Energy Efficiency and Ecological Safety of Shaping Technological Processes

A procedure for analyzing the effectiveness of using fuel and energy resources (FER) in sugar production, based on the developed idealized circuit of the thermal-technological complex (TTC) as the base for comparison was presented. This procedure makes it possible to quantify the level of perfection of existing and proposed thermal circuits, as well as the impact of measures for enhancing energy efficiency on their perfection. By idealizing technological and energy processes, a hypothetical TTC was synthesized, for which the minimum possible energy and entropy characteristics are determined. Under these conditions, the minimum possible heat consumption for the implementation of technological processes according to the classical heat technology circuit was calculated – 118.40 MJ/t; a "minimum" total increase in entropy from irreversible processes of the HTC – 314.68 kJ/(t·K); a minimum complex magnitude of specific consumption of conventional fuel – 0.8 % to m. b. The determined characteristics are absolute criteria for the efficiency of sugar production systems, since it is impossible to reach lower values under existing technology, quality of raw materials and other conditions. The content of the criteria of energy efficiency of TTC was stated and the system of coefficients was proposed: coefficient of total energy efficiency of the TTC, coefficient of energy efficiency of the system of heat supply of the technological processes and coefficients of energy efficiency of internal and external structures of the TTC. The proposed criteria provide an objective and thermodynamically correct characteristic of the TTC of different structures. The presented results of analysis of various measures for increasing the energy efficiency of sugar production show that only a gradual comprehensive reconstruction of an enterprise makes it possible to consistently reduce the FER consumption for technological needs, approaching the boundary values.

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SMART Computational Solutions for the Optimization of Selected Technology Processes as an Innovation and Progress in Improving Energy Efficiency of Smart Cities—A Case Study

Energies ◽

10.3390/en13133338 ◽

2020 ◽

Vol 13 (13) ◽

pp. 3338 ◽

Cited By ~ 2

Author(s):

Krzysztof Gaska ◽

Agnieszka Generowicz

Keyword(s):

Energy Efficiency ◽

Waste Management ◽

Real Time ◽

Smart Cities ◽

Measurement Data ◽

Control Object ◽

Diagnostic Tools ◽

Network Systems ◽

Technological Processes ◽

Technology Processes

The paper presents advanced computational solutions for selected sectors in the context of the optimization of technology processes as an innovation and progress in improving energy efficiency of smart cities. The main emphasis was placed on the sectors of critical urban infrastructure, including in particular the use of algorithmic models based on artificial intelligence implemented in supervisory control systems (SCADA-type, including Virtual SCADA) of technological processes involving the sewage treatment systems (including in particular wastewater treatment systems) and waste management systems. The novelty of the presented solution involves the use of predictive diagnostic tools, based on multi-threaded polymorphic models supporting decision making processes during the control of a complex technological process and objects of distributed network systems (smart water grid, smart sewage system, smart waste management system) and solving problems of optimal control for smart dynamic objects with logical representation of knowledge about the process, the control object and the control itself, for which the learning process consists of successive validation and updating of knowledge and the use of the results of this updating to make control decisions. The advantage of the proposed solution in relation to the existing ones lies in the use of advanced models of predictive diagnostics, validation and reconstruction of data, implemented in functional tools, allowing the stabilization of the work of technological objects through the use of FTC technology (fault tolerant control) and soft sensors, predictive measurement path diagnostics (sensors, transducers), validation and reconstruction of measurement data from sensors in the measuring paths in real time. The dedicated tools (Intelligent Real Time Diagnostic System − iRTDS) built into the system of a hierarchical, multi-threaded control optimizing system of SCADA system allow to obtain advanced diagnostics of technological processes in real time using HPC technology. In effect of the application of the proprietary iRTDS tool, we obtain a significant rise of energy efficiency of technological processes in key sectors of the economy, which in global terms, e.g., urban agglomeration, increases the economic efficiency.

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Selection criteria for engineering solutions to ensure acoustic comfort of urban and rural areas

E3S Web of Conferences ◽

10.1051/e3sconf/202017511028 ◽

2020 ◽

Vol 175 ◽

pp. 11028

Author(s):

Vadim Bespalov ◽

Oksana Gurova ◽

Natalya Samarskaya ◽

Valeriya Baklakova

Keyword(s):

Energy Efficiency ◽

Rural Area ◽

Rural Areas ◽

Selection Criteria ◽

Optimization Criterion ◽

Environmental Efficiency ◽

Ecological Safety ◽

Acoustic Comfort ◽

Urban And Rural Areas ◽

Selection Of

The article reflects the opinion that the choice of optimal engineering solution to ensure acoustic comfort in a specific urban or rural area should be based, first of all, on the use of two criteria: environmental efficiency and energy efficiency. The article proposes using, along with environmental efficiency, an additional optimization criterion - energy efficiency of the process for modern conditions of multi-criteria selection of engineering solutions in the field of providing acoustic comfort (ecological safety) in urban and rural areas. The article gives a justification for the need to apply the criterion of energy efficiency in this area and also presents the results of the obtained mathematical dependencies.

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