Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3323
Sat, 01 Oct 2016 17:29:32 GMT
20161001T17:29:32Z

Diseño de rutas de recogida de residuos sólidos urbanos en el área metropolitana de Barcelona
http://hdl.handle.net/2117/90193
Diseño de rutas de recogida de residuos sólidos urbanos en el área metropolitana de Barcelona
Bautista Valhondo, Joaquín; Pereira Gude, Jordi; Fernández Aréizaga, Elena
Los problemas aso ciados a la recogida de residuos sólidos urbanos son muy variados. En este traba jo se presenta el problema de diseño de itinerarios de recogida y se muestran los resultados ofrecidos p or un pro cedimiento basado en colonias de hormigas a la recogida en un núcleo urbano del Área Metrop olitana de Barcelona.
Mon, 26 Sep 2016 11:33:11 GMT
http://hdl.handle.net/2117/90193
20160926T11:33:11Z
Bautista Valhondo, Joaquín
Pereira Gude, Jordi
Fernández Aréizaga, Elena
Los problemas aso ciados a la recogida de residuos sólidos urbanos son muy variados. En este traba jo se presenta el problema de diseño de itinerarios de recogida y se muestran los resultados ofrecidos p or un pro cedimiento basado en colonias de hormigas a la recogida en un núcleo urbano del Área Metrop olitana de Barcelona.

Numerical implementation and computational results of nonlinear network optimization with linear side constraints
http://hdl.handle.net/2117/89385
Numerical implementation and computational results of nonlinear network optimization with linear side constraints
Heredia, F.Javier (Francisco Javier); Nabona Francisco, Narcís
Thu, 25 Aug 2016 13:03:53 GMT
http://hdl.handle.net/2117/89385
20160825T13:03:53Z
Heredia, F.Javier (Francisco Javier)
Nabona Francisco, Narcís

Optimal location of fast charging stations in Barcelona: a flowcapturing approach
http://hdl.handle.net/2117/89381
Optimal location of fast charging stations in Barcelona: a flowcapturing approach
Cruz Zambrano, Miguel; Corchero García, Cristina; Igualada González, Lucía; Bernardo, Valeria
The aim of this paper is to find the optimal location of electric vehicle (EV) fast charging stations by means of two methodologies: a classical flowcapturing optimization model involving only mobility needs, and an advanced flowcapturing optimization model including distribution network and location costs. While the first model aims to maximize the public service provided by the fast charging stations, the second also considers the incurred cost for providing it. Results from both models are compared in order to analyse the effect of both planning approaches in total cost of installation. As a case study it has been chosen the city of Barcelona.
Wed, 24 Aug 2016 08:57:52 GMT
http://hdl.handle.net/2117/89381
20160824T08:57:52Z
Cruz Zambrano, Miguel
Corchero García, Cristina
Igualada González, Lucía
Bernardo, Valeria
The aim of this paper is to find the optimal location of electric vehicle (EV) fast charging stations by means of two methodologies: a classical flowcapturing optimization model involving only mobility needs, and an advanced flowcapturing optimization model including distribution network and location costs. While the first model aims to maximize the public service provided by the fast charging stations, the second also considers the incurred cost for providing it. Results from both models are compared in order to analyse the effect of both planning approaches in total cost of installation. As a case study it has been chosen the city of Barcelona.

A stochastic programming model for the tertiary control of microgrids
http://hdl.handle.net/2117/87023
A stochastic programming model for the tertiary control of microgrids
Citores, Leire; Corchero García, Cristina; Heredia, F.Javier (Francisco Javier)
In this work a scenariobased twostage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.
Thu, 12 May 2016 14:15:37 GMT
http://hdl.handle.net/2117/87023
20160512T14:15:37Z
Citores, Leire
Corchero García, Cristina
Heredia, F.Javier (Francisco Javier)
In this work a scenariobased twostage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.

