This diploma thesis is focused on return on investment associated with the construction of a residential building in Brno. First, the author finds all costs associated with the construction of a residential building. Subsequently, the residential building will be evaluated according, as a complex and as an individual flats. It will also be based on the prevailing prices of rents calculated yield value of the house. Then the comparative method provides the prevailing price of apartments in the area and find out how much revenue would amount to, if the house is sold off for flats. Finally the resulting values are compared among themselves and determine the best option to deal with new residential building in Brno.

Diploma thesis is dealing with a design of a new apartment building in Brno, in a new city quarter Trnitá. The proposal shows a different way of creating a city block, with emphasis on sustainability, variability and quality of housing.

No description available.

This thesis is about how you can use shapes, proportions and compositions that humans fundamentally enjoy on a biological and evolutionary level. To create architectural elements that aid in creating an urban environment that humans enjoy being in and to live in.   The thesis is based around research by design and focuses on designing a residential building that is located in the central part of Malmö, Sweden. Furthermore theories such as Jan Gehl's theories on city planning are used to ensure a good connection between the private and public parts of the city. Moreover, other theories such as Dennis Dutton's theory on evolutionary beauty and the theories found in the book Cognitive Architecture lay a foundation for the design choices made all through the building.   To create an urban environment that people enjoy being in and that promotes people to spend their time in. The architecture needs to be designed in a way that reflects and encourages this behavior. Humans are visual creatures and need visual stimuli from their environment. The architecture needs to contain details and variation within its design to create environments that are visually interesting for us people.

An electric power system is a complex network consisting of a large number of power generators and consumers interconnected by transmission and distribution lines. One remarkable thing about the electric grid is that there has to be a continuous balance between the amount of electricity generated and consumed at all times. Maintaining this balance is critical for the stable operation of the grid and this task is achieved in the long term, short term and real-time by operating a three-tier wholesale electricity market consisting of the capacity market, the energy market and the ancillary services market respectively. For a demand resource to participate in the energy and the capacity markets, it needs to be able to reduce the power consumption on-demand, whereas to participate in the ancillary services market, the power consumption of the demand resource needs to be varied continuously following the regulation signal sent by the grid operator. This act of changing the demand to help maintain energy balance is called demand response (DR). The dissertation presents novel algorithms and tools to enable residential buildings to participate as demand resources on such markets to provide DR. Residential sector consumes 37% of the total U.S. electricity consumption and a recent consumer survey showed that 88% of consumers are either eager or supportive of advanced technologies for energy efficiency, including demand response. This indicates that residential sector is a very good target for DR. Two broad solutions for residential DR are presented. The first is a set of efficient algorithms that intelligently controls the customers' heating, ventilating and air conditioning (HVAC) devices for providing DR services to the grid. The second solution is an extensible residential demand response simulation framework that can help evaluate and experiment with different residential demand response algorithms. One of the algorithms presented in this dissertation is to reduce the aggregated demand of a set of HVACs during a DR event while respecting the customers' comfort requirements. The algorithm is shown to be efficient, simple to implement and is proven to be optimal. The second algorithm helps provide the regulation DR while honoring customer comfort requirements. The algorithm is efficient, simple to implement and is shown to perform well in a range of real-world situations. A case study is presented estimating the monetary benefit that can be obtained by implementing the algorithm in a cluster of 100 typical homes and shows promising result. Finally, the dissertation presents the design of a python-based object-oriented residential DR simulation framework which is easy to extend as needed. The framework supports simulation of thermal dynamics of a residential building and supports house hold appliances such as HVAC, water heater, clothes washer/dryer and dish washer. A case study showing the application of the simulation framework for various DR implementation is presented, which shows that the simulation framework performs well and can be a useful tool for future research in residential DR. / PHD / The total power generation and consumption has to always match in the electric grid. When there is a mismatch because the generation is less than the load, the match can be restored either by increasing the generation or by decreasing the load. Often, during system stress conditions, it is cheaper to decrease certain loads than to increase generation, and this method of achieving power balance is called demand response (DR). Residential sector consumes 37% of the total U.S. electricity consumption and is largely unexplored for demand response purpose, so the focus of the dissertation is on providing solutions to enable residential houses to provide demand response services. This dissertation presents two broad solutions. The first is a set of efficient algorithms that intelligently controls the customers’ heating, ventilating and air conditioning (HVAC) devices for providing DR services to the grid while keeping their comfort in mind. The second solution is a simulation software that can help evaluate and experiment with different residential demand response algorithms. The first algorithm is for reducing the collective power consumption of an aggregation of residential HVAC, whereas the second algorithm is for making the collective power follow a signal sent by the grid operators. It is shown that the algorithms presented can intelligently control the HVAC devices such that DR services can be provided to the grid while ensuring that the temperatures of the houses remain within comfortable range. The algorithms can enable demand response service providers to tap into the residential demand response market and earn revenue, while the simulation software can be valuable for future research in this area. The simulation software is simple to use and is designed with extensibility in mind, so adding new features is easy. The software is shown to work well for studying residential building control for demand response purpose and can be a useful tool for future research in residential DR.

