Total System Research Articles

Elevated Leukocyte Count and Platelet-Derived Thrombogenicity Measured Using the Total Thrombus-Formation Analysis System in Patients with ST-Segment Elevation Myocardial Infarction.

High platelet-derived thrombogenicity during the acute phase of ST-segment elevation myocardial infarction (STEMI) is associated with poor outcomes; however, the associated factors remain unclear. This study aimed to examine whether acute inflammatory response after STEMI affects platelet-derived thrombogenicity. This retrospective observational single-center study included 150 patients with STEMI who were assessed for platelet-derived thrombogenicity during the acute phase. Platelet-derived thrombogenicity was assessed using the area under the flow-pressure curve for platelet chip (PL-AUC), which was measured using the total thrombus-formation analysis system (T-TAS). The peak leukocyte count was evaluated as an acute inflammatory response after STEMI. The patients were divided into two groups: the highest quartile of the peak leukocyte count and the other three quartiles combined. Patients with a high peak leukocyte count (＞15,222/mm3; n=37) had a higher PL-AUC upon admission (420 [386-457] vs. 385 [292-428], p=0.0018), higher PL-AUC during primary percutaneous coronary intervention (PPCI) (155 [76-229] vs. 96 [29-170], p=0.0065), a higher peak creatine kinase level (4200±2486 vs. 2373±1997, p＜0.0001), and higher PL-AUC 2 weeks after STEMI (119 [61-197] vs. 88 [46-122], p=0.048) than those with a low peak leukocyte count (≤ 15,222/mm3; n=113). The peak leukocyte count after STEMI positively correlated with PL-AUC during primary PPCI (r=0.37, p＜0.0001). A multivariable regression analysis showed the peak leukocyte count to be an independent factor for PL-AUC during PPCI (β=0.26, p=0.0065). An elevated leukocyte count is associated with high T-TAS-based platelet-derived thrombogenicity during the acute phase of STEMI.

Current Advances and Applications of Diagnostic Microfluidic Chip: A Review

Background: As a developed technology, microfluidics now offers a great toolkit for handling and manipulating suspended samples, fluid samples, and particles. A regular chip is different from a microfluidic chip. A microfluidic chip is made of a series of grooves or microchannels carved on various materials. This arrangement of microchannels contained within the microfluidic chip is connected to the outside by inputs and outputs passing through the chip. Objective: This review includes the current progress in the field of microfluidic chips, their advantages and their biomedical applications in diagnosis. Methods: The various manuscripts were collected in the field of microfluidic chip that have biomedical applications from the different sources like Pubmed,Science direct and Google Scholar, out of which some were relevant and considered for the present manuscript. Results: Microfluidic channels inside the chip allow for the processing of the fluid, such as blending and physicochemical reactions. Aside from its practical, technological, and physical benefits, microscale fluidic circuits also improve researchers' capacity to do more accurate quantitative measurements while researching biological systems. Microfluidic chips, a developing type of biochip, were primarily focused on miniaturising analytical procedures, especially to enhance analyte separation. Since then, the procedures for device construction and operation have gotten much simpler. Conclusion: For bioanalytical operations, microfluidic technology has many advantages. As originally intended, a micro total analysis system might be built using microfluidic devices to integrate various functional modules (or operational units) onto a single platform. More researchers were able to design, produce, and use microfluidic devices because of increased accessibility, which quickly demonstrated the probability of wide-ranging applicability in all branches of biology.

