Assessment Of Production Potential Research Articles

Energy recovery and hydrogen production potential assessment in a natural gas pressure reduction station

An energy recovery and hydrogen production potential assessment study was carried out for a pressure reduction station by integrating a turbo expander-electrolyzer system. The hydrogen and electricity production potentials were investigated based on the natural gas flow rate. For this purpose, a turbo expander-proton exchange membrane electrolyzer system was considered, using standard data of an RMS-A type PRS. The variation in energy recovery potential was calculated according to the natural gas flow rate and inlet-outlet parameters such as temperature and pressure. By using these parameters, energy balance calculations and energy profit rate were evaluated. The energy profit rate was calculated as 274 kWh for 50.000 Sm3/h volumetric flow rate. Based on real data for a PRS, the electricity and hydrogen production potential were found to be 13.654.567 kW of electricity and 1.532.325,6 Nm3 of hydrogen production with the annual natural gas flow. According to the sensitivity analysis, increasing the station inlet temperature and outlet pressure negatively affected the energy profit rate, while increasing the inlet pressure had a positive effect. The levelized cost of electricity was calculated as 0,056 $/kW, while the levelized cost of hydrogen was found to be 1,989 $/kgH2. These results indicate that energy recovery from the PRSs is feasible and an opportunity to ensure sustainability.

Spatial correlation-based machine learning framework for evaluating shale gas production potential: A case study in southern Sichuan Basin, China

Assessment of production potential and prediction of sweet spots in unexploited shale gas wells are crucial technologies for achieving a high success rate in drilling. Most existing methods are only applicable for yield forecasting of shale gas wells with known geological and drilling/completion factors after production. In addition, the shale gas reservoir in the Longmaxi Formation in the southern Sichuan Basin of China is characterized by low porosity, low permeability, and diverse gas reservoir states. Thus, forecasting production from unexploited wells and predicting the exact location of the sweet spot under complex geological conditions have become challenging topic for both academia and industry. According to the first law of geography, shale gas wells that are closer in space have more similar geologic features. Based on this foundation, a machine-learning prediction model based on spatial correlation (SC-MLPM) is proposed for evaluating potential production of shale gas wells in the Changning play located in Longmaxi Formation in the southern Sichuan basin, China. Specifically, an improved K-nearest neighbor algorithm (SC-KNN) based on the spatial correlation characteristics of the exploited wells is designed to estimate the relevant geological factors of the unexploited wells in the same area. In addition, an extreme gradient lifting model based on Huber loss function (Hu-XGB) is developed to predict the potential production of unexploited shale gas wells, and then the shale gas sweet spot area in the research area is predicted quickly and accurately. The experimental results on 88 shale gas wells from Changning play show that the mean relative error of the prediction results of the proposed method is 9.8%. Furthermore, the results also determine that the sweet spots of shale gas wells in the research area are mainly developed in the northwest and northeast directions, and gradually become worse in the southeast direction. Eventually, experimental results for the Fox Creek play in Canada show that the proposed model obtains better predictive performance as the number of gas wells increases, and also verifies the generalizability. This work provides a basis for the efficient development of the research area.

Evaluation of mushroom production potential by combining spatial optimization and LiDAR-based forest mapping data

High-resolution forest mapping technology is a powerful data source to assess the production capacity of forests regarding wood and non-wood ecosystem services. The study shows how to evaluate the potential benefits from forest management treatments devoted to increase mushroom supply. The study was developed in Central Spain, over a forest with important cultural and economic values attached to mushrooms. Airborne laser scanning (ALS), mushroom production models and mathematical programming as spatial optimization method are used to sequence, spatially and temporally, silviculture-oriented actions to enlarge mushroom provisioning. We present a tactical forest planning solution to incentivize mushroom yield driven by clustered silvicultural treatments applied to fine-grained segments derived from ALS data, and along a 5-year plan while embedding temporal and spatial dependencies. Mushroom yield can increase up to 18 % from current conditions if all area is treated. Our model integrates constraints to optimize the selection of segments yielding the highest benefits in terms of mushroom yield and timber removals during the treatments. The temporal sequencing was successful, so the annual interventions are scheduled aligned in space and in time to ease the actionability and realism of model outputs. The assessment of production potential is an informative, spatially and temporally explicit exercise to inform decision-makers on investment opportunities to enhance the supply of non-wood ecosystem services, tested with mushroom in this study but extendable to more non-wood ecosystem services.

