Dissertations / Theses on the topic '120299 Building not elsewhere classified'

This thesis reports on design and performance studies of a prototype combined air source heat pump and storage system, retro fitted to heat occupied spaces subjected to high ventilation rates. The source of heat is from the air in the extract duct. Two limiting thermal conditions exist. The first is the thermal capacity of air passing over the ducted heat exchangers. The second is the dew and freezing points of the exhaust air, because of the insulating effect of ice on exchanger fins and tubes. Both are alleviated to a significant extent with high mass flow rates passing down the duct, since more heat can be extracted for a set decline in exhaust air temperatures. This study identifies reasons for ventilation and building strategies involving high ventilation rates, including the physiological and emotional needs of people and the various economic, climatic and Governmental polices (climate change levy, public health legislation) that impact upon heating and ventilation design. The study recognises the need for reduced carbon dioxide emissions and explores issues of indoor air quality and sick building syndrome and how increased ventilation rates can address them. The proposition investigated in this thesis is that air source recovery and heating by heat pump systems, combined with a heat storage system, can economically allow increases in ventilation rates to well above current standards without incurring great increases in energy use and carbon emissions; and in some circumstances reducing them. The thesis discusses in depth and detail, the advantages and disadvantages of possible alternative methods of heating a building and ventilation recovery, comparing their effectiveness and cost. A prototype system has been designed and field trials of a retrofit application have produced performance data that has subsequently been used in a long term cost comparison. The rig's design and construction are fully documented and its function over a full heating season is comprehensively explained (recording methods, types of calibration, control choices etc). A theoretical estimate of the energy requirements could have been attained using simulation and degree day information, however, a real like-for-like comparison using field trials prepared and a model was developed which allowed test data to be used to predict costs. The rig was tested over two heating seasons and compared with actual reading from alternative heating systems, degree day calculations are discussed but the reliance is on the actual live data gathered. (although summer cooling is achievable with the test rig no readings were recorded or comparison made). The work shows that heat pump heating and recovery systems and combined storage ability out-performed the other systems investigated. The crucial elements of its functionality are the high temperature of the heat source and the vast volume (and thermal capacity) of air being used, extracting at 24 °C and delivering at 35°C. The Coefficient of performance varies through the heating season but, synthesis of theory with test rig performance demonstrate that the longer term cost of the system is attractive; and its attraction shall probably grow with anticipated future trends in consumer demands for comfort and air quality coupled with fuel costs and a philanthropic social and political attitude to emissions control.

There is need for sustainable building practice in Nigeria as buildings generally show signs of poor design for ventilation, natural lighting, energy management, water management, waste management and other building services. These buildings under perform in relation to the purpose for which they have been built. Building users often complain that the buildings do not provide the required services such as functioning air-conditioning systems, effective water and energy management systems and waste management. Facilities management (FM) professionals in Nigeria have recognised the role that they can play in the practice of sustainable building as a way to proffering a solution to the above mentioned problems. Six objectives were set for the study: to identify the constituents of sustainable building with reference to literature and internationally recognised standards; to evaluate the role of FM in relation to the sustainable building at the design, the construction and operations stages of the building life-cycle; to develop a conceptual framework that shows the facilities manager’s role in sustainable buildings; to evaluate the perception of facilities managers in relation to their competence in achieving sustainable buildings; to investigate the drivers and barriers to the facilities manager’s role in achieving sustainable buildings; and finally to develop and validate a framework for sustainable building practice for FM in Nigeria. The methodology adopted for this research included a combination of extensive literature review, content analysis of relevant literature and documents, 20 interviews and a questionnaire survey of 139 members of IFMA Nigeria in order to identify sustainable building constituents and the facilities manager’s role in sustainable buildings. The findings of the research helped in developing a framework for the achievement of sustainable buildings through the facilities manager’s role at the design, construction and operations stages of the building’s life-cycle.

