Energy Cost Optimization Research Articles

Thermodynamics of Animal Locomotion.

Muscles are biological actuators extensively studied in the frame of Hill's classic empirical model as isolated biomechanical entities, which hardly applies to a living organism subjected to physiological and environmental constraints. Here we elucidate the overarching principle of a living muscle action for locomotion, considering it from the thermodynamic viewpoint as an assembly of actuators (muscle units) connected in parallel, operating via chemical-to-mechanical energy conversion under mixed (potential and flux) boundary conditions. Introducing the energy cost of effort as the generalization of the well-known oxygen cost of transport in the frame of our compact locally linear nonequilibrium thermodynamics model, we analyze oxygen consumption measurement data from a documented experiment on energy cost management and optimization by horses moving at three different gaits. Horses adapt to a particular gait by mobilizing a nearly constant number of muscle units minimizing waste production per unit distance covered; this number significantly changes during transition between gaits. The mechanical function of the animal is therefore determined both by its own thermodynamic characteristics and by the metabolic operating point of the locomotor system.

Control of operating modes of an electroadsorption apparatus with a fixed layer of adsorbent

This paper provides a new scheme and algorithm of automated control of modes of operation of electroadsorption mass transfer apparatuses are presented on the example of a continuously operating electroadsorber with a fixed adsorbent layer. The required values of technological parameters and ranges of their regulation were obtained during the calibration of technological parameters at the stage of commissioning of the electric adsorption mass transfer equipment, also in an automated mode. A detailed description and algorithm of the stages of calibration of technological parameters of electroadsorption apparatuses with a fixed adsorbent layer are given in the second part of this work (Calibration of technological parameters of an electroadsorption apparatus with a fixed layer of adsorbent). The principle of automated control consists in self-adaptation of the mass exchange system to optimal productiveness, due to the imposition of adjustable electric fields of a given intensity on the adsorption processes and recognition of the most effective hydromechanical modes flow about of the surfaces of the adsorbent granules with a continuous gas phase flow using the turbulization index, that is, assessing the contribution of the inertial component of the structure filtration flow of a continuous gas phase flow through the adsorbent layer. A self-adaptive automated control system for electroadsorption processes will allow achieving the highest levels of gas emissions purification, with optimal energy costs for mass transfer processes, and will provide an opportunity to smooth out technological, large-scale and other factors inherent in specific mass transfer processes and apparatus designs. The most important feature of the developed self-adaptive control system is multi-functionality and a wide range of variation of operating modes from energy-saving optimal modes to emergency capture modes in cases of emergency emissions and unexpected bursts of concentrations of harmful captured substances from the continuous gas phase flow.

Blockchain-based decentralized workload and energy management of geo-distributed data centers

Minimizing the costs of cloud services is important for cloud service providers to grow their business. In cost calculation of cloud services, power consumption cost is a major factor. The variability present in renewable power generation, electricity price, and power demand variates the power utilization expenditures. Due to high computational requests, datacenters consume enormous energy every day, thereby necessitating the need for energy efficient designs. Therefore, an energy consumption cost reduction mechanism is required to optimize the data center’s power consumption cost locally and to have the option to redistribute the workload on geo-distributed data centers in peak hours for further reduction in power consumption cost. In this paper, the authors investigate the energy consumption cost optimization problem in cloud datacenters and propose a blockchain-based decentralized workload distribution and management model. Moreover, we minimize request scheduler time for transferring any job from one data center to another and secure the energy cost optimization process due to shut down/ communication failure. The proposed work is the primitive to present the energy cost optimization problem in geo-distributed data centers by introducing blockchain-based secure workload scheduling method considering both the temporal and spatial disparities associated with electricity tariffs and workload arrival process. The simulations are evaluated on real-world workload of the Google data center and associated electricity tariffs. The blockchain-based decentralized workload management framework is evaluate based on privacy and security analysis, update overhead, latency, and throughput. Moreover, the results show blockchain model migrate workload in minimum 46 % reduced time compared to conventional model.

Safety audit analyse – A case study report in printing machinery firm

A Quality electrical power supply must be available at all times, always within the frequency and magnitude tolerance limits, and always with a perfectly sinusoidal waveform. A reliable, efficient and safe power supply is essential for guaranteeing productivity and precision in any organisation. Energy cum safety audit helps in energy cost optimization, pollution control, safety aspects and suggest the method to improve the operating and maintenance. This paper presents preliminary results from a power quality and safety audit conducted at a industry building. Voltage and current were measured at various feeders; it was found that the main problems for the equipment installed were voltage sags, surges and more THD levels than normal levels. The paper examines the causes and effects of power disturbances that affect the printing machines and other microprocessor-based equipment and analyzes the auto-protection capabilities of modern power supplies. Finally it is addresses the role of the standards on the protection of electronic equipment and the implications for the final costumer. Then it continues with installation of filters on the load side continued with constant maintaining of earthing system inorder to maintain the flow of neutral current in the feeders. This will help to maintain the system stability, reduce the losses occurring due to the presence of THD and reduce the energy bill followed by reduction of EB bus burden. The audit report basically list the recommended electrical machinery safety measure to reduce the energy and maintenance cost.

Relationship Between Energy Demand, Indoor Thermal Behaviour and Temperature-Related Health Risk Concerning Passive Energy Refurbishment Interventions

Abstract The main objective of this article is to demonstrate that passive energy refurbishment interventions influence comfort conditions of households for both cold and hot annual periods, while they help to avoid or promote temperature-related health risk situations. However, improving the thermal efficiency of the building envelope is encouraged in order to reduce energy demand for heating and cooling instead of considering also their impact on users’ health. The calculation methodology to quantify improvements, on the other hand, is drawn from regulation-based standards, which describe the optimal achievable efficiency levels and energy cost savings. The present study, however, addresses how diverse thermal performance variables are (climate, thermal comfort range and occupancy rate), and shows that different thermal assessment standards influence the obtained results. An energy simulation approach was developed to evaluate different scenarios and compare the results. In conclusion, the results contribute to an understanding or to a discussion of the suitability of current energy renovation policies with regard to indoor thermal comfort and temperature-related health risk situations.

Step time asymmetry but not step length asymmetry is adapted to optimize energy cost of split‐belt treadmill walking

The relationship between spatiotemporal gait asymmetry and walking energetics is currently under debate. The split-belt treadmill paradigm has been used to study adaptation of spatiotemporal gait parameters in relation to energetics, but it remains unclear why people reduce asymmetry in step lengths, but prefer asymmetry in step times. In this study we characterized the effects of step time asymmetry and step length asymmetry on energy cost during steady-state walking on a split-belt treadmill at increasing speed-differences. Both the optimal and preferred step time asymmetry increased with greater speed differences, while preferred step lengths remained constant and nearly symmetric. Preferred asymmetric step times were energetically optimal across all speed-difference conditions, while preferred step length asymmetry was not optimal. The findings show that humans will adopt an asymmetric gait that is associated with an energy reduction and suggest that step time asymmetry plays a dominant role in shaping the energetic cost of gait asymmetry. Healthy human walking is symmetric and economical; hemiparetic and amputee gait is often asymmetric and requires more energy. Consequently, asymmetry has been attributed to account for the added energy cost of pathological gait. But it is also possible that asymmetric gait may be adopted if it is energetically optimal under certain biomechanical and neurological constraints of the locomotor system. Here, we assessed how preferred asymmetry in step times and step lengths of healthy human gait is adapted during split-belt treadmill walking and tested the hypothesis that asymmetry is adapted to optimize metabolic energy cost. Ten healthy, young participants walked on a split-belt treadmill in three conditions in which the average belt speed was always 1.25 m s-1 and the speed difference between the belts was 0.5 m s-1 , 1.0 m s-1 and 1.5 m s-1 while a range of values of step time asymmetry and step length asymmetry were enforced. We found that preferred step time asymmetry increased with greater speed differences while preferred step length asymmetry remained constant and nearly symmetric. With increasing speed differences participants increased their preferred value of step time asymmetry to coincide with the lowest energy cost. However, our results show that preferred step length asymmetry was not optimal even with extensive experience of split-belt treadmill walking. Overall, our results indicate that humans will adopt an asymmetric gait that is associated with an energy reduction and suggest that step time asymmetry plays a dominant role in shaping the energetic cost of gait asymmetry.