Analysis of 3E (Energy-Economical-Environmental) for Biogas Production from Landfill: A Case Study

Nowadays, generating energy is discussed as a paramount option in waste management, because the share of energy from waste is increasing annually. The ever-increasing need for energy and limitations of using fossil resources, and also the increase in environmental pollution from consuming these resources have made the use of renewable energies of especial importance. In this research, we first studied renewable energies, followed by technologies related to the biogas system. Biogas systems have been referred to by landfill and discussed comprehensively in this scheme for utilization. For this purpose, the input source of this system is considered as the volume of garbage in the city of Germi as the study area. In the next step, the amount of garbage produced in this city was extracted and the Landfill software was used for methane production potential assessment from this system and the Homer software was used for economic analysis and reliability evaluation. The most important results are payback period, which is about 10 years, and the amount of electricity produced per year, which is 11658.265 MWh.

ANALYSIS OF MANAGEMENT OF PRODUCTION POTENTIAL OF MACHINE-BUILDING ENTERPRISES OF KHARKIV REGION

The purpose of the article is to study the management of production potential of machine-building enterprises in the Kharkiv region, 9 enterprises were analyzed and their production indicators were studied. The effectiveness of the production potential is characterized by production, technological, financial and innovative components. It should be noted that since the production potential is a component of the economic potential of the enterprise, the structure presented in Fig. 1 is quite conditional. If we consider the production potential from this point of view, then, for example, its innovative component is inextricably linked with the innovative potential, and the financial component – with the financial potential. Sustainable development and competitiveness of an industrial enterprise depends on the level of production potential, which is the foundation of production activity. The production potential of an industrial enterprise is a complex, dynamic and stochastic system consisting of a number of interconnected components. At the legislative level, an attempt has been made to build a single model of an integrated indicator of the financial condition of large, medium and small enterprises. According to the approved IFI Procedure for assessing the financial condition of a potential beneficiary of an investment project, the level of financial condition of the enterprise is determined depending on the value of the integrated indicator, which allows the classification of enterprises in the industry or region. At the same time, questions about the structure of innovation potential remain controversial in the scientific literature. The development of an integrated module for the assessment of production potential is the first stage of the presented methodological approach. The next step is to improve the information subsystem of monitoring the financial and economic activity of industrial enterprises, which in turn is an integral part of the IT system of enterprise management. At this stage, it is necessary to develop software that provides analysis and comprehensive assessment of production capacity. After integrating the software module with IS monitoring, we have to test the software using the collected database on the financial and economic activity of the enterprise. Comparing the results of the assessment with the assessment from the analytical reports of independent experts will allow to determine the level of adequacy of the presented model and software. Methodology. The analysis was conducted on the basis of financial statements of enterprises of the machine-building industry of Kharkiv region for the period 2018, 2019, 2020. Results of the study show that the enterprises of the machine-building industry have low indicators of production potential, so enterprises need to change the strategy in the market to improve production capacity to increase competitiveness and improve. Practical implications. Given that companies have lost traditional markets in recent years and products are not in high demand in European markets, it is necessary to develop ways to improve the management of the potential of machine-building enterprises, seek new markets and strengthen cooperation with international companies. Value/originality. The study will help the management of enterprises to more effectively manage the enterprise and improve their production capacity.

Cluster organization of extractive industries in northern regions: a comprehensive assessment method

The spatial organization of productive forces, the efficient use of available facilities, and the production potential assessment of economic sectors in a given region are topical issues. The Republic of Sakha (Yakutia) is a large resource-dependent region of Russia, remarkable for the geographical dispersion of deposits over a vast territory and the complex transport and power supply infrastructures. This paper presents a comprehensive assessment of the feasibility of cluster organization in the subsoil use sector in the Republic of Sakha (Yakutia), the Russian Federation, factoring in the existing and prospective economic zoning and the existing potential. The republic was divided into zones based on a cluster framework of the subsoil users. The study used statistical data on the municipal districts and financial indicators of the extractive industry companies. The integrated method was applied in the assessment, and the performance index of the identified cluster territories was calculated on a ten-point scale. The identified zones were rated by resource and production potential. The general cluster zone performance index was calculated. It appeared feasible to cluster the extractive industry in the studied region as it can increase competitiveness of local companies and contribute to the socio-economic development of its municipal districts. The proposed method can be applied for comprehensive assessment of the subsoil use sector in northern territories.

