D. Tech. Industrial Engineering. / Discusses purpose of this study is to derive a new model capable of advanced diagnosis and analysis of energy usage to determine the possible energy efficiency potential through the following in a single model: Analysis of industrial historical data; Prediction of the industrial energy baseline; Computation of the industrial energy efficiency; and Optimization of the industrial energy consumption usage. In this context, the development of a new model involves: Carrying out literature survey; Carrying out Mathematical Analysis of the dynamics of energy efficiency in an industry; Critically analyzing and testing existing models; Evolve a new and novel model; Test the model using data from specific industry; Apply the model to eleven industrial sectors in South Africa. This thesis on energy efficiency potential will be a milestone for different stakeholders, policymakers and decision makers in the energy sector at national and international levels who are, or will be interested in reducing energy input and still produce the observed output levels, by becoming technically efficient. The approach adopted by the study is the integration of Index Decomposition Analysis (IDA), Artificial Neural Network (ANN) and Data Envelopment Analysis (DEA) into a single model.This methodology combines modeling, which is at the core of an energy-management technique, with a wider interpretation of activity growth, structure and efficiency changes which contribute to changes in energy consumption.

published_or_final_version / Public Administration / Master / Master of Public Administration

Univ., Diss.--Hamburg, 2005. / Zsfassung in dt. Sprache.

Climate change has become a major concern for research and policy in recent decades, and housing has been an important area to tackle as globally this sector accounts for roughly a quarter of energy demand, and its resulting carbon emissions (Staffell et al., 2015). Behaviour change campaigns constitute a significant strand within government responses to reduce carbon emissions. However, on the grounds that environmental impact has little to do with individual's intentions, there is growing interest in the ordinary, rather than the extraordinary (e.g. pro-environmental values), and the socio-material transformation of collective conventions (Shove, 2010). Research emerging from this ‘practice turn' is often underpinned by evidence of changing expectations of comfort that undermine improvements in energy efficiency (Hitchings and Lee, 2008; Walker et al., 2016). Notably, research indicates that it is increasingly common for indoor environments to be maintained within a narrow range of temperatures through mechanical heating and cooling, which has significant implications for energy (Shove, 2003). While these practice-informed studies have successfully offered new avenues for intervention in sustainable consumption, home comfort has been rather narrowly investigated and has often been equated with thermal comfort. Yet expectations of home comfort and household management decisions are much more complex and multifaceted than the desire to be sufficiently warm or cool. A focus on thermal comfort has arguably trivialised other meanings of home comfort that might also be significant to understanding patterns of domestic energy demand. The aim of this thesis therefore was to develop a concept of home comfort to inform understandings, debates and policy related to domestic energy demand, and this thesis presents data from whole-household interviews, house tours, ideal drawings and home energy adviser interviews to address this aim. A key finding of this thesis was that home comfort is a sense of relaxation and wellbeing, which results from companionship and having some sense of control in the home. Broadening out understandings of occupant satisfaction to account for some of this complexity draws attention to householder's perception of the space per person ‘needed' to facilitate comfortably sharing the home with others. Engaging with the trend towards increasing space per person is important because it has the potential to reduce energy demand for space heating without falling back into emphasising technical intervention or questioning the standardisation of thermal comfort. Furthermore, householder's actions to reduce domestic energy demand were found to be tightly, if implicitly, linked to expectations of home comfort and processes of homemaking. It is important to remember that changes to the home are not simply the result of financial rationalisation or attempts to improve thermal comfort. There is certainly scope for the concept of home comfort to inform understanding of domestic energy demand and to highlight alternative strategies to ‘steer' towards more sustainable forms of everyday life.

Thesis (MTech (Electrical Engineering))--Cape Peninsula University of Technology, 2010. / In recent years, the South African hotel industry has experienced increasing demand for hotel's services. At the same time, mounting costs of energy affects energy performance and public image. Energy management is a new approach to address those widespread problems. This study aimed to suggest good management practices and develop a "self-help" approach, to reduce the demand and costs of energy for the South Africa hotel industry. This is expected to result in monetary savings and conservation of energy resources. This has been done by conducting survey within seven selected hotels in Cape Town, metropolitan of South Africa. In addition, through the "self-help" guide, approaches to energy management system are also described, showing the ways for hotels to achieve better energy performance. Potentials for savings from good housekeeping are estimated to 10 - 15%. The "self-help" guide is recommended to be improved through implementation in pilot hotels; and the proposal set of benchmarks need to be different for hotels in different provinces of South Africa considering the differences in climate conditions. The result of this study range from presenting the energy conservation awareness, barriers, method of conservation, financial and institution mechanisms, policy measures, status of energy use and propose strategy to develop a "Self-help" guide for energy management in South African Hotel industry. It has been found that energy monitoring has been done in the South African Cape Town hotels. From the total energy consumed by this industry, electricity accounts 80% of it of which air conditioning takes the biggest share (about 50%) and the remaining for Liquefied Petroleum Gas (LPG), diesel and others fuels. In addition, through the "self-help" guide, approaches to energy management system are also described, showing the ways for hotels to achieve better energy performance. Potentials for savings from good housekeeping are estimated to 10 - 15%. The "self-help" guide is recommended to be improved through implementation in pilot hotels; and the proposal set of benchmarks need to be different for hotels in different provinces of South Africa considering the differences in climate conditions.

