F.-Javier Heredia - Academic web site

Publication Type	Conference Paper
Year of Publication	2018
Authors	F.-Javier Heredia
Conference Name	Maths for Industry 4.0
Conference Date	19/02/2018
Conference Location	Barcelona
Type of Work	Round table
Key Words	research,; industrial mathematics; industry 4.0; BGSMath
Abstract	“Maths for Industry 4.0” will showcase how academic excellence at BGSMath is helping companies becoming digital. Join us to learn about successful collaborative initiatives, such as industrial doctoral theses, as well as the range of expertise you could benefit from. The workshop will be closed by a round table on Data Analytics. Our experts will discuss common challenges and trends across sectors, and how mathematical creativity enable solutions for supply chain, risk management, control and monitoring. This activity belongs to the Mobile Week Barcelona and it’s an open space for reflexion on digital transformation through art, science and technology.
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The Barcelona Graduate School of Mathematics (BGSMath ) organized last February 19 2018 the workshop "Maths for Industry 4.0 " to showcase how academic excellence at BGSMath is helping companies becoming digital through several successful collaborative initiatives, such as industrial doctoral theses or consultancy and development projects of the BGSMaths's research groups in Data Science and Optimization. The workshop will be closed by the round table "Optimising data analytics for industry 4.0" where I was invited to participate as expert in supply chain optimization. This activity is embedded into the Mobile Week Barcelona and it's an open space for reflexion on digital transformation through art, science and technology. More photos of the event at this link .

Publication Type	Journal Article
Year of Publication	2018
Authors	F.-Javier Heredia; Julián Cifuentes-Rubiano; Cristina Corchero
Journal Title	Journal of Environmental Management
Volume	207
Issue	1
Pages	12
Start Page	432
Journal Date	February 2018
Publisher	Elsevier
ISSN Number	0301-4797
Key Words	research; OR in Energy; Stochastic Programming; Risk Management; Electricity market; Emissions reduction; paper
Abstract	There are many factors that influence the day-ahead market bidding strategies of a generation company (GenCo) within the framework of the current energy market. Environmental policy issues are giving rise to emission limitation that are becoming more and more important for fossil-fueled power plants, and these must be considered in their management. This work investigates the influence of the emissions reduction plan and the incorporation of the medium-term derivative commitments in the optimal generation bidding strategy for the day-ahead electricity market. Two different technologies have been considered: the high-emission technology of thermal coal units and the low-emission technology of combined cycle gas turbine units. The Iberian Electricity Market (MIBEL) and the Spanish National Emissions Reduction Plan (NERP) defines the environmental framework for dealing with the day-ahead market bidding strategies. To address emission limitations, we have extended some of the standard risk management methodologies developed for financial markets, such as Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR), thus leading to the new concept of Conditional Emission at Risk (CEaR). This study offers electricity generation utilities a mathematical model for determining the unit’s optimal generation bid to the wholesale electricity market such that it maximizes the long-term profits of the utility while allowing it to abide by the Iberian Electricity Market rules as well as the environmental restrictions set by the Spanish National Emissions Reduction Plan. We analyze the economic implications for a GenCo that includes the environmental restrictions of this National Plan as well as the NERP’s effects on the expected profits and the optimal generation bid.
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DOI	10.1016/j.jenvman.2017.11.010
Preprint	http://hdl.handle.net/2117/114024
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Publication Type	Conference Paper
Year of Publication	2017
Authors	F.-Javier Heredia; Marlyn D. Cuadrado; J.-Anton Sánchez
Conference Name	4th International Conference on Optimization Methods and Software 2017
Conference Date	16-21/12/2017
Conference Location	La Havana
Type of Work	Invited presentation
Key Words	multistage; VSS; wind-BESS VPP; wind power; energy storage; battery; research
Abstract	One of the objectives of the FOWGEN project (https://fowgem.upc.edu) was to study the economic feasibility and optimal operation of a wind-BESS Virtual Power Plant (VPP): In [1] an ex-post economic analysis shows the economic viability of a wind-BESS VPP thanks to the optimal operation in day-ahead and ancillary electricity markets; In [2] a new multi-stage stochastic programming model (WBVPP)for the optimal bid of a wind producer both in spot and ancillary services electricity markets is developed. The work presented here extends the study in [2] with a new methodology to treat the uncertainty, based in forecasting models, and the study of the quality of the stochastic solution. [1] F-Javier Heredia et al. Economic analysis of battery electric storage systems operating in electricity markets 12th International Conference on the European Energy Market (EEM15), 2015 DOI: 10.1109/EEM.2015.7216739. [2] F-Javier Heredia et al. On optimal participation in the electricity markets of wind power plants with battery energy storage system. Submitted, under second revision. 2017.