Supply chain model having stochastic lead time demand with variable production rate and demand dependent on price and advertisement

In this present study, a single-manufacturer and single-retailer supply chain management model are formulated for a single product. This study specifically looks at a supply chain with variable production rate, stochastic lead time demand, and price- and advertisement-dependent demand. By incorporating these complex aspects into a model, which enables to examine their combined effects on supply chain performance, this study adds to the body of knowledge. The study reveals unique insights into the complex interplay between pricing tactics, advertising efforts, production dynamics, and the variability brought on by stochastic lead times through meticulous study and modelling. Finally, the total system profit is calculated and optimized with all the decision variables. A classical approach is performed to obtain the optimized solution of the joint profit function along with the decision variables. Two models are discussed in the study: (1) the model with normally distributed lead time demand and (2) the model with distribution-free lead time demand. The joint profit of the supply chain is found to be lesser by 1% for the normally distributed lead time demand than the distribution free pattern. The comparison of the shipment policies and the safety factors for the different distribution patterns of the lead time demand are shown. Though the huge increment in the safety factor for unknown leadtime demand distribution may help in reducing the uncertainity factor and disruptions in the supply chain, but also it may unnecessarily tie up more capital which can be invested in other sectors of the supply chain.

Abstract 7023: Application of exclusive liquid repellency for low input CUT&Tag histone analyses in prostate cancer spheroids

Abstract Introduction/Background: Epigenetic alterations, including histone modifications and DNA methylation, drive treatment resistance and lethal prostate cancer. However, epigenetic assays typically require thousands of cells and are difficult to scale for patient tumor biopsies. While identifying these alterations is possible in cell lines, these analytes are more difficult to follow in clinical settings. Patient-derived organoids have emerged as viable intermediaries to investigate the changing chromatin landscape during the progression toward treatment-emergent prostate cancer. This report seeks to adapt the Cleavage Under Targets and Tagmentation (CUT&Tag) assay for use on a microfluidic technology to eliminate cell loss associated with complex, multi-step epigenetic assays to facilitate analysis of low input prostate cancer spheroids. Methods: The Oil Immersed Lossless Total Analysis System (OIL-TAS) is an exclusive liquid repellency (ELR) platform that passes magnetic bead-bound analytes through immiscible phases to separate and extract analytes of interest while eliminating traditional centrifugation and wash steps that lead to sample loss. This platform enables adaptation of complex molecular assays such as CUT&Tag for lossless sample manipulation. We focus on the analysis of histone modifications in rare cells utilizing antibodies for H3K27 acetylation and methylation. Comparison of LNCaP prostate cancer cell lines harvested from either 2D cell culture or 3D spheroids was performed to evaluate the sensitivity and specificity of this integrated assay. Results: The macroscale CUT&Tag assay has been performed with inputs of 25,000 nuclei from LNCaP spheroids with greater yields than similar inputs from 2D LNCaP cell culture. Yield increases have also been seen when performing the assay with inputs <10,000 nuclei in microscale on the OIL-TAS relative to the macroscale. Utilizing the OIL-TAS platform with spheroid inputs will allow for more sensitive investigation of histone modifications. Conclusions: Integration of 3D, humanized models of tumor growth into the CUT&Tag assay will enable discovery of differential epigenetic regulation within patient-derived organoids or complex co-culture studies. Establishing baseline epigenetic landscapes among these intermediary models will enable a new platform for drug testing. Utilization of the OIL-TAS platform will allow for miniaturization of the assay down to 1,000 cell inputs and enable multiparametric RNA-seq, EM-seq, and CUT&Tag-seq of the same patient samples for longitudinal study. Citation Format: Zachary J. Kauffman, Kevin Koesser, Kyle T. Helzer, Jamie M. Sperger, Marina N. Sharifi, Chao Li, Erika Heninger, Xavier Hazelberg, Cole Gilsdorf, Shuang G. Zhao, Duane S. Juang, David J. Beebe, Joshua M. Lang. Application of exclusive liquid repellency for low input CUT&Tag histone analyses in prostate cancer spheroids [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7023.

Phantom validation of a novel RSA-based impingement metric to assess component-on-component impingement risk.

