Liquid desiccant air conditioning (LDAC) has received much attention in recent years. This is mainly because LDAC systems are able to control latent loads in a more energy efficient way than conventional air conditioning systems. Although many research studies have been conducted on LDAC technologies, the following gaps in the scientific literature are addressed in this thesis: (1) carryover of desiccant droplets in air streams, (2) direct comparisons between different configurations of LDAC systems, (3) fundamentals of capacity matching in heat-pump LDAC systems, (4) optimal-control strategies for heat-pump LDAC systems, and (5) importance of transients in evaluating the performance of a LDAC system. Items (1) to (4) are addressed using TRNSYS simulations, and item (5) is addressed using data collected from a field test. The use of liquid-to-air membrane energy exchangers (LAMEEs) as dehumidifiers and regenerators in LDAC systems eliminate the desiccant droplets carryover problem in air streams. This is because LAMEE separate the air and solution streams using semi-permeable membranes, which allow the transfer of heat and moisture but do not allow the transfer of the liquid desiccant. A preliminary configuration for a membrane LDAC system, which uses LAMEEs as the dehumidifier and regenerator, is proposed and investigated under fixed operating conditions in this thesis. The influences of key design and operating parameters on the heat and mass transfer performances of the membrane LDAC system are evaluated. Results show that the membrane LDAC technology is able to effectively remove latent loads in applications that the humidity to be controlled. A comprehensive evaluation is conducted in this thesis for the thermal, economic and environmental performances of several configurations of membrane LDAC systems. The solution cooling load is covered using a cooling heat pump in all systems studied, while the solution heating load is covered using one of the following five different heating systems: (1) a gas boiler, (2) a heating heat pump, (3) a solar thermal system with gas boiler backup, (4) a solar thermal system with heat pump backup, and (5) the condenser of the solution cooling heating pump. Each of the membrane LDAC systems studied is evaluated with/without an energy recovery ventilator (ERV) installed in the air handling system. The influence of operating the ERV under balanced/unbalanced operating conditions is studied. It is found that the most economic membrane LDAC system is the one which uses the evaporator and condenser of the same heat pump to cover the solution cooling and heating loads, respectively (i.e. heat-pump membrane LDAC system). No clear guidance was found in the literature for sizing the evaporator and condenser in a heat-pump LDAC system to simultaneously meet the solution cooling and heating loads. When the heating and cooling provided by the heat pump exactly match the heating and cooling requirements of the solution, the system is “capacity matched”. A parametric study is conducted on a heat-pump membrane LDAC system to identify the influence of key operating and design parameters on achieving capacity matching. It is concluded that the solution inlet temperatures to the dehumidifier and regenerator are the most influential parameters on the moisture removal rate, capacity matching and coefficient of performance (COP). Three control strategies are developed for heat-pump membrane LDAC systems, where these strategies meet the latent loads and achieve one of the following three objectives: (1) meet the sensible loads, (2) achieve capacity matching, or (3) optimize the COP. Results show that the COP of a heat-pump LDAC system can be doubled by selecting the right combination of solution inlet temperatures to the regenerator and dehumidifier. The importance of transients in evaluating the performance of a LDAC system is addressed in the thesis using a data collected from a field test on a solar LDAC system. It is found that the sensible, latent and total cooling energy, and the total primary energy consumption of the LDAC system are changed by less than 10% during an entire test day when transients are considered. Thus, it can be concluded that steady-state models are reliable to evaluate the energy performances of LDAC systems.

