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La principale contribution de cette thèse est le développement d'une méthode fiable, robuste, et rapide pour la prédiction des pré-miARNs. Deux objectifs avaient été assignés : efficacité et flexibilité. L'efficacité a été rendue possible au moyen d'un algorithme quadratique. La flexibilité repose sur deux aspects, la nature des données expérimentales et la position taxonomique de l'organisme (en particulier plantes ou animaux). Mirinho accepte en entrée des séquences de génomes complets mais aussi les très nombreuses séquences résultant d'un séquençage massif de type NGS de “RNAseq”. “L'universalité” taxonomique est obtenu par la possibilité de modifier les contraintes sur les tailles de la tige (double hélice) et de la boule terminale. Dans le cas de la prédiction des miARN de plantes la plus grande longueur de leur pré-miARN conduit à des méthodes d'extraction de la structure secondaire en tige-boule moins précises. Mirinho prend en compte ce problème lui permettant de fournir des structures secondaires de pré-miARN plus semblables à celles de miRBase que les autres méthodes disponibles. Mirinho a été utilisé dans le cadre de deux questions biologiques précises l'une concernant des RNAseq l'autre de l'ADN génomique. La première question a conduit au traitement et l'analyse des données RNAseq de Acyrthosiphon pisum, le puceron du pois. L'objectif était d'identifier les miARN qui sont différentiellement exprimés au cours des quatre stades de développement de cette espèce et sont donc des candidats à la régulation des gènes au cours du développement. Pour cette analyse, nous avons développé un pipeline, appelé MirinhoPipe. La deuxieme question a permis d'aborder les problèmes liés à la prévision et l'analyse des ARN non-codants (ARNnc) dans la bactérie Mycoplasma hyopneumoniae. Alvinho a été développé pour la prédiction de cibles des miRNA autour d'une segmentation d'une séquence numérique et de la détection de la conservation des séquences entre ncRNA utilisant un graphe k-partite. Nous avons finalement abordé un problème lié à la recherche de motifs conservés dans un ensemble de séquences et pouvant ainsi correspondre à des éléments fonctionnels / The main contribution of this thesis is the development of a reliable, robust, and much faster method for the prediction of pre-miRNAs. With this method, we aimed mainly at two goals: efficiency and flexibility. Efficiency was made possible by means of a quadratic algorithm. Flexibility relies on two aspects, the input type and the organism clade. Mirinho can receive as input both a genome sequence and small RNA sequencing (sRNA-seq) data of both animal and plant species. To change from one clade to another, it suffices to change the lengths of the stem-arms and of the terminal loop. Concerning the prediction of plant miRNAs, because their pre-miRNAs are longer, the methods for extracting the hairpin secondary structure are not as accurate as for shorter sequences. With Mirinho, we also addressed this problem, which enabled to provide pre-miRNA secondary structures more similar to the ones in miRBase than the other available methods. Mirinho served as the basis to two other issues we addressed. The first issue led to the treatment and analysis of sRNA-seq data of Acyrthosiphon pisum, the pea aphid. The goal was to identify the miRNAs that are expressed during the four developmental stages of this species, allowing further biological conclusions concerning the regulatory system of such an organism. For this analysis, we developed a whole pipeline, called MirinhoPipe, at the end of which Mirinho was aggregated. We then moved on to the second issue, that involved problems related to the prediction and analysis of non-coding RNAs (ncRNAs) in the bacterium Mycoplasma hyopneumoniae. A method, called Alvinho, was thus developed for the prediction of targets in this bacterium, together with a pipeline for the segmentation of a numerical sequence and detection of conservation among ncRNA sequences using a kpartite graph. We finally addressed a problem related to motifs, that is to patterns, that may be composed of one or more parts, that appear conserved in a set of sequences and may correspond to functional elements.