The aim of thesis is to evaluate criticisms directed to high-rise buildings which have firstly used for residential purposes with modernism in terms of their hindering social contact, and to explain in what kind of spaces the residents of high-rise building sustain their social and environmental contacts. This form was aimed to be used as the building type of high-rise, low density urban form in CIAM meeting for decreasing health problems created by industrialization on individuals. In contrast, Team 10 criticized high-rise residential buildings by propounding disposal of street and not gathering people by using green areas. They propounded the urban element which is low-rise spreading in horizontal as the form of increment of social connection. In this study, principally diversified existence of social and environmental communication space are advocated in every urban environment depending on distinctive spatial organizations. Matrix study was made depending on height, density and coverage as three inputs of residential types, and the idea defended was tried to be proven. Communication spaces in high-rise residential buildings were analyzed in urban design and architecture scales. For this purpose, urban design scaled study was analyzed in the frame of territoriality which is related to the main topic of the thesis as residential area, and public and private space continuity types came into prominence. Architecture spaces constituting social and environmental contiguity spaces in high-rise residences were discussed in the frame of contemporary buildings and utopias. The explanation of diversified connection spaces in high-rise residential blocks will be hold.

Made available in DSpace on 2014-10-09T12:44:19Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T13:57:02Z (GMT). No. of bitstreams: 1 06870.pdf: 3530366 bytes, checksum: 5bddd2a5ab0508e81a57fdbb2c5f73d1 (MD5) / Dissertacao (Mestrado) / IPEN/D / Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP

Made available in DSpace on 2014-10-09T12:44:19Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T13:57:02Z (GMT). No. of bitstreams: 1 06870.pdf: 3530366 bytes, checksum: 5bddd2a5ab0508e81a57fdbb2c5f73d1 (MD5) / Dissertacao (Mestrado) / IPEN/D / Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP

The successful energy design of buildings requires that special attention be paid to the conceptual stage. However, it is a difficult task to find the most promising design alternatives satisfying several conflicting criteria. This thesis presents a simple multi-criteria decisions analysis method that could assist designers in green building design. Variables in the model include those alternatives that are common options when a residential building is to be constructed. The individual components that are considered are the building envelope, heating, ventilation and air conditioning (HVAC) system, service water heating, power and lighting. The key actors, objectives and methodology of multi-criteria decisions analysis are presented and finally a case study for a residential building in Athens is performed. The criteria by which to evaluate each building component of the newly built construction were identified by the decision-makers. Subsequently, decision frameworks for the selection of roof, walls, windows, heating system, energy source for heating system, power source, lighting and service water heating system were built. The method is followed step-by-step to conclude on the optimal building components based on their score. Due to the equal scoring of the windows and an inapplicable combination of electric underfloor heating with air-to-water heat pump, the method is characterized by low accuracy. The fact that the building components have been treated individually sets the method as a basic one and indicates that a more complex one should be preferred when more trustworthy results are needed.

The theme of diploma thesis is processing of the design new multifunctional residential building in Prague. The house has four floors is partly basement. The building is operationally divided into three separate parts. Predominant part of the building is intended for housing, other parts of the establishment is a patisserie and last automatic garage The house is designed of the construction systém Porotherm. The pitched roof is double layer with a wood-steel structure.