Component-on-component impingement in total hip arthroplasty may lead to post-operative complications including dislocation. Despite numerous clinical studies focusing on reducing this risk, assessment methods remain limited to qualitative radiography, finite element analysis, and cadaver studies. There is a need for more precise measurements of impingement in the research setting. We aimed to validate a novel RSA-based impingement metric to measure component-on-component impingement in vivo. A phantom experiment of a standard metal-on-polyethylene total hip system was performed. RSA examinations were performed as typical for a traditional weight-bearing RSA exam for large joints. The phantom was placed in 10 possible impinged positions and one neutral position. Double exposure radiographs were taken to measure repeatability. The closest distance between the skirt of the head and the inner circumference of the acetabular cup liner was measured to assess impingement risk. Distances between the closest point of the hood to the edge of the cup in 10 impinged positions ranged from 0.05 to 1.03 mm, with the average being 0.67 mm. In the neutral position, the distance measured is 11.02 mm. Excellent repeatability was observed, with a standard deviation of 0.03 mm with an r value of 0.09. A validated RSA-based risk metric was established to evaluate in vivo hip impingement. A 1 mm threshold may be proposed to define impingement where distances approaching 1.00 mm are at a greater risk of impingement. This simplified metric holds promise for upcoming clinical studies on component-on-component impingement.

Assessing the impact of renewable energy penetration and geographical allocation on transmission expansion cost: A comparative analysis of two large-scale systems

Ambitious renewable energy development plans require an efficient electricity grid connection of massive generation capacity. Significant transmission network investments are considered necessary to support the energy transition. This paper analyses the transmission grid reinforcement requirements of two large-scale electricity systems with notably different geographical distributions of renewable resource availability and load density. The results indicate that optimal transmission expansion accounts for less than 10% of total annualised system investment (generation capacity + transmission grid). This is true even in transmission systems with significant existing bottlenecks. The study includes a sensitivity analysis of the location of renewable energy source (RES) capacity. The sensitivities examine the impact of varying the concentration of RES in resource-rich areas, as well as the proportion of RES capacity connected at the distribution level. Both sensitivities are evaluated over a common base case scenario. The results show that a higher concentration of RES capacity in resource-rich network zones can more than double the optimal transmission expansion requirements. In contrast, the implementation of distributed generation (DG) leads to the allocation of generation closer to demand centres, resulting in transmission grid savings of up to 30%. These effects are more pronounced in networks where RES capacity is located further away from major demand centres. This is because existing bottlenecks are exacerbated by higher RES concentration and relieved as the share of DG increases.

Performance Evaluation in Macroeconomics based on DEA Malmquist Index with a New Approach for the Efficiency Evaluation in a Two-Stage Process

The goal of this work is to know and evaluate the macroeconomic development progress dynamics based on the Malmquist index by also giving a new and as explicit as possible approach to the evaluative reasoning of the DMUs’ overall performance. The calculation of the DEA (Data envelopment analysis) Malmquist index and of its composing components in coordination with the DMUs’ ranking positions opens up perspectives for a broad comprehensive and evaluative study. Rankings and the Malmquist index are, each in its-self, a performance test. To coordinate these two tests in as organic as possible way, two factors, the so called Z1 and Z2 “statistical” indicators are used in this work. They are expressed as functions (given by the formula, by further calculating the geometric mean of their values) in the evaluation of the overall performance. In this work, the effects of each variable factor are analyzed. A new approach, studied as a two-stage process, is given here. The inserted intermediate variable factors are not simply dealt with as “exogenous” variables fixed in the approach of the two-stage process, but they are considered as included in the total system of the studied variables set (input-output). To interpret the advantages and disadvantages that support the macroeconomic development dynamics, along with the indication of the best practices, the factors that affect the inefficient DMUs are studied. The study covers the 2015-2020 period of time and includes 19 European region countries.

