High-efficiency System Research Articles

Techno-economic analysis of chemical looping heat pumps based on the levelized cost of energy

The chemical looping heat pump (CLHP) is a promising electrochemical heat pump technology due to high system efficiency, scalability, and use of low-to-zero Global Warming Potential (GWP) fluids. However, similar to other emerging HVAC&R technologies, there is a lack of direct comparison and discussion of economics between CLHPs and conventional vapor compression (VC) heat pumps. In this work, a generalized modeling framework to estimate the levelized cost of energy (LCOE) for space conditioning applications is used to assess the early-stage economic feasibility of CLHP. The LCOE consists of two components: levelized operating expenditures and levelized capital expenditures. These clarify the influence of key factors such as annual cooling and heating delivered and price of electricity. The simulations show that the LCOE of CLHP could be less than that of VC in the case of unit utilization of > 30,000 kWht yr−1, operating current density of > 0.4 A cm−2, and 30% performance improvements. This is despite the projected capital cost of CLHP is nearly 1.6 times higher than that of VC system.

Optimization of CRISPR/Cas9 Gene Editing System in Sheep (Ovis aries) Oocytes via Microinjection

The CRISPR/Cas9 system has become a powerful tool for molecular design breeding in livestock such as sheep. However, the efficiency of the Cas9 system combined with zygote microinjection remains suboptimal. In this study, mature sheep oocytes were used for microinjection to assess the impact of various factors on Cas9 editing efficiency. We found that the in vitro maturation efficiency of oocytes is related to environmental factors such as air temperature, pressure, and humidity. Our results indicate that high-efficiency gene editing can be achieved when targeting the SOCS2, DYA, and TBXT, using a microinjection mixture with a concentration of 10 ng/μL Cas9 and sgRNA. By optimizing the injection capillary, we significantly reduced the oocyte invalidation rate post-microinjection to 3.1–5.3%. Furthermore, we observed that using either Cas9 protein or mRNA in the microinjection process resulted in different genotypes in the edited oocytes. Importantly, parthenogenetic activation did not appear to affect the editing efficiency. Using this high-efficiency system, we successfully generated SOCS2 or DYA gene-edited sheep, with all lambs confirmed to be genetically modified. This study presents a highly efficient method for producing gene-edited sheep, potentially enabling more precise and effective strategies for livestock breeding.

Efficient simultaneous degradation of multiple sulfonamide antibiotics in soil using biocarbon-based nanomaterials as catalysts for persulfate activation.

There is an urgent need to develop effective and sustainable methods to decrease sulfonamide (SA) contamination of soil. Herein, a non-homogeneous system of zero-valent metal-biochar-based composites was proposed and tested for persulfate (PS) activation. This system employed zero-valent iron (Fe0) as an electron donor to catalyze the cleavage of the OO bond in PS, thereby generating reactive oxygen species (ROS) that degrade SAs. Notably, the incorporation of elemental sulfur (S) significantly mitigated the passivation of Fe0, leading to an enhanced degradation capability of the system. The system decomposes 84-97% of SAs at their concentration in soil suspension 10mg/kg in 3h. Among the coexistence of several SAs, the system showed the fastest degradation rate of sulfisoxazole with a kobs of 0.0305min-1, nearing complete removal within 3h. The system is resistant to the impact of organic matter in soil. It allows to decrease concentration of sulfadiazine in actual contaminated soil on 73% in 2h. The system remains effective with decreasing concentrations of PS from 20mM to 2.5mM, which lowered the operating cost. T.E.S.T software evaluation showed a significant reduction in the bioaccumulation toxicity and developmental toxicity of the degradation products, suggesting that the system is environmentally friendly. The high efficiency of the catalytic system, the simplicity and economy of the manufacturing process, the resistance to interference in real soil, and the environmental friendliness make this technology promising for mitigating the problem of the environment contamination by SAs.

Thermal Performance Enhancement With Melting Effect of Nickel Foam and MXene Nano-Enhanced Phase Change Material Composite-Based Thermal Energy Storages

Abstract This research explores the numerical investigation of melting processes in duplex and triplex tube latent heat thermal energy storage (LHTES) systems utilizing phase change material (PCM) enhanced with nickel foam and MXene nanoparticles. By incorporating a nickel foam/PCM/MXene (5% v/v) composite, the research scrutinizes the effects on melting characteristics, Stefan and Fourier numbers, and thermal behavior of both duplex tube thermal energy storage (DuT-TES) and triplex tube thermal energy storage (TrT-TES) configurations. A comprehensive analysis encompassing liquid fraction, melting temperature contours across varying melting durations, exergy destruction, exergetic efficiency, system efficiency, and the stored energy is conducted. The findings indicate that systems employing nickel foam/PCM–MXene composite exhibit superior performance compared to those utilizing nickel foam/PCM or pure PCM, resulting in a notable reduction in melting time. Furthermore, it is observed that the stored exergy of nickel foam/PCM composite surpasses that of pure cetyl alcohol PCM. In TrT-TES systems, melting with nickel foam/PCM composite occurs 58.82% faster than in DuT-TES systems. The stored energy of TrT-TES employing nickel foam/PCM and nickel foam/PCM/MXene composite is 4.55% and 3.69% greater, respectively, than that of DuT-TES systems. DuT-TES with nickel foam/PCM/MXene also achieves a 44.86% higher system efficiency at 90 s than nickel foam/PCM. Notably, the melting process with nickel foam/PCM/MXene in TrT-TES occurs 60.26% faster than in DuT-TES. Consequently, TrT-TES systems employing nickel foam/PCM/MXene composite demonstrate superior potential for latent heat thermal storage compared to DuT-TES systems.

Development of an intelligent control system of high efficiency and online monitoring for hot air drying of peony flowers.

To enhance the drying quality of peony flowers, this study developed an integrated intelligent control and monitoring system. The system incorporates computer vision technology to enable real-time continuous monitoring and analysis of the total color change (ΔE) and shrinkage rate (SR) of the material. Additionally, by integrating drying time and temperature data, a hybrid neural network model combining convolutional neural networks, long short-term memory, and attention mechanisms (CNN-LSTM-Attention) was employed to accurately predict the moisture ratio (MR) of peony flowers. The predictive model achieved a coefficient of determination (R2) of 0.9962, a mean absolute error (MAE) of 0.6870, and a root mean square error (RMSE) of 0.7634, demonstrating high accuracy in predicting moisture content during the drying process. Furthermore, the system utilized a fuzzy controller to dynamically regulate the drying parameters. The fuzzy control strategy was used to shorten the drying time by approximately 1h, improve the drying efficiency by roughly 12%, and significantly maintain the quality of peony flowers. These findings underscore the potential of the system to enhance drying efficiency and product quality.

Development of an experimental energy complex based on a boiler plant with an automated burner for its energy use

The object of the study is a sustainable energy complex designed to convert biomass and livestock waste into thermal energy. The problem being solved is the reduction of environmental pollution in the agricultural sector of Kazakhstan through effective waste management. The complex includes a biofuel production plant, a biogas synthesis plant, and an optimized heat generator in the form of a biogas-fired hot water boiler. The problem being solved is the need to use renewable energy sources that reduce the impact of agricultural waste on the environment while providing a reliable source of energy. Existing biogas technologies are often inefficient, especially in the processing of various agricultural wastes, and require innovation to meet the unique needs of rural farms. The main result of the study was the creation of an experimental biogas-powered heat generator with a capacity of 21.9 kW. The complex successfully recycles waste by producing biogas, which feeds a hot water boiler, providing thermal energy and reducing dependence on traditional fuels. Laboratory tests have confirmed the high efficiency of the biogas system, and optimal fermentation parameters have been determined for the effective production of biogas. The results show that the thermophilic operating mode (52–55 °C) ensures maximum biogas output, and the modular design of the system and the low-pressure gas tank increase practicality for small and medium farms. The complex offers an environmentally friendly solution by converting biomass into energy, which can be used in agricultural enterprises with access to organic waste. This innovative system not only promotes sustainability but also enhances energy independence for rural communities

On the Proof of Ownership of Digital Wallets

With the widespread adoption and increasing application of blockchain technology, cryptocurrency wallets used in Bitcoin and Ethereum play a crucial role in facilitating decentralized asset management and secure transactions. However, wallet security relies heavily on private keys, with insufficient attention to the risks of theft and exposure. To address this issue, Chaum et al. (ACNS’21) proposed a “proof of ownership” method using a “backup key” to prove ownership of private keys even when exposed. However, their interactive proof approach is inefficient in large-scale systems and vulnerable to side-channel attacks due to the long key generation time. Other related schemes also suffer from low efficiency and complex key management, increasing the difficulty of securely storing backup keys. In this paper, we present an efficient, non-interactive proof generation approach for ownership of secret keys using a single backup key. Our approach leverages non-interactive zero-knowledge proofs and symmetric encryption, allowing users to generate multiple proofs with one fixed backup key, simplifying key management. Additionally, our scheme resists quantum attacks and provides a fallback signature. Our new scheme can be proved to capture unforgeability under the computational indistinguishability from the Uniformly Random Distribution property of a proper hash function and soundness in the quantum random oracle model. Experimental results indicate that our approach achieves a short key generation time and enables an efficient proof generation scheme in large-scale decentralized systems. Compared with state-of-the-art schemes, our approach is applicable to a broader range of scenarios due to its non-interactive nature, short key generation time, high efficiency, and simplified key management system.

Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning

This paper examines Connected Smart Green Townhouses (CSGTs) as a modern residential building model in Burnaby, British Columbia (BC). This model incorporates a wide range of sustainable materials and smart components such as recycled insulation, Photovoltaic (PV) solar panels, smart meters, and high-efficiency systems. The CSGTs operate in grid-connected mode to balance on-site renewables with grid resources to improve efficiency, cost-effectiveness, and sustainability. Real datasets are used to optimize resource consumption, including electricity, gas, and water. Renewable Energy Sources (RESs), such as PV systems, are integrated with smart grid technology. This creates an effective framework for managing energy consumption. The accuracy, efficiency, emissions, and cost are metrics used to evaluate CSGT performance. CSGTs with one to four bedrooms are investigated considering water systems and party walls. A deep Machine Learning (ML) model combining Long Short-Term Memory (LSTM) and a Convolutional Neural Network (CNN) is proposed to improve the performance. In particular, the Mean Absolute Percentage Error (MAPE) is below 5%, the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) are within acceptable levels, and R2 is consistently above 0.85. The proposed model outperforms other models such as Linear Regression (LR), CNN, LSTM, Random Forest (RF), and Gradient Boosting (GB) for all bedroom configurations.

Analysis and Design of Stacked Coupled Inductor Quadratic Boost Converter With a Lossless Snubber Cell

ABSTRACTThis paper introduces the stacked coupled inductor quadratic boost converter with an inductorless, passive lossless snubber cell suited for high step‐up applications with various microgrids. Some design constraints can be selected from the voltage gain techniques of the high step‐up converters to obtain the solution of improvement performance of converter. The proposed converter utilizes quadratic boost converter and coupled inductor to attain high voltage gain beyond the voltage multiplier/lift cells. In this proposed converter, the use of a stacked coupled inductor type introduces the leakage inductor to snubber cell as an inductor without using an extra inductor in proposed snubber cell. Thus, a regenerative snubber cell is used to achieve a high system efficiency. Compared with earlier counterparts, the solution of attaining a high voltage gain in the proposed converter and passive lossless snubber cell leads to an increase in the converter's performance, reliability, and robustness. The theoretical expectations are supported by simulations and verified by experimental results obtained by implementing a 300‐V, 120‐W prototype.

High-Efficiency Genome Editing in Naturally Isolated Aeromonas hydrophila and Edwardsiella Piscicida Using the CRISPR-Cas9 System.

Aeromonas hydrophila and Edwardsiella piscicida are significant bacterial pathogens in aquaculture, causing severe diseases and tremendous economic losses worldwide. Additionally, both of them can act as opportunistic pathogens in humans, leading to severe infections. Efficient genome editing tools for these pathogens are essential for understanding their pathogenic mechanisms and physiological behaviors, enabling the development of targeted strategies to control and mitigate their effects. In this study, we adapted the CRISPR-Cas9 system for high-efficiency, marker-less genome editing in multiple naturally isolated strains of these two aquaculture pathogens. We developed a streamlined procedure that successfully generated deletion mutants of the aerA gene (encoding for aerolysin, a pore-forming toxin that plays a critical role in the pathogenicity) and the gfp insertion mutants in three naturally isolated A. hydrophila strains. Additionally, we deleted five putative hemolysin-encoding genes in both A. hydrophila ML10-51K and its ∆aerA derivative. The same system was also applied to the naturally isolated E. piscicida S11-285 strain, successfully deleting the ssaV gene (a component of the Type III Secretion System-a critical virulence mechanism in many pathogenic bacteria). The methodologies developed herein could be broadly applied to other pathogenic strains from natural environments, providing valuable tools for studying bacterial pathogenesis and aiding in the development of effective control strategies.

Direct Use of Ammonia in Solid Oxide Fuel Cells

With the global movement to suppress carbon use, hydrogen is emerging as an effective alternative to fossil fuels. However, there are difficulties in entering the energy market due to the lack of infrastructure and difficulties in storage/transportation when using hydrogen. Ammonia attracts attention as a promising solution to the hydrogen problem through well-established infrastructure around the world.Direct use of ammonia in solid oxide fuel cells (SOFCs) offers more attractive aspects such as high efficiency and compact system size. However, instability in long-term operation has been reported in many literatures, which is mostly attributed to Ni nitridation. To overcome Ni nitridation, the current study proposes an alloy-based fuel electrode and its facile fabrication process. In this study, we intend to improve ammonia cracking in anode layer in SOFCs, contributing to improvement both fuel cell performance and long-term stability. The details on the current work will be presented.

Observer-based fuzzy T–S control with an estimation error guarantee for MPPT of a photovoltaic battery charger in partial shade conditions

To improve the efficiency and performance of a photovoltaic system (PV) an observer-based fuzzy controller design methodology is provided in the study. The desired controller is achieved by employing a combination of linear matrix inequalities (LMIs). The system consists of a photovoltaic generator (PVG) connected to a boost converter. A battery is linked to the boost converter to stock additional energy for further use. A fuzzy controller based on a T–S fuzzy type observer that guarantees a predefined L2 performance is suggested to achieve maximum power point tracking (MPPT) even under changing weather conditions. An optimal trajectory should be tracked to ensure maximum power operation. For this aim, a specific reference fuzzy model is proposed to create the aimed trajectories. Using this method, the system dynamics are precisely reproduced over a large range of operations. The whole T–S fuzzy methodology, suggested in this paper, aims to ensure the most efficient energy recovery to recharge a battery under partially shaded conditions, resulting in high system efficiency. The proposed method is simulated with MATLAB/SIMULINK and the simulation results, with realistic reference trajectories, are driven while taking into account climate variations. The analysis of these simulations, along with a comparison with two other commonly used approaches, led to the conclusion that the suggested strategy succeeded in reducing the tracking time, as well as eliminating the oscillation that often occurs around maximum power point (MPP).

Design Study for a Superconducting High-Power Fan Drive for a Long-Range Aircraft

New aerodynamic aircraft concepts enable the storage of volumetric liquid hydrogen (LH2). Additionally, the low temperatures of LH2 enable technologies such as the superconductivity of electrical fan drives and power distribution components. An increased power density of the onboard wiring harness and the electrical machine can be expected. The highest system efficiency and the smallest fuel and tank weight will be achieved with a highly efficient energy conversion by the fuel cell from LH2 to electrical energy. This publication shows a comprehensive study for cryogenic fan drives based on experimental-driven tape superconductor investigations, mission profile-based considerations, design analyses of superconducting electrical machines, and studies of the cooling concepts. A cryogenic system cannot be considered without a feasible cooling concept. Here, an approach with a safe He-based cooling system is proposed, using the LH2 flow to the fuel cell as a heat sink for the losses in the electrical system.

Thermodynamic and Economic Analysis of a High-efficiency System Integrating ORC Power Generation, CO2 Capture, and CO2 Storage Driven by Complementary LNG Cold Energy and Flue Gas Waste Heat.

Thermodynamic and Economic Analysis of a High-efficiency System Integrating ORC Power Generation, CO2 Capture, and CO2 Storage Driven by Complementary LNG Cold Energy and Flue Gas Waste Heat.

Sustainable and efficient monitoring of tryptophan and tyrosine serum levels: a green HPTLC method as a biomarker for type 2 diabetes

In recent years, there has been considerable interest in using amino acids like tryptophan (Trp) and tyrosine (Tyr) as biomarkers for various diseases, including type 2 diabetes mellitus (T2D). In diseases like T2D, the metabolism of Trp and Tyr is altered. The activity of enzymes involved in Trp metabolism increases, leading to a decrease in its serum level. On the other hand, the serum level of Tyr increases due to the suppressed activity of its metabolizing enzymes. These observations suggest that Trp and Tyr metabolism may play a crucial role in the pathophysiology of type 2 diabetes. Our study highlights the potential utility of Trp and Tyr as biomarkers for the early detection, prognosis, and monitoring of this metabolic disorder. Given these observations, we aimed to develop a high-performance thin-layer chromatographic (HPTLC) method that is sensitive, selective, rapid, and environmentally friendly for estimating the concentrations of Trp and Tyr in biological fluids, particularly serum samples. To evaluate the method, we performed analysis using serum samples from controlled and streptozotocin-induced diabetic rats. Our main objective was to develop a method that is sensitive and selective for precisely determining Trp and Tyr serum levels, which could serve as potential biomarkers for T2D. Fluorescence and absorption modes were employed for densitometry scanning. We assessed the precision and high separation efficiency of the chromatographic system by calculating parameters such as separation and resolution factors, number of theoretical plates, and height equivalent to theoretical plates. To evaluate the environmental impact of our proposed method, we employed the AGREE (Analytical GREEnness metric) and GAPI (Green Analytical Procedure Index) greenness assessment tools. The results confirmed that our method is environmentally friendly and exhibits superior eco-friendliness and greenness compared to other reported methods.Graphical

