Next Article in Journal
Assessment of On-Site Treatment Process of Institutional Building’s Wastewater
Next Article in Special Issue
Ball Milling Treatment of Black Dross for Selective Dissolution of Alumina in Sodium Hydroxide Leaching
Previous Article in Journal
Special Issue: Combined Scheduling and Control
Previous Article in Special Issue
Bleaching of Neutral Cotton Seed Oil Using Organic Activated Carbon in a Batch System: Kinetics and Adsorption Isotherms
Open AccessArticle

Using Field Data for Energy Efficiency Based on Maintenance and Operational Optimisation. A Step towards PHM in Process Plants

Dipartimento Scienza Applicata e Tecnologia, SAfeR—Centro Studi su Sicurezza, Affidabilità e Rischi, Politecnico di Torino, 10129 Torino, Italy
*
Author to whom correspondence should be addressed.
Processes 2018, 6(3), 25; https://doi.org/10.3390/pr6030025
Received: 17 January 2018 / Revised: 7 March 2018 / Accepted: 7 March 2018 / Published: 11 March 2018
Energy saving is an important issue for any industrial sector; in particular, for the process industry, it can help to minimize both energy costs and environmental impact. Maintenance optimization and operational procedures can offer margins to increase energy efficiency in process plants, even if they are seldom explicitly taken into account in the predictive models guiding the energy saving policies. To ensure that the plant achieves the desired performance, maintenance operations and maintenance results should be monitored, and the connection between the inputs and the outcomes of the maintenance process, in terms of total contribution to manufacturing performance, should be explicit. In this study, a model for the energy efficiency analysis was developed, based on cost and benefits balance. It is aimed at supporting the decision making in terms of technical and operational solutions for energy efficiency, through the optimization of maintenance interventions and operational procedures. A case study is here described: the effects on energy efficiency of technical and operational optimization measures for bituminous materials production process equipment. The idea of the Conservation Supply Curve (CSC) was used to capture both the cost effectiveness of the measures and the energy efficiency effectiveness. The optimization was thus based on the energy consumption data registered on-site: data collection and modelling of the relevant data were used as a base to implement a prognostic and health management (PHM) policy in the company. Based on the results from the analysis, efficiency measures for the industrial case study were proposed, also in relation to maintenance optimization and operating procedures. In the end, the impacts of the implementation of energy saving measures on the performance of the system, in terms of technical and economic feasibility, were demonstrated. The results showed that maintenance optimization could help in reaching an energy costs recovery equal to the 10% of the total costs for an electric motor system. View Full-Text
Keywords: energy efficiency; maintenance optimization; conservation supply curve energy efficiency; maintenance optimization; conservation supply curve
Show Figures

Graphical abstract

MDPI and ACS Style

Demichela, M.; Baldissone, G.; Darabnia, B. Using Field Data for Energy Efficiency Based on Maintenance and Operational Optimisation. A Step towards PHM in Process Plants. Processes 2018, 6, 25. https://doi.org/10.3390/pr6030025

AMA Style

Demichela M, Baldissone G, Darabnia B. Using Field Data for Energy Efficiency Based on Maintenance and Operational Optimisation. A Step towards PHM in Process Plants. Processes. 2018; 6(3):25. https://doi.org/10.3390/pr6030025

Chicago/Turabian Style

Demichela, Micaela; Baldissone, Gabriele; Darabnia, Behnoush. 2018. "Using Field Data for Energy Efficiency Based on Maintenance and Operational Optimisation. A Step towards PHM in Process Plants" Processes 6, no. 3: 25. https://doi.org/10.3390/pr6030025

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop