Operation Of Biogas Plants Research Articles

Untargeted Metabolomics Profiling of Bioactive Compounds under Varying Digestate Storage Conditions: Assessment of Antioxidant and Antifungal Activity.

The rapid development of biogas plants in China has generated large quantities of digestate. The disparity between the continuity of biogas plant operation and the seasonality of digestate utilization has led to the need to store digestate. Therefore, untargeted profiling of bioactive compounds in the digestate stored under aerobic and anaerobic conditions was performed. The antioxidant and antifungal activity of digestate stored under varying conditions was likewise assessed. The results delineated that digestate storage under varying conditions brought about the degradation of organic acids, alkenes, aldehydes, alcohols, ketones, ethers, amino acids and their derivatives, and esters, leading to the stabilization of digestate components. Together, these new data revealed that digestate storage for up to 20 days under aerobic conditions promotes glycine, serine, and threonine degradation pathways and enhances biotin and vitamins production. In contrast, anaerobic storage enhances the taurine and hypotaurine metabolic pathways and increases the derivation of antimicrobial substances, such as indole alkaloids. Moreover, digestate storage under anaerobic conditions promotes antioxidant and antifungal activity more than storage under aerobic conditions. These findings can contribute to the future development of high-value agricultural products from digestate and the sustainability of biogas plants. Further studies are required for the untargeted metabolomic of digestate under storage to explore the underlying mechanisms of promoting disease resistance by the digestate upon land application.

Model Predictive Control: Demand-Orientated, Load-Flexible, Full-Scale Biogas Production.

Biogas plants have the great advantage that they produce electricity according to demand and can thus compensate for fluctuating production from weather-dependent sources such as wind power and photovoltaics. A prerequisite for flexible biogas plant operation is a suitable feeding strategy for an adjusted conversion of biomass into biogas. This research work is the first to demonstrate a practical, integrated model predictive control (MPC) for load-flexible, demand-orientated biogas production and the results show promising options for practical application on almost all full-scale biogas plants with no or only minor adjustments to the standardly existing measurement technology. Over an experimental period of 36 days, the biogas production of a full-scale plant was adjusted to the predicted electricity demand of a “real-world laboratory”. Results with a mean absolute percentage error (MAPE) of less than 20% when comparing biogas demand and production were consistently obtained.

Integrated multi-omics analyses reveal the key microbial phylotypes affecting anaerobic digestion performance under ammonia stress

Ammonia inhibition is one of the most common causes of instability during the operation of commercial biogas plants. Here, the sensitivity of different functional bacteria to ammonia stress, the ability of functional bacteria to adapt to ammonia stress, and the key phylotypes affecting anaerobic digestion (AD) performance were studied by evaluating the process performance, active microbiome, and protein expression patterns during endogenous ammonia accumulation using integrated metagenomics and metaproteomics analyses. Acetate metabolism was most sensitive to ammonia stress, and the expression activity of methyl-CoM reductase of Methanothrix was inhibited at relatively low ammonia concentrations, which resulted in the accumulation of acetate and other short-chain volatile fatty acids (VFAs) through feedback effects. As the AD process progressed, the abundance of active Methanosarcina with high ammonia tolerance increased, and the activity of their enzymes related to acetoclastic methanation was significantly up-regulated, which resulted in the complete restoration of acetate metabolism and AD performance. Thus, microbial communities can cope with acetate metabolic repression through self-optimization. In contrast, when the total ammonia nitrogen (TAN) and free ammonia nitrogen (FAN) increased to 4846.95 mg N/L and 337.46 mg N/L, respectively, propionate (and no other VFAs) accumulated in the digester, which was accompanied by a decrease in methane yield by more than 65%. At this time, the abundance of active syntrophic propionate-oxidizing bacteria (SPOB) decreased by 52%, and the expression of key enzymes related to propionate degradation was significantly down-regulated. The proportion of down-regulated differentially expressed proteins in the dominant Pelotomaculum was as high as 94%, indicating the severe suppression of the growth of these functional bacteria as well as their inability to easily acclimate to ammonia stress. Thus, SPOB appeared to be the key microbial phylotypes affecting AD performance under ammonia stress. Ammonia inhibited the methylmalonyl-CoA pathway of Pelotomaculum by inhibiting the expression of succinyl-CoA synthase, which resulted in the suppression of syntrophic propionate oxidation. The results of this study provide new insights into the microbial mechanism of ammonia inhibition and identify the key phylotypes affecting AD performance under ammonia stress. Our findings also shed light on the microbial regulatory targets of nitrogen-rich waste anaerobic digesters.