Potential externalities savings due to electric vehicle smart charge
http://hdl.handle.net/2117/86395
Potential externalities savings due to electric vehicle smart charge
Benveniste Pérez, Gabriela; Corchero García, Cristina; Cruz Zambrano, Miguel
This work focuses on the analysis developed in order to demonstrate how smart charging, using tailored control algorithms, contributes to minimize the environmental impact and economic costs associated to the electric vehicles under an LCA perspective. The analysis considers the Spanish grid mix profile and specific charging patterns.The LCA methodology adopted implies a comprehensive assessment of the impacts and costs occurring upstream and downstream the charging event. For the environmental analysis, the LCA impact categories are considered, while for the economic assessment, data regarding the costs associated to the electricity price and the pollutants generation have been adopted.
Thu, 28 Apr 2016 15:17:03 GMT
http://hdl.handle.net/2117/86395
20160428T15:17:03Z
Benveniste Pérez, Gabriela
Corchero García, Cristina
Cruz Zambrano, Miguel
This work focuses on the analysis developed in order to demonstrate how smart charging, using tailored control algorithms, contributes to minimize the environmental impact and economic costs associated to the electric vehicles under an LCA perspective. The analysis considers the Spanish grid mix profile and specific charging patterns.The LCA methodology adopted implies a comprehensive assessment of the impacts and costs occurring upstream and downstream the charging event. For the environmental analysis, the LCA impact categories are considered, while for the economic assessment, data regarding the costs associated to the electricity price and the pollutants generation have been adopted.

European electric vehicle fleet: driving and charging behaviors
http://hdl.handle.net/2117/86393
European electric vehicle fleet: driving and charging behaviors
Corchero García, Cristina
The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, endusers incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smartcharge impact…
Thu, 28 Apr 2016 15:10:46 GMT
http://hdl.handle.net/2117/86393
20160428T15:10:46Z
Corchero García, Cristina
The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, endusers incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smartcharge impact…

Using BCDCTA for difficult tables: a practical experiment with a real Eurostat table
http://hdl.handle.net/2117/83503
Using BCDCTA for difficult tables: a practical experiment with a real Eurostat table
Castro Pérez, Jordi; González Alastrué, José Antonio; Hundepool, Anco
CTA is a posttabular perturbative approach for statistical disclosure control. Its purpose is to compute the closest safe table to the original data, using some distance.
Sensitive cells are adjusted either upwards or downwards (binary decision), and the resulting cells have to be accordingly (and minimally) modi_ed to preserve marginals. For real and large tables, CTA may result in a dicult mixed integer linear problem for some
weights in the objective function. In those situations the Block Coordinate Descent (BCD) heuristic for CTAwhich is included in the TauArgus CTA distributionmay be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult realworld table from Eurostat. We will show that, for unitary weights, while the standard CTA can not obtain a solution in about half an hour, the BCDCTA approach provides a solution in few seconds.
Fri, 26 Feb 2016 15:41:16 GMT
http://hdl.handle.net/2117/83503
20160226T15:41:16Z
Castro Pérez, Jordi
González Alastrué, José Antonio
Hundepool, Anco
CTA is a posttabular perturbative approach for statistical disclosure control. Its purpose is to compute the closest safe table to the original data, using some distance.
Sensitive cells are adjusted either upwards or downwards (binary decision), and the resulting cells have to be accordingly (and minimally) modi_ed to preserve marginals. For real and large tables, CTA may result in a dicult mixed integer linear problem for some
weights in the objective function. In those situations the Block Coordinate Descent (BCD) heuristic for CTAwhich is included in the TauArgus CTA distributionmay be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult realworld table from Eurostat. We will show that, for unitary weights, while the standard CTA can not obtain a solution in about half an hour, the BCDCTA approach provides a solution in few seconds.

