Supply Model Research Articles

Assessing the functionality of a water-vending kiosk network with high-frequency instrumentation in Freetown, Sierra Leone

Access to safe, reliable, and equitable water services in urban settings of low- and middle-income countries remains a critical challenge toward achieving Sustainable Development Goal 6.1, but progress has either slowed or stagnated in recent years. A pilot water kiosk network funded by the United States Millennium Challenge Corporation was implemented by the Sierra Leone Millennium Challenge Coordinating Unit into the intermittent piped water distribution network of Freetown, Sierra Leone, as a private-public partnership to improve water service provision for households without reliable piped water connections and to reduce non-revenue water. This study employs the use of high-frequency instrumentation to monitor, model, and assess the functionality of this water kiosk network over 2,947 kiosk-days. Functionality was defined via functionality levels on a daily basis through monitored stored water levels and modeled water withdrawals. The functionality levels across the kiosk network were found to be 34% operational, 30% offline, and 35% empty. Statistically significant (p<0.001) determinants of functionality were found for several predictors across the defined thresholds. Finally, modeling of water supply, water demand and withdrawal capacity, and water storage was conducted to further explain findings and provide additionally externally relevant support for kiosk operations.

The Heterogeneous Effects of Social Assistance and Unemployment Insurance: Evidence from a Life Cycle Model of Family Labor Supply and Savings

We empirically analyze the heterogeneous welfare effects of unemployment insurance and social assistance. We estimate a structural life cycle model of singles’ and married couples’ labor supply and savings decisions. The model includes heterogeneity by age, education, wealth, sex, and household composition. In aggregate, social assistance dominates unemployment insurance; however, the opposite holds true for married men, whose leisure time declines more than that of their spouses when unemployment insurance is reduced. A revenue-neutral rebalancing of social support away from unemployment insurance and toward social assistance increases aggregate welfare. Income pooling in married households decreases the welfare value of social assistance. (JEL D13, D15, G51, I38, J22, J64, J65)

Research on harmonic power flow calculation of novel urban distribution network considering the switching power supply harmonic and the correlation of impedance-frequency

Harmonic power flow calculation is the basis of harmonic analysis, tracing, and treatment. This paper focuses on the harmonic issues associated with the implementation of the “dual-carbon” plan in novel urban distribution networks. Due to the widespread integration of renewable energy generation into urban electrical grids, an increasing number of power electronic devices are being connected to the grid, which has a certain impact on harmonic power flow. Firstly, the harmonic components of 6-pulse and 12-pulse rectifiers are analyzed for the switching power supply model widely used in the distribution network. Secondly, the equivalent parameter models of the generator, the transformer, and the lines are reviewed. Finally, from the perspective of power balance, a harmonic power flow model considering the terminal switching power supplies and the correlation between impedance and frequency is proposed. Simulation verification is conducted to demonstrate the feasibility and accuracy of the proposed method.

A novel cost-effective power supply model for industrial appliances based on triangular magnetic shunt transformer design

This paper presents a new design of a magnetic shunt transformer for use in industrial microwave generators. The proposed transformer has a triangular shape and offers several advantages over existing transformer designs, including reduced volume and maintenance costs. We provide a detailed analysis of the transformer's dimensions and an equivalent model of the three-phase high voltage power supply system. The results of this study have significant implications for the field of industrial microwave generator design and could lead to the development of more efficient and costeffective systems. The resulting model is comprised of saturable inductors capable of accounting for the non-linear phenomena of saturation. The power supply is simulated using MATLAB/Simulink with a neuro-fuzzy ANFIS approach. The results are compared to experimental validations of a single-phase reference power supply for a magnetron, validating the proposed power supply. Additionally, the simulation results demonstrate the effectiveness of the proposed design, which outperforms existing transformers in terms of volume, energy efficiency and maintenance costs.

Systems for Energy Modeling in the Transport Sector

The study of models and systems for increasing energy efficiency in the transport sector and development up to 2050 is of strategic importance for the Bulgarian economy. The role and impact of different electricity supply models are examined in detail, in particular the role of energy storage systems and their evolution in the transport sector. Models and scenarios are explored to investigate the impact of the deployment of energy stor­age systems as well as the contribution in the integration of variable renewable energy in the electricity system. Approaches are used to model hourly transport-energy costs based on five scenarios that represent possible solutions to provide the necessary energy supply in the sec­tor in the long run.