Giant amplification of Berezinskii-Kosterlitz-Thouless transition temperature in superconducting systems characterized by cooperative interplay of small-gapped valence and conduction bands

Two-dimensional superconductors and electron-hole superfluids in van der Waals heterostructures having tunable valence and conduction bands in the electronic spectrum are emerging as rich platforms to investigate novel quantum phases and topological phase transitions. In this work, by adopting a mean-field approach considering multiple-channel pairings and the Kosterlitz-Nelson criterion, we demonstrate giant amplifications of the Berezinskii-Kosterlitz-Thouless (BKT) transition temperature and a shrinking of the pseudogap for small energy separations between the conduction and valence bands and small density of carriers in the conduction band. The presence of the holes in the valence band, generated by intra-band and pair-exchange couplings, contributes constructively to the phase stiffness of the total system, adding up to the phase stiffness of the conduction band electrons that is boosted as well, due to the presence of the valence band electrons. This strong cooperative effect avoids the suppression of the BKT transition temperature for low density of carriers, that occurs in single-band superconductors where only the conduction band is present. Thus, we predict that in this regime, multi-band superconducting and superfluid systems with valence and conduction bands can exhibit much larger BKT critical temperatures with respect to single-band and single-condensate systems.

Comparison of Nutritional Diversity in Five Fresh Legumes Using Flavonoids Metabolomics and Postharvest Botrytis cinerea Defense Analysis of Peas Mediated by Sakuranetin.

Legumes possess several bioactive nutrients, including flavonoids, and the study of the flavonoid profile of legumes is of great significance to human health. Using widely targeted metabolomics, we revealed the flavonoid profiles of five popular fresh legumes: cowpea, soybean, pea, fava bean, and kidney bean. A total of 259 flavonoids were identified, and the flavonoid accumulation patterns of the five legumes were remarkably different. In addition to analyzing common and species-specific flavonoids in the five legumes, we also generalized representative flavonoids of various subclasses. We related these to the health-promoting effects of legumes. Furthermore, legumes' total flavonoid content and antioxidant system activity were also detected. Intriguingly, sakuranetin, the sole flavonoid phytoalexin that can be induced by UV radiation, was detected only in the peas by metabolomics. Meanwhile, we found that UV treatment could significantly increase the sakuranetin content and the postharvest Botrytis cinerea resistance of pea pods. This study provides clues for the target diet, industrial development of legumes, and a new idea for the postharvest preservation of peas.

Organic Nitrogen Effects on Root Architecture in Rice Seedlings

Organic Nitrogen Effects on Root Architecture in Rice Seedlings

Feedback resonance in Fermi–Pasta–Ulam chain

A controlled version of the celebrated Fermi–Pasta–Ulam problem is introduced. The feedback control algorithm based on Speed-gradient approach is proposed and analyzed by extensive computer simulation. It is demonstrated that the feedback controlled system tends to approximate equipartition state much faster than it happens in the open loop (classical) system. Apparently a substantial change in system behavior is achieved with a small intensity control: less than 0.5% of the total system energy. Such a behavior has been observed and analyzed previously for oscillators with one degree-of-freedom (DOF) under the name of feedback resonance (Fradkov A.L., Physica D, 128(1999), 159-168. The results of this paper suggest that feedback resonance phenomenon may be observed in multi-DOF oscillator chains, particularly in FPU chain.

Impact of Small Anaerobic Digester on Household Economy of Bangladeshi Livestock Farmers

An extensive survey was performed covering all the regions of the country to find out the overall impacts of bio-digester on the economy of livestock farmers. Five districts were selected; ten farmers with having bio-digester of 3.2 m3 on average and ten farmers who have no bio-digester were selected from each district. Through direct interviewing and farm monitoring, all farm characteristics, i.e., diurnal biogas production, power generation, cooking time, income and expenditures, farmer’s gross earnings, and manure management practices data were collected accordingly. Descriptive statistics and student t-test was made to express the comparison response of the farms by using XL and SPSS software. It was observed that the owners of anaerobic digesters earned significantly (p < 0.001) more than the traditional farmers by selling animals and biogas (1715 & 306; 1146 & 0.00 USD, respectively). Not only that, by selling milk and fresh manure, the owners of bio-digester harvested more (p < 0.05) annual income than non-bio-digester farmers (4162, 3408 & 60.91, 44.63 USD, respectively). Though the expenditure of farmers having digester was high, but in a single fiscal year, they earned more (p < 0.05) profit than the conventional farmers (USD 4329 & 2842, respectively). However, owners of bio-digester used 67.2 % of their produced manure for gas production. Regarding storing manure as biomass and using it for cooking purposes significant difference (p < 0.001) was observed that was also reflected in the total manure management system of a farm. The farmers having no bio-digester stored 71.95% of their total manure in solid form, whereas the farmers who had bio-digester only stored 20.4% of their manure, which made a significant (p < 0.001) difference. From the biogas chamber, in an average one farmer used a gas stove for 4-5 hours and a gas lamp for 6-8 hours, which saved at least the expenditure of 18 USD per month/household. The notable thing was that the bio-digester alone contributed 7% to those farmers’ gross economy by producing gas. It can be recommended that the rural householders could generate power by installing bio-digester and turn a small bio-digester as a beneficial avenue of their household economy.

