Maksym Karpash
@ukd.edu.ua
King Danylo University
RESEARCH, TEACHING, or OTHER INTERESTS
Renewable Energy, Sustainability and the Environment, Mechanics of Materials, Safety, Risk, Reliability and Quality
Scopus Publications
Scopus Publications
G.M Kogut, A.P Oliinyk, M.O Karpash, and A.M Klyun
Dnipro University of Technology
purpose. To establish and formulate optimization tasks in elaborating strategies for developing normative documents that identify the work performance at gas infrastructure facilities and the effectiveness of these measures in the preemergency and emergency situations. Methodology. To develop the necessary regulatory support for the operation of natural gas transportation and distribution operators, the study presents a mathematical formalization of the optimization problems selection and probability estimate for the identification of strategies for developing new documents that will allow standardizing the basic parameters of troublefree opera tion. findings. The factors that affect the safe operation of the gas transmission and gas distribution network, and cause emergen cies, were identified and argued in the article. An experiential mathematical formalization for the process of developing normative documents was carried out; theoreticallyjustified optimization procedure based on a probabilistic optimization criterion and un der conditions of incomplete definiteness was performed. originality. The research originality is in the new approach to scientific justification for the elaboration of strategies for norma tive document development in the gas industry. practical value. The results of the study allow establishing a scientifically based basis for the further development of the stan dardization system for gas infrastructure facilities in the context of EU policy priorities regarding safe, sustainable and affordable energy. The mathematical apparatus can be used by specialists of natural gas transportation and distribution companies to elabo rate strategies and road maps for the development of gas transmission and gas distribution systems, respectively.
I.V. Rybitskyi, A.P. Oliynyk, A.V. Yavorskyi, M.O. Karpash, V.S. Tsykh, and M.B. Slobodyan
Vasyl Stefanyk Precarpathian National University
The given methodology for assessing the efficiency coefficient of a gas pipeline based on the determination of a new informative parameter - the maximum level of non-technological fluid accumulations in its cavity. The proposed methodological approaches make it possible to respond faster regarding the removal of critical volumes of accumulated fluid from the gas pipeline cavity in order to maintain its energy and operational efficiency at the proper level.
M.O. Karpash, , A.P. Oliynyk, G.M. Kogut, A.M. Klyun, , , and
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)
Nadiia Shyrmovska, Artur Voronych, Yaroslav Zaiachuk, Maksym Karpash, and Olha Lazoriv
IEEE
Systematized and researched characteristics of quasi-stationary oil and gas objects complex on the example of industrial drilling plants. As a result, requirements for the implementation of algorithms and special processors for performing diagnostic functions of quasi-stationary objects are formed. The algorithm of identification of states of quasi-stationary objects on the basis of special codes is developed. The technique is proposed besides the compact coding of a set of technological parameters of drilling states in the form of structured codes that carry information about the number, time and planned economic data on the example of drilling processes.
A.V. Yavorskyi, M.O. Karpash, L.Y. Zhovtulia, L.Ya. Poberezhny, and P.O. Maruschak
Elsevier BV
O. V. Popovych, O. M. Karpash, and M. O. Karpash
Springer Science and Business Media LLC
D. L. Lutsak, , P. M. Prysyazhnyuk, M. O. Karpash, V. M. Pylypiv, V. O. Kotsyubynsky, , , , and
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka)
V. D. Myndyuk, O. M. Karpash, and M. O. Karpash
Springer Science and Business Media LLC
Taras Koturbash, Maksym Karpash, Iryna Darvai, Ihor Rybitskyi, and Vladimir Kutcherov
American Society of Mechanical Engineers
World experience shows that important factor in the calculations for natural gas consumption between suppliers and consumers is not only the volume of natural gas, but the quality indicators. With gas market liberalization, gas properties are expected to vary more frequently and strongly (composition, heating value etc.). Quality of natural gas is currently a topical issue, considering the steady increase of gas consumption in the world in recent decades. Existent chromatographs and calorimeters are very accurate in gas quality determination, but general expenditure and maintenance costs are still considerable. Market demands alternative lower cost methods of natural gas quality determination for transparent energy billing and technological process control. Investigation results indicate that heating value (HV) is a nonlinear function of such parameters as sound velocity in gas, N2 and CO2 concentration. Those parameters show strong correlation with natural gas properties of interest (HV, density, Wobbe index), during analysis conducted on natural gas sample database. For solving nonlinear multivariable approximation task of HV determination, artificial neural networks were used. Proposed approach allowed excluding N2 concentration from input parameters with maintenance of sufficient accuracy of HV determination equal to 3.7% (with consideration of N2 concentration – 2.4%) on sample database. For validating of received results corresponding experimental investigation was conducted with reference analysis of physical and chemical parameters of natural gas samples by gas chromatography and followed superior HV calculation according to ISO 6976:1995. Developed experimental setup consist of measuring chamber with ultrasonic transducer, reflector, pressure, temperature and humidity sensors, ultrasonic inspection equipment for sound velocity measurements and CO2 concentration sensor with relevant instrument. The experimental setup allows measurement of sound velocity at 1MHz frequency and CO2 concentration in natural gas sample along with parameters control (temperature, humidity, pressure). The HV calculation algorithm was based on specially designed and trained artificial neural networks. Experimental investigation of proposed approach was conducted on 40 real samples of locally distributed natural gas. Obtained results, in comparison to reference values, showed absolute error in Lower HV (net calorific value) determination equal 166 kJ/m3, while relative error was equal 4.66%. Developed technology allows construction of autonomous instrument for instant natural gas quality determination, which can be combined with volume meters in order to provide transparent energy flow measurement and billing for gas consumers. Additionally it can be used for gas sensitive technological process control.
М. О. Karpash and Т. Т. Koturbash
Springer Science and Business Media LLC
O. M. Karpash, E. R. Dotsenko, and M. O. Karpash
Springer Science and Business Media LLC
O. Karpash, I. Darvay, and M. Karpash
Elsevier BV