This dissertation argues for the value of the concept of systemic reflexivity in sense making, orientation and action in systemic practice, and in organisational practice in particular. The concept emerges as a theme through the development of two specific strands of published work from 1992 to 2013, that of Coordinated Management of Meaning Theory (CMM) and Appreciative Inquiry (AI). Both lines of inquiry highlight the moral dimension of practitioners’ conceptualisation and practice. Systemic reflexivity alerts us to the opportunities and constraints system participants make for the system in focus, facilitating exploration of a system’s coherence, through a detailed framework for systemic thinking which links patterns of communication to their narratives of influence and narrative consequences. It provides the conditions for enabling individual and collective responsibility for the ways that communication shapes our social worlds. The concept is illustrated in practice through a range of case studies within the published works.

With the availability of innumerable ‘intelligent’ building products and the dearth of inclusive evaluation tools, design teams are confronted with the quandary of choosing the apposite building control systems to suit the needs of a particular intelligent building project. The paucity of measures that represent the degree of system intelligence and indicate the desirable goal in intelligent building control systems design further inhibits the consumers from comparing numerous products from the viewpoint of intelligence. This thesis is organised respectively to develop models for facilitating the selection evaluation and the system intelligence analysis for the seven predominant building control systems in the intelligent building. To achieve these objectives, systematic research activities are conducted to first develop, test and refine the general conceptual models using consecutive surveys; then, to convert the developed conceptual frameworks to the practical models; and, finally, to evaluate the effectiveness of the practical models by means of expert validations.----- The findings of this study, on one hand, suggest that there are different sets of critical selection criteria (CSC) affecting the selection decision of the intelligent building control systems. Service life, and operating and maintenance costs are perceived as two common CSC. The survey results generally reflect that an ‘intelligent’ building control system does not necessarily need to be technologically advanced. Instead, it should be the one that can ensure efficiency and enhance user comfort and cost effectiveness. On the other hand, the findings of the research on system intelligence suggest that each building control system has a distinctive set of intelligence attributes and indicators. The research findings also indicate that operational benefits of the intelligent building exert a considerable degree of influence on the relative importance of intelligence indicators of the building control systems in the models. This research not only presents a systematic and structured approach to evaluate candidate building control systems against the CSC, but it also suggests a benchmark to measure the degree of intelligence of one control system candidate against another.

Cities are not merely inanimate objects. They are complex living environments, built over time by cultures and civilisations. This thesis argues that cities have a central place in human history and civilisation because they are imbued with meaning and meaningful activity. Thus, cities are inherently political spaces, and it may be reasonably expected that they will be important sites of social transformation in the postmodern era. In order to understand the relationship between urban space and political consciousness, this thesis traces several different interpretive paths within the marxist tradition. First, we examine the work of Henri Lefebvre, who argues for an understanding of urban space as socially produced. Next, the thesis looks at the contributions of Guy Debord, particularly at his understanding of the relation between time and the city. Both writers struggle to understand the urban in the context of the shift to what we now call postmodernity. Despite their many strengths, Debord and Lefebvre ultimately fail to theorise a social subject capable of resisting capitalist domination of the city. As a result, the thesis turns to a consideration of the work of Antonio Negri. Negri’s analysis of the fate of contemporary subjectivity has reinvigorated marxist critique with a return to the question of political change. His figure of the multitude takes leave of traditional marxism in challenging and productive ways, and helps us better understand the nature of subjectivity and resistance in a world of immaterial labour and virtuality. Nevertheless, this thesis argues that there is still work to be done before Negri’s work can be mapped out onto the contemporary metropolis.

