Complying with the Paris agreements requires substantial efforts in the building sector, and especially within the existing building stock which is responsible for a considerable amount of emissions and energy consumption. This master thesis focuses on the residential district of Minneberg, located in the west of Stockholm in Bromma. The urban building energy modelling (UBEM) approach is used to model the situation of the current district. This method uses real-life data provided by the district, as well as information found in energy performance certificates and in public databases. Based on that, a virtual archetype building representing the whole district is modelled and calibrated. Suitable energy-efficient solutions that can contribute to reducing the energy consumption are identified and applied in two different scenarios. The first scenario consists in retrofitting the current building stock, while the second represents the case where the building has to be designed from scratch today to comply with Boverket’s requirements on nearly zero-energy buildings ("New Minneberg" scenario). The aggregation of the results shows that the current district is already quite energy-efficient, with the installation of solar panels seeming to be the only economically viable retrofitting option. As for the "New Minneberg" scenario, it is possible to comply with the requirements and achieve a C-class building by reducing the primary energy consumption, but that comes at the expense of a higher actual energy consumption. / Att följa Parisavtalen kräver stora ansträngningar inom byggsektorn, och särskilt inom det befintliga byggnadsbeståndet som står för en betydande mängd växthusgasutsläpp och energianvändning. Examensarbetet fokuserar på det svenska bostadsområdet av Minneberg, som ligger i västra Stockholm i Bromma. UBEM-metoden (urban building energy modelling) används för att modellera situationen i det nuvarande distriktet. Metoden använder verkliga data från fastighetsområdet, liksom information som finns i energideklarationer och offentliga databaser. Därefter modelleras och kalibreras en virtuell arketypsbyggnad som representerar hela distriktet. Lämpliga energieffektiva lösningar som kan bidra till att minska energiförbrukningen identifieras och tillämpas i två olika scenarier. Det första scenariot består i renovering av det nuvarande byggnadsbeståndet, medan det andra representerar fallet om byggnaden hade designats från grunden idag, för att uppfylla Boverkets krav på nollenergihus ("New Minneberg" scenario). Resultaten visar att det nuvarande distriktet redan är ganska energieffektivt, där installation av solpaneler verkar vara den enda ekonomiskt lönsamma åtgärden. Gällande "New Minneberg" scenariot är det möjligt att uppfylla kraven och uppnå en C-klass byggnad genom att minska primärenergitalet, men det resulterar i en högre verklig energiförbrukning.

