Intelligente Druckluftsysteme und Datenmodellierung*/Standardized data management for smart compressed air systems – Conceptual implementation of aggregated environmental production data according to ISO 20140

2019 ◽  
Vol 109 (06) ◽  
pp. 510-514
Author(s):  
M. Reisinger ◽  
C. Dierolf ◽  
C. Schneider ◽  
A. Sauer ◽  
G. Hörcher

Der Beitrag präsentiert zunächst ein Klassifikationsschema für Druckluftsystem-Komponenten. Darauffolgend wird die Normenreihe ISO 20140 als Basis für ein standardisiertes Datenmanagement vorgestellt. Die Normenreihe beschreibt eine Methode für die Erfassung, Aggregation und Bewertung der Energieeffizienz und weiterer umweltrelevanter Faktoren von Fertigungssystemen. Dargestellt wird die Konzeption eines Datenmodellierung-Anwendungsfalls eines pneumatischen Systems in Form eines Demonstrators.   This paper introduces a schemata for the classification of compressed air system components. It presents the standard ISO 20140 as a standardized data modeling technique. The standard represents a method for evaluating energy efficiency and other factors influencing the environment of manufacturing systems. The presented use case is a pneumatic sub system of a smart compressed air system demonstrator.

2019 ◽  
Vol 161 (A2) ◽  

Energy efficiency subject has been gaining importance in maritime sector. The compressed air is a valuable energy source in operational manner, by the reason of intrinsic lack of efficiency in pressurization process. Operational pressure and leakage rate are the major variables which affect operational efficiency of the system. This study aims to reveal potential energy saving for the compressed air system. To this end, several pressure ranges, 29-30 bars to 14-18 bars, and different leakage rates 2.4% to 45% are evaluated. After the data was obtained from ships, thermodynamic calculations had been carried out. Optimization of pressure saves 47.3% in daily power requirement, 58,2% in compressed air unit cost, 18.4 and 57.4 tons of reduction in fuel consumption and CO2 emissions in a year respectively. High leakage rates can cause 2.7 times more power and fuel consumption. Finally, operating load, as an important indicator of compressor, makes imperfections identifiable.


2014 ◽  
Vol 628 ◽  
pp. 225-228
Author(s):  
Xiao Lin Tian ◽  
Shou Gen Hu ◽  
Hong Bo Qin ◽  
Jun Zhao ◽  
Ling Yuan Ran

As the most widely used fourth energy, compressed air system has high operating costs. The research about energy consumption and energy optimization measures of compressed air system has become the new field to achieve energy saving among countries all over the world. In recent years, air compressor system researches in energy consumption, influence factors, energy saving technologies and energy efficiency evaluation have been carried out at home and abroad, and some achievements have been achieved. This paper summarizes energy consumption research status of air compressor system at home and abroad, and energy-saving technologies of compressed air in generation link, treatment link and gas link, and energy efficiency evaluation methods for of air compressor systems. Potentials and drawbacks of current researches are analyzed simultaneously. In the end energy-saving development directions of air compressor system are predicted.


2021 ◽  
Vol 29 (2) ◽  
pp. 77-86
Author(s):  
G. Ratushnyak ◽  
◽  
V. Pankevych ◽  

The classification of the factors influencing decision-making at an estimation of thermal conductivity of a heat-insulating cover of the building is offered. The relationship between the parameters of the thermal state of the thermal insulation of buildings and its energy efficiency is presented in the form of a logical conclusion tree. The logical inference tree at the system level characterizes the ratio of parameters that affect thermal conductivity. To create a mathematical model for expert assessment of the technical condition of the thermal insulation of the building, it is advisable to use the apparatus of fuzzy logic and fuzzy set theory. The formalization of quantitative and qualitative factors influencing the thermal efficiency of the building insulation shell has been carried out. When assessing the technical condition of the thermal insulation of the building (energy efficiency), quantitative and qualitative factors of influence are expressed through linguistic variables. Estimation of levels of linguistic variables is represented by term sets. Thermal conductivity as a factor in the thermal insulation of a building is related to the normative classification of energy efficiency of buildings in force in Ukraine.


Author(s):  
C Dere ◽  
C Deniz

Energy efficiency subject has been gaining importance in maritime sector. The compressed air is a valuable energy source in operational manner, by the reason of intrinsic lack of efficiency in pressurization process. Operational pressure and leakage rate are the major variables which affect operational efficiency of the system. This study aims to reveal potential energy saving for the compressed air system. To this end, several pressure ranges, 29-30 bars to 14-18 bars, and different leakage rates 2.4% to 45% are evaluated. After the data was obtained from ships, thermodynamic calculations had been carried out. Optimization of pressure saves 47.3% in daily power requirement, 58,2% in compressed air unit cost, 18.4 and 57.4 tons of reduction in fuel consumption and CO2 emissions in a year respectively. High leakage rates can cause 2.7 times more power and fuel consumption. Finally, operating load, as an important indicator of compressor, makes imperfections identifiable.


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