Uncertainty evaluation of EnPIs in industrial applications as a key factor in setting improvement actions

33rd UIT (Italian Union of Thermo-fluid dynamics) Heat Transfer Conference

物理学;力学

D'Emilia, G.^1 ; Di Gasbarro, D.^1 ; Gaspari, A.^1 ; Natale, E.^1

Dipartimento di Ingegneria Industriale e dell'Informazione e di Economia, University of l'Aquila, L'Aquila

67100, Italy^1

关键词: Comparative analysis;    Energy management systems (EMS);    Energy performance indicators;    Financial resources;    Measurement uncertainty;    Quantitative indicators;    Recursive applications;    Uncertainty evaluation;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/655/1/012016/pdf
DOI  :  10.1088/1742-6596/655/1/012016

学科分类：力学，机械学

来源: IOP

【 摘 要 】

A methodology is proposed assuming high-level Energy Performance Indicators (EnPIs) uncertainty as quantitative indicator of the evolution of an Energy Management System (EMS). Motivations leading to the selection of the EnPIs, uncertainty evaluation techniques and criteria supporting decision-making are discussed, in order to plan and pursue reliable measures for energy performance improvement. In this paper, problems, priorities, operative possibilities and reachable improvement limits are examined, starting from the measurement uncertainty assessment. Two different industrial cases are analysed with reference to the following aspects: absence/presence of energy management policy and action plans; responsibility level for the energy issues; employees' training and motivation in respect of the energy problems; absence/presence of adequate infrastructures for monitoring and sharing of energy information; level of standardization and integration of methods and procedures linked to the energy activities; economic and financial resources for the improvement of energy efficiency. A critic and comparative analysis of the obtained results is realized. The methodology, experimentally validated, allows developing useful considerations for effective, realistic and economically feasible improvement plans, depending on the specific situation. Recursive application of the methodology allows getting reliable and resolved assessment of the EMS status, also in dynamic industrial contexts.