<p dir="ltr">Building Information Modeling (BIM) supports engineering and performance analysis for buildings and civil infrastructure from the initial design stage. BIM offers engineers access to building and infrastructure objects, along with their associated data, which can be utilized across various platforms to develop analytical models. However, the interoperability between BIM and analytical models is still limited and challenging. One such limitation and challenge is in the interoperability between BIM and Building Energy Modeling (BEM). Despite the fact that interoperability of geometry and material information between BIM and BEM has been extensively investigated, the interoperability of heating, ventilation, and air conditioning (HVAC) information, which is a crucial part in BEM, was underinvestigated. Another limitation is that the shared objects frequently lose their identification across different models during the processes of their creation, design iterations, and model transformation. In addition, current building and civil infrastructure projects mainly rely on Portable Document Format (PDF) plans as the official deliverables and documents to be stored, communicated, and transferred among different stakeholders. The transition from 2D PDF plans to 3D BIM remains challenging because manually creating a BIM instance model from 2D drawings can be laborious, time-intensive, and susceptible to errors.</p><p dir="ltr">To address these gaps, this dissertational research introduces new Industry Foundation Classes (IFC)-based algorithmic methods that utilize the state-of-the-art Data-driven Reverse Engineering Algorithm Development (D-READ) method and the invariant signatures of architecture, engineering, and construction (AEC) objects to (1) develop algorithms that can extract the information from 2D PDF drawings and reconstruct the 3D semantically segmented and enriched BIM instance models, (2) develop object mapping algorithms for interfacing BIM and analytical models (e.g., BEM, structural analysis models, etc.) by automatically mapping building objects, and (3) iteratively develop the HVAC information transformation algorithm between BIM and BEM. Following the proposed methods, algorithms were developed to (1) semi-automate the creation of semantically segmented and enriched 3D IFC-based bridge BIM instance models using 2D PDF bridge plans, (2) map space objects between BIM instance models and BEM (OpenStudio model) based on their invariant signatures, and (3) transform HVAC objects from IFC-based BIM instance models to BEM with all the necessary information for energy simulation, using (1) PDF drawings for 12 bridges located in various parts of Indiana, (2) a 2-story duplex apartment building, and (3) a 2-story office building model and a 2-story residential building model, respectively.</p><p dir="ltr">The developed algorithms were tested on three cases: (1) the PDF information extraction algorithm was tested on six bridges, which achieved 97.7% precision and 94.4% recall. In addition, it decreased the time required to create bridge BIM instance models by 94.9% compared to the manual approach; (2) the object mapping algorithm was evaluated using a 4-story office building model containing 82 spaces. The results demonstrated that the algorithm attained 90% precision and 90% recall in mapping space objects. Additionally, a 4.88% improvement in the accuracy of energy simulation results was observed when compared to simulations without space mapping; (3) the HVAC transformation algorithm was tested on two models with distinct HVAC systems: a 4-story office building model featuring a boiler radiator system and a 2-story clinic building featuring a VAV system. The algorithm achieved transformation accuracies of 97.5% and 98.7%, respectively, compared to manually created evaluation models in OpenStudio. Additionally, the algorithm-generated models demonstrated satisfactory performance with regard to precision, with less than 9.6% error in total annual energy consumption compared to the evaluation models.</p><p dir="ltr">This dissertational research introduces a new IFC-based approach to fill the forementioned research gaps in BIM interoperability for buildings and civil infrastructures. It facilitates improved accessibility compared to a proprietary workflow and will contribute to filling informational gaps (1) between 3D BIM and 2D PDF drawings, and (2) between BIM and analytical models. It builds a solid foundation for achieving (1) automated BIM reconstruction using 2D plans, and (2) smooth, accurate, and fully-automated HVAC objects transformation between BIM and BEM, for complete BIM-BEM interoperability. The proposed approach can also be leveraged to further expand BIM interoperability support by providing a novel data-driven approach for building and civil infrastructure projects.</p>

This thesis addressed the need for improved analysis and interpretation of primary meter half-hourly energy consumption data. The current work offers a novel benchmarking technique that was tested for 6 types of municipal buildings. This approach is different from conventional annual benchmarking mainly because it uses electricity and gas data in half-hourly periods, together with outside temperature data. A survey to European local authorities’ metering and monitoring practices was conducted in order to assess municipal energy managers' current procedures and needs in terms of data analysis to assess building energy performance and to identify potential energy saving opportunities. The benchmarking approach was developed considering the energy managers’ needs, but also the state-of the art in terms of building energy monitoring techniques, particularly building energy signatures, and the analysis techniques used on electricity grid demand forecasting. The benchmarking approach is based on the use of a metric composed of several indicators that are related to the load demand shape profile and the building energy signature. The comparison of indicators for buildings of the same type using standard scores identifies uncommon load demand profile characteristics and/or gas dependency on outside temperature in specific buildings. The metric is able to support the identification of potential energy wastage, which is linked to the detection of opportunities to save energy. The benchmarking technique was tested in 81 municipal building owned by Leicester City Council. This methodology can be applied to any non-domestic building equipped with primary meters for registering half-hourly electricity and gas consumption. In theory, this approach can also be applied to residential buildings, and to other short time series data types, for example quarter-hourly or 10 minutes interval data. The main contribution of this thesis is to improve the objectivity of building primary meter half-hourly electricity and gas consumption data analysis and interpretation by using quantitative parameters, instead of subjective visualisation techniques. The interpretation of building consumption data in short time series periods can now be streamlined, automated and perhaps incorporated in existing energy analysis software. This thesis raises questions that can lead to future research projects aiming to improve the metric and also to enlarge the scope of its application to national and European scale, to other building types and to other utilities.

