Intelligent predictive control for thermal comfort and energy savings in public buildings

This talk addresses the problem of controlling a heating ventilating and air conditioning system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and minimises the energy spent to comply with it. This results in the maintenance of thermal comfort and on the minimisation of energy, which in most operating conditions are conflicting goals requiring some sort of optimisation method to find appropriate solutions over time. In this work a discrete model based predictive control methodology is applied to the problem. It consists of three major components: the predictive models, implemented by radial basis function neural networks identifed by means of a multi-objective genetic algorithm [1]; the cost function that will be optimised to minimise energy consumption and provide adequate thermal comfort; and finally the optimisation method, in this case a discrete branch and bound approach. Each component will be described, with a special emphasis on a fast and accurate computation of the PMV indices [2]. Experimental results obtained within different rooms in a building of the University of Algarve will be presented, both in summer [3] and winter [4] conditions, demonstrating the feasibility and performance of the approach. Energy savings resulting from the application of the method are estimated to be greater than 50%.

The role of hypoxia in the regulation of membrane transporters

ATP binding cassette (ABC) and solute carrier (SLC) transporters are responsible for the majority of the transcellular movement of various substrates, including drugs, among epithelial cells. Despite the well characterized regulation of influx (SLC) and efflux (ABC) transporters by endogenous mediators, such as inflammatory cytokines, little is known about how changes in oxygen levels may affect expression of these transporters. In this study we showed that the expression of SLC22A4, SLC22A5, SLC22A1, SLC02B1, SLC10A2, ABCC2 and ABCC3 transporters is upregulated by hypoxia in HT29 colon carcinoma cells, but not in HepG2 hepatocarcinoma cells. Moreover, OCTN1 (SLC22A4), OCT1 (SLC22A1) and OATP-B (SLC02B1) transporter expression is also induced by inflammatory cytokines but in a smaller extent than in hypoxia. Furthermore our experiments indicate that there is no cross talk between HIF-1 and NF-κB pathways in HT-29 cells, but these two pathways act simultaneously activating common genes, such as, some SLC and ABC transporters. Our preliminary results from studies with an in vivo murine model of colitis, suggest that HIF-1is stabilized and OCTN1 is strongly induced during severe inflammation, which can be relevant for a recovery from the inflammatory process. We have also been interested in the distribution of HIF-1α variants among different ethnic groups as well as their contribution for cancer risk. Thus, we have demonstrated that there is an ethnicity-related variation in the frequency of the C1772T (P582S) single nucleotide polymorphism (SNP) in the HIF-1α gene. Furthermore, we performed a case-control study in a breast cancer population and our results suggest that there is no association between this SNP or the rare G1790A (A588T) SNP and the incidence of breast cancer. Taken together, the results obtained in this study contribute to a better knowledge of drug influx and efflux during hypoxia and inflammation as well as to the understanding of the pharmacogenetic variability of the HIF-1.