Name
Abstract | ||
|---|---|---|
Industrial processes use energy to transform raw materials and intermediate goods into final products. Many efforts have been done on the minimization of energy costs in industrial plants. Apart from working on “how” an industrial process is implemented, it is possible to reduce the energy costs by focusing on “when” it is performed. Although, some manufacturing plants (e.g. refining or petrochemical plants) can be inflexible with respect to time due to interdependencies in processes that must be respected for performance and safety reasons, there are other industrial segments, such as alumina plants or discrete manufacturing, with more degrees of flexibility. These manufacturing plants can consider a more flexible scheduling of the most energy-intensive processes in response to dynamic prices and overall condition of the electricity market. In this scenario, requests for energy can be encoded by means of a formal structure called flex-offers, then aggregated (joining several flex-offers into a bigger one) and sent to the market, scheduled, disaggregated and transformed into consumption plans, and eventually, into production schedules for given industrial plant. In this paper, we describe the flex-offer concept and how it can be applied to industrial and home automation scenarios. The architecture proposed in this paper aims to be adaptable to multiples scenarios (industrial, home and building automation, etc.), thus providing the foundations for different concept implementations using multiple technologies or supporting various kinds of devices. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ETFA.2014.7005193 | Emerging Technology and Factory Automation |
Keywords | DocType | Citations |
aluminium manufacture,building management systems,cost reduction,home automation,industrial plants,power consumption,power markets,raw materials,alumina industrial plant,building automation scenario,discrete manufacturing,electricity market,energy arrowhead compliant virtual market,energy cost minimization,energy-intensive process,final product,flex-offer concept,home automation scenario,industrial automation scenario,industrial process,industrial segment,intermediate goods,manufacturing plant,raw material transformation,service-oriented architectures,smart grids,service oriented architecture,schedules,job shop scheduling,computer architecture | Conference | 5 |
PageRank | References | Authors |
0.63 | 3 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luis Lino Ferreira | 1 | 115 | 17.27 |
| laurynas siksnys | 2 | 17 | 1.43 |
| per pedersen | 3 | 5 | 0.63 |
| petr stluka | 4 | 5 | 0.63 |
| Christos Chrysoulas | 5 | 20 | 6.20 |
| Thibaut Le Guilly | 6 | 20 | 3.71 |
| Michele Albano | 7 | 27 | 4.03 |
| Arne Skou | 8 | 1279 | 102.75 |
| cesar teixeira | 9 | 5 | 0.63 |
| Torben Bach Pedersen | 10 | 2102 | 181.24 |