Assessment of production potential of long-linted Gossypium arboreum L. genotypes under different sowing times

BackgroundGossypium arboreum is one of the cultivated diploids which has inherent resistance against insect pests and diseases, can withstand moisture stress, needs less nutrients and is suitable for erratic, less rainfall and marginal soils. Due to its smaller boll size and poor locule retentivity, adoption of species by farmers is very low. So, best long-linted G. arboreum genotypes with high yielding potential and suitable sowing time will be identified for rainfed tracts of cotton cultivated areas in India.ResultsThe pooled analysis results found that the significantly highest mean seed cotton yield was recorded with Phule Dhanwanthry (1069 kg/ha) which was on par with K12 (1027 kg/ha), DLSA 17 (977 kg/ha) and PA 812 (951 kg/ha). Planting at 4 August yielded the significantly higher seed cotton yield (1345 kg/ha) in comparison with 4 September sowing (536 kg/ha). The interaction results in pooled data revealed that Genotype PA 812 planted at 4 August registered the significantly highest seed cotton yield (1487 kg/ha) which was on par with all genotypes sown on 4 August except PA 402. Amongst long-linted genotypes, PA 760 recorded the significantly highest upper half length (29.9 mm), mean length (24.9 mm) and fibre strength (27.0 g/tex) and fibre quality index (349.7); which was on par with DLSA 17, PA 812 and PA 402. The quality characters had not been influenced significantly by different times of sowing.ConclusionsThe results concluded that the significantly highest mean seed cotton yield was recorded with Phule Dhanwanthry (1069 kg/ha) which was on par with K12 (1027 kg/ha), DLSA 17 (977 kg/ha) and PA 812 (951 kg/ha). Planting at 4 August found that the significantly higher seed cotton yield (1345 kg/ha) in comparison with 4 September sowing (536 kg/ha). Amongst long-linted genotypes, PA 760 recorded the significantly higher fibre quality index (349.7)

A Test of Two Methods for Waste Rock Drainage Quality Prediction: Aqua Regia Extraction and Single-addition Net-acid Generation Test Leachate Analysis

The mobility of contaminants from mine waste can be assessed using different extraction methods. Aqua regia (AR) extraction is the most commonly used method in Finland. Another method is the analysis of leachate from net acid generation (NAG) tests, which is primarily designed for acid production potential assessment. We investigated the performance of single-addition NAG test leachate analysis and AR extraction in drainage quality prediction, using waste rock and drainage water samples from several Finnish waste rock sites. Our objective was to improve interpretation of the AR and single-addition NAG test leachate analysis results in drainage quality prediction. The AR extraction effectively reflected elements that occurred in elevated concentrations in drainage water, though it over-predicted Al, As, Cd, Co, Cu, and Ni in some circumneutral drainages, and Cr in general. The single-addition NAG test leachate analysis also performed well in assessing the mobility of contaminants including Al and Cr at acid mine drainage sites. As the contaminants tend to precipitate in neutral NAG test solution, the usability of the method in neutral mine drainage cases should be further investigated. Furthermore, the conclusions presented in this study are limited to waste rock samples collected from the surface of piles; future work will examine waste rock history, dump cores, drainage quality changes, etc. in more detail.