Buildings are one of the fundamental sources of geospatial information for urban planning, population estimation, and infrastructure management. Although building extraction research has gained considerable progress through neural network methods, the labeling of training data still requires manual operations which are time-consuming and labor-intensive. Aiming to improve this process, this thesis developed an automated building extraction method based on the boundary following technique and the Mask Regional Convolutional Neural Network (Mask R-CNN) model. First, assisted by known building footprints, a boundary following method was used to automatically best label the training image datasets. In the next step, the Mask R-CNN model was trained with the labeling results and then applied to building extraction. Experiments with datasets of urban areas of Bloomington and Indianapolis with 2016 high resolution aerial images verified the effectiveness of the proposed approach. With the help of existing building footprints, the automatic labeling process took only five seconds for a 500*500 pixel image without human interaction. A 0.951 intersection over union (IoU) between the labeled mask and the ground truth was achieved due to the high quality of the automatic labeling step. In the training process, the Resnet50 network and the feature pyramid network (FPN) were adopted for feature extraction. The region proposal network (RPN) then was trained end-to-end to create region proposals. The performance of the proposed approach was evaluated in terms of building detection and mask segmentation in the two datasets. The building detection results of 40 test tiles respectively in Bloomington and Indianapolis showed that the Mask R-CNN model achieved 0.951 and 0.968 F1-scores. In addition, 84.2% of the newly built buildings in the Indianapolis dataset were successfully detected. According to the segmentation results on these two datasets, the Mask R-CNN model achieved the mean pixel accuracy (MPA) of 92% and 88%, respectively for Bloomington and Indianapolis. It was found that the performance of the mask segmentation and contour extraction became less satisfactory as the building shapes and roofs became more complex. It is expected that the method developed in this thesis can be adapted for large-scale use under varying urban setups.

A BIM-based tool for formwork management was developed using Dynamo Studio and Revit, based on practitioners preferences regarding LOD and rental option. The BIM tool is a toolset of Dynamo scripts able to create a BIM model for formwork enable with parameters that describes formwork features necessary for formwork management. The BIM model created with this toolset is able to compute quantities, cost analysis, generate a demand profile, and cerate a 4D & 5D simulation automatically.

Research on net-zero energy buildings (NZEBs) has been largely centered around improving building energy performance, while little attention has been given to indoor air quality. A critically important class of indoor air pollutants are nanoaerosols – airborne particulate matter smaller than 100 nm in size. Nanoaerosols penetrate deep into the human respiratory system and are associated with deleterious toxicological and human health outcomes. An important step towards improving indoor air quality in NZEBs is understanding how occupants, their activities, and building systems affect the emissions and fate of nanoaerosols. New developments in smart energy monitoring systems and smart thermostats offer a unique opportunity to track occupant activity patterns and the operational status of residential HVAC systems. In this study, we conducted a one-month field campaign in an occupied residential NZEB, the Purdue ReNEWW House, to explore how energy use profiles and smart thermostat data can be used to characterize indoor nanoaerosol dynamics. A Scanning Mobility Particle Sizer and Optical Particle Sizer were used to measure indoor aerosol concentrations and size distributions from 10 to 10,000 nm. AC current sensors were used to monitor electricity consumption of kitchen appliances (cooktop, oven, toaster, microwave, kitchen hood), the air handling unit (AHU), and the energy recovery ventilator (ERV). Two Ecobee smart thermostats informed the fractional amount of supply airflow directed to the basement and main floor. The nanoaerosol concentrations and energy use profiles were integrated with an aerosol physics-based material balance model to quantify nanoaerosol source and loss processes. Cooking activities were found to dominate the emissions of indoor nanoaerosols, often elevating indoor nanoaerosol concentrations beyond 10⁴ cm^-3. The emission rates for different cooking appliances varied from 10¹¹ h^-1 to 10¹⁴ h^-1. Loss rates were found to be significantly different between AHU/ERV off and on conditions, with median loss rates of 1.43 h^-1 to 3.68 h^-1, respectively. Probability density functions of the source and loss rates for different scenarios will be used in Monte Carlo simulations to predict indoor nanoaerosol concentrations in NZEBs using only energy consumption and smart thermostat data.

The purpose of this study was to investigate the impact of certification on women-owned construction companies in the United States. The primary objectives were to determine if certification has impacted accessibility to public (government) and private construction work as well as the financial performance of women-owned construction firms. The secondary research objectives were to determine what challenges these firms have encountered during the certification process and their perception of it.