À mesure que les performances intrinsèques des bâtiments s’améliorent, les usages énergétiques non réglementés, que nous associons à une notion d’intensité énergétique des usages, prennent de plus en plus d’importance dans le bilan des consommations des bâtiments. De plus, les bâtiments performants font apparaître des problématiques au niveau de l’exploitation des installations. Ces constats nous permettent d’affirmer qu’il est aujourd’hui important de proposer un cadre pour le suivi et l’optimisation de la sobriété énergétique des usages et l’exploitation performante pour la maîtrise des consommations énergétiques réelles des bâtiments. Cette thèse propose tout d’abord de développer des modèles polynomiaux de prédiction de la consommation énergétique tous usages en fonction des facteurs caractérisant l’intensité d’usage, la qualité d’usage et la qualité d’exploitation. Pour cela, nous utilisons le logiciel EnergyPlus afin de réaliser des simulations énergétiques dynamiques (SED) sur des valeurs de paramètres définis par la méthode des plans d’expérience D-optimaux. Le modèle polynomial créé permet alors d’effectuer, avec un faible temps de calcul, une propagation des incertitudes sur les consommations d’énergie calculées. Pour ce faire, nous utilisons les données mesurées en exploitation dans le cadre de la mesure et de la vérification de la performance énergétique, associées à une incertitude concernant leur valeur. Nous pouvons alors déterminer l’incertitude globale sur les consommations énergétiques et identifier les pistes pour la réduire, permettant ainsi un meilleur suivi et encadrement de la consommation énergétique réelle. / Since building envelope and MEP systems characteristics regularly improve, the weight of non-regulatory energy end-uses increases. These energy end-uses are typically associated with tenants or owners’ activities. In addition, high performance buildings show new issues related to HVAC systems operations. Therefore, it is important to evaluate and improve non-regulatory energy end-uses energy as well as HVAC systems operations efficiencies. We have developed polynomial energy models that can predict energy consumption as a function of building’s activities characteristics and HVAC systems operations factors. We used EnergyPlus software in order to build reliable energy models along with the D-optimum design of experiments method (DOE). Then, we used measurement and verification (M&V) data, associated with probability functions, to determine the associated uncertainty of the calculated energy consumption. Finally, we combine the latter with the polynomial modeling error to calculate the energy consumption global uncertainty, with the goal to identify strategies to reduce it.