La population mondiale fait face, globalement, à une urbanisation expansive. Cet étalement urbain, souvent mal contrôlé, menace aussi bien l’environnement que la santé, la qualité de vie et la sécurité alimentaire des humains. Il est possible de le limiter en lui préférant la densification urbaine. Néanmoins, la complexité des phénomènes en jeu dans un tel contexte nous incite à penser que les responsables d’opérations de densification urbaine ont besoin d’outils pour les aider à faire les choix les plus pertinents possibles. Dans un premier temps, l’état de l’art présenté dans cette thèse montre que l’outil idéal n’existe pas, et que l’optimisation multicritère par algorithme génétique est une technique adaptée à l’aide à la conception de bâtiments. Les caractéristiques souhaitables pour une méthode d’assistance des concepteurs de projets de densification urbaine sont alors précisées. Nous recommandons de baser cette méthode sur le couplage entre un algorithme génétique et un outil capable de réaliser des simulations thermiques dynamiques (STD) de quartiers. Les capacités des logiciels de STD Pleiades+COMFIE (P+C) et EnergyPlus (E+) sont situées par rapport à ces exigences, puis un premier test d’optimisation d’un projet de densification urbaine en associant EnergyPlus à un algorithme génétique est présenté. Certaines lacunes de cette méthode peuvent être comblées par la plateforme en cours de développement dans le projet ANR MERUBBI. Dans un second temps, nous analysons donc les résultats d’une étude comparative entre P+C, E+ et l’outil MERUBBI, menée sur un projet de densification d’un îlot à forte densité urbaine. Ils montrent que ce dernier est fiable et particulièrement pertinent pour l’évaluation précise des interactions entre bâtiments. Dans un troisième temps, nous abordons la problématique de la diminution des temps de calcul, enjeu crucial pour que notre méthode d’aide à la conception soit réellement accessible aux professionnels du bâtiment. Nous proposons une technique de réduction de la période de simulation que nous présentons en détail. Enfin, la méthode d’optimisation développée est appliquée à la résolution de différents problèmes de conception du projet sus-cité, en utilisant E+. Nous montrons en quoi l’utilisation de l’outil MERUBBI enrichira cette approche, avant de conclure sur des perspectives de développement de notre méthode pour améliorer son interactivité. / The world’s population is facing an expansive urbanization. This urban sprawl, which is often not well managed, is endangering the environment as well as human health, quality of life and food security. It can be controlled by favouring urban densification. Nonetheless, the complexity of the phenomena involved in such a context leads us to think that supervisors of urban densification operations need some tools to help them make the most relevant choices. This thesis begins with a literature review that shows the ideal tool does not exist, and explains why multi-objective optimization using a genetic algorithm is a suitable technique for building design aid. Then we clarify the desirable features of an assistance method for urban densification projects designers. We recommend to base this method on the coupling of a genetic algorithm with a district-scale dynamic thermal simulation (DTS) tool. We compare capabilities of EnergyPlus (E+) and Pleiades+COMFIE (P+C) DTS software with these requirements, then we present a first urban densification project optimization test associating EnergyPlus with a genetic algorithm. The platform under development in the ANR MERUBBI project can offset certain shortcomings of this method. Hence, in a second phase we analyze the results of a comparative study of P+C, E+ and the MERUBBI tool, carried out using a high-density district densification project as a test case. It shows that the latter is reliable and particularly relevant to precisely assess interactions between buildings. In a third phase we address the problematic of reducing the computing time, a major issue to make our design aid method truly accessible to building professionals. We propose a way of reducing the operating period length and present it in detail. Finally, our optimization method is used to solve various design problems of the above-mentioned project, using E+. We show how the use of the MERUBBI platform will enrich this approach before concluding with development ideas to make our method more user-friendly and interactive.