T-TAS® 01 as a new tool for the evaluation of hemostasis in thrombocytopenic patients after platelet transfusion.

Current laboratory tests fail to evaluate the hemostatic function of platelets in patients with thrombocytopenia. We investigated the use of the Total Thrombus-Formation Analysis System (T-TAS® 01 [Fujimori Kogyo Co, Tokyo, Japan]) to evaluate hemostasis under conditions of experimental thrombocytopenia, and in patients before and after platelet transfusion. Specific T-TAS 01 chips, for thrombocytopenic conditions, were used. The area under the curve (AUC) and occlusion time (OT, min) were measured in: (i) experimentally induced thrombocytopenia (183±15 to 6.3±1.2×103 platelets/μL) in blood samples from healthy donors (No.=13), and (ii) blood from oncohematological thrombocytopenic patients (No.=48), before and after platelet transfusion. The influences of hematocrit and number of transfusions were analyzed in these patients. Progressive reductions of AUC and prolongations of OT related significantly to decreasing platelet counts (p<0.05 for all) in experimental thrombocytopenia. In samples from thrombocytopenic patients, platelet counts, AUC and OT were, respectively, 10.8±0.6×103/μL, 175.2±59, and 27.2±1 min before transfusion; and 22±1.5×103/μL, 400.8±83 and 22.9±1.5 min after platelet transfusion (p<0.01 for all). A hematocrit below 25% or exposure to ten or more previous platelet transfusions had a negative impact on the T-TAS 01 performance in patients. In vitro correction of the hematocrit improved the hemostatic response in thrombocytopenic patients. T-TAS 01 measurements were sensitive to low platelet counts in the experimental setting. The technology was sensitive to evaluate the hemostatic capacity of platelet transfusions. Exposure to multiple medications, repeated platelet transfusions and lower hematocrits may interfere with the hemostatic performance in oncohematological patients with thrombocytopenia.

On the Efficiency Impacts of Berthing Priority Provision

Facing intensified interport competition in the global container shipping market, an increasing number of ports choose to offer berthing priority for carriers to increase their attractiveness. This study is the first to theoretically analyze the efficiency impacts of such prioritization. Specifically, this study models the steady-state dynamics for each terminal in a biterminal port as a prioritized queuing system. We explore the equilibrated shipping flow distribution and resulting total system cost (i.e., bunker consumption cost and waiting time cost) with and without priority provision, along with their major analytical properties. Then, we examine the “second-order” effects of these priority schemes on just-in-time (JIT) arrivals, an increasingly popular green port management tool. Specifically, we investigate how the equilibrium state associated with JIT arrivals could change with priority berthing. These analyses generate some interesting results, including (1) the total system cost increases or remains unchanged when a priority scheme is implemented under a symmetric port with equal service capacities for both terminals; (2) under the asymmetric biterminal case, however, it is also possible that berth prioritization could reduce the total system cost, and such phenomenon occurs only if the terminal which offers prioritization owns larger service capacity; (3) the results indicate that the “price of prioritization” could reach [Formula: see text] in port operation when the berth loading is heavy, implying that priority provision may significantly harm the operational efficiency; and (4) lastly, priority provision has a negative second-order effect on JIT strategies in a symmetric port, and such negative effect may neutralize the positive ones. Those theoretical results are validated by numerical experiments, and some of them are also supported by empirical data. The results provide important practical implications for the decision making of the port (or terminal) agencies. Funding: This work was supported by the National Natural Science Foundation of China [Grants 72371143 and 72188101]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2022.0411 .

