Renewal Model Research Articles

Standardizing a unique renewable energy supply chain: the SURESC Model.

This theory-building research intends to dig into the renewable energy industry and drawing from research on learning curves and energy polices, proposes a way to speed-up the energy shift from our fossil-fuel dependency to a green economy. Even though standard economic frameworks suggest that markets and not policy makers should decide winners and losers, we urge to accelerate renewable energy competitiveness, proposing that by limiting the number of maturing renewable technologies where resources are allocated to at government level, we reduce the time within which renewables will achieve technological price parity with fossil fuels. In turn, by analysing the energy demand and supply curves, the study suggests that this action will also mediate the relation between quantity and price, shifting only the supply curve, leaving the demand curve unaffected. It continues by proposing the standardization of a unique renewable energy supply chain model, defined as the SURESC model, relating the indirect effect of limiting the number of maturing technologies to allocate resources, to achieve renewable price-parity with conventional energy sources faster. This is a preliminary theoretical study intended to provide a holistic approach to a known problem.

Optimal planning and performance estimation of renewable energy model for isolated hilly Indian area

Optimal planning and performance estimation of renewable energy model for isolated hilly Indian area

Critical fluctuations in renewal models of statistical mechanics

We investigate the sharp asymptotic behavior at criticality of the large fluctuations of extensive observables in renewal models of statistical mechanics, such as the Poland–Scheraga model of DNA denaturation, the Fisher–Felderhof model of fluids, the Wako–Saitô–Muñoz–Eaton model of protein folding, and the Tokar–Dreyssé model of strained epitaxy. These models amount to Gibbs changes of measure of a classical renewal process and can be identified with a constrained pinning model of polymers. The extensive observables that enter the thermodynamic description turn out to be cumulative rewards corresponding to deterministic rewards that are uniquely determined by the waiting time and grow no faster than it. The probability decay with the system size of their fluctuations switches from exponential to subexponential at criticality, which is a regime corresponding to a discontinuous pinning–depinning phase transition. We describe such decay by proposing a precise large deviation principle under the assumption that the subexponential correction term to the waiting time distribution is regularly varying. This principle is, in particular, used to characterize the fluctuations of the number of renewals, which measures the DNA-bound monomers in the Poland–Scheraga model, the particles in the Fisher–Felderhof model and the Tokar–Dreyssé model, and the native peptide bonds in the Wako–Saitô–Muñoz–Eaton model.

A renewable resource model of health decision-making: insights to improve health marketing

A primary goal of health marketing is to help people make healthy choices. The problem is that health decision-making is complex, and individuals often make unhealthy decisions even when healthy options are promoted. In this paper, we address this problem by integrating literature in marketing, psychology, economics, medicine, and health to develop a new conceptual model: Health as a Renewable Resource, that can be readily used by marketers to help people manage their health-impacting decision. It is apparent that people view health as, in part, renewable and fungible. Underpinning this, we argue that people have an implicit model of health, analogous to a reservoir. This reservoir can be filled or drained, such that trade-offs in health-impacting decisions can be made over time. The reservoir’s inputs and outputs are controlled by behavioral choices and unconscious processes including biological and environmental mechanisms. The practical and research applications of the model are outlined.

Design and analysis of grid-connected sustainable urban residential energy systems

