Overflow Conditions Research Articles

Modeling and Simulation of Phase Change Memory Using Digital Logic Implementation Approach

Phase Change Memory (PCM) adapts to space utilization and bit storage for displaying amorphous or crystalline states. This change of state relies on the nature of the information and its non-volatility period. As is well known Digital Logic operations are influential over memory modeling, this article introduces a Propagative Adaptability Decision Module (PADM) using DL. This module is utilized based on the information non-volatility across overflow and underflow memory conditions. This utilization-based classification induces the digital logic influence by swapping the states that are robust for further propagative adaptability. This means the possible logical combinations of 0’s and 1’s are used for deciding the states of PCM. The logical operations using OR and NOT are used for reducing overflows whereas the AND and NOT combinations are used for preventing underflows. This reduces the volatility show-up in two distinct phases of memory utilization. Therefore, the 0 and 1 combinations are validated for all the logical operations to ensure propagative memory swapping for balancing the overflow and underflow conditions. This process does not mark up the highest 1 or 0 combination individually due to state changes. The proposed module is validated using swapping rate, time, complexity, and overflow conditions.

Model Predictive Control for water management of a two-reservoir hydroelectric power plant

In the present work, model predictive control techniques are applied to the water management of a two-reservoir hydropower plant. The availability of forecasts on water requests by the hydroelectric plant was assumed and this motivated the adoption of a model predictive control approach. Ad hoc model mismatch compensation strategies has been developed which takes into account for unknown and unmeasured water flows and model uncertainties. The MPC strategy has been designed based on first principles linear model equations and on assigned control specifications. MPC parameter tuning is suitably adapted to the occurrence of specific state conditions, thus enabling optimal management of conditions of possible reservoir overflow, limiting water wastage while ensuring prompt reaction to possible variation in water demand related to the hydropower production plan. The reliability of the proposed approach has been tested through tailored simulation experiments, taking into account different significant scenarios.

Effect of the spatial location of boundary on colour overflow in Gamut conversion

The colour gamut is an important indicator of the colour performance of a terminal display. Due to the variety of gamut standards and display devices, it is often necessary to convert the gamut to achieve a standardised display when using a terminal to display an image, but gamut conversion can lead to many problems such as colour overflow. This paper examines the problem of colour overflow in gamut conversion for terminal displays. First, a gamut model of the terminal display is established based on the CIE colorimetric principles, and the gamut conversion principles are briefly described based on the gamut model. Secondly, the geometric representation of the gamut boundary surface is obtained by Bessel fitting of the gamut boundary. On this basis, the geometric relationship between the boundary surface of the target colour gamut and the original colour gamut is analysed, the causes and conditions of overflow are analysed, and the overflow ratio is calculated to provide theoretical guidance for the correction of colour overflow in the process of colour gamut conversion of the display terminal.

Investigating the Seepage Characteristics of an Open-Graded Friction Course Using Finite Element Modeling

An open-graded friction course (OGFC) is an asphalt mixture designed with a large air void (AV) content that provides enhanced drainage capability at the surface. The main objectives of this study were to investigate the impacts of selected factors (i.e., the OGFC thickness and coefficient of permeability, the permeability of the underlying layer, and traffic loading) on the drainage characteristics of the OGFC, develop a quantitative tool to simulate the deterioration in the functional performance of the OGFC, and propose new guidelines for the AV content of OGFC for optimum functionality. To this end, a three-dimensional finite element (FE) model was developed to evaluate the impacts of OGFC permeability, OGFC layer thickness, underlying layer permeability, rain intensity, and traffic volume on the seepage characteristics of OGFC pavements. The impacts of these factors were evaluated by calculating the time at which the OGFC surface reaches overflow condition ( TC). Statistical analysis of the results showed that all considered factors had a significant impact on OGFC seepage characteristics, except OGFC permeability. In addition, an artificial neural network (ANN) model was developed to predict TC without the need for FE modeling. Results indicated that the ANN model predicted TC accurately with R2 values of 0.99 and 0.98 in the training and validation stages, respectively. The results also indicated that the model accurately predicted TC over time for OGFC pavements with a root-mean-square error of less than 5.0%. Simulation runs were conducted using the developed FE model under different OGFC AV content conditions and rain intensities. Results revealed that an OGFC layer with an AV content of 16% would provide adequate drainage performance while minimizing OGFC durability issues.