Several applications have been proposed for wireless sensor networks, including habitat monitoring, structural health monitoring, pipeline monitoring, and precision agriculture. Among the desirable features of wireless sensor networks, one is the ease of deployment. Since the nodes are capable of self-organization, they can be placed easily in areas that are otherwise inaccessible to or impractical for other types of sensing systems. In fact, some have proposed the deployment of wireless sensor networks by dropping nodes from a plane, delivering them in an artillery shell, or launching them via a catapult from onboard a ship. There are also reports of actual aerial deployments, for example the one carried out using an unmanned aerial vehicle (UAV) at a Marine Corps combat centre in California -- the nodes were able to establish a time-synchronized, multi-hop communication network for tracking vehicles that passed along a dirt road. While this has a practical relevance for some civil applications (such as rescue operations), a more realistic deployment involves the careful planning and placement of sensors. Even then, nodes may not be placed optimally to ensure that the network is fully connected and high-quality data pertaining to the phenomena being monitored can be extracted from the network. This work aims to address the problem of random deployment through two complementary approaches: The first approach aims to address the problem of random deployment from a communication perspective. It begins by establishing a comprehensive mathematical model to quantify the energy cost of various concerns of a fully operational wireless sensor network. Based on the analytic model, an energy-efficient topology control protocol is developed. The protocol sets eligibility metric to establish and maintain a multi-hop communication path and to ensure that all nodes exhaust their energy in a uniform manner. The second approach focuses on addressing the problem of imperfect sensing from a signal processing perspective. It investigates the impact of deployment errors (calibration, placement, and orientation errors) on the quality of the sensed data and attempts to identify robust and error-agnostic features. If random placement is unavoidable and dense deployment cannot be supported, robust and error-agnostic features enable one to recognize interesting events from erroneous or imperfect data.

Several applications have been proposed for wireless sensor networks, including habitat monitoring, structural health monitoring, pipeline monitoring, and precision agriculture. Among the desirable features of wireless sensor networks, one is the ease of deployment. Since the nodes are capable of self-organization, they can be placed easily in areas that are otherwise inaccessible to or impractical for other types of sensing systems. In fact, some have proposed the deployment of wireless sensor networks by dropping nodes from a plane, delivering them in an artillery shell, or launching them via a catapult from onboard a ship. There are also reports of actual aerial deployments, for example the one carried out using an unmanned aerial vehicle (UAV) at a Marine Corps combat centre in California -- the nodes were able to establish a time-synchronized, multi-hop communication network for tracking vehicles that passed along a dirt road. While this has a practical relevance for some civil applications (such as rescue operations), a more realistic deployment involves the careful planning and placement of sensors. Even then, nodes may not be placed optimally to ensure that the network is fully connected and high-quality data pertaining to the phenomena being monitored can be extracted from the network. This work aims to address the problem of random deployment through two complementary approaches: The first approach aims to address the problem of random deployment from a communication perspective. It begins by establishing a comprehensive mathematical model to quantify the energy cost of various concerns of a fully operational wireless sensor network. Based on the analytic model, an energy-efficient topology control protocol is developed. The protocol sets eligibility metric to establish and maintain a multi-hop communication path and to ensure that all nodes exhaust their energy in a uniform manner. The second approach focuses on addressing the problem of imperfect sensing from a signal processing perspective. It investigates the impact of deployment errors (calibration, placement, and orientation errors) on the quality of the sensed data and attempts to identify robust and error-agnostic features. If random placement is unavoidable and dense deployment cannot be supported, robust and error-agnostic features enable one to recognize interesting events from erroneous or imperfect data.