Probing Non-Covalent Interactions through Molecular Balances: A REG-IQA Study.

The interaction energies of two series of molecular balances (1-X with X = H, Me, OMe, NMe2 and 2-Y with Y = H, CN, NO2, OMe, NMe2) designed to probe carbonyl…carbonyl interactions were analysed at the B3LYP/6-311++G(d,p)-D3 level of theory using the energy partitioning method of Interacting Quantum Atoms/Fragments (IQA/IQF). The partitioned energies are analysed by the Relative Energy Gradient (REG) method, which calculates the correlation between these energies and the total energy of a system, thereby explaining the role atoms have in the energetic behaviour of the total system. The traditional "back-of-the-envelope" open and closed conformations of molecular balances do not correspond to those of the lowest energy. Hence, more care needs to be taken when considering which geometries to use for comparison with the experiment. The REG-IQA method shows that the 1-H and 1-OMe balances behave differently to the 1-Me and 1-NMe2 balances because the latter show more prominent electrostatics between carbonyl groups and undergoes a larger dihedral rotation due to the bulkiness of the functional groups. For the 2-Y balance, REG-IQA shows the same behaviour across the series as the 1-H and 1-OMe balances. From an atomistic point of view, the formation of the closed conformer is favoured by polarisation and charge-transfer effects on the amide bond across all balances and is counterbalanced by a de-pyramidalisation of the amide nitrogen. Moreover, focusing on the oxygen of the amide carbonyl and the α-carbon of the remaining carbonyl group, electrostatics have a major role in the formation of the closed conformer, which goes against the well-known n-π* interaction orbital overlap concept. However, REG-IQF shows that exchange-correlation energies overtake electrostatics for all the 2-Y balances when working with fragments around the carbonyl groups, while they act on par with electrostatics for the 1-OMe and 1-NMe2. REG-IQF also shows that exchange-correlation energies in the 2-Y balance are correlated to the inductive electron-donating and -withdrawing trends on aromatic groups. We demonstrate that methods such as REG-IQA/IQF can help with the fine-tuning of molecular balances prior to the experiment and that the energies that govern the probed interactions are highly dependent on the atoms and functional groups involved.

The Optimized Deployment of Service Function Chain Based on Reinforcement Learning

With the rapid development and application of technologies such as artificial intelligence, the Internet of Things, and cloud computing, data is showing explosive growth. In order to address the rising energy consumption due to the increasing number of devices in the traditional network architecture, software-defined networking and network function virtualization have been proposed. In this paper, we propose a reinforcement learning model based on actor-critic architecture. The service function chain deployment problem is mathematically modeled, and minimizing the total service function chain delay is taken as the optimization objective. The experimental results demonstrate that the service function chain deployment algorithm proposed in this paper is improved in terms of total system latency.

Research on collaborative innovation cooperation strategies of manufacturing digital ecosystem from the perspective of multiple stakeholders