An evaluation of GPR monitoring methods on varying river ice conditions: A case study in Alaska

Ice roads and bridges across rivers, estuaries, and lakes are common transportation routes during winter in regions of the circumpolar north. Ice thickness, hydraulic hazards, climate variability and associated warmer air temperatures have always raised safety concerns and uncertainty among those who travel floating ice road routes. One way to address safety concerns is to monitor ice conditions throughout the season. We tested ground penetrating radar (GPR) for its ability and accuracy in measuring floating ice thickness under three specific conditions: 1) presence of snow cover and overflow, 2) presence of snow cover, and 3) bare ice, all common to Interior Alaska rivers. In addition, frazil ice was evaluated for its ability to interfere with the GPR measurement of ice thickness. We collected manual ice measurements and GPR cross-sectional transects over 2 years on the Tanana River near Fairbanks, Alaska, and for 1 year on the Yukon River near Tanana, Alaska. Ground truth measurements were compared with ice thickness calculated from an average velocity model created using GPR data. The error was as low as 2.3–6.4% on the Yukon River (Condition 3) and 4.6–9.5% on the Tanana River (Conditions 1 and 2), with the highest errors caused by overflow conditions. We determined that certain environmental conditions such as snow cover and overflow change the validity of an average velocity model for ice thickness identification using GPR, while frazil ice accumulation does not have a detectable effect on the strength of radar reflection at the ice-water interface with the frequencies tested. Ground penetrating radar is a powerful tool for measuring river ice thickness, yet further research is needed to advance the ability of rural communities to monitor ice thickness using fewer time-intensive manual measurements to determine the safety of ice cover on transportation routes.

Enhanced boiling heat transfer of HFE-7100 on copper foams under overflow conditions

Boiling of dielectric liquids on structured surfaces is a powerful option for thermal management of electronic devices, whose cooling performance depends strongly on liquid supply and vapor departure. Herein, saturation boiling of HFE-7100 on copper foams with a pore density of 30 pores per inch (PPI) under overflow conditions is proposed to enhance liquid supply and facilitate vapor departure. Liquid HFE-7100 is fed to the copper foam by a peristaltic pump and un-vaporized liquid is discharged by gravity. The higher flowrate leads to higher critical heat flux (CHF) and heat transfer coefficient (HTC) only if the copper foam is not flooded. Visual observations reveal evolution of vapor bubbles with heat flux on the copper foam under overflow conditions. Dependence of CHF and HTC on foam thickness is experimentally evaluated and an optimal thickness of 4.7 mm is derived from the experimental data. The optimal foam thickness is related to submergence level of bulk flow and capillary height. CHF and HTC are enhanced by the forced liquid supply in combination with the reduced hindrance of hydrostatic pressure to vapor departure, reaching 860 kW m−2 and 47.3 kW m−2 K−1, respectively. The overflow boiling offers an efficient way to improve heat transfer of boiling on porous medium for efficient thermal management.

Liquid nitrogen cooling, control and monitoring system for the ELIADE HPGe clover detectors at ELI-NP

We present a liquid nitrogen (LN2) cooling station for the high-purity germanium (HPGe) segmented clover detectors of the ELI-NP Array of DEtectors (ELIADE) spectrometer, including its associated filling control and monitoring systems, all designed and built in-house at Extreme Light Infrastructure - Nuclear Physics (ELI-NP), Măgurele, Romania. The automated LN2 filling process is controlled by a CompactRIO (cRIO) system from National Instruments through a custom LabVIEW software used for monitoring both the internal germanium crystal temperatures as well as the temperatures of external Pt100 sensors (used for detection of overflow of LN2 from detectors during a filling process). The detectors are filled with LN2 by opening their individual filling valves (which are mounted on the cooling station) and the process is automatically stopped once an overflow condition is fulfilled by the corresponding external Pt100 sensor located downstream. A twelve-hour cycle is used to periodically fill all of the detector dewars and keep their germanium crystals cool at all times. The associated Graphic User Interface (GUI), Command Line Interface (CLI) and Text User Interface (TUI) are used for both controlling and monitoring the above mentioned process. Alert and warning email messages were also enabled via the cRIO system so that users can be alerted in real-time in the event of any cooling malfunction. In this way, any issues related to the cyclic filling procedure, as well as any abnormal observations regarding the germanium crystal temperatures can be quickly and efficiently addressed before the detectors have a chance to warm back up to room temperature. Temperature data of all the Pt100 sensors corresponding to detectors as well as to the solenoid valves are made available in an influx database by the cRIO control system. The web application Grafana access the database and plots them in real-time for online monitoring.