Tesis por compendio / [EN] Anaerobic MBRs (AnMBRs) can provide the desired step towards sustainable wastewater treatment, broadening the range of application of anaerobic biotechnology to low-strength wastewaters (e.g. urban ones) or extreme environmental conditions (e.g. low operating temperatures). This alternative technology gathers the advantages of anaerobic treatment processes (e.g. low energy demand stemming from no aeration and energy recovery through methane production) jointly with the benefits of membrane technology (e.g. high quality effluent, and reduced space requirements). It is important to highlight that AnMBR may offer the possibility of operation in energy neutral or even being a net energy producer due to biogas generation. Other aspects that must be taken into account in AnMBR are the quality and nutrient recovery potential of the effluent and the low amount of sludge generated, which are of vital importance when assessing the environmental impact of a wastewater treatment plant (WWTP). The main aim of this Ph.D. thesis is to assess the economic and environmental sustainability of AnMBR technology for urban wastewater treatment at ambient temperature. Specifically, this thesis focusses on the following aspects: (1) development of a detailed and comprehensive plant-wide energy model for assessing the energy demand of different wastewater treatment systems at both steady- and unsteady-state conditions; (2) proposal of a design methodology for AnMBR technology and identification of optimal AnMBR-based configurations by applying an overall life cycle cost (LCC) analysis; (3) life cycle assessment (LCA) of AnMBR-based technology at different temperatures; and (4) evaluation of the overall sustainability (economic and environmental) of AnMBR for urban wastewater treatment. In this research work, a plant-wide energy model coupled to the extended version of the plant-wide mathematical model BNRM2 is proposed. The proposed energy model was used for assessing the energy performance of different wastewater treatment processes. In order to propose a guidelines for designing AnMBR at full-scale and to identify optimal AnMBR-based configurations, the proposed energy model and LCC were used. LCA was used to assess the environmental performance of AnMBR-based technology at different temperatures. An overall sustainability (economic and environmental) assessment was conducted for: (a) assessing the implications of design and operating decisions by including sensitivity and uncertainty analysis and navigating trade-offs across environmental and economic criteria.; and (b) comparing AnMBR to aerobic-based technologies for urban wastewater treatment. This Ph.D. thesis is enclosed in a national research project funded by the Spanish Ministry of Science and Innovation entitled "Using membrane technology for the energetic recovery of wastewater organic matter and the minimisation of the sludge produced" (MICINN project CTM2008-06809-C02-01/02). To obtain representative results that could be extrapolated to full-scale plants, this research work was carried out in an AnMBR system featuring industrial-scale hollow-fibre membrane units that was operated using effluent from the pre-treatment of the Carraixet WWTP (Valencia, Spain). / [ES] El reactor anaerobio de membranas sumergidas (AnMBR) puede proporcionar el paso deseado hacia un tratamiento sostenible del agua residual, ampliando la aplicabilidad de la biotecnología anaerobia al tratamiento de aguas residuales de baja carga (ej. agua residual urbana) o a condiciones medioambientales extremas (ej. bajas temperaturas de operación). Esta tecnología combina las ventajas de los procesos de tratamiento anaerobio (baja demanda energética gracias a la ausencia de aireación y a la recuperación energética a través de la producción de metano) con los beneficios de la tecnología de membranas (ej. efluente de alta calidad y reducidas necesidades de espacio). Cabe destacar que la tecnología AnMBR permite la posibilidad del autoabastecimiento energético del sistema debido a la generación de biogás. Otros aspectos que se deben considerar en el sistema AnMBR son el potencial de recuperación de nutrientes, la calidad del efluente generado y la baja cantidad de fangos producidos, siendo todos ellos de vital