3D point cloud processing has been a critical task due to the increasing demand of a variety of applications such as urban planning and management, as-built mapping of industrial sites, infrastructure monitoring, and road safety inspection. Point clouds are mainly acquired from two sources, laser scanning and optical imaging systems. However, the original point clouds usually do not provide explicit semantic information, and the collected data needs to undergo a sequence of processing steps to derive and extract the required information. Moreover, according to application requirements, the outcomes from the point cloud processing could be different. This dissertation presents two tiers of data processing. The first tier proposes an adaptive data processing framework to deal with multi-source and multi-platform point clouds. The second tier introduces two point clouds processing strategies targeting applications mainly from urban environments and transportation corridors.

Current air conditioning systems generally operate with a relatively fixed moisture removal capacity, and indoor humidity conditions are usually not actively controlled in most buildings. If we focus only on sensible heat removal, an air conditioning system could operate with a fairly high evaporating temperature, and consequently a high coefficient of performance (COP). However, to provide an acceptable level of dehumidification, air conditioners typically operate with a much lower evaporating temperature (and lower COP) to ensure that the air is cooled below its dew point to achieve dehumidification. The latent (moisture related) loads in a space typically only represent around 20-30% of the total load in many environments; however, the air conditioning system operates 100% of the time at a low COP to address this small fraction of the load. To address issues associated with inadequate dehumidification and high energy consumption of conventional air conditioning systems, the use of a separate sensible and latent cooling (SSLC) system can dramatically increase system COP and provide active humidity control. Most current SSLC approaches that are reported in the literature require the installation of multiple components or systems in addition to a conventional air conditioner to separately address the sensible and latent loads. This approach increases the overall system installation and maintenance costs and complicates the controller design.

A sequential SSLC system is proposed and described in this work takes full advantage of readily available variable speed technology and utilizes independent speed control of both the compressor and evaporator fan, so that a single direct expansion (DX) air-conditioning (A/C) system can be operated in such a way to separately address the sensible and latent loads in a highly efficient manner. In this work, a numerical model of DX A/C system is developed and validated through experiential testing to predict the performance under varied equipment speeds and then used to investigate the energy saving potential with the implementation of the proposed sequential SSLC system. To realize the sequential SSLC system approach, various corresponding control strategies are proposed and explained in this work that minimizes energy consumption while provides active control over both space temperature and relative humidity. At the end of this document, the benefits of applying the SSLC system in a prototype residential building under different typical climate characteristics are demonstrated.

Energy recovery ventilation (ERV) systems are designed to decrease the energy consumed by building HVAC systems. ERV’s scavenge sensible and latent energy from the exhaust air leaving a building or space and recycle this energy content to pre-condition the entering outdoor air. A few studies found in the open literature are dedicated to developing detailed numerical models to predict or simulate the performance of energy recovery wheels and desiccant wheels. However, the models are often computationally intensive, requiring a lot of time to perform parametric studies. For example, if the physical characteristics of a study target change (e.g., wheel diameter or depth) or if the system runs at different operating conditions (e.g., wheel rotation speed or airflow rate), the model parameters need to be recalculated. Hence, developing a mapping method with better computational efficiency, which will enable the opportunity to conduct extensive parametric or optimal design studies for different wheels is the goal of this research. In this work, finite difference method (FDM) numerical models of energy recovery wheels and desiccant wheels are established and validated with laboratory test results. The FDM models are then used to provide data for the development of performance mapping methods for an energy wheel or a desiccant wheel. After validating these new mapping approaches, they are employed using independent data sets from different laboratories and other sources available in the literature to identify their universality. One significant characteristic of the proposed mapping methods that makes the contribution unique is that once the models are trained, they can be used to predict performance for other wheels with different physical geometries or different operating conditions if the desiccant material is identical. The methods provide a computationally efficient performance prediction tool; therefore, they are ideal to integrate with transient building energy simulation software to conduct performance evaluations or optimizations of energy recovery/ desiccant wheel integrated HVAC systems.