Efficient Power Grid Management Using Sliced-Based Mechanism for Systematic Allocation of Solar Energy Resources: A Conceptual Framework

The over-population and the limited energy resources have puzzled the government and private organizations to think about the providence of non-stop energy resources to the industries, hospitals, smart homes, and shopping malls to ensure normal routine activities. To accept this challenge, some researchers put their efforts into generating energy from renewable energy resources (solar, fossil fuels, wind turbines, geothermal energy, and many others) to fulfill the needs of life. While some researchers worked on the efficient utilization of the available energy resources to save the energy for future generations. Inspiring from the second approach, this research work has proposed a systematic allocation of energy resources using the slice-based mechanism in a smart grid environment. This research framework using a hybrid model comprises long short-term memory (LSTM), and a support vector machine (SVM), where the LSTM classifies different energy requests (for allocation of energy resources) while the SVM accomplishes the statistical analysis (to estimate the number of solar energy resources allocated and for a specific interval of time). This need-based allocation of energy resources will not only assist in saving energy resources for future use, but will also improve the life of the power grid and other electric appliances (due to over-usage and burning). The applicability of this model is validated by testing it on a real-time scenario like slice failure conditions, slice overflow conditions, a huge number of requests, and alternate slice allocation conditions. Furthermore, the incoming request classification is also validated based on its accurate identification using a confusion matrix, varying number of hidden layers, accuracy, and time consumption. The outperformance of the selected based on these scenarios and validation metrics reflects the applicability of this framework. Moreover, this framework will assist in reducing overbilling charges and energy savage for future generations due to its need-based allocation of energy resources assignment capabilities.

A New inversion method of the initial state of Annulus in killing.

Blowout is a major safety concern for well control in oil and gas well engineering and well killing is an important technical means to avoid blowout. Mastering the initial state of the wellbore is the basis to ensure well killing. The traditional gas column model cannot effectively explain the development law of wellbore pressure. Therefore, this paper is based on the actual killing conditions and the principle of gas-liquid two-phase flow. This paper establishes the physical model and mathematical model of the initial state of the wellbore annulus under overflow conditions. By means of the finite difference method and cyclic iteration calculation, the initial state of the wellbore annulus can be accurately inverted, and the calculation results are verified by an example. The results show that, when the wellhead pressure is determined, the wellbore pressure distribution and annular air phase distribution are more reasonable and the initial length of the overflow section is larger, the calculation results of the inversion method are closer to the actual engineering situation. The findings of this study can help to better understand wellbore state before killing and provide a theoretical basis for optimizing killing parameters, which is of great significance for avoiding well control safety risks during killing.

Application of AI Approaches to Estimate Discharge Coefficient of Novel Kind of Sharp-Crested V-Notch Weirs

In this study, the hydraulic features of the SCVW (a novel type of sharp-crested V-notch weirs) were scrutinized in the popular vertex angles θ, i.e., 30°, 45°, 60°, 90°, 120°, 128°, and 150°, under aerated, steady and free overflow conditions in an open channel for large physical models. To assess the changes of the discharge coefficient of the SCVW (i.e., CdSCVW) versus weir height and θ, widespread laboratory works were performed by measuring the water head over the crest of the weir and the discharge. Special formulas for the CdSCVW in the θ=60° were checked, and an appropriate empirical equation was recommended. The calculated CdSCVW by the proposed equation was within 0%–10% of the measured values. Three types of nonparametric artificial intelligence (AI) methods, namely, support vector regression (SVR), gene expression programming (GEP), and a robust hybrid model entitled hybrid (SVR-ACO) were developed to estimate the CdSCVW. For the sake of modeling, 196 experimental datasets were applied in the mentioned methods to evaluate the CdSCVW by taking into consideration the dimensionless variables which impact the determining procedure of the CdSCVW. In this modeling, by varying the architecture and core factors of the aforementioned methods, several scenarios were defined. The generated mathematical equation of CdSCVW by the best scenario of the GEP was compared with the corresponding measured values in which the results were in 0%–10%. According to the attained statistical indices, scatter plots, and the values of the total grade (TG) technique, the hybrid SVR(RBF)-ACO model was determined as the superior and optimal method to estimate the CdSCVW with high performance and accuracy.