PurposeEarlier most of the research groups have designed and developed hybrid renewable energy system models with technological, scientific and industrial advancement for the energy systems, but slight attention has been paid towards the grid-connected sustainable urban residential energy systems (SUReS) for metropolitan cities. The current research wishes to design, model and analyze grid-connected energy system for residential applications for sustainable urban residential energy system. The works aims to explore the potential of the augmented energy system for grid-connected energy system.Design/methodology/approachThe proposed grid-connected SUReS are validated for a sample location at New Delhi (India) with a hybrid optimization model for electric renewable (HOMER) software to define and understand the various load profile. It presents the sensitivity analysis approach to validate the design of the proposed energy system.FindingsThe obtained results reports the key barriers, proposed model and scenarios for sustainable urban energy system development.Research limitations/implicationsSimilar approaches can be replicated to design and develop an independent, self-sustainable cleaner and environmental-friendly energy system in the future scenario for the extension of complex grid infrastructures.Practical implicationsIt will assist the stakeholder in solving the complex urban sustainability issues raised due to the shortage of energy.Social implicationsIt will offer a clean and environment friendly sustainable energy resources with reduced carbon emissions. It will benefit sustainable energy resources with a mix of challenges and opportunities, to suggest an approach for implementation of efficient energy policies to optimize the existing and forthcoming energy systems.Originality/valueThe current research offers a design and model to analyze grid-connected energy system sustainable urban residential applications. It explores the potential of the augmented energy system. The proposed model are validated for a sample location with HOMER simulation software to define and understand various scenarios of the multiple load profile. The work presents the sensitivity analysis approach to validate the proposed energy system.

“Don’t Mess Around with Gordie”: Hockey Violence, the 1959 Gordie Howe-Lou Fontinato Fight, and Postwar Masculinity

This article explores cultural constructions of hockey, violence, and masculinity through a close examination of one of the game’s most successful and prominent players in the postwar period, Gordie Howe. By combining skill and scoring ability with toughness, physicality, and a willingness to fight when necessary, Howe epitomized many qualities of the ideal hockey player over the course of his lengthy professional career, which extended from 1946 to 1980. In particular, this study focuses on media coverage of Howe’s highly publicized fight against Lou Fontinato of the New York Rangers on February 1, 1959. Using Canadian and American newspapers and magazines as the primary research base, we analyze media representations of Gordie Howe in the context of ideals and anxieties related to North American masculinity following the Second World War. Historians have identified this period as a time when Canadian and American manhood was perceived to be in decline. We argue that Howe demonstrated a combination of controlled violence and humble manliness suggested by his early nickname in the Detroit press, the “Bashful Basher.” Howe’s rational and expert application of violence – especially in contrast to the emotional Fontinato – firmly established his masculine credentials within the culture of hockey, while positioning him more widely as a “modern” yet rugged role model for masculine renewal in postwar Canada. Howe’s example of gentlemanly masculinity normalized and celebrated a culture of fighting in hockey while establishing a standard of conduct for superstar players that persists to the present day. At the same time, cultural constructions of Howe’s manhood contributed to the entrenchment of a dominant version of heroic, white, heteronormative hockey masculinity in Canadian life.

Coexpression of ΔNp63/p40 and TTF1 Within Most of the Same Individual Cells Identifies Life-Threatening NSCLC Featuring Squamous and Glandular Biphenotypic Differentiation: Clinicopathologic Correlations

IntroductionDouble occurrence of TTF1 and ΔNp63/p40 (henceforth, p40) within the same individual cells is exceedingly rare in lung cancer. Little is known on their biological and clinical implications. MethodsTwo index cases immunoreactive for both p40 and TTF1 and nine tumors selected from The Cancer Genome Atlas (TCGA) according to the mRNA levels of the two relevant genes entered the study. ResultsThe two index cases were peripherally located, poorly differentiated, and behaviorally unfavorable carcinomas, which shared widespread p40 and TTF1 decoration within the same individual tumor cells. They also retained SMARCA2 and SMARCA4 expression, while variably stained for p53, cytokeratin 5, and programmed death-ligand 1. A subset of basal cells p40+/TTF1+ could be found in normal distal airways. Biphenotypic glandular and squamous differentiation was unveiled by electron microscopy, along with EGFR, RAD51B, CCND3, or NF1 mutations and IGF1R, MYC, CCND1, or CDK2 copy number variations on next-generation sequencing analysis. The nine tumors from TCGA (0.88% of 1018 tumors) shared the same poor prognosis, clinical presentation, and challenging histology and had activated pathways of enhanced angiogenesis and epithelial-mesenchymal transition. Mutation and copy number variation profiles did not differ from the other TCGA tumors. ConclusionsDouble p40+/TTF1+ lung carcinomas are aggressive and likely underrecognized non–small cell carcinomas, whose origin could reside in double-positive distal airway stem-like basal cells through either de novo-basal-like or differentiating cell mechanisms according to a model of epithelial renewal.