Formation of Indicators of the Development of Production Potential and the Level of Socio-Economic Development of the Region

The functioning of any complex system is usually assessed by observable parameters that are obvious to the researcher. Depending on the complexity of the system, there can be a fairly large number of such parameters (indicators) that can be measured based on existing measurement systems (scales). This is especially true for complex socio-economic systems. In this regard, at least two main tasks arise: how to determine the state and dynamics of the entire system as a whole and what is the influence and mutual influence of the elements of the system among themselves. One of such complex elements is the production potential of the region, the state and dynamics of which cannot be directly assessed. Usually, to assess it, indices, regression relationships, and an assessment of its main components (primary indicators) are used. This article discusses an approach based on the assessment of production potential using indicators derived from factor analysis. Factor analysis makes it possible to reduce the number of observed features (indicators included in the assessment of production potential) by searching for a smaller number of hidden (latent) factors (we called them indicators). The same approach was used to search for indicators reflecting the socio-economic development of the region. The article also examines the impact of the level of development of production potential on the socio-economic development of the region. At the same time, primary statistical indicators processed using factor analysis were used as the basis of the evidence base. Identified indicators reflecting the development of individual components of production potential. A rating assessment of the regions of the Central Federal District was carried out according to the proposed indicators.

Оцінка виробничого потенціалу інноваційно-активних промислових підприємств на основі ІЕКО-аналізу

The article is aimed at forming a methodological and practical basis for assessing production potential, taking into account the directions of strategic management, which are inherent in the innovatively active industrial enterprises. The essence of the strategy of enterprise development, the main factors of ensuring the efficiency of the strategy are examined. The need for a qualitative reliable assessment of production potential in the formation of an innovative strategy for the development of the enterprise is substantiated. Assessment of the conformity of production potential to the developed strategy allows to decide on the implementation of measures to fulfill the goals of the enterprise or to search for opportunities and reserves to increase the level of production potential. As result of the research, a methodological approach to the assessment of production potential with the help of IECO analysis is developed, this analysis allows assessing the production potential in the context of the main directions of strategic management, the development of which ensures the efficiency of the enterprise: innovative activity, ecological responsibility, competitive positions, organizational adaptability. IECO analysis is based simultaneously on the resource conception and the conception of competitiveness and provides both quantitative and qualitative assessment of production potential. The use of IECO analysis also allows to determine the impact of elements of production potential on its formation and development, which is useful in determining the priority of focusing the attention of the management of enterprises on the relevant element of the potential. Since the analysis results in an integral indicator in a value expression, this analysis can be used as one of the methods for assessing the value of a business. Prospects for further research in this direction are to develop a model for optimizing the components of production potential in order to achieve the maximum possible economic effect and ensure the possibility of using production potential to the full extent.

НАУКОВО-МЕТОДИЧНЕ ЗАБЕЗПЕЧЕННЯ ІНТЕГРАЛЬНОЇ ОЦІНКИ РІВНЯ ВИРОБНИЧОГО ПОТЕНЦІАЛУ В КОНТЕКСТІ СТРАТЕГІЧНОГО РОЗВИТКУ ПІДПРИЄМСТВ

The article is devoted to the analysis, generalization and systematization of existing scientific and methodological approaches to assessing the level of production potential, which is the basis for assessing the quality of the management system and strategic development of the enterprise. It is noted that machine-building enterprises are characterized by the use of groups of indicators of the use of material, energy, labor and financial resources, equipment loading and efficiency of production and economic activities. It is proposed to use certain components of the potential that provide the greatest impact on the activities of the enterprise. The main components of the production potential of an industrial enterprise are determined, which can be divided into two categories - capacity and efficiency of the potential. It is stated that the analysis of the impact of certain factors on the enterprise makes it possible to assess the current level of its development and help determine further development strategy, so depending on the field of research and taking into account their own scientific views, researchers justify different groups of factors influencing enterprise development. It is proposed to introduce an information system of adaptive management of strategic development to ensure effective interaction of structural units of the enterprise in the process of solving the functional tasks of modeling assessment, forecasting, scenario planning and control of production processes. On the basis of the information system the methodical approach to an integrated estimation of production potential of the enterprise is presented. It is concluded that it is most rational to use the methods of multidimensional statistical analysis for integrated assessment of production potential on the basis of indicators that reflect the quantitative indicators of its components. It is noted that the existing scientific and methodological approaches are based on criteria different in objectives and are designed to solve specific problems. Conclusions are made on further development of strategic decisions based on the assessment of the level of production potential.