MANAGEMENT OF AGRICULTURAL POST-PRODUCTION RESIDUES FOR ENERGY PRODUCTION IN RURAL AREAS - A CASE STUDY

The paper shows - from the point of view of the need to increase the share of energy obtained from renewable sources, examples of "good energy practices" for four locations. This goal is primarily related to the reduction of climate changes caused by high GHG emissions - but also fits in the "zero waste" strategy in the case of using post-production biomass as an energy source. Examples are described showing four RES installations in operation - two at the farm level and two at the municipal level. The data for the individual installations are summarized. All the described installations are located in north-eastern Poland - in the Warmian-Masurian Voivodeship. Biogas installations in two farms are described - one micro installation and one large. A large installation has a power of 0.999 MWe and 1.1 MWt, and a small one – 11 kW of electric and thermal power. In the case of a large biogas plant, the investment cost for W is 21% of the investment cost for a micro biogas plant. Operating costs of biogas plant operation in relation to the installed capacity - micro-scale biogas plants are only 59% of costs for a large biogas plant. It was shown how a particularly large biogas plant can cooperate with the local community - by distributing heat from cogeneration to the municipal heat network. On the other hand, two municipalities that have invested in ecological heat sources are described. In one case, it is biomass-fired boilers - providing some of the residents of the commune and communal buildings with domestic hot water. and central heating - and in the second - installation of heat pumps to cover the needs of the municipal school. These examples show that it is possible to implement such solutions. At the same time - local communities, which are often opposed to investing in renewable energy source (RES) in their vicinity, should be made aware of what social, energy and general benefits are associated with such solutions. Due to the calculated factor of 0.2% of biogas installations in relation to the number of potential farms where such installations are possible and justified - the promotion of such "good energy practices" is absolutely necessary.

Long-Term Assessment of Temperature Management in an Industrial Scale Biogas Plant

Temperature management is one of the primary considerations of biogas plant operation, and influences physical and biochemical processes. An increase in the temperature leads to an increase in the hydrolysis rate of the feedstock, while it can inhibit microorganisms taking part in different stages of anaerobic digestion. Because of the complexity of the biochemical processes within the anaerobic digestion process, there is a lack of knowledge about the effects of temperature and temperature change on efficiency. Moreover, the impact of stirring directly affects the temperature distribution in the anaerobic digestion reactors. In this study, the temperature management in an industrial-scale biogas plant was examined, and the effect of small temperature changes (from the operation temperature 42 °C) on the efficiency was studied in a laboratory under two different conditions: with stirring (at 40 and 44 °C) and without stirring (at 40 and 44 °C). The examination results from the biogas plant showed that heat transfer in the reactor was not sufficient at the bottom of the digester. Adaptation of the post-digester samples to the temperature changes was more challenging than that of the digester samples. From digestate samples, higher biomethane generation could be obtained, resulting from sufficient contact between microorganisms, enzymes, and substrates. Overall, differences between these changing conditions (approx. 6 NmL CH4 g VS−1) were not significant and could be adapted by the process.

THE REQUIRED CAPACITY OF THE BIOGAS PLANT

One of the ways of increasing the efficiency of a biogas plant is selecting the heater power to maintain the operating mode. Biogas plants make it possible to dispose of animal husbandry waste, reducing the land area for waste storage, and thereby reduce environmental pollution. The introduction and experience of using them in Russia are hindered by many factors, including the lack of methods for designing biogas plants that would take into account climatic conditions and operating modes. (Research purpose) The research purpose is to determine the required power for heating the substrate, depending on the possible modes of waste disposal, processes of biomass loading and thermal insulation of the bioreactor. (Materials and methods) With energy saving, it is important to choose the necessary optimal power of heating devices to maintain a given operating mode in a bioreactor. During processing, energy is spent on heating the biomass to the required fermentation temperature and on heat losses, while it is necessary to distinguish between the starting and steady-state operating modes of biogas plants that differ in power consumption. The power consumption is affected by the conditions of biomass loading in mesophilic and thermophilic modes of operation of biogas plants. Using the ratio of starting to steady-state power, it is possible to assess how different modes of operation of the biogas plant affect its required power. The article presents the example of a 100 cubic meter reactor with various internal and external parameters. (Results and discussion) Results are presented as the dependence of the ratio of starting power to the power of the steady-state mode on the thickness of the insulation of the biorector, by which the required power can be determined. (Conclusions) The conducted studies allow us to approach the methodology of a reasonable choice of the required capacity of a biogas plant in various technological modes of fermentation of biomass.

