Browsing by Author "Tellado, Borja"
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Item Energy efficiency achievements in 5 years through experimental research in KUBIK(2015-06) Garay, Roberto; Chica, José Antonio; Apraiz, Inés; Campos, José María; Tellado, Borja; Uriarte, Amaia; Sánchez, V.; Tecnalia Research & Innovation; SG; DIGITAL ENERGY; EDIFICACIÓN DE ENERGÍA POSITIVAThe European construction sector (a fragmented SMEs dominated business with high economic and environmental impact and high technological inertia) faces a major challenge to reduce the emissions by almost 90% in 2050. This requires new innovative solutions and services to be rapidly implemented in the market. Research Infrastructures that give support for later-stage developments (high Technology Readiness Levels) can play a relevant role in both the technological development and market introduction of construction products for energy efficient buildings. The following paper describes such an infrastructure (KUBIKby (Tecnalia)) located in Bilbao (Spain) and its major outcomes in the period 2011-2015.Item Kubik: Open building approach for the construction of an unique experimental facility aimed to improve energy efficiency in buildings(2011) Chica, José A.; Apraiz, Inés; Elguezabal, Peru; Rrips, Marc O.; Sánchez, Victor; Tellado, Borja; SG; Tecnalia Research & Innovation; ECOEFICIENCIA DE PRODUCTOS DE CONSTRUCCIÓN; EDIFICACIÓN DE ENERGÍA POSITIVA; DIGITAL ENERGYKUBIK is aimed to the development of new concepts, products and services to improve the energy efficiency of buildings. The main characteristic of KUBIK is the capability to built realistic scenarios to analyse the energy efficiency obtained from the holistic interaction of the constructive solution for the envelope, the intelligent management of the climatisation and lighting systems and the supply from renewable energy sources. The R&D infrastructure consists of a building able to provide up to 500 m2 distributed in an underground floor, a ground floor and up to two storeys; the main dimensions are 10,00 m. width x 10,00 m. length x 10,00 meter high (plus and underground floor 3,00 m. depth). The supply of energy is based on the combination of conventional and renewable energy (geothermic, solar and wind). In addition, the building is equipped with a monitoring and control system which provides the necessary information for the R&D activities. KUBIK's main structure provides an experimental, adaptable and reconfigurable infrastructure to create the indoor environments to analyse and to allow the assembly of the constructive solutions for the envelope, floors and partitions which performance must to be assessed under realistic conditions.Item MOEEBIUS ENERGY PERFORMANCE OPTIMIZATION FRAMEWORK IN BUILDINGS FOR URBAN SUSTAINABILITY(2016-09) Romero, Ander; Tellado, Borja; Tsitsanis, Tasos; EDIFICACIÓN DE ENERGÍA POSITIVA; DIGITAL ENERGYWith the increasing demand for more energy efficient buildings, the construction and energy services industries are faced with the challenge to ensure that the energy performance and savings predicted during energy efficiency measures definition is actually achieved during operation. There is, however, significant evidence to suggest that buildings underperform illustrating a, so called, “performance gap” which is attributed to a variety of causal factors related to both predicted and in-use performance, implying that predictions tend to be unrealistically low whilst actual energy performance is usually unnecessarily high. In turn the successful penetration and effective application of ESCO business models relies on minimizing the gap between actual and predicted building energy performance. The aforementioned gap, though, prohibit the scaled deployment of energy efficiency projects constituting a significant barrier to the development of the ESCO market. The overall problem (performance gap) could be basically interpreted as an inability of current modelling techniques to represent the realistic use and operation of buildings. MOEEBIUS H2020 project introduces a Holistic Energy Performance Optimization Framework that enhances current (passive and active building elements) modelling approaches with advanced user behaviour modelling and machine learning technologies to create an innovative suite of end-user tools and applications enabling: (i) accurate Building Energy Performance prediction, (ii) precise allocation of detailed performance contributions between critical building components and operations, (iii) real-time building performance optimization, (iv) optimized retrofitting decision-making and, (v) real-time peak-load management optimization at the district level. Through the provision of a robust technological framework MOEEBIUS will enable the creation of attractive business opportunities for ESCOs, Aggregators, Maintenance and Facility Managers in evolving and highly competitive energy services markets.