B. Vogel‐Heuser, Benedikt Weisenberger, Heiko Meyer, Josef Plossnig
{"title":"制造中的电力消耗建模:将所有形式的能源作为规划资源进行总体和详细的规划,包括运行期间的负载管理","authors":"B. Vogel‐Heuser, Benedikt Weisenberger, Heiko Meyer, Josef Plossnig","doi":"10.1109/ICIT.2014.6894909","DOIUrl":null,"url":null,"abstract":"This paper presents a method to use energy as a planning resource, equal to material and personal resources. The detailed planning process is supported by a modeling approach using the modeling language Modelica and allows the implementation of energy and load management in production plants. Foundations for this load management are simulations of the plant model to forecast energy consumption. These simulations are implemented as part of an energy management module of a Manufacturing Execution System (MES). The modeling approach has been evaluated using a sample plant from the automotive field.","PeriodicalId":240337,"journal":{"name":"2014 IEEE International Conference on Industrial Technology (ICIT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Modeling of power consumption in manufacturing: Gross and detailed planning in consideration of all forms of energy as planning resources including load management during runtime\",\"authors\":\"B. Vogel‐Heuser, Benedikt Weisenberger, Heiko Meyer, Josef Plossnig\",\"doi\":\"10.1109/ICIT.2014.6894909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method to use energy as a planning resource, equal to material and personal resources. The detailed planning process is supported by a modeling approach using the modeling language Modelica and allows the implementation of energy and load management in production plants. Foundations for this load management are simulations of the plant model to forecast energy consumption. These simulations are implemented as part of an energy management module of a Manufacturing Execution System (MES). The modeling approach has been evaluated using a sample plant from the automotive field.\",\"PeriodicalId\":240337,\"journal\":{\"name\":\"2014 IEEE International Conference on Industrial Technology (ICIT)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Industrial Technology (ICIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2014.6894909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Industrial Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2014.6894909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of power consumption in manufacturing: Gross and detailed planning in consideration of all forms of energy as planning resources including load management during runtime
This paper presents a method to use energy as a planning resource, equal to material and personal resources. The detailed planning process is supported by a modeling approach using the modeling language Modelica and allows the implementation of energy and load management in production plants. Foundations for this load management are simulations of the plant model to forecast energy consumption. These simulations are implemented as part of an energy management module of a Manufacturing Execution System (MES). The modeling approach has been evaluated using a sample plant from the automotive field.