Electro-assisted carbon nanotube dual catalytic membrane system for high-efficiency and energy-efficient water treatment

Improving performance of peroxymonosulfate (PMS) catalytic membrane via electrochemical assistance renders an effective way for water decontamination. However, the current cathodic or anodic membrane based electro-assisted PMS catalytic single-membrane systems (EPSM) usually suffer from their inherent deficiencies. Herein, a novel electro-assisted PMS catalytic dual-membrane system (EPDM) was constructed by employing two electro-conductive carbon nanotube membranes as the anodic and cathodic membranes, in order to couple the advantages of anodic and cathodic catalytic membranes for enhanced water treatment. Moreover, the filtration sequence (anode–cathode (A-C) or cathode–anode (C-A)) was varied to explore its effect on EPDM performance. Results showed the EPDM operated in C-A mode achieved ultrafast (0.95 s−1) and energy-efficient (0.008 kWh m−3) removal towards sulfamethoxazole (SMX), and its SMX mineralization rate was 1.7 times higher than that of EPDM operated in A-C mode and 5.1 or 2.4 times higher than that of cathodic or anodic membrane based EPSM. Meanwhile, the EPDM also displayed efficient fouling mitigation on both membrane surface and pores. Furthermore, EPDM can maintain high performance and good stability in long-term actual surface water treatment. The outstanding performance of EPDM operated in C-A mode was attributed to the collaboration of cathodic and anodic membranes: For one thing, cathodic and anodic membranes sequentially activated PMS to produce radicals (OH and SO4−) and non-radicals (1O2 and electron transfer) for enhanced pollutant oxidation; for another, both membranes in C-A mode effectively resisted coexisting interferents in real water.

Harnessing visible light for sustainable biodiesel production with Ni/Si/MgO photocatalyst

Sustainable energy sources frequently demonstrate greater reliability and resilience in comparison to conventional energy sources. Biodiesel, with its markedly reduced carbon footprint when compared to petroleum-based diesel fuel, owes this advantage to its production from renewable resources. Heterojunction photocatalysts have gained significant interest due to their immense promise in tackling environmental challenges. In this study, a highly efficient photocatalyst, Ni/Si/MgO, for biodiesel production under visible light irradiation was synthesized using a solid-phase reaction method with silica as the silicon source, along with Ni and MgO. The surface functionality of Ni/Si/MgO was crucial for achieving high efficiency of photocatalytic systems, as evident from XPS. The transesterification reaction on the Ni/Si/MgO photocatalyst proceeds by the formation of SiH and SiOH bonds over the catalyst. The photocatalytic activities of Ni/Si/MgO photocatalysts were higher than those of the Si/MgO nanoparticle when exposed to light. Achieving an optimal yield of 98 %, the biodiesel production was carried out under the following reaction conditions: A catalyst dosage of 2 % by weight was utilized, along with a methanol-to-oil molar ratio of 12:1, and the entire procedure was executed within a duration of 3.5 h. Plasmonic near-fields are speculated to be responsible for the increased transesterification activity along the Ni/Si/MgO interface. In order to carry out the transesterification reaction, electron-hole pairs are generated along the Ni/Si/MgO interface, where plasmonic near-fields are highly concentrated. This study contributes a significant perspective on mechanisms governing the process of efficient plasmonic photocatalysis responsive to visible light. These findings hold the potential to offer valuable guidance in the formulation and design of next-generation, high-performance photocatalysts.

