β-characterization by irreversibility analysis: A thermoeconomic diagnosis method
| Autor: | Abraham Olivares-Arriaga, Sergio Cano-Andrade, David A. Rodriguez-Alejandro, Alejandro Zaleta-Aguilar |
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| Rok vydání: | 2016 |
| Předmět: |
Exergy
030506 rehabilitation Schedule Work (thermodynamics) Engineering Power station Combined cycle 020209 energy Thermoeconomics 02 engineering and technology Industrial and Manufacturing Engineering law.invention 03 medical and health sciences law Component (UML) 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Simulation Civil and Structural Engineering business.industry Mechanical Engineering Building and Construction Pollution Reliability engineering General Energy 0305 other medical science business Energy (signal processing) |
| Zdroj: | Energy. 111:850-858 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2016.06.012 |
| Popis: | This paper presents a reconciliation methodology for the diagnosis of energy systems. The methodology is based on the characterization of irreversibilities in the components of an energy system. These irreversibilities can be attributed to malfunctions or dysfunctions. The characterization of irreversibilities as presented here makes possible to reconcile the Actual Operating Condition (AOC) versus the Reference Operating Condition (ROC) of the energy system in a real-time manner. The diagnosis methodology introduces a parameter β, which represents the total exergy or useful work of a component in terms of its inlet and output streams at either design (full-load) or off-design (partial-load) conditions. The methodology is applied to the diagnosis of an actual Natural Gas Combined Cycle (NGCC) power plant. Data for the model is obtained directly from the plant by monitoring its performance at every time; thus, a real-time thermodynamic diagnosis for the system is obtained. Results show that the methodology presented here is able to detect and quantify the deviations on the performance of the NGCC power plant during its real-time operation. Based on the detection and quantification of these deviations, the user is able to make recommendations to schedule maintenance on the components where the irreversibilities are present. |
| Databáze: | OpenAIRE |
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