M.Sc. / This study compares the electricity consumption of two buildings, of similar architectural design, in Simba Office Park, Sandton, in Johannesburg. One of the buildings (Block AB) has not been retrofitted for energy efficiency, whilst the other building (Block C) is a retrofitted building. The hypothesis postulates that the retrofitted building would use less energy than the non-retrofitted one. The research methodology employed has been used internationally, as in the case reported by Levine et al. (1996), who did a study in the United States of America on retrofitting for achieving energy efficiency. Dong et al. (2005) investigated the energy savings due to the retrofitting of old Singaporean commercial office buildings. In this case, six buildings were compared before and after retrofitting, using utility bill and weather data. There have also been similar studies in China (Xu et al, 2006) and Budapest (Urge-Vorsatz & Novikova, 2008). The Budapest study also unpacked the cost of retrofitting. Using methods advocated by Probst (2004), Yalcintas (2008) and Yalcintas & Kaya (2009) for collecting data on floor space, building parameters and design, this study also collected electricity consumption data based on meter readings for the same blocks over the period March 2009 to April 2010. The retrofitting measures were documented and the associated costs noted. Interviews were conducted with key personnel such as the Central Energy Fund (CEF) House executives, the site electrical engineer, the developer, and Simba Office Park managers. Block AB had the least number of energy-efficient installations. Block C was found to be fully retrofitted, at a cost of more than R4 million. However, the energy management system, required to manage and monitor energy use, was only fully installed by November 2009. The results of this study are significant. It was found that energy consumption for Block C far exceeded that for Block AB. Thus, in this case, retrofitting did not reduce electricity consumption. The results demonstrate that in order to fully understand energy use, data collection and analysis must be ongoing. This verifies the findings of Ali (2008), Armstrong (2009) and Yalcintas & Kaya (2009) who found that we need to shift from managing buildings to managing energy use and assess and verify any recorded savings to ensure energy conservation. Computer-based building management systems play a major role in such management. Such a system was only partially in use in Block C for the duration of the study period. Thus, another finding was that the energy management system needs to be fully operational in real time, or else energy efficiencies cannot be achieved and data sets will be incomplete. This conclusion reflects the findings of Hirst (1980).

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第17878号 / 工博第3787号 / 新制||工||1579(附属図書館) / 30698 / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授 中川 大, 教授 谷口 栄一, 准教授 松中 亮治 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Call number: LD2668 .T4 1979 N368 / Master of Science

Energy consumption and its management have been clearly identified as a challenge in computing and communication system design, where energy economy is obviously of paramount importance for battery powered devices. This thesis addresses the energy efficiency of mobile communication at the user end in the context of cellular networks. We argue that energy efficiency starts by energy awareness and propose EnergyBox, a parametrised tool that enables accurate and repeatable energy quantification at the user end using real data traffic traces as input. EnergyBox offers an abstraction of the underlying states for operation of the wireless interfaces and allows to estimate the energy consumption for different operator settings and device characteristics. The tool is used throughout the thesis to quantify and reveal inefficient data communication patterns of widely used mobile applications. We consider two different perspectives in the search of energy-efficient solutions. From the application perspective, we show that systematically quantifying the energy consumption of design choices (e.g., communication patterns, protocols, and data formats) contributes to a significantly smaller energy footprint. From the system perspective, we devise a cross-layer solution that schedules packet transmissions based on the knowledge of the network parameters that impact the energy consumption of the handset. These attempts show that application level decisions require a better understanding of possible energy apportionment policies at system level. Finally, we study the generic problem of determining the contribution of an entity (e.g., application) to the total energy consumption of a given system (e.g., mobile device). We compare the state-of-the-art policies in terms of fairness leveraging cooperative game theory and analyse their required information and computational complexity. We show that providing incentives to reduce the total energy consumption of the system (as part of fairness) is tightly coupled to the policy selection. Our study provides guidelines to select an appropriate policy depending on the characteristics of the system.