Assessment of load and generation modelling on the quasi-static analysis of distribution networks

Quasi-static analysis of power systems can be performed by means of timeseries-based and probability density function-based models. In this paper, the effect of different load and generation modelling approaches on the quasi-static analysis of distribution networks is investigated. Different simplified load and distributed renewable energy sources generation timeseries-based models are considered as well as probabilistic analysis. Moreover, a more sophisticated approach based on cluster analysis is introduced to identify harmonized sets of representative load and generation patterns. To determine the optimum number of clusters, a three-step methodology is proposed. The examined cases include the quasi-static analysis of distribution networks for different operational conditions to identify the simplified modelling approaches that can efficiently predict the network voltages and losses. Finally, the computational efficiency by using the simplified models is evaluated in temperature-dependent power flow analysis of distribution networks.

ИННОВАЦИОННЫЙ АСПЕКТ РАЗВИТИЯ АГРОПРОМЫШЛЕННОГО ПРОИЗВОДСТВА В РЕГИОНАХ РОССИЙСКОЙ ФЕДЕРАЦИИ

The research is devoted to the search for more effective ways of developing the modern Russian agro-industrial complex based on the creation of new tools and models of innovative renewal. The authors proceed from the imperative of the regional development of this economic sector, as the most popular and having established trends that suggest an algorithm for further effective progressive movement. The existing both domestic and foreign experience acquired in this direction is analyzed. It seems to the authors that the algorithms of the system development vectors obtained on the ground can be successfully used, after the application of adaptive smoothing, in most subjects of the Russian Federation. During the study of the material, systematic, complex, situational and process approaches are used, as well as methods of multifactor analysis. The rationale for the competent combination and implementation of the symbiosis of the entire experimental layer accumulated in our country and abroad is given.

DESIGNING INSTITUTIONAL MODELS FOR RENEWABLE ENERGY PROJECT SUSTAINABILITY

Access to adequate, affordable, and reliable energy is one of the first steps to poverty alleviation, especially in the remote areas, to increase productivity, employment, and social welfare of a community. For Yogyakarta, which have no an energy source, developing renewable energy project is a strategic step to make it happen. Many projects have been carried out both to increase the amounts of renewables in the energy mix as well as to electrify remote rural areas. Unfortunately, many of these projects have failed to meet the intended target. Some renewable energy projects experienced low efficiency rates, while other renewable energy systems completely broke down without perspective on repair within only a few years of operation. This study aims to identify the sectors core problems and evaluate various renewable energy projects in order to investigate why some projects prosper, while others fail to have the right effect. Furthermore, a proper institutional model to keep sustainable renewable energy projects will be conducted to increase the productivity of rural businesses. Data obtained by using in-depth observation and Focus Group Discussion to provide answers of the problems faced to explain the phenomenon. SWOT technique used to determine supporting and hindering factors, to formulate the development strategy in achieving the proper of renewable energy project institutional model. Overall, tis research provides some important insights for local government to develop a sustainable renewable energy project.Keywords: Institutional Model, Renewable Energy Project, FGD, SWOTJEL Classifications: Q2, Q3, Q4, Q5.DOI: https://doi.org/10.32479/ijeep.11391