The building sector has become the largest consumer of end use energy in the world, exceeding both the industry and the transportation sectors. Extensive types of energy saving techniques have been developed in the past two decades to mitigate the impact of buildings on the environment. Instead of the conventional active building environmental control approaches that solely rely on the mechanical air conditioning systems, increasing attention is given to the passive and mixed-mode approaches in buildings. This thesis aims to explore the integration of passive cooling approaches and active air conditioning approaches with different dehumidification features, by making effective use of the information on: 1) various dynamic response properties of the building system and mechanical plants, 2) diverse variations of the building boundary conditions over the whole operation process, 3) coupling effect and synergistic influence of the key operational parameters, and 4) numerous parameter conflicts in the integrated active-passive operation. These issues make the proposed integration a complex multifaceted process operation problem. In order to deal with these challenges, a systematic approach is developed by integrating a number of advanced building/system physical models and implementing well established advanced dynamic optimization algorithms. Firstly, a reduced-order model development and calibration framework is presented to generate differential-algebraic equations (DAE) based physical building models, by coupling with the high-order building energy simulations (i.e., EnergyPlus) and implementing MLE+ co-simulation programs in the Matlab platform. The reduced-order building model can describe the dynamic building thermal behaviors and address substantial time delay effects intrinsic in the building heat transfer and moisture migration. A calibration procedure is developed to balance the modelling complexity and the simulation accuracy. By making use of the advanced modeling and simulation features of EnergyPlus, the developed computational platform is able to handle real buildings with various geometric configurations, and offers the potential to cooperate with the dominant commercial building modeling software existing in the current AEC industry. Secondly, the physical model for the active air conditioning systems is developed, which is the other critical part for the dynamic optimization. By introducing and integrating a number of sub-models developed for specific building components, the model is able to specify the dynamic hygrothermal behavior and energy performance of the system under various operating conditions. Two representative air conditioning systems are investigated as the study cases: variable air volume systems (VAV) with mechanical dehumidification, and the desiccant wheel system (DW) with chemical dehumidification. The control variables and constraints representing the system operational characteristics are specified for the dynamic optimization. Thirdly, the integrated active-passive operations are formulated as dynamic optimization problems based on the above building and system physical models. The simultaneous collocation method is used in the solution algorithm to discretize the state and control variables, translating the optimization formulation into a nonlinear program (NLP). After collocation, the translated NLP problems for the daily integrated VAV/DW operation for a case zone have 1605/2181 variables, 1485/2037 equality constraints and 280/248 inequality constraints, respectively. It is found that IPOPT is able to provide the optimal solution within minutes using an 8-core 64-bit desktop, which illustrates the efficiency of the problem formulation. The case study results indicate that the approach can effectively improve the energy performance of the integrated active-passive operations, while maintaining acceptable indoor thermal comfort. Compared to the conventional local control strategies, the optimized strategies lead to remarkable energy saving percentages in different climate conditions: 29.77~48.76% for VAV and 27.85~41.33% for DW. The energy saving is contributed by the improvement of both the passive strategies (around 33%) and active strategies (around 67%). It is found that the thermal comfort constraint defined in the optimization also affects the energy saving. The total optimal energy consumption drops by around 3% if the value of the predicted percentage dissatisfied (PPD) limit is increased by one unit between 5~15%. It is also found that the fitted periodic weather data can lead to similar operation strategies in the dynamic optimization as the realistic data, and therefore can be a reasonable alternative when the more detailed realistic weather data is not available. The method described in the thesis can be generalized to supervise the operation design of building systems with different configurations.

Les bâtiments représentent un des principaux leviers d'action pour optimiser l'efficacité énergétique et la réduction des émissions de CO2 dans les villes. Afin d'optimiser les performances énergétiques, différentes études ont été menées sur les performances thermiques aussi bien du de point de vue de la conception, de la calibration de modèle que de l'impact de changement climatique. L'analyse de sensibilité vise à évaluer la part d'incertitude due à chacune des variables ou des paramètres qui peuvent influencer ces performances.La plupart des études en bâtiment menées dans la littérature se placent dans un cadre statique qui ne représente pas l'évolution du système. Il est très vite apparu nécessaire de développer des méthodes qui prennent en compte à la fois la dépendance des entrées et la dimension temporelle qui elle-même comporte toujours de la dépendance. Parmi les différentes méthodes d'analyse de sensibilité, nous avons privilégié la méthode globale, reposant sur le calcul des indices de sensibilité de Sobol. Le