Technical potential of on-site wind powered hydrogen producing refuelling stations in the Netherlands

This study assesses the technical potential of wind turbines to be installed next to existing fuelling stations in order to produce hydrogen. Hydrogen will be used for Fuel Cell Vehicle refuelling and feed-in existing local gas grids. The suitable fuelling stations are selected through a GIS assessment applying buffer zones and taking into account risks associated with wind turbine installation next to built-up areas, critical infrastructures and ecological networks. It was found that 4.6% of existing fuelling stations are suitable. Further, a hydrogen production potential assessment was made using weather station datasets, land cover data and was expressed as potential future Fuel Cell Electric Vehicle demand coverage. It was found that for a 30% FCEV drivetrain scenario, these stations can produce 2.3% of this demand. Finally, a case study was made for the proximity of those stations in existing gas distribution grids.

Assessment of production potential of flour and its products in Ukraine: a regional dimension

Assessment of production potential of flour and its products in Ukraine: a regional dimension

Assessment of production potential of the forestry complex of the regions of the European North of Russia

Forest resources and their processing are one of the main components of the economic base of the regions of the European North of Russia. At the same time, the mere fact of the presence of rich wood reserves does not at all indicate their effective use. In this regard, the assessment of the existing production potential of the timber industry complex of these constituent entities of the Russian Federation is of particular relevance and importance. The article discusses the approaches of modern researchers to the assessment of both the forest raw materials and the economic and production potential. The author’s technique is proposed, based on the use of reference values and calculations of the integral indicator of the production potential of the timber industry complex. As a result of the study, the author came to the conclusion that the production potential of the timber industry of the regions of the European North of Russia is not fully used – only 62%. In terms of regions, the leader is the Komi Republic, and the outsider is the Murmansk region. The largest reserves are available in the use of forest and market potential. The low level of use of the first is explained by low rates of development of the estimated cutting area, as well as insufficient volumes of reforestation. Low indicators of assessing market potential are due to the fact that low value-added products still dominate in the structure of production of the timber industry complex.

ДІАГНОСТИКА ВИРОБНИЧОГО ПОТЕНЦІАЛУ ПІДПРИЄМСТВА

A market economy requires flexibility in the operation of industrial enterprises, prompt adjustment of the nature and directions of production processes. That is why, in modern business conditions, the importance of not only ensuring the efficiency of economic entities, but also the formation of their potential and prospects for further development. It is proved that some modern industrial enterprises are characterized by the inability to really assess the production potential, incomplete use of available resources, the latest technologies, and modern methods of production management. Production potential has been identified as having several specific characteristics: integrity, interchangeability, interconnection, flexibility, or adaptability. It is noted that the potential concentrates three levels of connections and relationships at the same time: reflects the past, characterizes the present in terms of practical application, future-oriented. Six main methods used in the estimation of production potential are investigated and characterized: economic-statistical, method of production functions, method of cost estimation, index, indicator, and matrix methods. The principles that must be followed when diagnosing the production potential of the enterprise are determined: the completeness of the original data and the universality of the information base; reliability and availability of collected data; the possibility of using two types of assessment of production potential: resource-productive and rating; use of the concept of potential in a certain direction; use of basic and additional indicators; availability of certain evaluation criteria for the main and additional indicators. It is substantiated that the interpretation of the definition of “production potential” is ambiguous, as well as the methods of its evaluation. It is noted that without the study of production potential is not possible strategic development and planning of other activities of the enterprise and the process of managing the production potential of an industrial enterprise is aimed at efficient use of all its resources in the long run.

Evaluation of the Quality of Wood Pellets Available on the Market

The purpose of the research was to assess the quality of wood pellets available on the market. This assessment was made on the basis of the technical analysis and elemental composition: C, H, N, S. 14 different types of wood pellets available on the market were tested, each of them came from a different producer. In addition, an attempt was made to assess the content of organic matter in the tested pellets on the basis of methane fermentation. The innovation in the presented work is the use of biomethane production potential assessment for pellet fuel, which until now has been practised only in the case of substrates for biogas production. The parameters characterizing the tested pellets in energy terms did not differ significantly. The high calorific value and low ash and sulfur content indicated that the output biomass was of good quality. The differences in the production potential of biomethane of the tested pellets do not allow to state unequivocally that methane fermentation can be used to assess the quality of pellets and their contents of organic matter. However, the large BMP differences obtained for individual pellets suggest that some pellets may contain impurities inhibiting the methane fermentation process.