Innovation policy and firm patent value: evidence from China

This study aims to contribute to the empirical literature that evaluates the impact of the Science & Technology (S&T) Outline, a Chinese innovation policy implemented in 2006, measured by the scale of patent value. We first create a comprehensive patent valuation model (CPVM), derived from the extended patent renewal model and a variety of feature indices, to measure a firm’s patent value. From a database with over 700,000 Chinese patents from 1985 to 2013, we find that the patent value increases after the release of the S&T Outline, and the scale of patent value after 2006 is about 26.52 times more than that before 2006. Further, we use a quasi-difference in differences (DID) model to estimate the growth effect caused by the innovation policy. The results indicate that the S&T Outline had a significant effect on the promotion of patent value, in industries with high patent intensity. Considering the lag effect of the S&T Outline, we construct innovation correlation networks to visualise and compare its promotion effect. We find that regional networks have a gathering tendency after policy implementation, while industrial networks have a decentralising tendency.

Optimal Sizing of Isolated Microgrid Containing Photovoltaic/Photothermal/Wind/Diesel/Battery

The establishment of isolated microgrid is of great significance in solving power supply problems in offshore islands or remote mountainous areas. Aiming at the isolated microgrid containing photovoltaic, photothermal, wind, diesel, and energy storage, a three-objective sizing optimization model of the microgrid is proposed considering comprehensive economy cost, deficiency of power supply probability (DPSP), and renewable energy discard rate (REDR). The three-objective sizing optimization model was solved by the improved multiobjective grey wolf optimization algorithm. An island was taken as an example to optimize the sizing of the microgrid, and the rationality of the proposed three-objective model was verified. The feasibility of the improved multiobjective grey wolf optimization (IMOGWO) was verified by comparing with the multiobjective grey wolf optimization (MOGWO). Three representative solution sets and a set of compromise solution sets are obtained by simulation, and the results satisfied the load demand. And the DPSP and the REDR are reduced by 7.55% and 6.29% by using the IMOGWO. The designed and analyzed hybrid renewable energy system model might be applicable to around the world having similar climate conditions.

Advanced Control And Development of Hydro and Diesel Generator Hybrid Power System Models for Renewable Energy Microgrids

The Nigerian power problem resulted to incessant and erratic supply of electricity and this has destroyed many industrial processes in the country. It has reduced productivity and has increased unemployment rate in the country to over 50million (this figure is over 70% of Nigerian youths). This has led many of the youths in the country to crime. It has led to the deaths of many innocent people in the country. As of 2016, the electricity energy consumption in the world from the world fact book revealed that the average power per capita (watts per person) in the United States is 1,377 Watts. In Canada, it is 1704 Watts per person and in South Africa; it is 445 Watts per person and in Australia, average power per capita (watts per person) is as high as 1,112 Watts. Whereas, the average electricity consumed in watts per person in Nigeria is just 14 Watts. Unfortunately, this has put the country in a rank of 189 out of 219 countries estimated. In this research work, a Hybrid Electric Power System (HEPS) which comprises Hydro Electric Power Plant (HEPP) and Diesel Generator (DG) was modelled and a control algorithm was established to improve the performance of the system. Hybrid power system mathematical and Simulink models were developed. The output power of the developed Simulink model was be optimized using optimum power point optimization techniques and control algorithms. Simulink models of the two components of the Hybrid Electric Power System were produced using MATLAB/Simulink software. The develop Simulink models was interconnected and final model was developed. The results obtained revealed that the problems associated with conventional methods of power generation was overcomed by the development of this renewable and non-renewable energy resources Hybrid Electric Power System (HEPS) models.

Investigation of the Optimal Model for the Development of Renewable Energy in Iran using a Robust Optimization Approach

Due to its geographical location, Iran has numerous capacities in renewable energy, and this issue has made the need to develop renewable energy on the authorities’ agenda. This underscores the need to provide an optimal model for developing renewable energy. Therefore, in this study, the main purpose was to provide an optimal renewable energy model. In line with this goal, by choosing the cost function as the objective function and considering the potential constraints of renewable energy (resource constraints), the amount of electricity consumption in each of the 16 electricity regions (demand constraint) and the limitation of renewable energy production coeffi-cient (Technical constraints), the optimal model of renewable energy use was designed and solved using a solid programming model in LINGO software. The optimal model results show 15.19% small hydropower, 24.30% wind energy, 5.52% biomass energy, 6.13% is geothermal energy, 4.79% is tidal energy, and 44.07% solar energy. The optimum portfolio of renewable energy is es-timated in this paper using the robust optimization approach. The results showed which renewa-ble technology has the greater potential to take more share of the energy portfolio. The results of this investigation help policymakers to choose the most suitable renewable technologies to sup-port.