Efficiency of using individual biogas digesters for processing biowaste of rural households in Ukraine

Abstract Biogas production is a promising area for the development of alternative energy sources in Ukraine and in the world. The aim of this study is to investigate the possibilities of implementing individual biogas digesters in rural households in Ukraine and to determine the energy, economic and environmental benefits of biogas production from organic waste. As part of the study, an analysis of the main characteristics of households in Ukraine was carried out and the prerequisites for organising biogas production by households were determined. Household incomes were analysed, and it was determined that the costs of housing and communal services tend to grow. It was determined that the price of natural gas for the population over the past years has increased by almost 10 times, and thus replacing natural gas with biogas becomes especially relevant. The positive economic and environmental factors of using individual biogas plants in rural areas were characterised, and the theoretically possible potential of biogas production from household waste in Ukraine was calculated. Following this, a number of government measures to promote the proliferation of individual biogas plants were proposed. The economic benefits from the use of biogas were determined, including energy autonomy, the possibility of using organic fertilisers, and additional profit from the sale of surplus products. The ecological effect of using individual biogas plants will include the possibility of recycling organic waste and waste water, thus improving the hygiene situation for individual users. Individual biogas digesters constitute a promising direction in Ukraine in terms of energy (production of biogas) and ecological areas (household waste management and production of organic fertilisers). At present, the sector of individual biogas production from biowaste is not widely spread in Ukraine, due to the lack of state support and insufficient awareness among rural residents about the benefits of biogas technology. In this research we determined the economic efficiency of the construction and operation of an individual biogas plant. Considering the average price of natural gas in Ukraine (229.9 USD per 1000 m3), the use of a biogas plant would save 144.1 USD annually on the purchase of natural gas. Given that the cost of building an individual biogas digester is 825.6 USD, its payback period would be 4.7 years.

Leaving well-worn paths: Reversal of the investment-uncertainty relationship and flexible biogas plant operation

We propose a dynamic investment model to study investment behavior for power grid-stabilizing, flexibility-providing energy projects. Our model adds to the literature in several novel ways. First, we use time series-based optimization approaches (i.e., a single-unit commitment model) to determine, validate and parametrize exponential Ornstein–Uhlenbeck (OU) revenues as a state variable for the real options model in a biogas plant flexibilization case study. Second, from a theoretical perspective, our findings suggest that for specific revenue processes (i.e., exponential OU processes) the well-known option-driven incentive to wait acts alongside a new uncertainty-driven intrinsic investment incentive. Hence, higher uncertainty may lead to earlier investment. Third, we show how the results influence managerial decision making in practice and can be used to shape the design of an optimal renewable support scheme.

Influence of Selected Substrate Dosage on the Process of Biogas Installation Start-Up in Real Conditions

This paper presents an analysis of selected parameters of biogas, formed as a result of methane fermentation, during the start-up of a biogas installation, using water, liquid manure, corn silage and inoculated sludge as substrates. Moreover, the dependencies between the type and amount of the supplied substrate and the obtained parameters of biogas and fermentation mass are presented and explained. During 59 days after the start of the biogas plant operation, the methane content increased to a maximum of about 62%. Finally, after about 80 days, the methane content stabilized at a constant level of about 55%. CO2 content increased from about 6% (day 32) to about 46% (day 84), with a clear linear correlation between carbon dioxide and methane content. Oxygen content decreased from about 18% (day 32) to about 0.3% (day 84) as the resulting gases displaced air from the reactor, and there was also a linear correlation between oxygen and methane content. The hydrogen sulfide content decreased from about 76 ppm (day 32) to about 0 ppm (day 47), after which, in a clear power correlation to the methane content, it maximally increased to 890 ppm (day 61). However, for the sake of safe engine operation, the desulfurization plant was started on day 63, which resulted in a H2S concentration below 50 ppm on day 74 of the experiment. The final hydrogen sulfide content was 9 ppm on day 84 of the biogas plant start-up.

Indicative Marker Microbiome Structures Deduced from the Taxonomic Inventory of 67 Full-Scale Anaerobic Digesters of 49 Agricultural Biogas Plants.