The digital ecosystem has hastened the fusion of manufacturing and digital technology in realizing product and service value. However, due to the coordination dilemmas within the digital ecosystem such as risk sharing, competition and cooperation among stakeholders, this study aims to explore the collaborative innovation cooperation strategies of multiple stakeholders, and to investigate the interaction effects of differential incentives on each other's strategies. By constructing a dynamic differential game model, this study solves the optimal innovation efforts, digital servitization levels and innovation benefits under different cooperation intensities, and analyzes the influence of various factors on the total innovation benefits of the digital ecosystem. It is found that under different decision-making modes, the influence of incentive subsidy coefficient and cost-sharing coefficient on the innovation efforts and innovation benefits of multiple stakeholders is different. Under the decentralized decision-making mode, the incentive mechanism positively promotes the innovation efforts of both parties of cooperative enterprises, while the local government is not affected, while under the centralized decision-making mode, the incentive mechanism positively affects the innovation efforts and innovation benefits of all three parties. Specifically, under the Stackelberg game, both the innovation efforts and innovation benefits achieve Pareto improvement, while under the cooperative game, the total system innovation benefits reach Pareto optimality and the optimal strategy is realized. In addition, an optimal range exists for the benefit distribution coefficient and the policy guidance coefficient. Furthermore, factors like the cooperative benefit impact coefficient, innovation capability coefficient, and policy guidance coefficient have a positive effect on the total system innovation benefits. Conversely, factors like the discount rate, technology decay coefficient, and innovation input coefficient inhibit the growth of the total system innovation benefits. The value provides theoretical support for collaborative innovation cooperation in the digital ecosystem, thus facilitating the progress of digital transformation in manufacturing.

Multi-Objective Robust Optimization of Integrated Energy System with Hydrogen Energy Storage

A novel multi-objective robust optimization model of an integrated energy system with hydrogen storage (HIES) considering source–load uncertainty is proposed to promote the low-carbon economy operation of the integrated energy system of a park. Firstly, the lowest total system cost and carbon emissions are selected as the multi-objective optimization functions. The Pareto front solution set of the objective function is applied by compromise planning, and the optimal solution among them is obtained by the maximum–minimum fuzzy method. Furthermore, the robust optimization (RO) approach is introduced to cope with the source–load uncertainty effectively. Finally, it is demonstrated that the illustrated HIES can significantly reduce the total system cost, carbon emissions, and abandoned wind and solar power. Meanwhile, the effectiveness of the proposed model and solution method is verified by analyzing the influence of multi-objective solutions and a robust coefficient on the Chongli Demonstration Project in Hebei Province.

Optimization Study of Grid Access for Wind Power System Considering Energy Storage

This study gives an optimized study with details discussion of the access of wind power grid systems and the energy storage that is high in demand in recent days. The wind power system is a renewable energy resource that can help to meet the need or crisis of energy related to the fuel resources that are being increased in recent times. This is also helpful where energy access related to the power supply is difficult. This may also help the places where the shortage of energy and power supply is faced. There are some issues that are faced at different times that are related to the maintenance and handling of the power grid of the wind turbines. The technical process of handling the machines and the one-time cost of investment on it at the first time is also difficult. There are some benefits of the wind power grid with high energy storage capacity that may help to fulfill the demand for energy that is the main issue of the total system of power supply nowadays. The issues should be mitigated with the help of expert and at the coastal area where there is plenty of continuous flow of wind may be helpful with supply of power supply with wind. These advanced systems hold the potential to mitigate the pervasive energy demand issues plaguing contemporary power supply systems. By expertly addressing these challenges and strategically locating wind power grids, especially in coastal areas with consistent wind flow, the dependable supply of electrical energy can be significantly enhanced, thereby offering an effective solution to the prevailing energy supply challenges of our time.

The impacts of local wind power objection on the power system of the Midcontinent Independent System Operator area

Using the Regional Energy Deployment System (ReEDS) model, we estimate the deadweight loss imposed by county-level wind power development restrictions in the form of increased electricity costs due to suboptimal siting. This is accomplished by optimizing the power system of the United States' Midcontinent Independent System Operator (MISO) from 2020 to 2050. We perform the optimization with and without land-use constraints arising from simulated potential local ordinances restricting wind power development, and under multiple scenarios reflecting different renewable portfolio standards (RPS). We find that local restrictions on wind power increase the total system cost by 0.15%–0.3% and the wholesale electricity price by 1.8%–2.7%, depending on the RPS scenario. Changes in the generation and installed capacity mixes are more substantial and depend on both the level of county restrictions on wind power, and RPS requirements, thus indicating an interaction between RPS requirements and local wind power restrictions. We also find that plausible restrictions on wind development do not pose major barriers to meeting renewable energy targets in a cost-effective manner.