Browsing by Keyword "Intelligent buildings"
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Item The District Energy-Efficient Retrofitting of Torrelago (Laguna de Duero – Spain)(2019-06-21) Vasallo, A; Vallejo, E; Massa, G; Macía, A; Pablos, L; Criado, C; Arrizabalaga, E; Iturralde, J; Gordaliza, A; De Castro, I; Larrinaga, F; PLANIFICACIÓN ENERGÉTICA; SISTEMAS TÉRMICOS EFICIENTESThe urban growth is estimated to reach up the 66 % by 2050 and consequently the need of resources within the cities will increase significantly. This, combined with the 40 % of energy consumption and 36 % of CO2 emissions of the building sector, makes necessary to accelerate the transition towards more sustainable cities. The CITyFiED project contributes to this transition, aiming to develop an innovative and holistic methodological approach for energy-efficient district renovation and deliver three large scale demonstration cases in the cities of Lund (Sweden), Laguna de Duero (Spain) and Soma (Turkey). CITyFiED methodology consists of several phases that ease the decision-making tasks towards the district renovation, considering the energy efficiency as the main pillar and local authorities as clients. For the case of Torrelago district (Spain) the intervention consists of a set of energy conservative measures including the facąde retrofitting of 143.025 m2 of living space in 31 twelve-storey buildings; the renovation of the district heating network with a new biomass thermal plant; the integration of renewable energy sources, including a micro-cogeneration system, and the installation of individual smart meters. After the renovation action, one-year monitoring campaign is ongoing. The CITyFiED monitoring platform will collect information from the energy systems and deliver environmental, technical, economic and social key performance indicators by March 2019. At the end of the project the achievement of the predefined goals will be verified: Up to 36 % of energy saving and 3,429 tons-CO2/yr emissions saving covering the 59,4 % of the energy consumption with renewable sources.Item OptEEmAL: Decision-Support Tool for the Design of Energy Retrofitting Projects at District Level: Decision-Support Tool for the Design of Energy Retrofitting Projects at District Level(2019-06-21) García-Fuentes, M A; Hernández, G; Serna, V; Martín, S; Álvarez, S; Lilis, G N; Giannakis, G; Katsigarakis, K; Mabe, L; Oregi, X; Manjarres, D; Ridouane, H El; De Tommasi, L; PLANIFICACIÓN ENERGÉTICA; Tecnalia Research & Innovation; IADesigning energy retrofitting actions poses an elevated number of problems, as the definition of the baseline, selection of indicators to measure performance, modelling, setting objectives, etc. This is time-consuming and it can result in a number of inaccuracies, leading to inadequate decisions. While these problems are present at building level, they are multiplied at district level, where there are complex interactions to analyse, simulate and improve. OptEEmAL proposes a solution as a decision-support tool for the design of energy retrofitting projects at district level. Based on specific input data (IFC(s), CityGML, etc.), the platform will automatically simulate the baseline scenario and launch an optimisation process where a series of Energy Conservation Measures (ECMs) will be applied to this scenario. Its performance will be evaluated through a holistic set of indicators to obtain the best combination of ECMs that complies with user's objectives. A great reduction in time and higher accuracy in the models are experienced, since they are automatically created and checked. A subjective problem is transformed into a mathematical problem; it simplifies it and ensures a more robust decision-making. This paper will present a case where the platform has been tested.