Avaliação do Desempenho Energético e da Qualidade do Ar Interior do Edifício Principal do Parque Biológico de Vila Nova de Gaia

A presente dissertação tem como principal propósito avaliar o desempenho energético e a qualidade do ar interior do edifício principal do Parque Biológico de Vila Nova de Gaia (PBG). Para esse efeito, este estudo relaciona os termos definidos na legislação nacional em vigor até à presente data, e referentes a esta área de atuação, em particular, os presentes no SCE, RSECE, RCCTE e RSECE-QAI. Para avaliar o desempenho energético, procedeu-se numa primeira fase ao processo de auditoria no local e posteriormente à realização de uma simulação dinâmica detalhada, cuja modelação do edifício foi feita com recurso ao software DesignBuilder. Após a validação do modelo simulado, por verificação do desvio entre os consumos energéticos registados nas faturas e os calculados na simulação, igual a 5,97%, foi possível efetuar a desagregação dos consumos em percentagem pelos diferentes tipos de utilizações. Foi também possível determinar os IEE real e nominal, correspondendo a 29,9 e 41.3 kgep/m2.ano, respetivamente, constatando-se através dos mesmos que o edifício ficaria dispensado de implementar um plano de racionalização energética (PRE) e que a classe energética a atribuir é a C. Contudo, foram apresentadas algumas medidas de poupança de energia, de modo a melhorar a eficiência energética do edifício e reduzir a fatura associada. Destas destacam-se duas propostas, a primeira propõe a alteração do sistema de iluminação interior e exterior do edifício, conduzindo a uma redução no consumo de eletricidade de 47,5 MWh/ano, com um período de retorno de investimento de 3,5 anos. A segunda está relacionada com a alteração do sistema de produção de água quente para o aquecimento central, através do incremento de uma caldeira a lenha ao sistema atual, que prevê uma redução de 50 MWh no consumo de gás natural e um período de retorno de investimento de cerca de 4 anos. Na análise realizada à qualidade do ar interior (QAI), os parâmetros quantificados foram os exigidos legalmente, excetuando os microbiológicos. Deste modo, para os parâmetros físicos, temperatura e humidade relativa, obtiveram-se os resultados médios de 19,7ºC e 66,9%, respetivamente, ligeiramente abaixo do previsto na legislação (20,0ºC no período em que foi feita a medição, inverno). No que diz respeito aos parâmetros químicos, os valores médios registados para as concentrações de dióxido de carbono (CO2), monóxido de carbono (CO), ozono (O3), formaldeído (HCHO), partículas em suspensão (PM10) e radão, foram iguais a 580 ppm, 0,2 ppm, 0,06 ppm, 0,01 ppm, 0,07 mg/m3 e 196 Bq/m3, respetivamente, verificando-se que estão abaixo dos valores máximos de referência presentes no regulamento (984 ppm, 10,7 ppm, 0,10 ppm, 0,08 ppm, 0,15 mg/m3 e 400 Bq/m3). No entanto, o parâmetro relativo aos compostos orgânicos voláteis (COV) teve um valor médio igual a 0,84 ppm, bastante acima do valor máximo de referência (0,26 ppm). Neste caso, terá que ser realizada uma nova série de medições utilizando meios cromatográficos, para avaliar qual(ais) são o(s) agente(s) poluidor(es), de modo a eliminar ou atenuar as fontes de emissão.

Study of the Reliability of Statistical Timing Analysis for Real-Time Systems

Presented at 23rd International Conference on Real-Time Networks and Systems (RTNS 2015). 4 to 6, Nov, 2015, Main Track. Lille, France.

A Methodology for Creating an Adapted Command Language for Driving an Intelligent Wheelchair

Intelligent wheelchairs (IW) are technologies that can increase the autonomy and independence of elderly people and patients suffering from some kind of disability. Nowadays the intelligent wheelchairs and the human-machine studies are very active research areas. This paper presents a methodology and a Data Analysis System (DAS) that provides an adapted command language to an user of the IW. This command language is a set of input sequences that can be created using inputs from an input device or a combination of the inputs available in a multimodal interface. The results show that there are statistical evidences to affirm that the mean of the evaluation of the DAS generated command language is higher than the mean of the evaluation of the command language recommended by the health specialist (p value = 0.002) with a sample of 11 cerebral palsy users. This work demonstrates that it is possible to adapt an intelligent wheelchair interface to the user even when the users present heterogeneous and severe physical constraints.