Evaluating surface renewal models for estimating sensible heat flux above and within a coffee agroforestry system

The surface renewal method offers an inexpensive way to estimate the sensible heat flux (H). When combined with measurements of net radiation and soil heat flux, latent heat flux (evapotranspiration) can be estimated indirectly. This study evaluated the performance of two surface renewal models to estimate H in a traditional coffee agroforestry system. The first model (Snyder96) is the commonly used approach in which H is calculated from the average temperature ramp amplitude and duration, which in turn are calculated from the 2nd, 3rd, and 5th order structure functions. The second model (Chen97) is a reformulation of Snyder96 in which H is calculated from the 3rd order structure function and friction velocity (u*). The models were calibrated and evaluated with eddy covariance data. Tests were conducted at three levels (above-canopy, above-coffee, above-ground), with each level having two replicate plots. Both models showed generally good agreement with the observations when using humidity-corrected sonic temperature data. Estimates from Chen97 agreed slightly better with measurements than those from Snyder96. In addition, the results suggest that for Chen97 the same calibration can be used for the above-canopy and above-coffee levels and for positive and negative H. Also for the above-ground level the combined empirical coefficient of Chen97 was similar to those for the other levels, but the variability between plots was too high to draw conclusions. Conversely, the results showed that Snyder96 requires separate calibrations for each level and for positive and negative H. For Chen97, similarly good results were obtained when using frequency response-corrected thermocouple data. For Snyder96, results were also good above the canopy, but not within the canopy, particularly close to the ground. Chen97 needs wind speed to calculate u*. Wind speed is needed for both models if the signals of thicker, stronger thermocouples are corrected for the frequency response error.

Customized product development supported by integrated information

Information systems are key enablers for the integration and reliable management of the product development process. Fast, robust, and cost-efficient product adaptation is especially important in one-of-a-kind production. This paper presents an implementation of information supported tools of the product development (PD) design process for large power transformers. One-of-a-kind production is specific, as each product must be customized, wherefore a robust design process well supported by information technologies (IT) plays a key role in creating a digital twin and the product's final value. Goal of this research was to develop the product information model and smart supporting tools for customization and integrate them into the design process. Based on a systematic analysis of the sample company, this paper proposes a model for the complete renewal of information systems and of working methodology, where reorganization is demonstrated in an increase of overall effectiveness. The results clearly show a considerable drop in engineering changes, increased productivity and improved business competitiveness. The proposed framework is generalized, which makes it directly applicable in similar business environments and thus helpful for establishing the best-practice guidelines for promoting competitiveness in one-of-a-kind PD processes.

Dynamic modelling based on surface renewal theory, model validation and process analysis of rotating packed bed absorber for carbon capture

Rotating packed beds can reduce the equipment size and costs in solvent-based carbon capture. However, difficulties are encountered when modelling rotating packed beds due to turbulent fluid flows inside rotating packed beds and the cross-sectional area of mass transfer unit that changes with radius. This study aims to develop a validated dynamic model of a rotating packed bed absorber and to carry out process analysis through steady state and dynamic simulations. Innovatively, the dynamic model was developed based on surface renewal theory for mass transfer. The model can calculate distributed mass transfer coefficients and other key variables related with absorption performance. Experiments were carried out and new experimental data for the rotating packed bed absorber under realistic operating conditions were obtained for model validation. Process analysis about the effects of key operational variables such as rotating speed, liquid-gas ratio and solvent concentration on absorption performance was performed with benchmark MEA solvent. It was found that the optimal MEA concentration is around 70 wt%. Dynamic simulation results reveal that the RPB absorber has fast responses for process changes. This new distributed dynamic model and the insights obtained through process simulation will promote rotating packed bed technology towards its industrial deployment in large scale carbon capture processes.