importancia cuando se evalúa el impacto medioambiental de una planta de tratamiento de aguas residuales urbanas. El objetivo principal de esta tesis doctoral es evaluar la sostenibilidad económica y medioambiental de la tecnología AnMBR para el tratamiento de aguas residuales urbanas a temperatura ambiente. Concretamente, esta tesis se centra en las siguientes tareas: (1) desarrollo de un modelo de energía detallado y completo que permita evaluar la demanda energética global de diferentes sistemas de tratamiento de aguas residuales tanto en régimen estacionario como en transitorio; (2) propuesta de una metodología de diseño e identificación de configuraciones óptimas para la implementación de la tecnología AnMBR, aplicando para ello un análisis del coste de ciclo de vida (CCV); (3) análisis del ciclo de vida (ACV) de la tecnología AnMBR a diferentes temperaturas; y (4) evaluación global de la sostenibilidad (económica y medioambiental) de la tecnología AnMBR para el tratamiento de aguas residuales urbanas. En este trabajo de investigación se propone un modelo de energía acoplado a la versión extendida del modelo matemático BNRM2. El modelo de energía propuesto se usó para evaluar la eficiencia energía de diferentes procesos de tratamiento de aguas residuales urbanas. Con el fin de proponer unas directrices para el diseño de AnMBR a escala industrial e identificar las configuraciones óptimas para la implementación de dicha tecnología, se aplicaron tanto el modelo de energía propuesto como un análisis CCV. El ACV se usó para evaluar la viabilidad medioambiental de la tecnología AnMBR a diferentes temperaturas. En este trabajo se llevó a cabo una evaluación global de la sostenibilidad (económica y medioambiental) de la tecnología AnMBR para: (a) evaluar las implicaciones que conllevan ciertas decisiones durante el diseño y operación de dicha tecnología mediante un análisis de sensibilidad e incertidumbre, y examinar las contrapartidas en función de criterios económicos y medioambientales; y (b) comparar la tecnología AnMBR con tecnologías basadas en procesos aerobios para el tratamiento de aguas residuales urbanas. Esta tesis doctoral está integrada en un proyecto nacional de investigación, subvencionado por el Ministerio de Ciencia e Innovación (MICINN), con título "Modelación de la aplicación de la tecnología de membranas para la valorización energética de la materia orgánica del agua residual y la minimización de los fangos producidos" (MICINN, proyecto CTM2008-06809-C02-01/02). Para obtener resultados representativos que puedan ser extrapolados a plantas reales, esta tesis doctoral se ha llevado a cabo utilizando un sistema AnMBR que incorpora módulos comerciales de membrana de fibra hueca. Además, esta planta es alimentada con el efluente del pre-tratamiento de la EDAR del Barranco del Carraixet (Valencia, España). / [CA] El reactor anaerobi de membranes submergides (AnMBR) pot proporcionar el pas desitjat cap a un tractament d'aigües residuals sostenible, i suposa una extensió en l'aplicabilitat de la biotecnologia anaeròbia al tractament d'aigües residuals amb baixa càrrega (p.e. aigua residual urbana) o a condicions mediambientals extremes (p.e. baixes temperatures d'operació). Aquesta tecnologia alternativa reuneix els avantatges dels processos de tractament anaerobi (baixa demanda d'energia per l'estalvi de l'aireig i possibilitat de recuperació energètica per la producció de metà), conjuntament amb els beneficis de l'ús de de la tecnologia de membranes (p.e efluent d'alta qualitat, i reduïdes necessitats d'espai). Cal destacar que la tecnologia AnMBR permet la possibilitat de l'autoabastiment energètic del sistema degut a la generació de biogàs. Altres aspectes que s'han de considerar en el sistema AnMBR són el potencial de recuperació de nutrients, la qualitat de l'efluent i la baixa quantitat de fang generat, tots ells de vital importància quan s'avalua l'impacte mediambiental d'una planta de tractament d'aigües residuals urbanes. L'objectiu principal d'aquesta tesi doctoral és avaluar la sostenibilitat econòmica i mediambiental de la tecnologia AnMBR per al tractament d'aigües residuals urbanes a temperatura ambient. Concretament, aquesta tesi se centra en les tasques següents: (1) desenrotllament d'un detallat i complet model