clear visibility of parameters with the ability to run multiple simulations to show the effect of parametric variations. The code facilitates rapid design optimisation.Eleven cycle parameters have been investigated, including filling pressure, heat transfer coefficients, salt ratio, source temperatures, void space and heat capacity. The choice of cycle period involves a compromise between coefficient of performance and power output. A water/glycol heat transfer fluid gives better COP and output power than thermal oil. Insulation within the reactor shell has the potential to limit shell transient heat exchange but void space effects are likely to be more significant. The heat capacity of fluid in pipes and manifolds should be minimised.COP = 1.31 is achieved at 45 °C delivery; 60 °C for hot water is possible but with lower COP. The best results for space heating are obtained with source temperatures above -5 °C.

Research on the Synergistic Development and Operation Mechanism of Vocational Education and Innovative Development Concepts in the Context of Deep Learning

Abstract This paper proposes that the synergistic mechanism promotes the vocational education innovation system to transition from the primitive low-level, ordered and relatively balanced stage to the high-level, ordered and fully synergistic stage. By analyzing the dynamic evolution process of the order parameter, a complex system with self-evolution capability is built, and the vocational education collaborative innovation model is constructed at three levels: macro, meso and micro. Finally, in carrying out the benefit distribution and arithmetic example analysis, the spillover effect of the synergistic subject is explored, and the optimal value is taken using the optimization model of synergistic development of higher vocational colleges and universities. The results show that when the quadratic term coefficient of innovation output is 0.086, the stabilization strategy is (0,1) or (1,0), and the multi-body innovation resources realize interaction stabilization without spillover or feedback effects. This study proposes the optimal path of innovation integration mechanism from the aspects of mechanism, mode and content, which can provide new ideas for the collaborative development of vocational education and enterprises.

Investigation of the Concentric Heat Pump with Improved Energy Performance

This paper investigates the energy characteristics of the concentric heat pump. The heat exchanger of the evaporator of the "pipe in pipe" type, through the inner copper tube of which the refrigerant circulates, and inside the outer pipe - the coolant, is placed in a spiral around the compressor, cooling it and at the same time absorbing the heat released by it. The new design improves technical and economic performance. Experimental results were carried out, which confirm the possibility of maintaining the compressor temperature (80-90°C), increasing the heat output and conversion coefficient (COP) by an average of 10-15%. The proposed technical solution makes it possible to improve the energy efficiency of the concentric heat pump due to the absorption of the excess heat from the evaporator in the general heat flow and to reduce the emissions of CO2.