There are almost 9500 biogas plants in Germany, which are predominantly operated with energy crops and residues from livestock husbandry over the last two decades. In the future, biogas plants must be enabled to use a much broader range of input materials in a flexible and demand-oriented manner. Hence, the microbial communities will be exposed to frequently varying process conditions, while an overall stable process must be ensured. To accompany this transition, there is the need to better understand how biogas microbiomes respond to management measures and how these responses affect the process efficiency. Therefore, 67 microbiomes originating from 49 agricultural, full-scale biogas plants were taxonomically investigated by 16S rRNA gene amplicon sequencing. These microbiomes were separated into three distinct clusters and one group of outliers, which are characterized by a specific distribution of 253 indicative taxa and their relative abundances. These indicative taxa seem to be adapted to specific process conditions which result from a different biogas plant operation. Based on these results, it seems to be possible to deduce/assess the general process condition of a biogas digester based solely on the microbiome structure, in particular on the distribution of specific indicative taxa, and without knowing the corresponding operational and chemical process parameters. Perspectively, this could allow the development of detection systems and advanced process models considering the microbial diversity.

The Efficiency of the Biogas Plant Operation Depending on the Substrate Used

The study aimed to assess the most efficient solution of raw material management in selected biogas plants into the concept of circular economy and evaluate the most efficient solution of raw material management in selected biogas plants due to the quality and quantity of the feed and the final product obtained, which is biogas, as well at the closed circulation (circular economy). The study evaluated two agricultural biogas plants on a real scale and one at the sewage treatment plant (in real scale) in northeastern Poland. A year-long study showed that in technical terms, the best work efficiency is achieved by agricultural biogas plants processing: silage, manure, apple pomace, potato pulp (biogas plant No. 1), followed by biogas plant No. 3 processing chicken manure, decoction, cattle manure, poultry slaughterhouse waste (sewage sludge, flotate, feathers), and finally, the lowest efficiency biogas plant was No. 2, the sewage treatment plant, which stabilized sewage sludge in the methane fermentation process. Moreover, based on the results, it was found that agricultural biogas gives the best efficiency in energy production from 1 ton of feed.

Design of profitable networks of biogas plants in Chile

Locations for profitable biogas plant networks for the generation of electric power were investigated. A population-based location algorithm was developed. Using information regarding biogas power and plants cost found in the literature, together with data on the location and number of dairy cows of 572 farms in southern Chile, economic analises were made. Each farm was evaluated as a potencial location for a biogas plant, both alone and as part of different combinations. The algorithm starts with a population of one-plant combinations and generates new iterations by inserting additional biogas plants as long as the NPV increases. In each iteration, only a diverse subset of the combinations is selected. This approach is compared to the application of the ArcGIS Network Analyst (NA) function for the set cover problem, usually employed in the literature for biogas plant network location problems. Using the technical parameters for the operation of biogas plants found in the literature, we show that the proposed algorithm gives better results than the NA algorithm in terms of profit. Biogas plant networks were obtained for different scenarios of biomass availability (40–80%), energy sale prices (90–100 USD/MWh) and transport costs (0.3–0.4 USD/tkm). The results indicate that 18 of the 572 farms would be good candidates to site a biogas plant in at least one of the scenarios. A maximum of eight farms appear in a scenario with 80% of biomass availability and a transport cost of 0.3 USD/tkm. This solution reaches a NPV of USD 3,538,394, which exceeds by more than 70% the USD 2,075,057 obtained with the solution retrieved by the NA function. As the algorithm presented obtained better results than the ArcGIS network analyst, it can be used as an appropriate design tool for biogas plant networks.

Swine manure biogas production improvement using pre-treatment strategies: Lab-scale studies and full-scale application

The paper deals a case study of solid-liquid separation (SLS) approaches for swine manure biogas recovery in a system configured to treat solid fraction on Continuous Stirred Tank Reactor (CSTR) and liquid fraction on Covered lagoon biodigester (CLB) in a large scale. At the same time, scale down reactors on laboratory scale were operated under same conditions. Biogas productivity of full-scale CSTR showed an average of 0.65 ± 0.23 NLbiogas L−1reactor d−1, while CLB was around 0.18 ± 0.05 NLbiogas L−1reactor d−1. The results of lab-scale can predict digestion capability and methane recovery for full-scale system. Economy in biogas plant construction and operation, biogas generation constantly and digestate treatment system implementation are the mainly benefits to use SLS followed different reactor configurations. Biological desulfurization process was dependent of biogas retention time. By the way, operational improvements made on large scale have allowed an advance in the productivity and biogas quality.

