Read and learn what the BEE Group is moving.

Scientific publications

Energy use of Jatropha oil extraction wastes: Pellets from biochar and Jatropha shell blends
ELSEVIER Journal of Cleaner Production vol. 215 pag. 1095-1102 January 2019
Authors: Valeria Ramirez ; Jaime Martí-Herrero ; Michelle Romero ; Daniel Rivadeneira
Abstract: The aim of this paper is to evaluate the use of biochar (SCB) produced through the pyrolysis of Jatropha seed cake in combination with Jatropha shell waste (JSh) to form pellet combustion fuel. Mixtures using different proportions of SCB and…
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EMPOWERING, a Smart Big Data Framework for Sustainable Electricity Suppliers
IEEE Access vol. 6 pag. 71132-71142 November 2018
Authors: Gerard Mor ; Jordi Vilaplana ; Stoyan Danov ; Jordi Cipriano ; Francesc Solsona ; Daniel Chemisana
Abstract: This paper presents the EMPOWERING project, a Big Data environment aimed at helping domestic customers to save electricity by managing their consumption positively…
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Assessing the nearly zero-energy building gap in university campuses with a feature extraction methodology applied to a case study in Spain
SPRINGER LINK | Energy and Environmental Engineering vol. 9 Issue 3 pag. 227-247 September 2018
Authors: Marc Medrano ; Josep Maria Martí ; Lídia Rincón ; Gerard Mor ;  Jordi Cipriano ; Mohammed Farid
Abstract: Public universities face the challenge of retrofitting the actual campus buildings into nearly zero-energy buildings (NZEB). In this study, a novel methodology for evaluating historical energy use and renewable energy production for all the buildings of a university…
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Comparing time-series clustering approaches for individual electrical load patterns
CIRED | Open Access Proceedings Journal June 2017
Authors: Zacharie De Greve ; Fabian Lecron ; François Vallee ; Gerard Mor ; Daniel Pérez ; Stoyan Danov ;  Jordi Cipriano
Abstract: This work positions the task of grouping electricity load time series among the vast field of clustering, andhighlights corresponding research issues. A selection of themost performant time-series clustering approaches fromthe signal…
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Using matrix factorisation for the prediction of electrical quantities
CIRED | Open Access Proceedings Journal June 2017
Authors: Fabian Lecron ; Zacharie De Greve ; François Vallee ; Gerard Mor ; Daniel Pérez ; Stoyan Danov ;  Jordi Cipriano
Abstract: The prediction task is attracting more and more attention among the power system community. Accuratepredictions of electrical quantities up to a few hours ahead (e.g. renewable production, electrical load etc.) are forinstance crucial for distribution system operators to…
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Developing indicators to  improve energy action plans in municipalities: an accounting framework based on the fund-flow model
ELSEVIER Sustainable Cities and Society vol. 32 pag. 263-276 March 2017
Authors: Xavier Cipriano ; Gonzalo GamboaStoyan DanovGerard Mor ;  Jordi Cipriano
Abstract: The main instrument used to implement the EU 2020 objectives at local level is the Covenant of Mayors, which fosters the development of Sustainable Energy Action Plans (SEAPs)…
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Hidden Markov Models for indirect classification of occupant behaviour
ELSEVIER Sustainable Cities and Society  vol. 27 pag. 83-98 November 2016
Authors: J. Liisberg ; J.K. Møller ; Hans Bloem ; Jordi Cipriano ; Gerard Mor ;  H. Madsen
Abstract: Even for similar residential buildings, a huge variability in the energy consumption can be observed. This variability is mainly due to the different behaviours of the occupants and this impacts…
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Influencing factors in energy use of housing blocks: a new methodology, based on clustering and energy simulations, for decision making in energy refurbishment projects
SPRINGER LINK | Energy Efficiency  vol. 10 Issue 2 pag. 359-382 July 2016
Authors: Xavier Cipriano ; Alfredo Vellido ; Jordi Cipriano ; Jaime Martí-HerreroStoyan Danov
Abstract: In recent years, big efforts have been dedicated to identify which are the factors with highest influence in the energy consumption of residential buildings…
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Development of a dynamic model for natural ventilated photovoltaic components and of a data driven approach to validate and identify the model parameters