calcul effectif des indices de sensibilité permet de hiérarchiser les paramètres d'entrée en fonction de leur influence sur la sortieLes indices de Sobol peuvent se calculer de différentes façons. Nous nous sommes intéressés notamment à la méthode Pick and Freeze basée sur l'échantillonnage. Celle-ci repose sur l'hypothèse fondamentale et dans la pratique le plus souvent non vérifiée d'indépendance des entrées. Cela nous a amené du point de vue statistique à développer des techniques nouvelles pour tenir compte du caractère des entrées de type dynamique et dépendantes entre elles à la fois dans le temps et à chaque instant.Nous avons placé notre travail dans l'optique de méthodes permettant de se ramener au cas d'entrées indépendantes. Notre préoccupation a été de modéliser les entrées de manière souple, aisément transposable à d'autres situations concrètes et permettant des simulations relativement aisées. Afin de rendre compte du lien temporel entre les variables, nous avons choisi de considérer un indice dépendant de l'instant de calcul et de quantifier la variabilité de la sortie non pas seulement à la variabilité de l'entrée à l'instant t mais aussi à cette même variabilité provenant des instants précédents. Cette vision permet d'introduire la notion de mémoire utile pour le calcul de la sensibilité. Nous avons développé une méthode d'estimation des indices de Sobol pour des entrées dépendantes statiques a priori. Elle peut néanmoins être mise en œuvre pour des entrées dynamiques de courte mémoire mais les calculs sont alors très lourds dès que le nombre d'entrées est grand ou les mémoires importantes. Cette méthode permet de séparer des variables dépendantes de loi quelconque en des variables indépendantes de loi uniforme. Facile à mettre en œuvre ces méthodes d'estimation ne s'appuient pas sur des hypothèses d'indépendance des entrées, elles permettent alors un large éventail d'applications.Nous avons appliqué notre méthodologie à un bâtiment existant, apportant ainsi un outil utile à l'analyse du comportement thermique et donc à son optimisation. Nous avons pu montrer différentes situations en analysant l'ordre des variables suivant les sensibilités à partir de mesures. Deux critères ont été étudiés. Un critère de confort : l'étude de la température intérieure et un critère de performance : l'énergie de chauffage. / Buildings represent one of the main levers of action to optimize energy efficiency and reducing emissions of $ CO_2 $. To understand how perform energy consumption of a building, different studies have been conducted on the thermal performance both the point of view of design and model calibration as the climate change impact. Energy performance can be optimized according to these studies by evaluating the degree of uncertainty due to each of the variables or parameters that may influence performance. This stage is called sensitivity analysis.Most building studies in the literature are placed in a static framework that does not represent the evolution of the system. The variables whose sensitivity to be studied are either considered at a given time or the input-output models are not dynamic. It became necessary to develop methods that take into account both the dependence of the inputs and the temporal dimension which itself always involves dependence. Among the different methods of sensitivity analysis, we have focused on the global method, based on the calculation of Sobol sensitivity indices. Sobol index of a parameter (or group of parameters) is a statistical indicator of easy interpretation. It allows to measure the importance of this parameter (or group of parameters) on the variability of a scalar quantity of interest, depending on the model output. Sensitivity indices allow to rank input parameters according to their influence on the output.Sobol indices can be calculated in different ways. We focused on the Pick and Freeze method based on sampling. This is based on a fundamental assumption and in practice often unverified : inputs independence. This led us statistically to develop new techniques to take into account the dynamic characteristic of inputs and dependents both in time and in every moment. Our work focuses on methods that can bring back to the case of independent inputs. Our concern was modelled in a flexible way inputs, easily transferable to other concrete situations and allowing relatively easy simulations. The input-output relationships are not important as the only constraint, of course not trivial, possible simulation.In order to reproduce the temporal relationship between the variables, we chose to consider an index dependent, in the non-stationary case (especially if there are seasonal phenomena), on the time of calculation and quantify the variability of output not not only to the variability of the input at time $ t $, but also to the same variability from previous times. This vision allows to introduce the concept of usable memory for the calculation of the sensitivity.The second method that we have developed is an estimation method of Sobol indices for static dependent inputs a priori. It may nevertheless be implemented for dynamic inputs with short memory but the calculations are then very heavy when the number of inputs are large or own important memories. This method allows to separate dependent variables of any law in independent variables uniformly distributed.Easy to implement these estimation methods developed are not based on assumptions of independence of inputs. It then allows a wide range of applications.This method applied to an existing building can help improve energy management and can be useful in the design from the implementation scenarios. We could show different situations by analysing the variable order according to the sensitivities from measurements on a test building. Two criteria were studied. A criterion of comfort: the study of indoor temperature and performance criteria: the heating energy.