Following a grounded theory research model, the research uncovered and presented the state of debris recycling to a national association of demolition contractors to measure their willingness and attitudes towards the growing trend in the circular economy and adapting their business models to incorporate it into their own contracts. The first part was finding the deficiencies in the current model based on government reports and through interviews with county-level emergency managers. Second, successful businesses that already use the circular economy design in their operations were used as exemplars to emulate and their opinions and suggestions were discussed. The outputs of the emergency managers and the successful businesses was folded into the third phase of the research with surveys to the membership of the National Demolition Association (NDA) with multiple-choice, scalar questions and open-ended, opinion-heavy questions throughout. The findings were reported back to the head of the partnering organization, the NDA, to focus outreach, training, and policy advocacy concentration for the national organization as a whole, but to related and tangentially-connected industries to their own.

The Theory of Applied Mind of Programming (TAMP) provides a new model for describing how programmers think and learn. Historically, many students have struggled when learning to program. Programming as a discipline lives in logic and reason, but theory and science tell us that people do not always think rationally. TAMP builds upon the groundbreaking work of dual process theory and classical educational theorists (Piaget, Vygotsky, and Bruner) to rethink our assumptions about cognition and learning. Theory guides educators and researchers to improve their practice, not just their work but also their thinking. TAMP provides new theoretical constructs for describing the mental activities of programming, the challenges in learning to program, as well as a guidebook for creating and recognizing the value of theory.

This dissertation is highly nontraditional. It does not include a typical empirical study using a familiar research methodology to guide data collection and analysis. Instead, it leverages existing data, as accumulated over a half-century of computing education research and a century of research into cognition and learning. Since an applicable methodology of theory-building did not exist, this work also defines a new methodology for theory building. The methodology of this dissertation borrows notation from philosophy and methods from grounded theory to define a transparent and rigorous approach to creating applied theories. By revisiting past studies through the lens of new theoretical propositions, theorists can conceive, refine, and internally validate new constructs and propositions to revolutionize how we view technical education.

The takeaway from this dissertation is a set of new theoretical constructs and promising research and pedagogical approaches. TAMP proposes an applied model of Jerome Bruner's mental representations that describe the knowledge and cognitive processes of an experienced programmer. TAMP highlights implicit learning and the role of intuition in decision making across many aspects of programming. This work includes numerous examples of how to apply TAMP and its supporting theories in re-imagining teaching and research to offer alternative explanations for previously puzzling findings on student learning. TAMP may challenge conventional beliefs about applied reasoning and the extent of traditional pedagogy, but it also offers insights on how to promote creative problem-solving in students.

We make decisions every day, some with the potential for a huge impact on our lives. This process of decision-making is crucial not only for individuals but for industries, including construction. Unlike the manufacturing industry, where one can make certain decisions regarding an actual product by looking at it in real time, the nature of construction is different. Here, decisions are to be made on a product which will be built somewhere in the near future. The complex and interim nature of construction projects, along with factors like time essence, increasing scale of projects and multitude of stakeholders, makes it even more difficult to reach consensus. Incorporating VR can aid in getting an insight on the final product at the very beginning of the project life cycle. With a visual representation, the stakeholders involved can collaborate on a single platform to assess the project, share common knowledge and make choices that would produce better results in all major aspects like cost, quality, time and safety. This study aims at assessing decision-making in the earlier stages of construction and then evaluating the performance of immersive and non-immersive VR platforms.

This research was a pilot study in a larger project that focused on how to retrieve knowledge from retiring long-term employees of a small university utility plant, incorporate that material into their existing training program, and during the process reduce the training time for current and future employees. Wade utility plant faced the retirement of eight employees with nearly 200 years of corporate knowledge within three years, but their current training program required seven to nine years to complete. The study utilized interviews, first-hand observation and partnership with current employees to explore how best to obtain the corporate knowledge that would be lost when the proletarian workers retired. The study revealed that the training program needed to be updated, and communication, trust and training evaluation continuity needed to be addressed. Due to these issues, trust was built through transparency by the researcher, and suggestions were made to management for moving forward. This study adds to the body of knowledge by utilizing knowledge capture techniques in a utility plant, highlighting effective knowledge capture techniques for proletarian workers, the importance of corporate planning for the effect of group retirements, and how incorporating proletarian workers into training creation can make a positive impact on company relationships.