d'energia per al conjunt de la planta a fi d'avaluar la demanda d'energia de diferents sistemes de tractament d'aigües residuals tant en règim estacionari com en transitori; (2) proposta d'una metodologia de disseny i identificació de les configuracions òptimes de la tecnologia AnMBR mitjançant l'aplicació una anàlisi del cost de tot el cicle de vida (CCV) ; (3) anàlisi del cicle de vida (ACV) de la tecnologia AnMBR a diferents temperatures; i (4) avaluació global de la sostenibilitat (econòmica i mediambiental) de la tecnologia AnMBR per al tractament d'aigües residuals urbanes. En aquest treball d'investigació es proposa un model d'energia a nivell de tota la planta acoblat a la versió estesa del model matemàtic BNRM2. El model d'energia proposat s'ha utilitzat per a avaluar l'eficiència energètica de diferents processos de tractament d'aigües residuals urbanes. A fi de proposar unes directrius per al disseny d'AnMBR a escala industrial i identificar les configuracions òptimes de la tecnologia AnMBR, s'ha aplicat tant el model d'energia proposat, com el cost del cicle de vida (CCV). L'anàlisi del cicle de vida (ACV) s'ha utilitzat per a avaluar el rendiment mediambiental de la tecnologia AnMBR a diferents temperatures. En aquest treball s'ha dut a terme una avaluació global de la sostenibilitat (econòmica i mediambiental) de la tecnologia AnMBR per a: (a) avaluar les implicacions de les decisions de disseny i operació per mitjà d'una anàlisi de sensibilitat i incertesa i examinar les contrapartides en funció de criteris econòmics i mediambientals; i (b) comparar la tecnologia AnMBR amb tecnologies basades en processos aerobis per al tractament d'aigües residuals urbanes. Aquesta tesi doctoral està integrada en un projecte nacional d'investigació, subvencionat pel Ministerio de Ciencia e Innovación (MICINN), amb títol "Modelación de la aplicación de la tecnología de membranas para la valorización energética de la materia orgánica del agua residual y la minimización de los fangos producidos" (MICINN, projecte CTM2008-06809-C02-01/02). Per a obtenir resultats representatius que puguen ser extrapolats a plantes reals, aquesta tesi doctoral s'ha dut a terme utilitzant un sistema AnMBR que incorpora mòduls comercials de membrana de fibra buida. A més, aquesta planta és alimentada amb l'efluent del pretractament de l'EDAR del Barranc del Carraixet (València, Espanya). / Pretel Jolis, R. (2015). Environmental and economic sustainability of submerged anaerobic membrane bioreactors treating urban wastewater [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/58864 / Premios Extraordinarios de tesis doctorales / Compendio

In dieser Arbeit wird die Entwicklung eines Gebäudeenergiemodells (BEM) und eines Schemas für die mittlere Strahlungstemperatur ($T_mrt$) vorgestellt, das in das Doppel-Canyon basierte städtische Bestandsschichtsschema (DCEP) integriert ist. Das erweiterte DCEP-BEM Modell zielt darauf ab, eine Verbindung zwischen anthropogener Wärme und dem Stadtklima herzustellen, indem Gebäude in Straßenschluchten einbezogen werden, um die Energieflüsse auf städtischen Oberflächen, die Auswirkungen der anthropogenen Wärme auf die Atmosphäre, die Innenraumlufttemperatur und die Abwärme von Klimaanlagen zu untersuchen. Das DCEP-BEM wird mit dem mesoskaligen Klimamodell COSMO-CLM (COnsortium for Small-scale MOdelling in CLimate Mode, im Folgenden CCLM) gekoppelt und zur Simulation des Winters und Sommers 2018 in Berlin. Die Auswertung der Wintersimulationen zeigt, dass CCLM/DCEP-BEM den mittleren Tagesverlauf der gemessenen turbulenten Wärmeströme gut reproduziert und die simulierte 2-m-Lufttemperatur und den städtischen Wärmeinseleffekt (UHI) verbessert. Im Sommer bildet das CCLM/DCEP-BEM die Innenraumlufttemperatur richtig ab und verbessert die Ergebnisse für die 2-m-Lufttemperatur und die UHI leicht. Außerdem wird das CCLM/DCEP-BEM angewendet, um die Abwärmeemissionen von Klimaanlagen im Sommer zu untersuchen. Die Abwärmeemissionen der Klimaanlagen erhöhen die Lufttemperatur in Oberflächennähe erheblich. Der Anstieg ist in der Nacht und in hochurbanisierten Gebieten stärker ausgeprägt. Es werden zwei Standorte für die AC-Außengeräte betrachtet: entweder an der Wand eines Gebäudes (VerAC) oder auf dem Dach eines Gebäudes (HorAC). Die