IPS - ESTS – DEM - Artigos científicos
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- On the Typology, Costs, Energy Performance, Environmental Quality and Operational Characteristics of Double Skin Façades in European BuildingsPublication . Streicher, Wolfgang; Heimrath, Richard; Hengsberger, Herwig; Mach, Thomas; Waldnere, Reinhard; Flamantf, Gilles; Loncourg, Xavier; Guarracinoh, Gérard; Erhorni, Hans; Erhorn-Kluttigj, Heike; Santamourisk, Matheos; Faroul, Ifigenia; Zerefosm, S.; Assimakopoulosn, M.; Duarte, Rogério; Blomsterbergp, Åke; Sjöbergq, Lars; Blomquistr, ChristerThe project BESTFAÇADE, sponsored by the Energy Intelligent Europe programme of the European Union, and led by MCE-Anlagenbau, Austria, accumulated the state of the art of double skin façades (DSFs) in seven European countries (Austria, Belgium, France, Germany, Greece, Portugal and Sweden). Twenty-eight façades of different buildings in all partner countries of BESTFAÇADE have been analysed for the aspects, types of façade in different countries, DSFs in different climatic regions of Europe, existing simulations and measurements, thermal behaviour, indoor air quality, comfort, user acceptance, energy demand and consumptions, control strategies, integrated building technology, cost (investment, maintenance and operation), resource conservation, environmental impact, comparison to conventional glass façades (CGFs), integration of renewable energy sources into DSFs, as well as non-energy related issues, such as, acoustics, aesthetics, fire protection, moisture, corrosion, durability, maintenance and repair. Most of the buildings are office buildings, followed by schools and service buildings. Nearly all of the buildings have mechanical ventilation systems, and both heating and cooling are performed mostly by air heating/cooling systems. The types of façades are mainly multi-storey and corridor types; in Belgium juxtaposed modules are frequently used. The façade gaps are mostly naturally ventilated (except for Belgium, where the indoor air is led by mechanical ventilation via the gap to the centralized air handling unit). The shading is performed mainly with Venetian blinds located in the gap. Unfortunately data on energy demand and temperatures are infrequently measured and rarely available. The cost of DSFs is significantly higher than conventional façades.
- Influence of virtual changes in buildingconfigurations of a real street canyon on thedispersion of PM10Publication . Garcia, João; Cerdeira, Rita; Tavares, Nelson; Coelho, Luis Manuel Rodrigues; Kumar, Prashant; Carvalho, M. G.Four geometrical configurations of a real street canyon in Barreirocity (Portugal) are considered to study their influence on the dis-persion of PM10. These configurations include actual architectural layout of the street (Option 1), and three virtual cases (Options1–3). Option 2 includes the modification of real geometry byincluding 4 m gaps between the buildings situated on the southern part of the street canyon. Option 3 considers 6 m gaps betweenbuildings as opposed to 4 m gaps in Option 2. Option 4 assumesthe same height for all buildings on the southern part of the street canyon, with no gaps between buildings. Computational fluid dynamics code (CFD), FLUENT, is used to simulate the detailed flow and turbulence characteristics in three-dimensional domain ofchosen street canyon, together with the PM10 dispersion for both the summer and winter seasons. The modelled PM10 concentra-tions were then compared with the measured data at seven differ-ent locations in the street canyon. Our results indicate up to 23%lower PM10concentrations at 1.5 m above the road level during the along-canyon wind direction due to the channelling of flow,compared with those observed during the cross-canyon wind direction. Detailed inspection of the results obtained from the Options 1–3 indicated that the spacing between the buildings tendto increase particle dilution during the cross-canyon winds resulting in up to 20, and 22% reduced concentrations for options 2,and 3 respectively, compared with the actual configuration (Option1). The largest improvement ( 7%) in the PM10concentrations wasgiven by Option 2, while other options showed modest changes.Possible reasons for these changes under varying meteorological conditions are explained in the context of changing building con-figurations and their implications in city planning.
- Studying street geometry influence in PM10 concentrationPublication . Garcia, João; Cerdeira, Rita; Tavares, Nelson; Coelho, Luis Manuel Rodrigues
- Gestão de segurança e saúde no trabalho em projetosPublication . Costa, Olga; Didelet, Filipe
- Personal exposure to particle concentration in a busy streetPublication . Garcia, João; Cerdeira, R.; Tavares, N.; Coelho, Luis Manuel Rodrigues
- Optimal design and controlof mechanical systems with uncertain inputPublication . Moita, Paulo; Cardoso, J. B.; Barreiros, A.
- Influence of Pedestrian Trajectories on School Children Exposure to PM10Publication . Garcia, João; Cerdeira, Rita; Coelho, Luis Manuel Rodrigues; Kumar, P.; Carvalho, Maria da Graça
- Analysis of Pedestrian Short-Term Exposure on a High Traffic City StreetPublication . Garcia, João; Cerdeira, Rita; Tavares, Nelson; Coelho, Luis Manuel Rodrigues; Carvalho, M. G.
- Developing a methodology to predict PM10 urban concentrations using GLMPublication . Garcia, João; Teodoro, F.; Cerdeira, Rita; Coelho, Luis Manuel Rodrigues; Carvalho, Maria da Graça
- Identifying at-risk students in higher educationPublication . Duarte, Rogério; Pires, A.M.R.; Gonçalves, HelenaThe successful implementation of quality management systems in higher education relies on the ability to address topics meaningful to stakeholders. A topic that is moving to the top of many higher education institutions agendas and is meaningful to students, faculty and management is student dropout. Alongside its social and personal consequences, dropout impairs cost efficiency and the institution's image. This paper shows that in spite of the complex web of factors influencing student dropout, simple models for the identification of at-risk of dropout students can be derived and used to support decision making. The paper starts with an introduction to dropout models, next, the difficulty in implementing quality management systems in higher education is addressed; details about a process for the identification of at-risk students are presented. A case study is used to show that it is possible to identify at-risk students using only academic data and administrative records. Finally, the advantage of including an at-risk student identification process within the framework of a higher education quality management system is discussed.