Identify energy flexibility in production: Measures for the use and assessment variables

被引:0
|
作者
Energieflexibilität in der Produktion identifizieren: Maßnahmen zur Nutzung und Beurteilungsgrößen
机构
来源
| 1600年 / Carl Hanser Verlag卷 / 108期
关键词
Energy flexibility - Flexibility measures;
D O I
10.3139/104.111010
中图分类号
学科分类号
摘要
This article explains measures that can be taken by producing companies in order to adapt their energy consumption and the necessary prerequisites are defined. These measures change the energy consumption by influencing the amount of demanded energy and the time during which it is consumed. The conditions for the economical use of energy flexibility can be evaluated with qualitative and quantitative flexibility measures and criteria.
引用
收藏
页码:639 / 642
相关论文
共 50 条
  • [1] Energy flexibility in matrix production-Method for assessing the potential for energy flexibility and determing energy flexibility measures
    Torolsan K.
    Schmalzried M.
    Sauer A.
    WT Werkstattstechnik, 2024, 114 (1-2): : 2 - 8
  • [2] A Methodology to Systematically Identify and Characterize Energy Flexibility Measures in Industrial Systems
    Tristan, Alejandro
    Heuberger, Flurina
    Sauer, Alexander
    ENERGIES, 2020, 13 (22)
  • [3] Classification of energy flexibility measures
    Klassifizierung von Energieflexibilitätsmaßnahmen
    2017, Carl Hanser Verlag (112):
  • [4] Use of a structured descriptive assessment methodology to identify variables affecting problem behavior
    Anderson, CM
    Long, ES
    JOURNAL OF APPLIED BEHAVIOR ANALYSIS, 2002, 35 (02) : 137 - 154
  • [5] Energy flexibility of production systems
    Liebl, C.
    Popp, R.
    Zäh, M.F.
    WT Werkstattstechnik, 2015, 105 (03): : 136 - 140
  • [6] Towards decentralized production: A novel method to identify flexibility potentials in production sequences based on flexibility graphs
    Bochmann, Lennart
    Gehrke, Lars
    Böckenkamp, Adrian
    Weichert, Frank
    Albersmann, Rainer
    Prasse, Christian
    Mertens, Christoph
    Motta, Marco
    Wegener, Konrad
    International Journal of Automation Technology, 2015, 9 (03) : 270 - 282
  • [7] Use of surrogate measures as outcome variables
    Muller, Beat
    INFLAMMATION RESEARCH, 2007, 56 : S257 - S257
  • [8] Assessment of Risk in a Production System with the Use of the FMEA Analysis and Linguistic Variables
    Burduk, Anna
    HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT II, 2012, 7209 : 250 - 258
  • [9] Sustainability assessment of energy production: A critical review of methods, measures and issues
    Turkson, Charles
    Acquaye, Adolf
    Liu, Wenbin
    Papadopoulos, Thanos
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 264
  • [10] Thermodynamic assessment of geothermal energy use in hydrogen production
    Balta, M. Tolga
    Dincer, Ibrahim
    Hepbasli, Arif
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2009, 34 (07) : 2925 - 2939