The characteristic time of glucose diffusion measured for muscle tissue at optical clearing

The study of agent diffusion in biological tissues is very important to understand and characterize the optical clearing effects and mechanisms involved: tissue dehydration and refractive index matching. From measurements made to study the optical clearing, it is obvious that light scattering is reduced and that the optical properties of the tissue are controlled in the process. On the other hand, optical measurements do not allow direct determination of the diffusion properties of the agent in the tissue and some calculations are necessary to estimate those properties. This fact is imposed by the occurrence of two fluxes at optical clearing: water typically directed out of and agent directed into the tissue. When the water content in the immersion solution is approximately the same as the free water content of the tissue, a balance is established for water and the agent flux dominates. To prove this concept experimentally, we have measured the collimated transmittance of skeletal muscle samples under treatment with aqueous solutions containing different concentrations of glucose. After estimating the mean diffusion time values for each of the treatments we have represented those values as a function of glucose concentration in solution. Such a representation presents a maximum diffusion time for a water content in solution equal to the tissue free water content. Such a maximum represents the real diffusion time of glucose in the muscle and with this value we could calculate the corresponding diffusion coefficient.

Crowdsourcing innovation: a strategy to leverage enterprise innovation

Innovation is recognized by academics and practitioners as an essential competitive enabler for any company to survive, to remain competitive and to grow. Investments in tasks of R&D have not always brought the expected results. But that doesn't mean that the outcomes would not be useful to other companies of the same business area or even from another area. Thus, there is much knowledge already available in the market that can be helpful to some and profitable to others. So, the ideas and expertise can be found outside a company's boundaries and also exported from within. Information, knowledge, experience, wisdom is already available in the millions of the human beings of this planet, the challenge is to use them through a network to produce new ideas and tips that can be useful to a company with less costs. This was the reason for the emergence of the area of crowdsourcing innovation. Crowdsourcing innovation is a way of using the Web 2.0 tools to generate new ideas through the heterogeneous knowledge available in the global network of individuals highly qualified and with easy access to information and technology. So, a crowdsourcing innovation broker is an organization that mediates the communication and relationship between the seekers - companies that aspire to solve some problem or to take advantage of any business opportunity - with a crowd that is prone to give ideas based on their knowledge, experience and wisdom. This paper makes a literature review on models of open innovation, crowdsourcing innovation, and technology and knowledge intermediaries, and discusses this new phenomenon as a way to leverage the innovation capacity of enterprises. Finally, the paper outlines a research design agendafor explaining crowdsourcing innovation brokering phenomenon, exploiting its players, main functions, value creation process, and knowledge creation in order to define a knowledge metamodel of such intermediaries.

A Quantitative Model for Decomposing & Assessing the Value for the Customer

The research presented in this paper proposes a novel quantitative model for decomposing and assessing the Value for the Customer. The proposed approach builds on the different dimensions of the Value Network analysis proposed by Verna Allee having as background the concept of Value for the Customer proposed by Woodall. In this context, the Value for the Customer is modelled as a relationship established between the exchanged deliverables and a combination of tangible and intangible assets projected into their endogenous or exogenous dimensions. The Value Network Analysis of the deliverables exchange enables an in-depth understanding of this frontier and the implicit modelling of co-creation scenarios. The proposed Conceptual Model for Decomposing Value for the Customer combines several concepts: from the marketing area we have the concept of Value for the Customer; from the area of intellectual capital the concept of Value Network Analysis; from the collaborative networks area we have the perspective of the enterprise life cycle and the endogenous and exogenous perspectives; at last, the proposed model is supported by a mathematical formal description that stems from the area of Multi-Criteria Decision Making. The whole concept is illustrated in the context of a case study of an enterprise in the footwear industry (Pontechem). The merits of this approach seem evident from the contact with Pontechem as it provides a structured approach for the enterprises to assess the adequacy of their value proposition to the client/customer needs and how these relate to their endogenous and/or exogenous tangible or intangible assets. The proposed model, as a tool, may therefore be a useful instrument in supporting the commercialisation of new products and/or services.