Este trabalho é um estudo da aplicação de um sistema que utiliza a cogeração para hotéis localizados na cidade de Porto Alegre, RS, Brasil. Foi analisada a implantação desse tipo de sistema, também chamado de CHP (Combined Heat and Power), de um ponto de vista econômico e energético. A questão econômica foi determinada pela viabilidade através de métodos de análise quantitativa, neste caso, dando enfoque ao tempo de retorno do investimento. Para a análise energética foi realizado o estudo dos consumos e demandas anuais da operação do prédio através da ferramenta de simulação térmo-energética de edificações. O software escolhido foi o EnergyPlus. Essas análises, energéticas e econômicas, foram realizadas através de uma comparação entre o hotel sem o sistema de CHP e o hotel com o sistema de CHP. O hotel hipotético simulado foi definido através de um levantamento de informações a respeito do desempenho energético de hotéis que funcionam em Porto Alegre. Além dos estudos energéticos e econômicos, foram realizadas variações em parâmetros do hotel para tentar abranger uma série de possíveis cenários e verificar suas viabilidades econômicas. Foi visto que a cogeração pode trazer redução de custo operacional mesmo não tendo um menor consumo energético anual. Em alguns cenários o tempo de retorno do investimento apresentou valor abaixo dos seis anos, sendo considerado como uma boa opção de investimento. / This work is a study of the application of a CHP (Combined Heat and Power) system in hotels built in the city of Porto Alegre, RS, Brazil. This system was analyzed from an economic and energetic point of view. The economic matter on its viability perspective was determined through quantitative methods, in this case, with the focus on the time frame for the investment's return. For the energetic analysis, a annual energy consumption and demand study was performed utilizing a whole-building energy model with computer simulation. The chosen software was EnergyPlus. The analyses, energetic and economic, were performed through a comparison between the hotel without the CHP system and with the CHP system. The hypothetic simulated hotel was determined by a data survey on the energetic performance of hotels build in Porto Alegre. In addition to the energetic and economic studies, some parametric variations to the hotel were made to include a series of possible scenarios and check their economic viability. It was observed that the CHP can provide some operational cost reductions even without presenting a lower annual energetic consumption. In some scenarios, the time to return the investment showed figures lower than six years, being considered a good investment option.

Este trabalho é um estudo da aplicação de um sistema que utiliza a cogeração para hotéis localizados na cidade de Porto Alegre, RS, Brasil. Foi analisada a implantação desse tipo de sistema, também chamado de CHP (Combined Heat and Power), de um ponto de vista econômico e energético. A questão econômica foi determinada pela viabilidade através de métodos de análise quantitativa, neste caso, dando enfoque ao tempo de retorno do investimento. Para a análise energética foi realizado o estudo dos consumos e demandas anuais da operação do prédio através da ferramenta de simulação térmo-energética de edificações. O software escolhido foi o EnergyPlus. Essas análises, energéticas e econômicas, foram realizadas através de uma comparação entre o hotel sem o sistema de CHP e o hotel com o sistema de CHP. O hotel hipotético simulado foi definido através de um levantamento de informações a respeito do desempenho energético de hotéis que funcionam em Porto Alegre. Além dos estudos energéticos e econômicos, foram realizadas variações em parâmetros do hotel para tentar abranger uma série de possíveis cenários e verificar suas viabilidades econômicas. Foi visto que a cogeração pode trazer redução de custo operacional mesmo não tendo um menor consumo energético anual. Em alguns cenários o tempo de retorno do investimento apresentou valor abaixo dos seis anos, sendo considerado como uma boa opção de investimento. / This work is a study of the application of a CHP (Combined Heat and Power) system in hotels built in the city of Porto Alegre, RS, Brazil. This system was analyzed from an economic and energetic point of view. The economic matter on its viability perspective was determined through quantitative methods, in this case, with the focus on the time frame for the investment's return. For the energetic analysis, a annual energy consumption and demand study was performed utilizing a whole-building energy model with computer simulation. The chosen software was EnergyPlus. The analyses, energetic and economic, were performed through a comparison between the hotel without the CHP system and with the CHP system. The hypothetic simulated hotel was determined by a data survey on the energetic performance of hotels build in Porto Alegre. In addition to the energetic and economic studies, some parametric variations to the hotel were made to include a series of possible scenarios and check their economic viability. It was observed that the CHP can provide some operational cost reductions even without presenting a lower annual energetic consumption. In some scenarios, the time to return the investment showed figures lower than six years, being considered a good investment option.

