Energy Key Performance Indicators for Mobile Machinery

Pedro Roquet, Gustavo Raush, Luis Javier Berne, Pedro-Javier Gamez-Montero and Esteban Codina
Additional contact information
Pedro Roquet: ROQCAR SL, Antonio Figueras 68, 08551 Tona, Spain
Gustavo Raush: CATMech, Department of Fluid Mechanics, Technical University of Catalonia, Colom 7, 08222 Terrassa, Spain
Luis Javier Berne: IHBER, Polígono Malpica, Calle F, Nave 65, 50016 Zaragoza, Spain
Pedro-Javier Gamez-Montero: CATMech, Department of Fluid Mechanics, Technical University of Catalonia, Colom 7, 08222 Terrassa, Spain
Esteban Codina: CATMech, Department of Fluid Mechanics, Technical University of Catalonia, Colom 7, 08222 Terrassa, Spain

Energies, 2022, vol. 15, issue 4, 1-16

Abstract: Mobile machinery manufacturers must face and deal with reducing fuel consumption, rising prices, and environmental pollution. The development of methods to evaluate the efficiency and effectiveness of the energy performance of hydraulically actuated systems has become a priority for researchers and OEMs, Original Equipment Manufacturers. In this paper, a new methodology that is based on Key Performance Indicators, KPI, is proposed with different goals: (i) to evaluate the energy performance and the monitoring of its evolution in the different stages of its life cycle (design, commissioning, optimization, retrofit, etc.); (ii) compare the energy levels between machines of different sizes and different brands in a benchmarking process; and (iii) establish a database that is state of the art, which facilitates setting achievable goals or limits for improvement. These KPI values can be deduced simply from the energy balances that were made from the experimental study of various machines over a relatively long period. This methodology has been applied to typical hydraulic systems for lifting and lowering loads that are used in a wide variety of mobile machines of different mechanical designs and sizes. Still, it can be included in the generic name of “loaders”. A KPI’s values for the three machines are presented in a dashboard as a decision-making tool.

Keywords: KPI; energy index; average energy index; energy balance; hydraulic systems; mobile machinery; dashboard; decision-making tool (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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