Seasonal flexibilisation: A solution for biogas plants to improve profitability

Abstract It has been shown that the power demand-oriented operation of biogas plants contributes to the challenges of future energy systems with high shares of fluctuating renewable energies. This flexibilisation is usually short-term and can improve profitability. Long-term seasonal flexibilisation could further overcome present low heat utilisation rates due to the low heat demand of district heating in summer and constant biogas production across the year. To assess the benefits of seasonal flexibilisation for different biogas plants, we apply an existing model approach for analysing biogas repowering and optimising the combined heat and power (CHP) despatch. Plant-specific constraints and historical spot market data are used to determine power revenues, heat utilisation rates, greenhouse gas emissions and the profitability of the biogas plants. For different setups of CHP units and heat demand levels, the seasonal operation mode is compared with the non-seasonal reference mode. The economic benefit of seasonal flexibilisation is on average 10 €/MWhel when comparing the same rated power output and varies with plant size and CHP-setup. Increases in the heat utilisation rate are the main driver. Benefits increase with additional installed CHP capacities and rising heat prices. As gas production changes over the year, higher CHP capacities increase flexibility in winter and align the power market revenues of seasonal and non-seasonal operation. Very high heat prices even offset economies of scale. However, seasonal flexibilisation does not allow economic operation in Germany under current market conditions. The dependence on other sources of revenues and extended support schemes therefore remains.

The use of fuzzy sets considering the operation of biogas plants under the conditions of voltage unbalance

A feature of problem solving of energy security in Russia at present time is environmentally friendly energy production. Numerous research works of the quality of electric energy reveal a significant discrepancy with the permissible standards. This will require not only an increase in the contribution of various energy sources to the overall energy balance, but also a more careful approach to the electric power quality. A significant part of the raw materials of agro-industrial facilities is used to generate electricity with an efficiency coefficient of 31%. Performance of electric power varies from 48 to 104 kWh per ton of feedstock, as a rule, organic waste. Disfunction of conversion units is accompanied by significant harm. The high harmonic of current and voltage adversely affect the operation of current-using equipment, electronic devices, distance control elements, relay protection, automatic equipment operation and protection tripping units.

Quantification of the impact of partial replacement of traditional cooking fuels by biogas on global warming: Evidence from Vietnam

Biogas production in small-scale plants is considered to be an appropriate technology for energy supply to rural households. It is being beneficial to the environment through replacement of traditionally used cooking fuels (fuelwood and liquified petroleum gas) and so possibly resulting in the reduction of global warming potential . The problem of biogas loss due to leakage or intentional release results in direct methane emissions, threatening to neutralize the environmental benefits of biogas use. The objective of this study was to quantify the impact of partial replacement of traditional cooking fuels by biogas from two most prevalent sizes of biogas plants (BGPs) (6 m 3 and 9 m 3 ). The two-phase data collection performed in central Vietnam included semi-structured interviews with biogas plant owners, masons and biogas facilitators. The quantification of Global Warming Potential (GWP) from small-scale biogas plants accounted for four different scenarios: 1. Original scenario (before biogas implementation), 2. Current state scenario (after biogas implementation with reported 40% loss of biogas), 3. Zero-loss scenario (after biogas implementation without biogas loss) and 4. Optimal scenario (the exclusive use of biogas). Currently, biogas covers over 60% majority of cooking energy mix of surveyed households. Households’ consumption of traditional fuels (fuelwood and liquified petroleum gas) was reduced on average by 58% for fuelwood and 65% for LPG. In comparison of Original and Current state scenario , GWP was reduced on average by 11%, suggesting that in the current state, reduction of GWP due to biogas use is under its potential. Two potential scenarios (Zero-loss and Optimal) resulted in the significant GWP reduction, however their achievement is rather theoretical. The break-even point of biogas loss was determined at 53–55%. The findings illustrate the unfulfilled potential of GWP reduction by using biogas and emphasize the problem of significant biogas loss, compromising the environmental benefit of biogas plants. • Proper operation of biogas plants reduces greenhouse gases emissions. • Methane emissions from biogas loss are higher than those from its combustion. • Biogas covers 60% of households’ cooking needs. • Biogas losses compromised environmental benefit of global warming potential.

