From energy targets setting to energy-aware operations control and back: An advanced methodology for energy efficient manufacturing

被引:34
|
作者
Benedetti, Miriam [1 ]
Cesarotti, Vittorio [2 ]
Introna, Vito [2 ]
机构
[1] Tor Vergata Univ Rome, Dept Ind Engn, Rome, RM, Italy
[2] Tor Vergata Univ Rome, Dept Enterprise Engn, Rome, RM, Italy
关键词
Energy Performance Indicators; Energy efficiency; Energy management; Measuring and targeting; INDEX DECOMPOSITION ANALYSIS; KEY PERFORMANCE INDICATORS; IDA-ANN-DEA; INFORMATION-SYSTEM; IMPROVING ENERGY; INDUSTRY; CONSUMPTION; MANAGEMENT; SUSTAINABILITY; UNCERTAINTY;
D O I
10.1016/j.jclepro.2016.09.213
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Measuring and targeting energy performances of manufacturing plants and their subsystems is the first, critical step to understand their energy behavior, to identify energy management opportunities and to evaluate energy savings. In addition, this activity has become always more important in the last decades, as Energy Management Systems and energy management practices based on continuous improvement and people engagement have been largely adopted, requiring the introduction of new energy consumption control systems capable to identify the standard operative energy behavior and performance of systems and machines and their energy baseline, to point out contingent deviations of energy performances from the baseline and to identify possible causes and clearly attribute responsibilities of such deviations. In this context, several attempts have been presented in literature trying to identify methods to create Energy Performance Indicators so as to satisfy these requirements, but most of them are focused either on a physical or on economical definition of the problem (and therefore either on a process/appliance level or on an aggregated level), neglecting the necessity to develop an integrated system to combine those two approaches to the problem and deliver appropriate information to each hierarchical level and function of the company. In addition, even when these indicators are identified, a proper system to monitor and control their evolution over time is neglected. In this paper, a novel methodology to manage Energy Performance by developing, analyzing and maintaining Energy Performance Indicators in manufacturing plants is presented, which has been created to fill this gap and taking into account ISO 50001:2011 and ISO 50006:2014 requirements, in order to be as general and widely applicable as possible. The proposed methodology allows an immediate identification of manufacturing plant's energy performance deviations through Energy Performance Indicators monitoring over time and an easy association of causes and responsibilities to such deviations, in order to allow companies to rapidly react defining action plans and resetting targets if necessary; it has also been validated through an industrial case study, which will eventually be presented. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1518 / 1533
页数:16
相关论文
共 50 条
  • [1] Energy-aware manufacturing operations
    Prabhu, Vittaldas V.
    Trentesaux, Damien
    Taisch, Marco
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (23) : 6994 - 7004
  • [2] Energy-Aware Models for Warehousing Operations
    Anand, Vidyuth
    Lee, Seokgi
    Prabhu, Vittaldas V.
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT II, 2014, 439 : 390 - 397
  • [3] Energy-aware manufacturing operations (vol 53, pg 6994, 2015)
    Prabhu, V. V.
    Trentesaux, D.
    Taisch, M.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (23)
  • [4] Energy-aware production scheduling for additive manufacturing
    Karimi, Sajad
    Kwon, Soongeol
    Ning, Fuda
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 278
  • [5] An energy mapping methodology to reduce energy consumption in manufacturing operations
    Cosgrove, John
    Duarte, Maria-Jose Rivas
    Littlewood, John
    Wilgeroth, Paul
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2018, 232 (10) : 1731 - 1740
  • [6] Energy-Aware Control of Home Networks
    Suraci, Vincenzo
    Marucci, Alvaro
    Bedini, Roberto
    Zuccaro, Letterio
    Palo, Andi
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2013, PT II, 2013, 7972 : 299 - 311
  • [7] Energy-aware control of server farms
    Gebrehiwot, Misikir Eyob
    Aalto, Samuli
    Lassila, Pasi
    [J]. 2016 39TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2016, : 748 - 753
  • [8] Can Energy-Aware Routing Improve the Energy Savings of Energy-Efficient Ethernet?
    Manjate, Juvencio Arnaldo
    Hidell, Markus
    Sjodin, Peter
    [J]. IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2018, 2 (03): : 787 - 794
  • [9] Intelligent energy-aware efficient routing for MANET
    Das, Santosh Kumar
    Tripathi, Sachin
    [J]. WIRELESS NETWORKS, 2018, 24 (04) : 1139 - 1159
  • [10] Efficient Energy-Aware Routing With Redundancy Elimination
    Omidvar, Naeimeh
    Tsang, Danny H. K.
    Pakravan, Mohammad Reza
    Lau, Vincent K. N.
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2015, 33 (12) : 2815 - 2825