Falling-film as natural cooling technique: Modelling and energy impact assessment

Although the cooling energy consumption is expected to decrease with the use of natural cooling techniques, their incorporation into the building sector remains very limited in most countries of the European Union and non-existent in others. This is largely due to a lack of information about the techniques and tools that enable the different design options to be assessed quickly and without high computational costs. For this reason, this study develops a simplified characterization model of the falling water film system since there is a lack of available information about it. This makes it possible to assess the system’s potential in a variety of operating conditions or climate zones and to evaluate it as an alternative or complement to conventional air conditioning systems. This model has been obtained and validated with data provided by assessing an experimental prototype of the system. This simplified characterization model allows the Transient System Simulation Tool to assess the energy impact resulting from the use of falling water film technology to supply cold water to an air treatment unit through a thermal energy storage system. The energy impact was assessed for different kinds of single-family homes and in the two most extreme climate zones regarding cooling. The results show that this natural heat dissipation system is capable of satisfying up to approximately 90% of the demand for the different kinds of homes and climate zones studied. The maximum percentage of the demand satisfied can be obtained with different storage tank volumes and dissipation areas. Thus, when studying how to incorporate this natural cooling technique, it is necessary to analyse the optimal energy and financial cost of the range of design options according to the case in question. Finally, thanks to the set of simulations carried out, it has been possible to define the concept of the utilization factor, which will allow for the easy evaluation, without the need for detailed simulations, of how the system can be incorporated into buildings in future studies of climate applicability.

Water-Energy Management for Demand Charges and Energy Cost Optimization of a Pumping Stations System under a Renewable Virtual Power Plant Model

The effects of climate change seriously affect agriculture at different latitudes of the planet because periods of drought are intensifying and the availability of water for agricultural irrigation is reducing. In addition, the energy cost associated with pumping water has increased notably in recent years due to, among other reasons, the maximum demand charges that are applied annually according to the contracted demand in each facility. Therefore, very efficient management of both water resources and energy resources is required. This article proposes the integration of water-energy management in a virtual power plant (VPP) model for the optimization of energy costs and maximum demand charges. For the development of the model, a problem related to the optimal operation of electricity generation and demand resources arises, which is formulated as a nonlinear mixed-integer programming model (MINLP). The objective is to maximize the annual operating profit of the VPP. It is worth mentioning that the model is applied to a large irrigation system using real data on consumption and power generation, exclusively renewable. In addition, different scenarios are analyzed to evaluate the variability of the operating profit of the VPP with and without intraday demand management as well as the influence of the wholesale electricity market price on the model. In view of the results obtained, the model that integrates the management of the water-energy binomial increases the self-consumption of renewable energy and saves electricity supply costs.

Electric energy cost optimization at industrial enterprises

Subject. The article addresses cost management at enterprises, reveals key conditions and drivers for energy cost optimization. Objectives. The purpose is to develop basic organizational and economic mechanisms to optimize energy costs of enterprises. Methods. The study relies on empirical and logical constructions, analysis and synthesis, generalization, the systems approach and methods of comparative analysis. Results. I disclose cost optimization factors affecting the cost of electric energy consumption, offer tools for energy cost reduction. The findings may be useful for cost management improvement in both the real economy and service sector. Conclusions. Since the cost of electric energy is a significant part of the cost of most enterprises, energy cost management becomes an important element of the cost management policy. Substantial savings can be achieved not only through modern technical solutions and energy-saving technologies and equipment, but also by implementing a set of organizational and economic measures, which include the selection of optimal price category (tariff), correct application of technical parameters for the purpose of proper pricing, organization of the energy supply scheme.

HVAC Energy Cost Optimization for a Multizone Building via a Decentralized Approach

It has been well acknowledged that buildings account for a large proportion of the world's energy consumption. However, the energy use of buildings, especially the heating, ventilation and air-conditioning (HVAC), is far from being efficient. There still exists a dramatic potential to save energy through improving building energy efficiency. Therefore, this paper studies the control of HVAC system for multi-zone buildings with the objective to reduce energy consumption cost while satisfying thermal comfort. In particular, the thermal couplings due to the heat transfer between the adjacent zones are incorporated in the optimization. Considering that a centralized method is generally computationally prohibitive for large buildings, an efficient decentralized approach is developed, based on the Accelerated Distributed Augmented Lagrangian (ADAL) method [1]. To evaluate the performance of the proposed method, we first compare it with a centralized method, in which the optimal solution of a small-scale problem can be obtained. We find that this decentralized approach can almost approach the optimal solution of the problem. Further, this decentralized approach is compared with the Distributed Token-Based Scheduling Strategy (DTBSS) [2]. The numeric results reveal that when the number of zones is relatively small (less than 20), the two decentralized methods can achieve a comparable performance regarding the cost of the HVAC system. However, with an increase of the number of zones in the building, the proposed decentralized approach demonstrates better performance with a considerable reduction of the total cost. Moreover, the decentralized approach proposed in this paper demonstrate better scalability with less average computation required.

