Incorporating Internet of Things (IoT) technology into biogas plant operations represents a new era of achieving optimized efficiency and sustainability in resource utilization. Decision-making concerning the selectio...
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This brief focuses on the event-triggered fuzzy adaptive prescribed performance control (PPC) of incommensurate uncertain fractional order systems (FOSs). First, fuzzy logic systems are employed to approximate the unc...
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The traditional Vine-Copula method employs Vine structure to represent the dependent structure between wind speed of wind turbines in wind farms, which can fully capture the spatial correlation among them, but lacks t...
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In this paper, a distributed model predictive control architecture based on graph theory for integrated large-scale nonlinear process systems is proposed. This architecture is first agglomerated using popular communit...
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In this paper, a distributed model predictive control architecture based on graph theory for integrated large-scale nonlinear process systems is proposed. This architecture is first agglomerated using popular community detection techniques and then organized on account of the relative master–slave relationship according to the ample information of interactions among separate subsystems. Both sequential and iterative distributed nonlinear model predictive coordination forms are considered for the reduction of the communication and computational burden within an acceptable loss of performance. Furthermore, the control performance of the large-scale integrated system could be improved to some extent under the architecture and the communication strategy we propose, whereby a brave exploration is made on the relationship between the control structure and the control performance, ulteriorly obtaining some notable results towards the untapped territory. The effectiveness of the proposed coordination method is evaluated by a standard reactor-separator process system.
In modern process industries, maintaining precise weight measurements is critical for ensuring product quality and operational efficiency. Accurate weight measurement systems not only aid in meeting regulatory standar...
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Pressure control in deep shale gas horizontal wells can reduce the stress sensitivity of hydraulic fractures and improve the estimated ultimate recovery(EUR).In this study,a hydraulic fracture stress sensitivity model...
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Pressure control in deep shale gas horizontal wells can reduce the stress sensitivity of hydraulic fractures and improve the estimated ultimate recovery(EUR).In this study,a hydraulic fracture stress sensitivity model is proposed to characterize the effect of pressure drop rate on fracture ***,a production prediction model is introduced accounting for a non-uniform hydraulic fracture conductivity *** results reveal that increasing the fracture conductivity leads to a rapid daily production increase in the early ***,above 0.50 D·cm,a further increase in the fracture conductivity has a limited effect on shale gas production *** initial production is lower under pressure-controlled conditions than that under *** extended pressure control durations,the cumulative production initially increases and then *** a fracture conductivity of 0.10 D·cm,the increase in production output under controlled-pressure conditions is~35%.For representative deep shale gas wells(Southern Sichuan,China),if the pressure drop rate under controlled-pressure conditions is reduced from 0.19 to 0.04 MPa/d,the EUR increase for 5 years of pressure-controlled production is 41.0 million,with an increase percentage of~29%.
One of the ways to increase the efficiency of the process of regeneration of black sulfate liquors at pulp and paper industry enterprises is to ensure optimal operating modes of soda recovery boilers. One of the key t...
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Due to the high conversion frequency of labor-intensive industries, the productionprocess still relies heavily on labor. In order to solve this prob-lem, this article designs an automated fastening screw process syst...
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This paper presents a hardware and software of an electrooculogram (EOG) acquisition system based on ATmega AVR microcontroller for the acquisition of vertical and horizontal eye movements. The presented system is use...
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Waste-centred-bioenergy generation have been garnering interest over the years due to environmental impact presented by fossil fuels. Waste generation is an unavoidable consequence of urbanization and population growt...
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