Auswirkung von HorAC ist im Vergleich zu VerAC insgesamt geringer, was darauf hindeutet, dass HorAC einen kleineren Einfluss auf die oberflächennahe Lufttemperatur und den UHI hat. Ein Schema für $T_mrt$ wird für das CCLM/DCEP-BEM entwickelt und umfassend validiert. Es wird gezeigt, dass dieses Schema eine zuverlässige Darstellung von $T_mrt$ bietet. / This work presents the development of a building energy model (BEM) and a mean radiant temperature ($T_mrt$) scheme integrated in the urban canopy scheme Double Canyon Effect Parametrization (DCEP). The extended DCEP-BEM model aims to establish a link between anthropogenic heat emissions and urban climate by including the interior of buildings in urban street canyons to investigate the energy fluxes on urban surfaces, the effects of anthropogenic heat on the atmosphere, the evolution of indoor air temperature, and waste heat from air conditioning (AC) systems. DCEP-BEM is coupled with the mesoscale climate model COSMO-CLM (COnsortium for Small-scale MOdelling in CLimate Mode, hereafter CCLM) and applied to simulate the winter and summer 2018 of Berlin. The evaluation for winter simulations indicates that CCLM/DCEP-BEM reproduces well the average diurnal characteristics of the measured turbulent heat fluxes and considerably improves the simulated 2-m air temperature and urban heat island (UHI). In summer, CCLM/DCEP-BEM accurately reproduces the indoor air temperature, and slightly improves the performance of the 2-m air temperature and the UHI effect. Furthermore, CCLM/DCEP-BEM is applied to explore the waste heat emissions from AC systems in summer. AC waste heat emissions considerably increase the near-surface sensible heat flux and air temperature. The increase is more pronounced during the night and in highly urbanised areas. Two locations for the AC outdoor units are considered: either on the wall of a building (VerAC) or on the rooftop of a building (HorAC). The effect of HorAC is overall smaller compared to VerAC, indicating that HorAC has a smaller impact on the near-surface air temperature and the UHI effect. A $T_mrt$ scheme is developed for CCLM/DCEP-BEM and extensively evaluated. It is shown that this scheme provides a reliable representation of $T_mrt$.

The goal of this dissertation is to demonstrate that data from a remotely located building can be utilized for energy modeling of a similar type of building and to demonstrate how to use this remote data without physically moving the data from one server to another using Virtual Information Fabric Infrastructure (VIFI). In order to achieve this goal, firstly an EnergyPlus model was created for Greek Life Center, a campus building located at University of North Texas campus at Denton in Texas, USA. Three thermal comfort models of Fanger model, Pierce two-node model and KSU two-node model were compared in order to find which one of these three models is most accurate to predict occupant thermal comfort. This study shows that Fanger's model is most accurate in predicting thermal comfort. Secondly, an experimental data pertaining to lighting usage and occupancy in a single-occupancy office from Carnegie Mellon University (CMU) has been implemented in order to perform energy analysis of Greek Life Center assuming that occupants in this building's offices behave similarly as occupants in CMU. Thirdly, different data types, data formats and data sources were identified which are required in order to develop a city-scale urban building energy model (CS-UBEM). Two workflows were created, one for an individual scale building energy model and another one for CS-UBEM. A new innovative infrastructure called as Virtual Information Fabric Infrastructure (VIFI) has been introduced in this dissertation. The workflows proposed in this study will demonstrate in the future work that by using VIFI infrastructure to develop building energy models there is a potential of using data for remote servers without actually moving the data. It has been successfully demonstrated in this dissertation that data located at remote location can be used credibly to predict energy consumption of a newly built building. When the remote experimental data of both lighting and occupancy are implemented, 4.57% energy savings was achieved in the Greek Life Center energy model.