A technical perspective on variability costs: Dependence on power variability and cross-correlations

With power from integrated vRES added to electricity generated by conventional sources across a commitment interval, unexpected real-time changes in demand and generation may contribute substantial overheads to the optimal cost of energy (CoE). This paper presents analytical formulations and illustrative examples to focus on a significant fraction of the cost overheads, commonly referred to as variability costs. By contrast to studies that report a market perspective to the costs, the paper offers a technical perspective through an augmented electricity dispatch, and further takes into account cross-correlations between randomly changing power variables.The minimum CoE across the commitment interval is obtained for the zero variability (maximum likelihood, or ML) demand-generation profile, to which variability costs add as an exclusive linear term, while a similar term accounts for forecast errors and other differentials. Modifications to the CoE that allow extension of the concept to primary-grid/microgrid environment are easily accommodated.Generation schedule examples included in the paper illustrate sensitivity of variability costs to demand variability, vRES generation variability, and cross-correlations. Distinction between central and distributed vRES integration are presented in terms of variability costs as well as overall effect on the CoE.

Evaluation of Compressor Heat Pump for Root Zone Heating as an Alternative Heating Source for Leafy Vegetable Cultivation

Protected horticulture is a high energy-consuming sector in which the optimization of energy use and cost for heating facilities is strategic in achieving high environmental and economic sustainability of production. The main aim of the project was to evaluate the use of a heat pump for basal heating as an alternative technology to grow crops with reduced canopies, such as basil. During the test, an area of the greenhouse contained two systems of coaxial pipes circulating warm water from a heat pump and a condensing boiler. These pipes were placed above the growing media. At the same time, a separate area of the same greenhouse contained a traditional heating system consisting of an air heater, the solution commonly used to heat greenhouses. Microclimatic conditions and energy consumption were analyzed for the three heating technologies. The energy analysis of the three experimental heating options showed that all of them could ensure suitable thermal conditions for cultivation in the winter period. Overall, the results confirmed the energy saving resulting from the adoption of the heat pump, underlining the importance of this device in terms of the support that the energy-saving goal receives.

Снижение энергетических затрат при управлении установкой ректификации нефти

Introduction. Methods for assessing the energy efficiency of small oil refineries are not sufficiently developed currently. Aim is an optimizing the energy costs of oil separation. Materials and methods. An algorithm for calculating the sectional model of the atmospheric unit of a lowpower oil distillation unit is presented. The resulting model is supplemented by the calculation of an air-cooling apparatus and a shell-and-tube heat exchanger. The factors affecting energy costs were selected: the consumption of superheated water vapor in the atmospheric and stripping columns, reflux ratio, and the consumption of raw materials. To derive the dependence of the selected criterion on the listed factors, the method of orthogonal central compositional planning of the experiment was applied. A planning matrix for a four-factor experiment using the sectional model is compiled. The results of the experiment have been obtained in the MATLAB software package. An estimation of the insignificance of the coefficients in the obtained second-order regression equation is carried out; insignificant coefficients are excluded from the model. The adequacy of the model was verified using the Fisher criterion. The regression equation represented in the physical quantities of the factors is the objective function. Results. The surface of the output parameter is constructed depending on control factors (reflux number and flow rate of superheated water vapor into the atmospheric column) with a constant flow of raw materials and a constant flow of superheated steam into the stripping column. It is shown that the selected factors affect not only energy costs, but also the quality indicators of petroleum products. Mathematical models are given for determining the quality indicators of oil products (temperatures of the beginning and end of boiling) at an oil refinery, which are used as limitations. The application of the obtained dependence is proposed for optimizing energy costs at an oil distillation unit with a changing consumption of raw materials. Conclusion. The obtained optimal values of the factors can be used as tasks for the regulators on the current installation.