Study on the Relation between Tailing Particle Size and Tailing Slurry Underflow Concentration

In order to study the effect of the physical properties of tailings on the concentration of tailing slurry underflow, the median particle size, control particle size, and density of the tailings of 9 typical mines were measured. Besides, static settlement test and dynamic thickening test of the tailing slurry of these 9 mines were separately conducted. The test results show that the underflow concentration of the tailing slurry is unrelated to the tailing density but is related to the tailing particle size. The finer the tailing particle size, the lower the underflow concentration. Through the nondimensional regression analysis, 3 relation equations were obtained: number 1 relation equation between the median particle size of tailings and the underflow concentration in the static settlement test, number 2 relation equation between the control particle size of tailings and the change in concentration in the static settlement test, number 3 relation equation between the underflow concentration in the static settlement test and the underflow concentration in the dynamic thickening test under different overflow water solid content conditions. Comparing the calculation results with the test results, it is found that the relative error between the predicted value and the test value does not exceed 6.1%, which has proved that the relation equations derived are convenient and feasible. The underflow concentration of the deep cone thickener can be predicted by merely measuring the particle size of the tailings, which means that the relation equations are highly recommended for wider use and application.

越流状態における流下方向に不連続的植生群落を伴う開水路流の流動機構

愛知県の郷瀬川，新郷瀬川では，河道内に環境水制工を並列および千鳥状に配置することで，多様な流れ場の創出を図った工法を採用している．本研究ではそれらの植生配置を参考に，室内開水路にて流下方向に不連続的な植生群落を並列状，千鳥状および片岸に配置し，三次元乱流構造や運動量輸送特性といった流動機構に関して，越流状態を対象に解析した．その結果，流下方向に非植生域を有する影響により二次流特性が流下方向に変化し，植生高さ以上の位置では移流効果が高いことが認められた．また，千鳥および並列配置において，運動量輸送は乱れに比べ移流による運動量輸送が卓越することを明らかにし，植生帯周辺における運動量輸送特性が流れの抵抗特性の大小関係に影響を及ぼすことが示唆された．

A Model for Tilting Pad Thrust Bearings Operating With Reduced Flow Rate—Do Benefits Outweigh Risks?

Abstract The literature on tilting pad thrust bearings (TPTB) calls for flow reduction as an effective means to reduce drag power losses as well as oil pumping costs. However, the highest level of flow reduction a bearing can undergo while maintaining reliable operation is a key question that demands comprehensive analysis. This paper implements a model into an existing thermo-elasto-hydrodynamic (TEHD) computational analysis tool to deliver load performance predictions for TPTBs operating with reduced flow rates. For bearings supplied with either a reduced flow or an overflow conditions, a sound model for the flow and thermal energy mixing in a feed groove determines the temperature of the lubricant entering a thrust pad. Under a reduced flow condition, the analysis reduces the effective arc length of a wetted pad until matching the available flow. Predicted discharge flow temperature rise and pad subsurface temperature rise from the present model match measurements in the archival literature for an eight-pad bearing supplied with 150% to 25% of the nominal flow rate, i.e., the minimum flow that fully lubricates the bearing pads. A supply flow above nominal rate increases the bearing drag power because the lubricant enters a pad at a lower temperature, and yet has little effect on a thrust pad peak temperature rise or its minimum film thickness. A reduced flow below nominal produces areas lubricant starvation zones, and thus the minimum film thickness substantially decreases while the film and pad's surface temperature rapidly increase to produce significant thermal crowning of the pad surface. Compared to the bearing lubricated with a nominal rate, a starved flow bearing produces a larger axial stiffness and a lesser damping coefficient. A reduction in drag power with less lubricant supplied brings an immediate energy efficiency improvement to bearing operation. However, sustained long-term operation with overly warm pad temperatures could reduce the reliability of the mechanical element and its ultimate failure.

The value of transvaginal 4-dimensional hysterosalpingo-contrast sonography in predicting the necessity of assisted reproductive technology for women with tubal factor infertility.