고령자 서비스 결합주택의 공급제도 연구

Although social demand on integrated service housing for the elderly, there were not enough researches focusing on supply model in detail. The objective of this study is to develop more sophsticated model concerned on service integrated housing based on the preferece of the elderly viewpoints. Considering its development stage for elderly house with services, delphi method can be a substantial instrument in constructing service housing model. The service integrated housing has a dual components that comprise of housing aspect and welfare one so interviewees were divided by urban and housing researchers and those of welfare division. Two rounds of questionaare was implemented in order to set up supply model for the service housing. Main conclusions are as follows. first, providing home-like arrangement are important for making curing environment and middle size are opt to compared with small or large size complexes. Second, facilitating private participation for service housing, setting up assistant program in supply and operation stage of that housing. Third, new legislation is urgent task in facilitating and making age friendly supply environment. Considering the shortage of service housing provision, legislative endeavour are urgently needed for our future.

Energy Marketing and Fiscal Regulation of a Competitive Energy Efficiency System

Introduction. Developing and implementing the principles of the energy-saving approach concept actualizes the need to define energy marketing tasks and fiscal regulation tools for energy conservation to increase the efficiency of using resources in the energy sector.&#x0D; Aim and tasks. The aim of this study is to form and substantiate the expediency of implementing directions for energy marketing development and fiscal regulation of implementing energy-saving measures to achieve the goals of national economic recovery and large-scale energy modernization.&#x0D; The results. The main tasks of energy marketing in monitoring the current world environment based on information and communication technologies have been defined and substantiated, and that should become a source of competitive advantage in the electric energy market and obtain significant income for market participants. It has been proven that using oligopoly models to determine the equilibrium condition of the electric energy market will make it possible to form a corrective managerial influence on the development of a competitive energy industry. With a 3-fold increase in the demand parameter, it has been established that the electricity market reaches equilibrium under the equilibrium model of supply functions with larger electricity production volumes and lower prices than in other models. It has been proposed to introduce tools for fiscal regulation by introducing energy-saving technologies into a single system of solutions to increase energy efficiency and energy saving.&#x0D; Conclusions. Analysing and generalizing the features of energy market participants’ interaction using a wide range of oligopoly models made it possible to develop recommendations for implementing strategic security-related tasks. If these tasks are not realized, the risks of losing energy independence will increase, and the economic potential necessary for the restoration and further development of the national economy will continue to be lost based on the principles of sustainable development and a systematic approach to setting and achieving the goal of the national energy-saving policy. The feasibility of introducing tools for budget regulation is also justified, which will create a robust creative basis for implementing an effective strategy for managing the demand for energy resources.

Data-driven flexibility evaluation methodology for community integrated energy system in uncertain environments

Flexibility operation and evaluation have become central and critical for grid integration of high percentage of renewable energy generations (REGs). However, the interactions between multiple energy forms in community integrated energy system (CIES) and the uncertainty of REG significantly complicate the quantification of flexibility. To this end, a novel two-stage data-driven flexibility evaluation methodology is proposed for CIES. The first stage performs optimal scheduling of multiple flexible resources, where the flexible thermal comfort requirements of users in integrated response demand are considered by introducing a predicted mean vote index. The second stage refines the flexibility supply model for flexible resources, and carves out the system flexibility supply domain by enveloping the net load. To overcome the uncertainty of REG, a data-driven scenario analysis approach is developed, which fully captures the renewable output characteristics under different climate environments and avoids complicated explicit feature model construction. Furthermore, a set of evaluation metrics is proposed from the aspect of direction, amount, and frequency to quantify the flexibility. The effectiveness and accuracy of the proposed methodology are verified by applying it to a modified CIES located in North China. The sensitivity analysis of multiple time scales and flexible resources to operational flexibility and economy of CIES is presented, which provides guidelines for the efficient allocation of flexible resources and expand planning of CIES.