Development of a structural and functional diagram of an aggregate for grinding and incorporating coarse stem plant residues into the soil

Annotation Purpose. Increasing the efficiency of crushing operations and embedding coarse-stem plant residues into the soil due to the improvement of the technological process using a combined unit containing a crusher roller, disc working bodies and a compactor roller. Methods. The research was carried out using synthesis analysis, correlation-regression analysis, which makes prediction of the output quality and energy indicators for certain operating conditions and certain parameters of the combined machine for processing corn stubble. The rational values of design parameters and operating modes were determined based on the results of solving the problem of optimizing energy costs and quality indicators within one module with established internal factor relationships and relationships that arise when working bodies interact with the plant environment and soil. Results. A structural and functional diagram of a combined unit has been developed, in which a shredder roller in combination with a disc harrow and a compactor roller improves the quality of processing operations with simultaneous crushing and harvesting plant residues into the soil. The trailed combined unit contains a towing device, a frame, support wheels for moving in the transport position, a section of crusher rollers, a section of cut spherical disc working bodies, a section of solid spherical disc working bodies, mechanisms for adjusting the angles of attack of sections of spherical discs, sections of compaction rollers. Conclusions 1. The technological process of crushing (up to 5 cm) of plant residues of coarse-stem crops, their earning, mixing with the soil and spreading over layers to a depth of 25 cm, rolling the treated soil and leveling the field surface has been improved, reduces the development of corn moth. 2. A structural-functional diagram has been developed and a combined unit has been manufactured, the main difference of which is the use of a mounted module-roller-grinder, which intensifies the grinding process and earns coarse-stem plant residues into the soil, increases the quality indicators of the technological operation by the amount of crushed plant residues less than 5 cm to 70–80%. Keywords: corn, plant debris, grinding, making plant debris, tillage, combined unit.

СИСТЕМА АВТОМАТИЗИРОВАННОЙ КАЛИБРОВКИ ТЕХНОЛОГИЧЕСКИХ ПАРАМЕТРОВ ЭЛЕКТРОАДСОРБЦИОННЫХ АППАРАТОВ СЕЛЕКТИВНОЙ ОЧИСТКИ ГАЗОВЫХ ВЫБРОСОВ

The procedure for automatic calibration of process parameters of electric adsorption mass transfer devices for selective purification of gas emissions is presented on the example of a continuous electric adsorber with a moving adsorbent bed. The calibration program is based on automatic recognition of the ranges of regulation of the operating modes of electric sorption devices at the stage of commissioning or during the current operation of technological mass transfer equipment. The hydrodynamics of the filtration flow through the adsorbent bed and the parameters of the electric field are subject to calibration, while the optimal filtration regimes from the point of view of washing the adsorbent granules with a continuous gas phase flow are recognized. Determination of the control limits for the parameters of the electric field is based on an automatic check of the quality of electrical insulation part of the mass transfer device, as well as recognition of the current arising in the circuit when ions move between charged surfaces (ionic wind). The calibration program and the parameters obtained with its help will enable the self-adaptive system of automated control of electrical adsorption processes to achieve the highest rates of purification of gas emissions, with optimal energy costs for the implementation of mass transfer processes and will provide an opportunity to smooth out technological, large-scale and other factors inherent in specific mass transfer processes and device designs.

Two-step probabilistic method to enable demand response programs in renewable-based integrated energy systems

This paper presents a two-step procedure to enable residential Demand Response (DR) programs in the Multi-Carrier Energy Systems (MCES), including a combined heat and power generation, renewable resources, a boiler, and energy storage systems. In the first step, an optimization problem is solved to determine the optimal energy cost for each customer. In the second step, the system operator (SO) minimizes the summation of the total loss cost of the electrical distribution system and a designed motivational payment, subject to various operational constraints of the MCES. The motivational payment is the function of deviation of the resulted energy cost of a home in the second step from the desired cost obtained in the first step. The main idea of the proposed procedure is to consider the concerns of customers and the operator, simultaneously. This paper also addresses the uncertainties in renewable resources generation. The proposed procedure is simulated on a test energy system for various cases. The results show that as the level of customer participation in the proposed program is increased, the technical aspects of the integrated energy system are improved. In addition, the customers' costs are decreased by participation in the proposed program.

Stochastic Linear Programming for Optimal Planning of Battery Storage Systems Under Unbalanced-uncertain Conditions

Battery energy storage system (BESS) has already been studied to deal with uncertain parameters of the electrical systems such as loads and renewable energies. However, the BESS have not been properly studied under unbalanced operation of power grids. This paper aims to study the modelling and operation of BESS under unbalanced-uncertain conditions in the power grids. The proposed model manages the BESS to optimize energy cost, deal with load uncertainties, and settle the unbalanced loading at the same time. The three-phase unbalanced-uncertain loads are modelled and the BESSs are utilized to produce separate charging/discharging pattern on each phase to remove the unbalanced condition. The IEEE 69-bus grid is considered as case study. The load uncertainty is developed by Gaussian probability function and the stochastic programming is adopted to tackle the uncertainties. The model is formulated as mixed-integer linear programming and solved by GAMS/CPLEX. The results demonstrate that the model is able to deal with the unbalanced-uncertain conditions at the same time. The model also minimizes the operation cost and satisfies all security constraints of power grid.