More than 50 million women suffer from infertility worldwide, among whom 30% have associated fallopian tube pathology. Fortunately, the diagnostic accuracy of tubal patency has been enhanced with the consistent development of ultrasound imaging technology, especially the invention of transvaginal 4-dimensional hysterosalpingo-contrast sonography (TV 4D HyCoSy). However, detailed imaging data for evaluating the tubal condition for spontaneous conception and assessing the necessity of assisted reproductive technology (ART) have yet to be amassed. Patients with tubal factor infertility (TFI) who received TV 4D HyCoSy were recruited for this study. They were divided into two groups according to the method of conception: the natural pregnancy group (patients who naturally conceived within 3 months after TV 4D HyCoSy) and the assisted reproduction group (patients who failed to conceive naturally within the 3 months but successfully conceived through ART). Logistic regression analysis was performed to examine the data obtained from participants' medical history and TV 4D HyCoSy investigation. Of the initial 1,433 women, 348 were excluded due to exclusion criteria or lack of follow-up. A total of 1,085 TFI patients were finally included, with individuals in the natural pregnancy group accounting for 27.74% (n=301), and those in the ART group accounting for 37.33% (n=405). The age was younger and the duration of infertility was shorter in the group of women who conceive spontaneously after TV 4D HyCoSy (P<0.05). In terms of imaging data, their endometrial thickness was thinner, right fallopian tube wall was more intact, morphology of the right fallopian tube was smoother, and their ovarian motility (bilateral), fallopian tube visualization (bilateral) and overflow condition of the contrast agent from the fimbriae of fallopian tube (bilateral) were better. In addition, the resistance of the contrast agent injection was less likely to be persistent, reflux was less likely to happen and 0/1 dispersion of the contrast agent around the ovary (bilateral) were more likely to be annular (P<0.05). The imaging data gathered from TV 4D HyCoSy in TFI patients were comprehensive, which suggested that TV 4D HyCoSy could have potential to be used to assess the necessity of post-HyCoSy ART intervention in patients with TFI. This could be of benefit in reducing the incidence of overtreatment and potential complications of ART.

Using a hybrid artificial intelligence approach to estimate length of the hydraulic jump caused by novel kind of Sharp-Crested V-notch weirs

In this study, the SCVW (a novel type of Sharp-Crested V-notch weirs) is employed for more experimentally and theoretically investigations. The length of the hydraulic jump at downstream of the SCVW (LjSCVW) is measured via new supplementary experimental datasets via most popular vertex angles θ (128° and 60°). The experiments are conducted under aerated, steady, and free overflow conditions in an open channel for large physical models. To assess the variations of LjSCVW versus the θ, extensive laboratory work is performed at different discharges (Q), diverse triangular segments number (Nst) in the SCVW, and various tailgate angles (ɸ). Via dimensional analysis and pre-processing method, most effectual parameters on the LjSCVW were obtained as Fr1 (approaching Froude number), Re1 (incoming Reynolds number), and (relative sequent depths). Based on the experimental results, by increasing the values of Fr1 and Re1, the values of LjSCVW noticeably increased. Three types of data-driven models (DDMs), namely, support vector regression (SVR), gene expression programming (GEP), and a robust hybrid model entitled hybrid (SVR-ACO) are developed to estimate the LjSCVW. The suggested hybrid model is a coupled form of SVR with ant colony optimization (ACO) algorithm, which is used to enhance the estimation precision of the LjSCVW. According to the attained statistical indices (determination coefficient (R2) = 0.98, root mean square error (RMSE) = 0.191, and value of total grade (TG) = 19.78) and scatter plots, the hybrid SVR-ACO model was determined as the most superior method to estimate the LjSCVW with high accuracy.

A Study on Protection Measure for Water Level Fluctuation and Overflow Conditions in Earth-filled Embankment by Centrifuge Model Tests

A Study on Protection Measure for Water Level Fluctuation and Overflow Conditions in Earth-filled Embankment by Centrifuge Model Tests

RASSLE: Return Address Stack based Side-channel LEakage

Microarchitectural attacks on computing systems often stem from simple artefacts in the underlying architecture. In this paper, we focus on the Return Address Stack (RAS), a small hardware stack present in modern processors to reduce the branch miss penalty by storing the return addresses of each function call. The RAS is useful to handle specifically the branch predictions for the RET instructions which are not accurately predicted by the typical branch prediction units. In particular, we envisage a spy process who crafts an overflow condition in the RAS by filling it with arbitrary return addresses, and wrestles with a concurrent process to establish a timing side channel between them. We call this attack principle, RASSLE 1 (Return Address Stack based Side-channel Leakage), which an adversary can launch on modern processors by first reverse engineering the RAS using a generic methodology exploiting the established timing channel. Subsequently, we show three concrete attack scenarios: i) How a spy can establish a covert channel with another co-residing process? ii) How RASSLE can be utilized to determine the secret key of the P-384 curves in OpenSSL (v1.1.1 library)? iii) How an Elliptic Curve Digital Signature Algorithm (ECDSA) secret key on P-256 curve of OpenSSL can be revealed using Lattice Attack on partially leaked nonces with the aid of RASSLE? In this attack, we show that the OpenSSL implementation of scalar multiplication on this curve has varying number of add-and-sub function calls, which depends on the secret scalar bits. We demonstrate through several experiments that the number of add-and-sub function calls can be used to template the secret bit, which can be picked up by the spy using the principles of RASSLE. Finally, we demonstrate a full end-to-end attack on OpenSSL ECDSA using curve parameters of curve P-256. In this part of our experiments with RASSLE, we abuse the deadline scheduler policy to attain perfect synchronization between the spy and victim, without any aid of induced synchronization from the victim code. This synchronization and timing leakage through RASSLE is sufficient to retrieve the Most Significant Bits (MSB) of the ephemeral nonces used while signature generation, from which we subsequently retrieve the secret signing key of the sender applying the Hidden Number Problem.&#x0D; 1RASSLE is a non-standard spelling for wrestle.