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Publication Type	Conference Paper
Year of Publication	2017
Authors	J. Minguella-Canela; A. Muguruza; D.R. Lumbierres; F.-Javier Heredia; R. Gimeno; P. Guo; M. Hamilton; K. Shastry; S. Webb
Conference Name	Manufacturing Engineering Society International Conference 2017, MESIC 2017, 28-30
Conference Date	28-30/07/2017
Publisher	Elsevier
Conference Location	Vigo, Spain
Type of Work	Contributed presentation
Key Words	research; Additive Manufacturing; Ultra-postponement; Supply Chain; stochastic programming
Abstract	The best-selling products manufactured nowadays are made in long series along rigid product value chains. Product repetition and continuous/stable manufacturing is seen as a chance for achieving economies of scale. Nevertheless, these speculative strategies fail to meet special customer demands, thus reducing the effective market share of a product in a range. Additive Manufacturing technologies open promising product customization opportunities; however, to achieve it, it is necessary to delay the production operations in order to incorporate the customer’s inputs in the product materialization. The study offered in the present paper compares different possible production strategies for a product (via conventional technologies and Additive Manufacturing) and assesses the degree of postponement that it would be recommended in order to meet a certain demand distribution. The problem solving is calculated by a program containing a stochastic mathematical model which incorporates extensive information on costs and lead times for the required manufacturing operations.
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Publication Type	Conference Paper
Year of Publication	2017
Authors	F.-Javier Heredia; Marlyn D. Cuadrado
Conference Name	WindFarms 2017
Conference Date	31/05-02/06/2017
Conference Location	Madrid, Spain
Type of Work	Invited presentation
Key Words	research; wind farms; Ion-Li battery; multistage stochastic programming; stochastic programming
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Publication Type	Funded research projects
Year of Publication	2016
Authors	F.-Javier Heredia
Type of participation	Leader
Duration	11/2016-11/2019
Funding organization	Accenture Technology Labs
Partners	Accenture Technology Labs (Silicon Valley), Accenture Analytics Innovation Center (Barcelona)
Full time researchers	2
Budget	132.532,43€
Project code	I-01507, I-01508
Key Words	research; supply chain; manufacturing; private; project; Accenture
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Publication Type	Proceedings Article
Year of Publication	2016
Authors	Miguel Mata Perez; F.-Javier Heredia; Claudia Morales Carreon
Conference Name	Congreso Internacional de Logística y Cadena de Suministro 2016 CILOG2016
Series Title	Sesiones técnicas
Volume	2
Pagination	38-46
Conference Start Date	3-7/09/2016
Publisher	Asociación Mexicana de Logística y Cadena de Suministro A.C.
Conference Location	Yucatán, México
Key Words	research; supply chain; distribution chain; logistics; paper
Abstract	Hoy en día los costos logísticos representan una gran oportunidad de mejora para las empresas siendo los costos de transporte y los costos de inventario los más representativos. En este trabajo se presenta un estudio de una empresa ubicada en la región, la cual incurre actualmente en altos costos logísticos en su proceso de importación de materia prima desde Asia hasta su filial en Monterrey, N.L. Por medio de un modelo matemático entero mixto se consigue minimizar los costos antes mencionados. El modelo tiene las siguientes características: es de ubicación de facilidades en cuatro etapas, multiproducto, multiperiodo y multitransporte.
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Publication Type	Tesis de Grau i Màster // BSc and MSc Thesis
Year of Publication	2016
Authors	Maksims Sisovs
Director	F.-Javier Heredia
Tipus de tesi	MSc Thesis
Titulació	"KIC InnoEnergy" Master of Science in Smart Electrical Networks and Systems
Centre	Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB)
Data defensa	16/09/2016
Nota // mark	10 MH (A+ with honours)
Key Words	teaching; BEES; battery energy storage systems; electrical vehicle; smart meters; retail energy market; MSc Thesis
Abstract	The main focus of this master thesis project is to evaluate the economic, technical and regulatory feasibility of distributed battery energy storage systems (BESS) and the potential opportunity of electricity companies to increase their prots through advanced operation in energy services, such as electric energy time-shift, ancillary or electric vehicle incentives in Spanish electricity market. To assess the feasibility, an optimization tool has been developed. This tool simulates energy trading between different market participants with particular features extracted from data analysis and literature. Load consumption proles had been developed from smart meter real data by applying several data mining techniques. This part had been guided by external collaborating entity Minsait. Electricity market analysis includes the overview of its functionality principles and regulatory side regarding storage adaptation and specific service applicability. Market historical prices were used for further electricity trading simulation. A brief technical insight explains current storage situation and tells about high-potential technologies in emerging markets. Benchmark analysis covers several products of battery manufacturers with relevant technical and price information. Spanish electricity market showed low adaptability to distributed BESS solutions: energy arbitrage incomes have resulted being insuficient. Ancillary services, despite promising economic gures, are to a large extent prohibited to be provided by distributed storage. Electric vehicle incentives, though, resulted being of a high interest due to absence of direct investment.
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