Master of Science / Architectural Engineering and Construction Science / Russell J. Murdock / The purpose of this study is to identify and explore relationships between the building industry, building energy usage, and how both the industry and the energy usage correspond to greenhouse gas (GHG) emissions in the United States. Building energy codes seek to reduce energy usage and, subsequently, GHG emissions. This study specifically seeks to determine the impact that most current U.S. building energy codes could have on national GHG emissions if widespread adoption and enforcement of those codes were a reality. The report initially presents necessary background information about GHG emissions is first discussed. This establishes the current state of global GHG emissions, the position of the U.S. within the global scale, and what portion of the contribution can be attributed to the building industry. The report also describes the current issues and benefits of building energy codes. An overview of building energy codes evaluation is included, with explanation of the energy analysis used to determine the effectiveness of new building energy codes. In order to determine how to improve the building energy code system, an analysis of ANSI/ASHRAE/IES Standard 90.1-2013 (equivalent to 2015 IECC, the most recent standard available) is conducted to reveal unrealized GHG emission reductions that are expected with adoption and compliance to the newest code. Standard 90.1-2013 is analyzed due to the national popularity of the code relative to other building energy codes. This analysis includes compilation of energy usage intensity, square footage, and current code adoption data throughout the United States. Results showed that the excess GHG emission savings from enhanced adoption and compliance was not significant on a national scale. However, in terms of GHG emissions currently saved by building energy codes, the extra savings becomes more significant, proving that increased adoption and compliance is a worthwhile pursuit. Recommendations are then made for how to increase adoption and compliance. This information will give policymakers improved understanding of the current state of the industry when crafting laws regarding GHG emissions and building energy codes. Furthermore, findings from this study could benefit specific states that are attempting to lower GHG emissions.

abstract: An acute and crucial societal problem is the energy consumed in existing commercial buildings. There are 1.5 million commercial buildings in the U.S. with only about 3% being built each year. Hence, existing buildings need to be properly operated and maintained for several decades. Application of integrated centralized control systems in buildings could lead to more than 50% energy savings. This research work demonstrates an innovative adaptive integrated lighting control approach which could achieve significant energy savings and increase indoor comfort in high performance office buildings. In the first phase of the study, a predictive algorithm was developed and validated through experiments in an actual test room. The objective was to regulate daylight on a specified work plane by controlling the blind slat angles. Furthermore, a sensor-based integrated adaptive lighting controller was designed in Simulink which included an innovative sensor optimization approach based on genetic algorithm to minimize the number of sensors and efficiently place them in the office. The controller was designed based on simple integral controllers. The objective of developed control algorithm was to improve the illuminance situation in the office through controlling the daylight and electrical lighting. To evaluate the performance of the system, the controller was applied on experimental office model in Lee et al.’s research study in 1998. The result of the developed control approach indicate a significantly improvement in lighting situation and 1-23% and 50-78% monthly electrical energy savings in the office model, compared to two static strategies when the blinds were left open and closed during the whole year respectively. / Dissertation/Thesis / Doctoral Dissertation Architecture 2015

abstract: First, in a large-scale structure, a 3-D CFD model was built to simulate flow and temperature distributions. The flow patterns and temperature distributions are characterized and validated through spot measurements. The detailed understanding of them then allows for optimization of the HVAC configuration because identification of the problematic flow patterns and temperature mis-distributions leads to some corrective measures. Second, an appropriate form of the viscous dissipation term in the integral form of the conservation equation was considered, and the effects of momentum terms on the computed drop size in pressure-atomized sprays were examined. The Sauter mean diameter (SMD) calculated in this manner agrees well with experimental data of the drop velocities and sizes. Using the suggested equation with the revised treatment of liquid momentum setup, injection parameters can be directly input to the