Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Javier Silvente"'
Publikováno v:
Computers & Chemical Engineering. 125:449-459
This work addresses the optimal management of a system through a two-stage stochastic Non-Linear Programming (NLP) formulation. This approach uses a scenario-based mathematical formulation to tackle uncertain information. Accurate representation of u
Publikováno v:
Energy Procedia. 142:2485-2490
Uninterrupted supply of electricity and heat is essential for human activities, especially, in remote regions with extremely cold climate such as Kazakhstan. Boilers underperformance and unexpected shut-down can lead to economic losses and damage to
Publikováno v:
Applied Energy. 206:1131-1146
This work is focused on the optimal management of electricity and heat generation and demand in microgrids. The objective of the proposed mathematical model is to adjust energy and heat availability profiles resulting from the use of renewable energy
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
This paper addresses the optimal management of a multi-objective bio-based energy supply chain network subjected to multiple sources of uncertainty. The complexity to obtain an optimal solution using traditional uncertainty management methods dramati
Autor:
Nurkhat Zhakiyev, Damir Tutkushev, Yerbol Akhmetbekov, Javier Silvente, Oluwatosin C. Murele, Georgios M. Kopanos
In this study, an efficient optimization framework is presented for the simultaneous planning of energy production and maintenance in combined heat and power plants, and applied in the largest coal-fired cogeneration plant of Kazakhstan. In brief, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::274fcce9abfcd9cbc51c1a097dcbb582
http://dspace.lib.cranfield.ac.uk/handle/1826/13308
http://dspace.lib.cranfield.ac.uk/handle/1826/13308
This work presents a Mixed Integer Linear Programming (MILP) approach based on a combination of a rolling horizon and stochastic programming formulation. The objective of the proposed formulation is the optimal management of the supply and demand of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1497a0c106e473e66b8da73d27160e11
https://dspace.lib.cranfield.ac.uk/handle/1826/12544
https://dspace.lib.cranfield.ac.uk/handle/1826/12544
This work addresses the optimal management of a microgrid through a two-stage Mixed Integer Linear Programming (MILP) approach. This approach uses a scenario-based mathematical formulation to deal with uncertain information. Sufficient representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a8737bc96dc3eab2c66987d9ead7316
https://doi.org/10.1016/b978-0-444-63965-3.50378-0
https://doi.org/10.1016/b978-0-444-63965-3.50378-0
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
Current supply chain (SC) optimization models deal with material and information flows along few echelons of the SC (“own SC”), minimizing the role of the complex behavior of third parties (raw materials and utilities suppliers, clients, waste an
Autor:
Miguel Zamarripa, Carlos A. Méndez, Antonio Espuña, Moisès Graells, Javier Silvente, Adrián M. Aguirre
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This paper analyses the operational decision making procedures required to address the simultaneous management of energy supplies and requests in a microgrid scenario, in order to best accommodate arbitrary energy availability profiles resulting from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0f9e3429fba4758032a774585d85562
http://www.sciencedirect.com/science/article/pii/S036054421500609X
http://www.sciencedirect.com/science/article/pii/S036054421500609X
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This work proposes a discrete-time Mixed Integer Linear Programming (MILP) formulation based on a combined rolling horizon and stochastic programming approach for the simultaneous management of energy supply and demand in microgrids, considering flex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed7bffce4296bc19c35b2e11ec016aae
https://hdl.handle.net/2117/78935
https://hdl.handle.net/2117/78935