Assessment of production potential and post-harvest losses of fruits and vegetables in northern region of Ethiopia

BackgroundHorticultural crops are sources of vitamins, minerals and dietary fiber, but their cultivation is not widely practiced in developing countries, like Ethiopia due to small-scale farming systems and poor pre- and post-harvest handling techniques. In Ethiopia, particularly in northern region, the production of horticultural crops usually practiced in very few pocket areas, such as at river and lakesides. Thus, the production of fruits and vegetables is just at the beginning stage and getting momentum by governmental and non-governmental organizations. To assess the production potential and post-harvest losses of fruits and vegetables, a survey research was conducted in Tigray Regional State, northern Ethiopia. From the study area, Atsbiwenberta district was selected with its four purposely selected Kebeles (Kebelle is the lowest administrative division of Ethiopia next to districts in each administrative region) (Ruwafeleg, Felegewoni, Golgolnaele and Hayelom) in which 120 respondents (30 households from each Kebele) were participated. Data were collected from both primary and secondary data and analyzed using simple descriptive statistics like frequency, mean and percentage.ResultsFrom this survey research it was found that the region has the potential to produce both temperate and subtropical fruits and vegetable crops. However, their production potential was limited by different constraints starting from cultivation to consumption. Focus group discussion reveals that farmers obtained high production of potato and apple with average yield of 300–400 and 25–130 qt/ha, respectively. Conversely, post-harvest loss was significantly affected in the study area due to lack of awareness, market access, inadequate water supply and poor post-harvest handling practices. As a result, the loss of potato and other vegetable crops was ranged from 30 to 50 and 0.25 to 5 qt/ha, respectively.ConclusionsTherefore, designing further research projects is recommended on production and post-harvest handling of fruits and vegetables. In addition, all stakeholders should be designed market linkage and involvement of female farmers in production of horticultural crops.

EFFICIENCY OF FARMS PARTICIPATED IN THE MEASURE AFFORESTATION OF AGRICULTURAL LAND UNDER RDP 2004-2006 AND REMAINING FARMS IN THE YEARS 2004-2013

The aim of this paper was comparative assessment of production potential, organization of production, economic efficiency and investment abilities of two group of farms from the same communities that collected data for Polish Farm Accountancy Data Network (FADN) in the years 2004-2013. The first group was farms that participated in the measure Afforestation of agricultural land under RDP 2004-2006 (beneficiary farms), while the second group was remaining farms that didn’t participate in this measure in the analyzed period. It was found that beneficiary farms in comparison to remaining farms characterized smaller utilized agricultural area (UAA) lower share of rented area and higher share of own UAA with the worst quality of soil. Moreover they had worse technical equipment of labour and lower family farm income. However, beneficiary farms like remaining farms had positive rate of reproduction fixed assets but their scale of investment was lower.

CityGML at semantic level for urban energy conservation strategies

The exponential growth of cities in India due to urbanization resulted in increased use of non-renewable energy resources to meet the essential power requirements of urban built environment. It is essential for urban planners to provide innovative solutions in context of urban energy simulation based on virtual 3D city models. The recent 3D geoinformation science studies are insufficient in providing optimal solutions because of lack of emerging concepts and integrated softwares. Presently 3D GIS data can be generated into various LODs (Levels of Detail) depending upon the application requirement and input data used. There are various 3D GIS softwares like Google SketchUp, ESRI CityEngine etc., which are being used mostly for data creation especially for boundary representation for geometry abstraction without semantic information. The 3D GIS data conversion from native format into City Geography Markup Language (CityGML) enhances it by providing information both at geometric and at semantic level in interoperable format. A building information model of Geoinformatics department building in IIRS campus is created using Google SketchUp and exported to energy modelling program in gbXML schema. The present investigation explores the semantic characteristics of developed CityGML model for solar thermal and photovoltaic energy production potential assessment based on building semantic components. The amount of solar irradiation incident on bounding features and also illumination obtained through openings of building is quantized using SunCast and RadianceIES application of IESVE Software, respectively. The simulated energy data are integrated with building semantic features and stored in open-source PostGIS RDBMS to address basic semantic queries.

Assessment of production potential of coalmining enterprises based on the clustered analysis

Assessment of production potential of coalmining enterprises based on the clustered analysis