system of equations. Thus, this approach is capable of incorporating the effects of injection parameters for further considerations of the drop and velocity distributions under a wide range of spray geometry and injection conditions. Lastly, groundwater level estimation was investigated using compressed sensing (CS). To satisfy a general property of CS, a random measurement matrix was used, the groundwater network was constructed, and finally the l-1 optimization was run. Through several validation tests, correct estimation of groundwater level by CS was shown. Using this setup, decreasing trends in groundwater level in the southwestern US was shown. The suggested method is effective in that the total measurements of registered wells can be reduced down by approximately 42 %, sparse data can be visualized and a possible approach for groundwater management during extreme weather changes, e.g. in California, was demonstrated. / Dissertation/Thesis / Doctoral Dissertation Mechanical Engineering 2015

Les bâtiments existants reposent sur un équilibre stable qui assure leur durabilité. Toute exécution de travaux de réhabilitation qui déplace cet équilibre peut être à l'origine de désordres. En ce sens, les travaux peuvent être qualifiés de pathogènes. Dans le cadre de rénovations énergétiques, la problématique de l'humidité dans les bâtiments existants nécessite donc une attention particulière. Il convient donc de fournir aux acteurs de la construction des modèles de simulation du comportement hygrothemique global des bâtiments et d'évaluer les risques de pathologies liées à l'humidité. L'élaboration de ces modèles passent par la résolution de problèmes non-linéaires, de grande échelles spatiales et temporelles, et parfois paramétrique. Ils sont donc complexes à résoudre et les méthodes de réduction de modèle permettent de répondre à cette problématique. Deux techniques de réduction de modèles ont été explorées: la Décomposition Orthogonale Propre (POD) et la Décomposition Générale Propre (PGD). Elles ont été appliquées sur des problèmes de diffusion non-linéaire, couplée chaleur et humidité, dans les matériaux poreux. Ces deux méthodes ont été évaluées et comparées sur les critères de réduction du coût numérique de résolution du problème et sur la précision de calcul de la solution. Sur la base de ces analyses, la PGD a été retenue pour la suite des travaux. Grâce à ses caractéristiques, la méthode PGD présente plusieurs avantages d'ordre structurel, recensés dans la littérature. Au chapitre 3, nous avons utilisé ces prérogatives pour répondre aux problématiques de complexité des modèles de simulation des bâtiments. Notre intérêt s'est concentré sur la réduction de la complexité numérique de problèmes multi-dimensionnels, sur la globalisation de problèmes locaux et sur la création de méta-modèle ou solution PGD paramétrique. Plusieurs cas académiques ont été considérés pour illustrer ces propos. Nous avons traité des problèmes de transferts non-linéaires dans les matériaux poreux et des problèmes de transferts multizone dans un bâtiment. Enfin, la dernière partie des travaux est axée sur la construction d'un modèle global articulant des modèles réduits PGD. Deux modèles sont construits. Le premier couple un modèle réduit enveloppe PGD avec un modèle complet multizone. Ces travaux ont été réalisés dans le cadre d'une collaboration avec le laboratoire LST de l'université PUCPR de Curitiba, Brésil. Ce partenariat a permis de bénéficier du modèle reconnu et validé Domus pour la simulation des transferts multizones. Les nombreuses possibilités du logiciel ont pu être exploitées. Deux cas d'études sont abordés. Le premier concerne la résolution d'un problème paramétrique pour l'étude de scénarios de réhabilitation en fonction de la perméabilité à la vapeur de l'isolant. Le second porte sur la modélisation globale d'un bâtiment bi-zone intégrant une simulation bi-dimensionnelle d'un pont thermique. Il est possible d'élaborer un modèle global présentant une plus grande réduction de la complexité du problème que celui réalisé avec Domus. Le deuxième modèle couple donc un modèle réduit PGD pour le problème enveloppe et une solution PGD paramétrique pour le problème multizone. Les performances de ce modèle ont été discutées en terme de précision de calcul de la solution et d'économie numérique de résolution du problème. La pertinence des méthodes de réduction de modèle pour la simulation du comportement des bâtiments a été montrée. En particulier, la méthode PGD permet d'apporter une nouvelle approche de résolution ces problèmes. / Excessive levels of moisture in buildings may damage the construction quality. Moisture also has an effect on indoor air quality and thermal comfort of the occupants. Thus moisture is a possible source of disorders in buildings. It is therefore important to continue developing numerical models to simulate the global hygrothermal behaviour of buildings. To achieve this aim, it is necessary to solve non-linear problems, with high space and time scales, with fine discretisation and sometimes parametric. This mathematical problems are complex