Performance prediction and enhancement strategy of a new proton exchange membrane fuel cell-hydrophilic modified tubular still hybrid system

The abundant low-grade waste heat generation in proton exchange membrane fuel cell (PEMFC) not only leads to energy wasting but also degrades the cell durability. Herein, an innovative hybrid system model that integrates PEMFC with a hydrophilic modified tubular still (HMTS) is developed, aiming to remove and harness the waste heat for extra freshwater production. Based on thermodynamic and electrochemical theories and considering major irreversible losses within the system, the model is formulated to obtain the performance metrics. Computational results demonstrate that the hybrid system outperforms the independent PEMFC, exhibiting a 13.26 % increase in maximum output power density, as well as significant improvements in energy efficiency (6.49 %) and exergy efficiency (23.36 %). Exhaustive parametric studies show that raising the fuel cell's operation temperature and operation pressure and the wind velocity, or reducing the thermodynamic losses positively enhances the overall output performance. Nevertheless, enlarging the proton exchange membrane thickness, tube shell diameter, or length of the tube shell worsens the output performance. Local sensitivity analyses identify that the thickness of proton exchange membrane is the most sensitive factor affecting the output performance. These results are helpful for optimally designing and running a high-efficient system.

High-throughput solutions in tumor organoids: From culture to drug screening.

Tumor organoids have emerged as an ideal in vitro model for patient-derived tissues, as they recapitulate the characteristics of the source tumor tissue to a certain extent, offering the potential for personalized tumor therapy and demonstrating significant promise in pharmaceutical research and development. However, establishing and applying this model involves multiple labor-intensive and time-consuming experimental steps and lacks standardized protocols and uniform identification criteria. Thus, high-throughput solutions are essential for the widespread adoption of tumor organoid models. This review provides a comprehensive overview of current high-throughput solutions across the entire workflow of tumor organoids, from sampling and culture to drug screening. Furthermore, we explore various technologies that can control and optimize single-cell preparation, organoid culture, and drug screening with the ultimate goal of ensuring the automation and high efficiency of the culture system and identifying more effective tumor therapeutics.

EVALUATION OF THE EFFECTIVENESS OF BIOLOGICAL PREPARATIONS FOR THE PROTECTION OF TOMATOES FROM LATE BLIGHT IN PROTECTED GROUND UNDER DRIP IRRIGATION

The article is devoted to the study of the peculiarities of biological protection of tomatoes against late blight in protected ground. The article summarises the peculiarities of the phytopathogenic situation in tomato agrocenoses in greenhouses under artificial climate control. A brief literature review was conducted from the point of view of modern strategies for controlling late blight in closed, artificially regulated tomato agrocenoses. The level of damage caused by late blight over a multi-year period was assessed from the point of view of both the reduction of tomato yields and pathogen resistance to new active substances and their combination. In the course of the study, the variants of application of classical fungicides in the composition of modern active substances (Kurzat M 68% wdg, 0,2–0,3 g/m2; Zorvek Incantia, 33% s.e. – 0,05 ml/m2; Banjo Forte KS, 0,1 ml/m2) with the use in the phenological stage period from intensive branching to fruit formation (VVSN 42-73), as well as the option of single sequential application of recommended biological products of fungicidal nature (Trichodermin (VIRIDIN), 20 g, 20 g/5 l of water/1 hundred square metres; Phytocide-p, 5 ml / 5 l of water / 1 hectare; Biological fungicide for tomatoes Effect, 5 g / 5 l of water / 1 hectare) and the option of their maximum combination in the same phenological period as the use of classical fungicides. It was found that the degree of damage to the bush by late blight (Ph. infestans de Bary) during the period of research in the farm conditions was noticeable (8,3%) and medium (12,7%) according to the standard scale of accounting. It has been determined that the system of purely biological variant with a single use of alternative fungicides is inferior to the variant of using the classical line of fungicides available on the Ukrainian market - on average, during the research period, the effectiveness of the classical scheme of fungicide application against tomato late blight at the enterprise was 86.45%, and the alternative biological –76.80%, which is 9.65% lower. For the variant with the intensification of the use of biological protection preparations against late blight, the average protection efficiency for two years of research was up to 85,1%. It was proved that the economic efficiency of the variant of classical pesticides application was maximum and provided an increase in tomato yield to the control on average at the level of 6,2 kg/m2 during the research period. Of the variants of biological protection systems, the most effective was the variant of combined use of biological preparations of fungicidal nature at the level of 5,5 kg/m2. It has been established that the variants of biological control systems of late blight of tomatoes in protected ground have quite significant prospects in comparison with the use of popular active ingredients of classical fungicides. In particular, for the conditions of the region, in order to maintain the high efficiency of the protection system and guarantee a high level of yield and quality of tomatoes, we recommend a variant that provides for the maximum combination of such biological fungicides of complex action as Fitotsid-r, Effect, Trichodermin during the vegetation of tomatoes.