ELSEVIER Solar Energy  vol. 129 pag. 310-331 May 2016
Authors: Jordi Cipriano ; G. Houzeaux ; Gerard Mor ;  U. Eicker ; Jordi Carbonell ; Stoyan Danov
Abstract: In the development of dynamic models for the energy performance evaluation of building integrated natural ventilated PV components there are still many open questions regarding the uncertainty of the estimated parameters of the models…
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Evaluation of a multi-stage guided search approach for the calibration of building energy simulation models
ELSEVIER Energy and Buildings  vol. 87  pag. 370-385 January 2015
Authors: Jordi Cipriano  ; Gerard Mor ;  Daniel Chemisana ; Daniel Pérez ; Gonzalo Gamboa ; Xavier Cipriano
Abstract: This paper is focused on increasing the knowledge on methods for calibrating BES models and to get more insights of different approaches for the optimization of the calibration process…
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ICT top-level architecture and services for energy consumption management in social housing
IECON Proceedings (Industrial Electronics Conference)  January 2014
Authors: M. Martino ; A. Guerrisi ; M. Patorelli ;  M. Tartaglia ; S. Danov ; F. Renda
Abstract: The European Commission is supporting many projects in the field of energy saving, with the aim to improve inhabitants behavior and to help Europe to meet emission targets. The objective of the Balanced European Conservation Approach – ICT services for resource saving in social housing (BECA) Project is…
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Numerical analysis of the most appropriate heat transfer correlations for free ventilated double skin photovoltaic façades
ELSEVIER Applied Thermal Engineering Vol. 57 Issues 1-2 Pag. 57-68  August 2013
Authors: Jordi Cipriano ; Guillaume Houzeaux ; Daniel Chemisana ; Chiara Lodi ; Jaime Martí-Herrero
Abstract: Double skin façades with photovoltaic integrated systems are building components which combine functions of the building envelope with electricity and thermal energy generation. The heat transfer modelling of these components, especially under free convection situations, raises a high complexity…
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Approaches to evaluate building energy performance from daily consumption data considering dynamic and solar gain effects
Elsevier Energy and Buildings Vol. 57 Pag. 110-118  February 2013
Authors: Stoyan Danov ; Jordi Carbonell ; Jordi Cipriano ; Jaime Martí-Herrero
Abstract: A method for determining the total heat loss coefficient, the effective heat capacity and the net solar gain of a building is presented. The method uses…
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An outdoor Test Reference Environment for double skin applications of Building Integrated PhotoVoltaic Systems
ELSEVIER Energy and Buildings Vol. 50 Pag. 63-78  July 2012
Authors: J.J. Bloem ; Chiara Lodi ; Jordi Cipriano ; Daniel Chemisana
Abstract: This article presents and discusses an outdoor Test Reference Environment (TRE) for double skin applications of Building Integrated PhotoVoltaic (BIPV) Systems…
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Modelling the heat dynamics of a monitored Test Reference Environment for Building Integrated Photovoltaic systems using stochastic differential equations
ELSEVIER Energy and Buildings Vol. 50 Pag. 273-281  July 2012
Authors: Chiara Lodi ; P. Bacher ; Jordi Cipriano ; H. Madsen
Abstract: This paper deals with grey-box modelling of the energy transfer of a double skin Building Integrated Photovoltaic (BIPV) system. Grey-box models are based on a combination of prior physical knowledge and statistics, which enable identification of the unknown…
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Monitoring and modelling energy efficiency of municipal public buildings: case study in Catalonia region
International Journal of Sustainable Energy Vol. 28 Issue 1-3 Pag. 3-18  December 2010
Authors: Xavier Cipriano ; Jordi Carbonell ; Jordi Cipriano
Abstract: Energy efficiency benchmarking can be used to monitor changes in the overall efficiency of buildings. Benchmarking models, based on energy efficiency indicators, are valuable tools for both public and private stakeholders…
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White papers

The documents above summarize the most important results of the project Empowering (2013-2016, Intelligent Energy Europe Program). The figures are the result of the implementation of the BEE Data in 4 utilities in Europe.

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