Les bâtiments commerciaux et industriels présentent une part non négligeable de la demande énergétique. L’objectif de ce travail de thèse est d’étudier par des simulations numériques, le comportement thermoaéraulique des bâtiments de grand volume à usage commercial ou industriel et d’améliorer leurs performances afin de réduire leurs consommations énergétiques tout en assurant le confort thermique des occupants. La première partie de l’étude consiste à définir et à évaluer les paramètres d’enveloppe et de ventilation qui affectent la consommation d’énergie et le confort thermique de ce type de bâtiment. À travers des modèles développés (multizone et zonal) sur un bâtiment « générique », nous présentons l’impact des paramètres les plus importants (orientation du bâtiment, isolation thermique de l’enveloppe, propriétés radiatives de la toiture, sol, inertie thermique interne, diffusion de l’air…) sur la consommation énergétique et le confort. Ces paramètres sont déterminants surtout dans la conception de la toiture et du plancher de par leur influence sur les performances énergétiques du bâtiment étudié. Cette modélisation thermoaéraulique est ensuite appliquée à un bureau-entrepôt commercial existant. L’exploitation du modèle, dont les résultats sont confrontés aux mesures, et des études paramétriques permettent de démontrer l’efficacité de stratégies de ventilation naturelle nocturne. Dans la deuxième partie, nous évaluons certaines solutions de rafraîchissement passif (isolation thermique, ventilation naturelle nocturne, revêtement de toiture « cool roof ») permettant de maintenir le confort thermique en hiver aussi bien qu’en été tout en minimisant la consommation énergétique. Enfin, une étude d’optimisation nous permet de déterminer les paramètres optimums en fonction des conditions climatiques et des deux objectifs de confort et de performance énergétique. Ce travail ouvre de nombreuses perspectives sur la méthodologie de conception des enveloppes et l’adaptation du fonctionnement des installations de ventilation pour le rafraîchissement passif des bâtiments. / Commercial and industrial buildings represent a significant part of total energy demand. The objective of this thesis is to study the thermal behavior and airflows of commercial or industrial buildings (low-rise and large volume) by numerical simulations, to improve their thermal performance in order to reduce their energy consumption while maintaining thermal comfort of the occupants. The first part of this study consists in identifying and evaluating the keys factors that affect the energy demand and thermal comfort of these buildings. Using the developed models (multizone and zonal), we present the impact of the most important parameters (building orientation, thermal insulation, radiative properties of the roof, soil, internal thermal inertia, air diffusion…) on energy consumption and thermal comfort. We have identified here that the main influencing parameters can be found in the design of the roof and the ground floor considering the energy performance of the studied building. The developed model is then applied to a real commercial building. Results showed that the predictions are in good agreement with the measurements and that night-time natural ventilation can be an efficient passive cooling technique to avoid overheating in summer. In the second part, we evaluate the efficiency of different passive cooling techniques (thermal insulation, night-time natural ventilation, cool roof…) applied to ensure the thermal comfort in winter as well as in summer while minimizing the energy consumption. Finally, an optimization study is proposed to determine the optimal set of parameters for both objective functions considering the passive cooling techniques and the energy demand according to different climatic zones.

The diploma thesis on „Optimizing of shopping center energy demands“ deals with the reduce of the energy demand of the shopping center. The theoretical part describes the possibilities of reducing the energy intensity in terms of renewable resources, the potential of renewable resources. In practical part the energy audit of the existing building is designed, then the possibilities of reducing the energy intensity of the building, the budget and expressed return on investment by means of the net present value, the internal rate of return and simple payback period.

This thesis deals with the computational comparison of the energy performance of buildings of various construction materials. The work aims at assessing the building as a thermal system. The theoretical part describes the methods for calculating the energy performance of buildings. The experimental part of the work focuses on quantifying the heat consumption of specific buildings in terms of thermal stability and it is later compared with the results calculated in accordance with the applicable technical standards.

The thesis deals with the analysis of the properties of the external and internal environment of the buildings, the possibilities of heating and cooling. The emphasis is mainly on the energy intensity and the impact of weather conditions on the building temperature during the year. The model created by UPPAAL SMC describes the behavior of heating and cooling during the year and identifies the energy demand of the given building. The building model itself can be partially modified using the built-in user interface.

This thesis deals with the constructive-technological project of the object "Pool Hall" that is a part of newly built recreational complex. The project includes a technical report, time and financial plan, project construction site equipment, technological specification for monolithic construction, safety principles of construction and building envelope assessment in terms of heat transfer.

The diploma thesis deals with the solutions of the renovation of a panel apartment building with regard to energy efficiency. The theoretical part deals with heat pumps. The acquired knowledge was subsequently applied in the computational part, where the energy assessment of the current state of the apartment building and the design of two possible variants of renovation are addressed. The aim of the first variant is the renovation of the building to meet classification class C using the possible funds. The second variant is focused on the technical equipment of the building and primary energy from renewable sources, so that the apartment building reaches classification class A. Both proposed variants are assessed from both an energy and financial point of view. The project part then contains certificates of energy intensity of individual variants of the building.