Challenges and potential to adopt biogas technology: A case study of Faisalabad, Pakistan

In the past few years, pertaining to energy shortage, Government of Pakistan promoted the biogas plants in specific rural areas. This study is an attempt to explore the success and failure adopted biogas plants by the farmers in rural areas of Faisalabad, Pakistan. In this study, the researcher selected tehsil Faisalabad of district Faisalabad based on the availability of biogas plants installed by the Government, NGO/INGOs and private contractors in the past few years. Snowball sampling method was used to identify the sample size. Total 51 biogas adopters participated in the study as respondents. Primary data were collected through face to face interviews on a structured questionnaire. Results shows that 33.3% of respondents were fully satisfied with their biogas plants. Close to one fourth (23.5%) of respondents were partially satisfied while 43.1% of respondents were not satisfied with their biogas plants. More than half (56.9%) of biogas plants were in working condition and 43.1% of biogas users abandoned for many reasons. The major reasons for the inspiration behind construction and installation of biogas plants were subsidy, cases of existing biogas plant owners, social advantages/reputation, motivation from construction/installation agency and conservation of time and energy. Whereas, for the reasons such as frequently come across technical problems, unavailability of technicians, difficulty in operation of biogas plant, insufficient gas for food preparation /lighting, escape of gas through joints/connections and extra workload were the reasons compelling farmers to abandoning the biogas plants. It was found that operation and maintenance of biogas plants is one of the major issues due to untrained, partially trained owners, unavailability of technicians and skilled operators.

Techno-Cost-Benefit Analysis of Biogas Production from Industrial Cassava Starch Wastewater in Thailand for Optimal Utilization with Energy Storage

This paper applied the optimization model of the biogas utilization pathway with the biogas utilization availability assessment to examine the effect of biogas system parameters on biogas utilization. The model analyzes the biogas utilization pathway availability and maximum profit to value added and productivity in biogas from industry wastewater in Thailand. The results showed that profit and availability of biogas utilization reduce biogas loss to flare, that it entails several conversion processes. The scenario for the biogas utilization pathway and storage with biogas production technology improves. Evaluated are operation time, waste and energy demand to the cassava starch usage during the production for 50–1000 tons per day. Five mature biogas production technologies were benchmarked evaluated based on the chemical oxygen demand removal efficiency and biogas yields. Subsequently, low-, medium-, and high-pressure storages and a battery storage were considered and discussed in this paper as suitable energy storage for each desired biogas plant operation. Five biogas utilization pathways, including converting biogas into thermal energy, generating electricity, and upgrading biogas to compressed biogas, were then compared. Those improved options in the scenario select suitable biogas technologies, storage, and application for value-added, reduce the environmental problems and renewable energy production from wastewater.

Integration of Artificial Intelligence into Biogas Plant Operation

In the biogas plants, organic material is converted to biogas under anaerobic conditions through physical and biochemical processes. From supply of the raw material to the arrival of the products to customers, there are serial processes which should be sufficiently monitored for optimizing the efficiency of the whole process. In particular, the anaerobic digestion process, which consists of sequential complex biological reactions, requires improved monitoring to prevent inhibition. Conventional implemented methods at the biogas plants are not adequate for monitoring the operational parameters and finding the correlation between them. As Artificial Intelligence has been integrated in different areas of life, the integration of it into the biogas production process will be inevitable for the future of the biogas plant operation. This review paper first examines the need for monitoring at the biogas plants with giving details about the process and process monitoring as well. In the following sections, the current situation of implementations of Artificial Intelligence in the biogas plant operation and in the similar industries will be represented. Moreover, considering that all the information gathered from literature and operational needs, an implementation model will be presented.

Оцінка експлуатаційної надійності систем автоматичного керування біогазовими установками

The issues of ensuring the reliability of the control system of a biogas plant should be given special attention in the design of the system, in the manufacture of all hardware, in the development of mathematical and software, in the creation of information support, during installation and commissioning, during the technical operation of the system. A research aim is development of measures on providing of operating reliability of the systems of automatic control by biogas plants due to their optimal service. The choice of the optimal strategy allows you to achieve the best results from the operation of biogas plants without attracting additional resources. The importance of the early resumption of the operation of control systems after failures, as well as planning and organizing their effective preventive maintenance, is noted. The need for collection, processing, analysis and use of data on the reliability of control systems is noted. According to the obtained values of failure time and recovery time, the values of the readiness factor for devices of each type and for the control system as a whole are determined. Analysis of the obtained data on failure time, recovery time after failure, readiness factor will allow to develop organizational and technical measures, the implementation of which will increase the operational reliability of the control system of the biogas plant. To assess the reliability, a complex integral indicator is proposed that characterizes the state of normal functioning of the system. Changing the strategy of preventive maintenance and the organization of work to restore the operation of system devices after failures, based on the analysis of the value of the coefficient of normal functioning, it is possible to obtain the necessary values of the reliability of automatic control systems for biogas plants.