Calculation of the coefficient of local hydraulic diaphragm resistance in transitional and laminar areas of flow

In the case of hydraulic machines and devices, local hydraulic resistances, as a rule, constitute the determining part of the total head losses during the operation of any hydraulic machine. The most detailed reference book, which has gone through many editions in our country and published abroad, is the “Reference book on hydraulic resistance” by I.E. Idelchik. At the same time, the analysis carried out in the cited literature showed that, depending on the year of publication of the reference book by I.E. Idelchik, for the same local resistance, the difference in the numerical values of the same local hydraulic resistance can reach a multiplicity. The purpose of this work is to analyze the recommendations given in the handbook for calculating the hydraulic resistance coefficient of diaphragms (holes) with any edge shapes for various conditions of flow overflow in the transition and laminar regions inside a pipeline of constant cross-section. In particular, it is shown that tabular values are recommended for calculating the filling factor of the diaphragm section and an analytical dependence is given, the differences in the numerical values of which reach 15%, which introduces uncertainty in the results of specific calculations. To a much greater extent, a similar situation takes place when using the recommendations for calculating the coefficient of hydraulic resistance. In this case, also, the given numerical tabular values of the coefficients of hydraulic friction resistance when the flow passes through the hole and calculated from the given analytical dependence, differ in multiplicity, which indicates the absence of a connection between them. This issue requires further special consideration.

Probabilistic Analysis of a Buffer Overflow Duration in Data Transmission in Wireless Sensor Networks

One of the most important problems of data transmission in packet networks, in particular in wireless sensor networks, are periodic overflows of buffers accumulating packets directed to a given node. In the case of a buffer overflow, all new incoming packets are lost until the overflow condition terminates. From the point of view of network optimization, it is very important to know the probabilistic nature of this phenomenon, including the probability distribution of the duration of the buffer overflow period. In this article, a mathematical model of the node of a wireless sensor network with discrete time parameter is proposed. The model is governed by a finite-buffer discrete-time queueing system with geometrically distributed interarrival times and general distribution of processing times. A system of equations for the tail cumulative distribution function of the first buffer overflow period duration conditioned by the initial state of the accumulating buffer is derived. The solution of the corresponding system written for probability generating functions is found using the analytical approach based on the idea of embedded Markov chain and linear algebra. Corresponding result for next buffer overflow periods is obtained as well. Numerical study illustrating theoretical results is attached.

Lipophilic Cations Rescue the Growth of Yeast under the Conditions of Glycolysis Overflow.

Chemicals inducing a mild decrease in the ATP/ADP ratio are considered as caloric restriction mimetics as well as treatments against obesity. Screening for such chemicals in animal model systems requires a lot of time and labor. Here, we present a system for the rapid screening of non-toxic substances causing such a de-energization of cells. We looked for chemicals allowing the growth of yeast lacking trehalose phosphate synthase on a non-fermentable carbon source in the presence of glucose. Under such conditions, the cells cannot grow because the cellular phosphate is mostly being used to phosphorylate the sugars in upper glycolysis, while the biosynthesis of bisphosphoglycerate is blocked. We reasoned that by decreasing the ATP/ADP ratio, one might prevent the phosphorylation of the sugars and also boost bisphosphoglycerate synthesis by providing the substrate, i.e., inorganic phosphate. We confirmed that a complete inhibition of oxidative phosphorylation alleviates the block. As our system includes a non-fermentable carbon source, only the chemicals that did not cause a complete block of mitochondrial ATP synthesis allowed the initial depletion of glucose followed by respiratory growth. Using this system, we found two novel compounds, dodecylmethyl diphenylamine (FS1) and diethyl (tetradecyl) phenyl ammonium bromide (Kor105), which possess a mild membrane-depolarizing activity.