Combined Heat and Power Units Sizing and Energy Cost Optimization of a Residential Building by Using an Artificial Bee Colony Algorithm

Battery manufacturing and recycling are expensive; combined heat and power (CHP) units are optimal for residential premises. CHP units can enhance energy efficiency and reduce energy costs, but appropriately sized units must be chosen. Here, we optimize CHP unit sizing to minimize the energy costs of residential areas. Sizing is based on both the electricity and heat loads; it is possible to optimally rate the various types of CHP units. We compare an artificial bee colony (ABC) optimization method to a genetic algorithm (GA) when various strategies are adopted. Electricity and heat loads are considered together when sizing CHP units and optimizing costs using the ABC algorithm and the GA. The optimization outcomes are compared to a base case; the ABC method performs better than the GA. The average daily energy cost savings possible using the ABC method were higher for all three seasons (by 25.9, 4.4, and 10.8% respectively) compared to those possible when residential premises lacked CHP units.

Energy Cost Optimization of Hybrid Renewables Based V2G Microgrid Considering Multi Objective Function by Using Artificial Bee Colony Optimization

The worldwide demand for reduction of CO2 pollution, with more penetration of renewable energy sources and an increased number of electric vehicles (EVs), demonstrates the importance of economic dispatch (ED) with taking into account the reduction of CO2 emission. ED is a classical problem in which EVs impose more penetration as a dynamic load, and its impact as vehicle-to-grid (V2G) is the possible future trend with cost minimization. Based on the integration of EVs and hybrid renewable sources concerning both economic dispatch and pollution minimization, the multi-objective function is converted into a single comprehensive objective by using the judgment matrix methodology. In this paper, the investigation involves the minimization of the cost of all three objectives viz. operation cost, pollution cost, and carbon emissions with ED by incorporating V2G technology. The algorithms which include particle swarm optimization, as well as artificial bee colony, are applied under various operation and control strategies. The proposed models are verified and analyzed with different case studies. In terms of operation economics, the simulation results validate the superior performance of EVs based microgrid (MG) model in the coordinated charging and discharging mode. Further, the comparison of both algorithms shows better results with the ABC algorithm in terms of cost minimization of all objectives. ABC is better in V2G based microgrid with coordinated charging and discharging mode while its performance is significant during a large number of EVs (i.e., 700 EVs). Moreover, the load shedding scenarios are integrated which enables the MG system to operate in dual mode (i.e., seamless transition). In this paper, the main contribution involves penetration of EVs as dynamic load and its V2G impact in a coordinated or uncoordinated way, application of ABC algorithm for this particular load problem with improved results, and inclusion of short-term load shedding scenarios.

Optimization of energy costs for drying ferrocene-containing wastes of winemaking

The paper is devoted to the study of the processes of heat and mass exchange, when drying ferrocene containing wastes of winemaking (FWW), and to the preparation of those wastes to be fed to dairy cattle. The goals of the article are: to determine the amount of energy costs for drying FWW that are necessary for calculating the net cost of feed additives, and to estimate the economic efficiency of the suggested technological and technical solutions; and also to justify and develop the methods for estimating quantitative parameters when removing liquid from the wastes of wine production. Moisture and heat exchange are studied in the “heat agent - drying object” system for convective and infrared drying. A combined method is proposed for drying winemaking waste, to substantiate the sequence of stages and parameters of the process, a graph-analytic model, that is dwelled on the basic principles of convective and infrared drying, is designed. Numerical calculations helped to obtain graphical dependences of the energy costs of the drying process on the air velocity in the drying chamber at different temperatures of the air (for convective and infrared). The model of drying in the form of comparative graphical dependences of the reduced value of the drying speed to the heat flux on the moisture content of the mass subjected to drying is presented. Given the above data, it is recommended to use combined two-phase drying: in the first phase, use infrared radiation, when in the second phase - convective way, in order to reduce the humidity of ferrocene containing winemaking wastes from initial moisture content of 80% to the required value of 18-20% with the further use as neutralizing additives in the feed of dairy cattle. It is also suggested to use the renewable energy sources for heating in order to cut the expenses in the phase of convective drying.