A hierarchical framework for concurrent assessment of energy and water efficiency in manufacturing systems

Abstract Efficient energy and water use has become a matter for increasing concern to industry due to rising energy prices, decreased availability of quality water and the environmental concerns of governments and the general public. For an organisation to enhance its energy and water efficiency, it must first determine where, when and how much energy and water are needed by different pieces of equipment in its manufacturing system. This paper presents a hierarchical framework that models the energy and water consumed in a manufacturing system according to the structure of facilities. A state-based technique was used to develop a generic module for a single machine tool and customized modules for steam generation and compressed air systems. Production in a pharmaceutical company was simulated after which a simultaneous analysis of energy and water efficiency was carried out. It was shown that a reduction of 6.42% and 1.97% in the consumption of energy and total water per litre of product is achievable by selecting different production parameters. This also revealed that indirect water consumption due to raw materials and primary energy may have a significant impact on any assessment and should also be considered in conjunction with the direct water consumption.

[1]  Michael Zwicky Hauschild,et al.  Assessing the impacts of industrial water use in life cycle assessment , 2011 .

[2]  Sami Kara,et al.  Energy Efficiency of Compressed Air Systems , 2014 .

[3]  Paul Schönsleben,et al.  Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature , 2011 .

[4]  Sami Kara,et al.  Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach , 2012 .

[5]  Stephan Biller,et al.  Energy efficiency analysis for a casting production system , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

[6]  Timothy G. Gutowski,et al.  An Environmental Analysis of Machining , 2004 .

[7]  Stylianos Chiotellis,et al.  Analysis of Electrical Power Data Streams in Manufacturing , 2012 .

[8]  Shahin Rahimifard,et al.  Simulation of energy consumption in the manufacture of a product , 2013, Int. J. Comput. Integr. Manuf..

[9]  M. Gheorghe,et al.  Models of machine tool efficiency and specific consumed energy , 2003 .

[10]  Kankana Mukherjee,et al.  Energy use efficiency in U.S. manufacturing: A nonparametric analysis , 2008 .

[11]  Bert Bras,et al.  Quantifying the Life Cycle Water Consumption of a Passenger Vehicle , 2012 .

[12]  Jens Warsen,et al.  Water footprint of European cars: potential impacts of water consumption along automobile life cycles. , 2012, Environmental science & technology.

[13]  Christoph Herrmann,et al.  SME appropriate concept for continuously improving the energy and resource efficiency in manufacturing companies , 2013 .

[14]  Makoto Fujishima,et al.  A study on energy efficiency improvement for machine tools , 2011 .

[15]  Jiří Jaromír Klemeš,et al.  A Review of Footprint analysis tools for monitoring impacts on sustainability , 2012 .

[16]  Petter Solding,et al.  Using simulation for more sustainable production systems – methodologies and case studies , 2009 .

[17]  Eberhard Abele,et al.  Simulation-Based Assessment of the Energy Consumption of Manufacturing Processes , 2012 .

[18]  Sami Kara,et al.  Assessing the Impact of Embodied Water in Manufacturing Systems , 2015 .

[19]  Alexander Verl,et al.  Model-based energy consumption optimisation in manufacturing system and machine control , 2011, Int. J. Manuf. Res..

[20]  Christoph Herrmann,et al.  Energy oriented simulation of manufacturing systems - Concept and application , 2011 .

[21]  Sami Kara,et al.  Unit process energy consumption models for material removal processes , 2011 .

[22]  Barney L. Capehart,et al.  Guide to Energy Management , 1969 .

[23]  Arjen Ysbert Hoekstra,et al.  National water footprint accounts: the green, blue and grey water footprint of production and consumption , 2011 .

[24]  Yufeng Li,et al.  A framework for characterising energy consumption of machining manufacturing systems , 2014 .

[25]  Johan Stahre,et al.  Simulation-based sustainable manufacturing system design , 2008, 2008 Winter Simulation Conference.

[26]  Sebastian Thiede,et al.  Energy Efficiency in Manufacturing Systems , 2012 .

[27]  Fu Zhao,et al.  Quantifying the water inventory of machining processes , 2012 .

[28]  Christoph Herrmann,et al.  An integrated approach for improving energy efficiency of manufacturing process chains , 2016 .

[29]  A. Hoekstra,et al.  Water footprints of nations: Water use by people as a function of their consumption pattern , 2006 .

[30]  Huai Gao,et al.  A modeling method of task-oriented energy consumption for machining manufacturing system , 2012 .

[31]  Christoph Herrmann,et al.  Eco-efficiency of manufacturing processes: A grinding case , 2012 .

[32]  Paul Xirouchakis,et al.  Evaluating the use phase energy requirements of a machine tool system , 2011 .

[33]  Christoph Herrmann,et al.  Energy Efficiency through Optimised Coordination of Production and Technical Building Services , 2008 .

[34]  Sami Kara,et al.  Characterising energy and eco-efficiency of injection moulding processes , 2015 .

[35]  Denis Kurle,et al.  Assessing combined water-energy-efficiency measures in the automotive industry , 2015 .

[36]  M. Aldaya,et al.  The Water Footprint Assessment Manual: Setting the Global Standard , 2011 .

[37]  Malin Falkenmark,et al.  Water and Sustainability: A Reappraisal , 2008 .

[38]  Thorsten Pawletta,et al.  A discrete-event simulation approach to predict power consumption in machining processes , 2011, Prod. Eng..

[39]  Günther Seliger,et al.  Methodology for planning and operating energy-efficient production systems , 2011 .