Hepatic nutrient and hormone signaling to mTORC1 instructs the postnatal metabolic zonation of the liver

The metabolic functions of the liver are spatially organized in a phenomenon called zonation, linked to the differential exposure of portal and central hepatocytes to nutrient-rich blood. The mTORC1 signaling pathway controls cellular metabolism in response to nutrients and insulin fluctuations. Here we show that simultaneous genetic activation of nutrient and hormone signaling to mTORC1 in hepatocytes results in impaired establishment of postnatal metabolic and zonal identity of hepatocytes. Mutant hepatocytes fail to upregulate postnatally the expression of Frizzled receptors 1 and 8, and show reduced Wnt/β-catenin activation. This defect, alongside diminished paracrine Wnt2 ligand expression by endothelial cells, underlies impaired postnatal maturation. Impaired zonation is recapitulated in a model of constant supply of nutrients by parenteral nutrition to piglets. Our work shows the role of hepatocyte sensing of fluctuations in nutrients and hormones for triggering a latent metabolic zonation program.

Orochi impact formula: An evidence-based approach for quantifying the societal harm of County Lines drug supply

The County Lines (CL) drug supply model is a rapidly increasing threat. Metropolitan Police Specialist Crime have developed a statistical formula, referred to as ‘Orochi impact formula’ for conservatively quantifying the quantity and monetary value of drugs sold per line. The novel formula, which uses known average daily consumption rates of Class A drug and customer demand telephony data, conservatively indicates deal line trade, systematically differentiating between deal lines to quantify the relative impact of each. This evidence-based approach has potential for supporting (i) prosecution of line holders, (ii) determining sentencing deterrents, and (iii) wider public information and knowledge exchange.

A Study on Enhancing Sustainability in Circular Supply Chains through Green Innovations

Redefining product and service lifecycles with eco-friendly and sustainable processes, circular supply chains are green breakthroughs. Minimising waste, environmental effect, and resource efficiency are its goals. In a circular supply chain, green innovations can include product design that facilitates recycling or reuse, process improvements that reduce energy consumption and emissions, logistics solutions that optimise transportation for lower carbon footprints, and service innovations that promote sustainability. These green ideas improve supply chain efficiency and competitiveness while helping the environment. Businesses may reconcile economic growth and environmental stewardship by rethinking and rebuilding linear supply models into circular and sustainable ones, paving the way for a more sustainable future. This study examines how green innovations affect circular supply chains in Andhra Pradesh's durable goods industry. It analyses how product, process, logistical, and service green innovation improves supply chain efficiency. The quantitative research uses structured surveys to obtain data from 150 industry professionals and customers. Convenience sampling was used to acquire varied supply chain performance metrics responses. SPSS is used for rigorous regression analysis in the study. This method lets you study how green innovation affects circular supply chain performance. All green innovations improve supply chain efficiency, but green service innovation has the greatest benefit. This research provides strong evidence for green innovations in durable goods industry circular supply networks. The study emphasises ecologically friendly product creation, logistics, service delivery, and process management.

Strategic features of heat supply in different countries

Aim. To analyze the features of different models of heat supply in different countries in terms of identifying strategic actors and their role in the analyzed models.Objectives. To analyze heat supply models in Russia, Kazakhstan, USA and China, as well as strategic features in heat supply models of different countries; to identify strategically significant actors that play a leading role in the heat supply industry in different countries; to compare and reveal the features that can contribute to the growth of efficiency of strategizing the domestic heat supply industry.Methods. The research is carried out in accordance with the strategy theory and strategy methodology developed by academician V.L. Kvint in the aspect of analyzing the external environment, interest groups and assessing the influence of strategic actors in the industry.Results. In all the studied countries the state plays the role of regulator and controller, as the industry directly affects the economy of any country and the well-being of citizens. However, the level of regulation and influence of the state on the industry differs. The population as an actor shaping the strategic feature is identified only in the USA. This is due to the high decentralization of the industry and complicates strategizing, because in accordance with the methodology of V. L. Kvint, everyone who will subsequently implement the developed strategy should participate in the strategizing process. Each model has advantages and disadvantages. The US model of heat supply takes into account the opinion of the actors most fully, although it is the most decentralized and has the least population coverage. In contrast, China’s ultra-high centralization model achieves efficient growth and predictable planning in the heat sector. However, this model focuses on achieving quick results through the wholesale supply of heat to industrial enterprises and the use of cheap, unecological fuels such as coal.Conclusions. Most of the models analyzed tend to decentralize the heat supply system. For effective strategizing in the Russian industry it is necessary to increase the role of consumers and generating companies as strategic actors in the heat sector.

Multifunctional Superconducting Magnetic Energy Compensation for the Traction Power System of High-Speed Maglevs

With the global trend of carbon reduction, high-speed maglevs are going to use a large percentage of the electricity generated from renewable energy. However, the fluctuating characteristics of renewable energy can cause voltage disturbance in the traction power system, but high-speed maglevs have high requirements for power quality. This paper presents a novel scheme of a high-speed maglev power system using superconducting magnetic energy storage (SMES) and distributed renewable energy. It aims to solve the voltage sag caused by renewable energy and achieve smooth power interaction between the traction power system and maglevs. The working principle of the SMES power compensation system for topology and the control strategy were analyzed. A maglev train traction power supply model was established, and the results show that SMES effectively alleviated voltage sag, responded rapidly to the power demand during maglev acceleration and braking, and maintained voltage stability. In our case study of a 10 MW high-speed maglev traction power system, the SMES system could output/absorb power to compensate for sudden changes within 10 ms, stabilizing the DC bus voltage with fluctuations of less than 0.8%. Overall, the novel SMES power compensation system is expected to become a promising solution for high-speed maglevs to overcome the power quality issues from renewable energy.

“They have been a saving grace in all this”: the role of the third sector in disabled people’s experiences of COVID-19 and implications for sector–state relations

This article explores the third sector’s role during the COVID-19 pandemic and its impact on the experiences of disabled people in England and Scotland. It draws on semi-structured longitudinal interviews with 71 disabled people and 31 key informants, primarily from disabled people’s organisations. The third sector’s nimble response, supporting people in myriad innovative ways, emerged as a key finding. In contrast, statutory services were experienced by many as a barrier rather than an enabler, posing doubts about the state’s ability to respond to the crisis. Our findings raise questions about the role of the state and the third sector. We employ and critique Young’s typology of sector–state relations, concluding that the state needs to engage with the third sector as an equal and strategic partner, recognising its civil society credentials. Further, we raise questions about the appropriateness of using supply and demand models to understand the third sector’s societal role.

Bridging Quantitative and Qualitative Science for BECCS in Abandoned Croplands

AbstractBioenergy with carbon capture and storage (BECCS) plays a vital role in most climate change mitigation scenarios, where a solution for sustainable near‐term bioenergy expansion is to grow energy crops such as perennial grasses on recently abandoned cropland. There is a need to combine model‐based insights into theoretical potential and future biomass supply with more fine‐grained sociotechnical analysis to move toward realistic policies and innovation strategies. We combine natural science insights anchored in quantitative bioenergy modeling with qualitative social science anchored in the multi‐level perspective. Using these mixed methods enables a global‐to‐local‐to‐global level assessment of near‐term bioenergy recultivation opportunities for abandoned cropland. Norway is the local case. There are three main findings. First, the ongoing recultivation trends for food/feed production risks making gains in aboveground carbon stocks from natural regrowth on the mapped abandoned cropland over a 30‐year evaluation period almost negligible. Second, delaying a BECCS recultivation of abandoned cropland will make it impossible to reach high‐end mitigation potentials, and an accelerated BECCS recultivation guided by a policy push is needed to ensure stronger mitigation. Third, we unravel several real‐world challenges associated with bioenergy resource and supply modeling. Remote‐sensing techniques alone cannot capture actual land availability for land‐based climate change mitigation strategies. Local‐level sociotechnical conditions are generally found insufficiently supportive to align with the rapid near‐term bioenergy crop expansion found in 2°C scenarios from integrated assessment. The integration of mixed quantitative and qualitative methods is key to better understand the role of BECCS in climate change mitigation.

Research on complex network modeling of building materials supply and demand and characteristics of communities

Currently, China's building materials market is large and the supply and demand transactions are very frequent, which requires us to have a comprehensive understanding of the supply and demand transactions of building materials. Based on complex network theory, this paper constructs a complex network model of supply and demand of building materials. And the Louvain algorithm is also improved to identify and characterize the network community relations based on the characteristics of this network. This paper also applies prefabricated components as an example for empirical research and obtains the following findings: (1) From 2017 to 2022, large- and medium-sized communities in the network gradually increase while small communities gradually decrease; the internal connectivity of large communities is higher than that of small communities; and the regional network also has the structural characteristics of the network. (2) The characteristics of geographic agglomeration gradually emerge in the individual communities in the supply–demand network of prefabricated components with the passage of time. Most of these communities are bounded by provinces, and large-scale communities are distributed in the eastern and southern coastal areas. Thus, this paper visualizes the supply and demand of construction materials to provide a theoretical basis and methodological support for the supply and demand of construction materials and the development of the construction industry.

Load model of high power magnet power supply for EAST based on GMPSO-BP neural network

To provide an accurate dynamic load model for the stability analysis of Tokamak, a method of back propagation (BP) neural network employing particle swarm optimization(PSO) algorithm based on mutation of Gaussian white noise disturbance (GMPSO-BP) is recommended. This method performs high-precision fitting using the GMPSO-BP neural network on the measured data of the experimental advanced superconducting Tokamak (EAST) poloidal field magnet power supply, extracts network parameters to build a dynamic load model, and then compares the simulation results with the measured data to calculate the error coefficient. The model is a component of the EAST distribution network's digital simulation model. An analogous load model is employed instead of developing the poloidal field magnet power supply from the mechanism. The revised algorithm has quick convergence times, good initial value adaptability, and error function accuracy of 0.3 to 3 %. The simulation outcomes show that the approach has a greater training effect.

On fractional Caputo operator for the generalized glucose supply model via incomplete Aleph function

In this paper, we have attempted a fresh method to demonstrate how special functions and fractional calculus are used in real-world problems. Here, we have examined the glucose supply in human blood using the incomplete Aleph function (IAF) and the Caputo fractional operator. In this study, we used the incomplete Aleph function to find the blood glucose equation that is supplied to human blood. In terms of various hyper-geometric functions, we have also obtained several significant and unique results, and we have defined the blood glucose function in terms of IAF.

Determinants of zero-car and car-owning apartment households

AbstractWhile much research has explored the determinants of car ownership, there is little understanding of these factors in the context of apartment households, where off-street car parking provision is frequently stipulated by planning requirements and zero-car households are more evident. Drawing on a survey of apartment residents (n = 1316) in three Australian cities, this study aimed to understand the determinants of zero-car and car-owning apartment households. The data was analysed using binary and multinominal logistic regression, including random parameter modelling. A joint model of car ownership and off-street car parking supply was also developed to account for potential endogeneity between these two variables. The results highlight the significant association between car ownership and off-street car parking supply, alongside a range of socio-demographics, attitudes, perceptions, built environment and transport characteristics. An additional off-street car parking space, on average, was found to increase the odds of having 2+ cars, compared with zero cars, by around 10 times. The findings imply that reducing off-street residential car parking requirements can play a significant role in supporting lower car ownership levels among apartment households.

Health Workforce Planning: Designing a Specialty and Subspecialty Supply Model for Iran.

One of the approaches to health workforce planning is supply-based. It has been emphasized that countries should model health workforce based on evidence and their context. The objective of this study is to "design a supply health workforce planning model for specialty and subspecialty in Iran." This is a study using Walker and Avant's (2018) theory synthesis framework to construct the model. This method has three steps. According to the viewpoint of the research team and the needs of the country, the focal concept is determined. Then, a literature review was done to determine related factors and their relationships. In the third step, according to the review, the viewpoint of the research team, the rationale of the connection between components, and the graphic model were presented. "Supply" was selected as the focal concept. In the literature review, 42 components were obtained from the systematic review, 43 components obtained from the study of other texts were combined with the opinion of the research team about the field of Iran, and the connections between them were determined. In the third step, the supply model was designed using the Stock and Flow method. Finally, by applying the "functional full-time coefficient", the number of full-time equivalent physicians was calculated. The presented model is an evidence-based model that follows stock and flow design. Stock is the number of specialties or subspecialties that exist in the labor market. Flow includes inflow and outflow according to the educational pathway in the context of Iran.