Economic analysis of battery electric storage systems operating in electricity markets
http://hdl.handle.net/2117/82524
Economic analysis of battery electric storage systems operating in electricity markets
Heredia, F.Javier (Francisco Javier); Riera, Jordi; Mata, Montserrat; Escuer, Joan; Romeu, Jordi
Battery electric storage systems (BESS) in the range of 110 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Liion based BESS systems for small electricity producers. The results of the expost economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Liion based BESS thanks to the optimal operation in dayahead and ancillary electricity markets.
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Wed, 03 Feb 2016 18:04:17 GMT
http://hdl.handle.net/2117/82524
20160203T18:04:17Z
Heredia, F.Javier (Francisco Javier)
Riera, Jordi
Mata, Montserrat
Escuer, Joan
Romeu, Jordi
Battery electric storage systems (BESS) in the range of 110 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Liion based BESS systems for small electricity producers. The results of the expost economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Liion based BESS thanks to the optimal operation in dayahead and ancillary electricity markets.

Solutions to the facility location problem with general Bernoulli demands
http://hdl.handle.net/2117/78990
Solutions to the facility location problem with general Bernoulli demands
Albareda Sambola, Maria; Fernández Aréizaga, Elena; Saldanha da Gama, Francisco
In this work we address the facility location problem with general Bernoulli demands. Extended formulations are proposed for two different outsourcing policies, which allow using sample average approximation for estimating optimal values. In addition, solutions are obtained heuristically and their values compared with the obtained estimates. Numerical results of a series of computational experiments are presented and analyzed.; In this work we address the facility location problem with general Bernoulli demands. Extended formulations are proposed for two different outsourcing policies, which allow using sample average approximation for estimating optimal values. In addition, solutions are obtained heuristically and their values compared with the obtained estimates. Numerical results of a series of computational experiments are presented and analyzed.
Tue, 10 Nov 2015 18:59:27 GMT
http://hdl.handle.net/2117/78990
20151110T18:59:27Z
Albareda Sambola, Maria
Fernández Aréizaga, Elena
Saldanha da Gama, Francisco
In this work we address the facility location problem with general Bernoulli demands. Extended formulations are proposed for two different outsourcing policies, which allow using sample average approximation for estimating optimal values. In addition, solutions are obtained heuristically and their values compared with the obtained estimates. Numerical results of a series of computational experiments are presented and analyzed.
In this work we address the facility location problem with general Bernoulli demands. Extended formulations are proposed for two different outsourcing policies, which allow using sample average approximation for estimating optimal values. In addition, solutions are obtained heuristically and their values compared with the obtained estimates. Numerical results of a series of computational experiments are presented and analyzed.

The uncertainty of the energy demand in existing mediterranean urban blocks
http://hdl.handle.net/2117/77469
The uncertainty of the energy demand in existing mediterranean urban blocks
Ortiz, Joana Aina; Salom Tormo, Jaume; Corchero García, Cristina; Guarino, Francesco
The objective of the paper is to describe a stochastic model that has been developed to obtain load
profiles for household electricity. For the study,
several profiles have been generated in order to
simulate the electrical demand of a residential building block or neighbourhood and evaluate the
uncertainty of its energy use. The paper is divided in three different parts: development of the model, validation and determination of the uncertainty demand. In the first parts the basis of the model and how it works is explained. The second one represents the validation of the model, the input data and its results. The last step is focused on a statistical analysis of the electricity demand of a block of dwellings to evaluate minimum number of dwellings needed to estimate the average demand representative of the Mediterranean dwelling with different levels of accuracy
Wed, 07 Oct 2015 17:25:00 GMT
http://hdl.handle.net/2117/77469
20151007T17:25:00Z
Ortiz, Joana Aina
Salom Tormo, Jaume
Corchero García, Cristina
Guarino, Francesco
The objective of the paper is to describe a stochastic model that has been developed to obtain load
profiles for household electricity. For the study,
several profiles have been generated in order to
simulate the electrical demand of a residential building block or neighbourhood and evaluate the
uncertainty of its energy use. The paper is divided in three different parts: development of the model, validation and determination of the uncertainty demand. In the first parts the basis of the model and how it works is explained. The second one represents the validation of the model, the input data and its results. The last step is focused on a statistical analysis of the electricity demand of a block of dwellings to evaluate minimum number of dwellings needed to estimate the average demand representative of the Mediterranean dwelling with different levels of accuracy