to solve. Thus model reduction techniques and efficient ways of numerical simulation are worth investigations. Two techniques were assessed : the Proper Orthogonal Decomposition (POD) and the Proper Generalised Decomposition (PGD). They were first applied on non-liner coupled heat and mass transfers in porous materials. Both were compared and evaluated carrying about the reduction of the cost of resolution and the precision of the solution computed. Following this analysis, the PGD was selected for our next investigations. Due to it representation, the PGD method has several interesting features, already reviewed in literature.Thus, chapter 3 proposed to illustrate this advantages on different issues of modelling buildings hygrothermal behaviours. We focused on the reduction of the complexity of multi-dimensional problems, on the globalisation of local problems and on building PGD parametric solution or meta-model. Several academic case study were considered to illustrate these points. We analysed non-linear heat and mass transfers in porous materials and multizone air building transfers. In last part, we elaborated a PGD reduced order model to perform whole building energy simulation. Two different models were built. The first one associates a PGD model for envelope problem and a large original model for multizone problem. This work was done during a collaboration with the LST laboratory, at PUCPR University, Curitiba, Brazil. The main interest was the benefits of using their validated and admitted model Domus for solving multizone problem. Two case study were analysed. The first one analyse a parametric problem for the study of the retrofitting a building in function of the vapour permeability of the insulating material. The second one focused on the whole building energy simulation of a two-zone building with 2-dimension transfers in the wall assembly. A second global PGD reduced order model was elaborated, with a higher reduction of the numerical complexity of the problem. This model associates a PGD model for solving envelope problem and a PGD parametric solution for the multizone problem. The performance of this model was analysed investigating the numerical gain and the precision of the solution computed. In conclusion, the relevance of reduction model techniques for performing whole building energy simulation was revealed. The PGD method contributes to a new approach for solving this problems.

Este trabalho é um estudo da aplicação de um sistema que utiliza a cogeração para hotéis localizados na cidade de Porto Alegre, RS, Brasil. Foi analisada a implantação desse tipo de sistema, também chamado de CHP (Combined Heat and Power), de um ponto de vista econômico e energético. A questão econômica foi determinada pela viabilidade através de métodos de análise quantitativa, neste caso, dando enfoque ao tempo de retorno do investimento. Para a análise energética foi realizado o estudo dos consumos e demandas anuais da operação do prédio através da ferramenta de simulação térmo-energética de edificações. O software escolhido foi o EnergyPlus. Essas análises, energéticas e econômicas, foram realizadas através de uma comparação entre o hotel sem o sistema de CHP e o hotel com o sistema de CHP. O hotel hipotético simulado foi definido através de um levantamento de informações a respeito do desempenho energético de hotéis que funcionam em Porto Alegre. Além dos estudos energéticos e econômicos, foram realizadas variações em parâmetros do hotel para tentar abranger uma série de possíveis cenários e verificar suas viabilidades econômicas. Foi visto que a cogeração pode trazer redução de custo operacional mesmo não tendo um menor consumo energético anual. Em alguns cenários o tempo de retorno do investimento apresentou valor abaixo dos seis anos, sendo considerado como uma boa opção de investimento. / This work is a study of the application of a CHP (Combined Heat and Power) system in hotels built in the city of Porto Alegre, RS, Brazil. This system was analyzed from an economic and energetic point of view. The economic matter on its viability perspective was determined through quantitative methods, in this case, with the focus on the time frame for the investment's return. For the energetic analysis, a annual energy consumption and demand study was performed utilizing a whole-building energy model with computer simulation. The chosen software was EnergyPlus. The analyses, energetic and economic, were performed through a comparison between the hotel without the CHP system and with the CHP system. The hypothetic simulated hotel was determined by a data survey on the energetic performance of hotels build in Porto Alegre. In addition to the energetic and economic studies, some parametric variations to the hotel were made to include a series of possible scenarios and check their economic viability. It was observed that the CHP can provide some operational cost reductions even without presenting a lower annual energetic consumption. In some scenarios, the time to return the investment showed figures lower than six years, being considered a good investment option.