Energy Key Performance Indicators for Mobile Machinery

Autor:	Pedro Roquet, Gustavo Raush, Luis Javier Berne, Pedro-Javier Gamez-Montero, Esteban Codina
Přispěvatelé:	Universitat Politècnica de Catalunya. Departament de Mecànica de Fluids, Universitat Politècnica de Catalunya. Doctorat en Enginyeria Mecànica, Fluids i Aeronàutica, Universitat Politècnica de Catalunya. LABSON - Laboratori de Sistemes Oleohidràulics i Pneumàtics, Universitat Politècnica de Catalunya. IAFARG - Industrial and Aeronautical Fluid-dynamic Applications Research Group
Rok vydání:	2022
Předmět:	Accionament hidràulic Control and Optimization Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids [Àrees temàtiques de la UPC] Renewable Energy Sustainability and the Environment Hydraulic drive Energy Engineering and Power Technology Energy balance Average energy index KPI energy index average energy index energy balance hydraulic systems mobile machinery dashboard decision-making tool Combustibles -- Consum Energy index Hydraulic systems Mobile machinery Fuel consumption Hoisting machinery Decision-making tool Hydraulic machinery Dashboard Electrical and Electronic Engineering Màquines hidràuliques Engineering (miscellaneous) Maquinària elevadora Energy (miscellaneous)
Zdroj:	Energies; Volume 15; Issue 4; Pages: 1364 UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC)
ISSN:	1996-1073
DOI:	10.3390/en15041364
Popis:	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 This research received external funding. Data of the front loader originated in the prototype that was built up by BMH during the research activities in the framework of PROHIPP project, partially financed by EU (2004–2008), and LEVANTE project, partially financed by IBEROEKA program (2002–2005)
Databáze:	OpenAIRE
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