La riscoperta dello stile bramantesco, tra istanze storiografiche e prospettive progettuali

In the first decades of the 19th century the rediscovery of the ‘bramantesco’ style assumed a strong local character due to the supposed existence of a ‘Milanese’ ‘bramantesco’ style. This movement consisted in attributing the early stages of Italian Renaissance art to the Lombard culture of the 15th century. The historiographic analysis is associated with episodes of architectural revival episodes in order to capture the first instances of renewal and experiment new models that went beyond the Vitruvian canon adopted in the Brera school. Indeed, the more flexible proportions of the ‘bramantesco style’ were more suitable to the need for variety and modernity of residential architecture, and more appropriate to be used in the standardised production of ornamental terracotta elements.

Renewable Energy Zones in Australia's National Electricity Market

Australia's National Electricity Market (NEM) operates in one of the world's longest and stringiest transmission networks. The 2016–2020 investment supercycle, in which 13,000 MW of renewables were committed, produced a series of adverse side-effects for various new entrants including connection lags, deteriorating system strength and associated remediation costs, and rising levels of generation curtailment. The NEM's Energy Security Board considered a key source of the problem to be market design and consequential geographic congestion of investments. This implies inadequate locational investment signals exist within the NEMs multi-zonal market design. However, diagnosis suggests NEM locational investment signals – which arise through a combination of site-specific Marginal Loss Factors and multi-zonal spot prices – remain visibly strong. Primary problems revealed through an analysis of the 2016–2020 period include policy discontinuity in prior periods. This in turn caused the supercycle, viz. multiple simultaneous entrants under asymmetric investment conditions. Above all, the supercycle revealed the NEM's rapidly diminishing network hosting capacity for new renewables. Markets participants are seeking to expand renewable capacity, and by implication transmission hosting capacity, faster than existing regulatory frameworks allow. A new policy proposal, known as ‘Renewable Energy Zones’ (REZ), represents a promising means by which to accelerate renewable hosting capacity. In this article, REZs are examined through both i). a consumer-funded regulatory model and ii). a renewable generator-funded market model. A ‘super-sized concessional mezzanine’ facility is presented as a critical element of REZ capital funding. It forms the means by which to optimise and accelerate market-based REZ transmission augmentation, and moderate sponsor risks of transient underutilisation.

Testing the Energy-Environmental Kuznets Curve Hypothesis in the Renewable and Nonrenewable Energy Consumption Models in Egypt.

The Environmental Kuznets Curve (EKC) association between income and pollution emissions proxies has been extensively tested in the environmental literature. However, testing of the energy-EKC is scanty. This present research examined the energy–EKC in the cubic relationship of economic growth and different renewable and nonrenewable energy proxies in Egypt from 1965–2019. In the long run, we corroborate the N-shaped relationships in the case of primary energy, oil, and coal consumption models, and confirm the long run energy–EKC association in these energy proxies. Moreover, we find turning points of the N-curve for these energy sources in 1998, 2000, and 1979–2005, in primary energy, oil, and coal consumption models, respectively. Hence, economic growth is responsible for increasing nonrenewable energy consumption and has environmental consequences in Egypt. In the short run, we find N-shaped relationships in the case of primary energy, oil, and coal consumption. Further, we find an inverted U-shaped relationship in the case of natural gas consumption. In addition, we corroborate an inverted N-shaped relationship in the case of hydroelectricity consumption, a renewable energy source. Hence, we confirm the short-run energy–EKC relationship in all investigated renewable and nonrenewable energy proxies.