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Optimal control of energy hub systems by use of SQP algorithm and energy prediction
dc.contributor.author | Kampouropoulos, Konstantinos |
dc.contributor.author | Sala Cardoso, Enric |
dc.contributor.author | Andrade, Fabio |
dc.contributor.author | Romeral Martínez, José Luis |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2015-04-09T15:57:03Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Kampouropoulos, K. [et al.]. Optimal control of energy hub systems by use of SQP algorithm and energy prediction. A: IEEE International Conference on Industrial Electronics. "Proceedings of the 40th Annual Conference of the IEEE Industrial Electronics Society". Dallas, TX: 2014. |
dc.identifier.isbn | 978-1-4799-4033-2 |
dc.identifier.uri | http://hdl.handle.net/2117/27224 |
dc.description.abstract | This paper presents an energy optimization methodology applied on industrial plants with multiple energy carriers. The methodology combines an adaptive neuro-fuzzy inference system to calculate the short-term load forecasting of a plant, and the sequential quadratic programming algorithm to optimize its energy flow. Furthermore, the mathematical models of the plant's equipment are considered into the optimization process, in order to calculate the dynamic system response and the equipment's inertias. The final algorithm optimizes the operation of the plant in order to satisfy the energy demand, minimizing several optimization criteria. The methodology has been tested and evaluated in an automotive factory plant using real production and consumption data. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject.lcsh | Electric engineering |
dc.subject.other | adaptive neuro-fuzzy inference system |
dc.subject.other | energy hub |
dc.subject.other | energy optimization |
dc.subject.other | energy prediction |
dc.subject.other | sequential quadratic programming algorithm |
dc.title | Optimal control of energy hub systems by use of SQP algorithm and energy prediction |
dc.type | Conference report |
dc.subject.lemac | Enginyeria electrònica |
dc.subject.lemac | Enginyeria elèctrica |
dc.contributor.group | Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
dc.identifier.doi | 10.1109/IECON.2014.7048503 |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7048503 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 15550932 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Kampouropoulos, K.; Sala, E.; Andrade, F.; Romeral, J. |
local.citation.contributor | IEEE International Conference on Industrial Electronics |
local.citation.pubplace | Dallas, TX |
local.citation.publicationName | Proceedings of the 40th Annual Conference of the IEEE Industrial Electronics Society |
local.citation.startingPage | 202 |