Thesis. 1978. M.Arch.--Massachusetts Institute of Technology. Dept. of Architecture. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH / Bibliography: leaves 104-108. / by Lisa Heschong. / M.Arch.

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Bio-climatic design is essential to all architecture because buildings consume large amount of energy to maintain comfortable indoor environments. To achieve this goal, we need a model that can be a source of inspiration as well as knowledge to motivate and help architects in creating such architecture.Many designers have taken inspiration from nature and explored various ways of mimicking its models. In this creative project, I looked at various entities in nature to understand how they acclimatize to respective climatic settings. Based on several observations, I extracted Nature's design principles and applied those to the bio-climatic design of buildings. These principles are helpful in developing a general understanding for making our buildings responsive to climate. / Department of Architecture

Thesis (Ph. D. - Graduate Interdisciplinary Program in Arid Lands Resources Sciences) - University of Arizona. / Includes bibliographical references (leaves 149-152).

Thesis (M.Arch.) - Carleton University, 2005. / Includes bibliographical references (p. 90-91). Also available in electronic format on the Internet.

Thesis--Tekniska högskolan, Stockholm. / Extra t.p. with thesis statement and errata slip inserted. Includes bibliographical references (leaves 68-72 (3d group)).

Thesis--Tekniska högskolan, Stockholm. / Extra t.p. with thesis statement and errata slip inserted. Includes bibliographical references (leaves 68-72 (3d group)).

by Shrinath Tandur. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 122-125). / Chapter 1.0 --- BACKGROUND --- p.13 / Chapter 1.1 --- The Site --- p.19 / Chapter 1.2 --- Low-rise housing for Low and Middle Income groups (LIG & MIG) --- p.20 / Chapter 1.3 --- Use of space with respect to time --- p.28 / Chapter 1.4 --- Adapting for comfort --- p.31 / Chapter 1.5 --- The roof as a sleeping area --- p.32 / Chapter 2.0 --- OBJECTIVE --- p.34 / Chapter 3.0 --- METHODOLOGY --- p.35 / Chapter 3.1 --- DEROB - an overview --- p.38 / Chapter 3.2 --- Modelling the climate --- p.42 / Chapter 3.2.1 --- The climate of --- p.42 / Chapter 3.2.2 --- Modelling the climate --- p.44 / Chapter 3.2.3 --- Special weather files --- p.50 / Chapter 3.3 --- Fanger's Comfort Equation --- p.54 / Chapter 3.3.1 --- The Predicted Mean Vote --- p.56 / Chapter 3.3.2 --- The Predicted Percentage Dissatisfied --- p.58 / Chapter 3.3.3 --- Range of values --- p.60 / Chapter 3.4 --- Modelling the housing unit on DEROB --- p.64 / Chapter 3.4.1 --- Standard building materials --- p.64 / Chapter 3.4.2 --- Modelling building materials --- p.65 / Chapter 3.4.3 --- Development of a method --- p.66 / Chapter 3.4.4 --- The simplified cube --- p.69 / Chapter 4.0 --- The -DEROB exercises --- p.72 / Chapter 4.1 --- A study of variations air changes rates & times --- p.72 / Chapter 4.2 --- The damping effect of the earth's mass --- p.76 / Chapter 4.3 --- The effect of orientation --- p.79 / Chapter 4.4 --- The effect of external wall mass --- p.82 / Chapter 4.5 --- The effect of colour upon external wall mass --- p.84 / Chapter 4.6 --- The effect of shadowing upon a building --- p.87 / Chapter 4.7 --- The influence of internal wall mass --- p.91 / Chapter 4.8 --- The effect of the roof --- p.94 / Chapter 4.9 --- An analysis of parapet walls --- p.97 / Chapter 4.10 --- The effect of openings and shading --- p.103 / Chapter 5.0 --- A SUMMARY OF RESULTS --- p.106 / Chapter 5.0.1 --- A summary brief --- p.109 / Chapter 5.1 --- Preliminary Design Guidelines --- p.110 / Chapter 5.2 --- A validation of results using a model of a complete housing unit --- p.118 / Chapter 5.3 --- Afterword --- p.121 / Chapter 6.0 --- BIBLIOGRAPHY --- p.122 / Chapter 7.0 --- APPENDICES --- p.126 / Chapter 7.1 --- Appendix A： Activity Chart --- p.126 / Chapter 7.2 --- Appendix B： Clo values --- p.127 / Chapter 7.3 --- Appendix C： Sundials for latitudes 12°. 14° & 16° N --- p.129 / Chapter 7.4 --- Appendix D; A shortlist of digital simulation models --- p.131 / Chapter 7.5 --- Appendix E: Weather Data for Chitradurga District --- p.133 / Chapter 7.6 --- Appendix F: HUDCO' s classification of income groups --- p.143

Thesis (M.A.)--University of Queensland, 1976. / "Appendix VI: Published articles by candidate [in Japanese]": leaves 207-221. Includes bibliographical references (leaves 222-225).

The objectives of the study were to examine and quantify the relationship between vegetation and the thermal performance of residences in a hot arid environment. Also explored were structural and human influences on residential energy consumption. A primary goal was to determine how much energy savings could be realized through strategic planting of vegetation. This study sought to validate previous simulation and modeling studies that documented annual savings of 2-11% on residential cooling loads. Also examined was whether shrubs and grass could provide a benefit similar to that of trees, assessing the importance of evapotranspiration versus shading. An empirical study was conducted using 105 existing homes in the metropolitan area of Tucson, Arizona. Data included construction type, amenities, living habits of occupants, and energy consumption for heating and cooling over a two-year period. These data were analyzed with a combination of bivariate and multivariate analyses to examine direct correlations between specific variables and energy consumption and the relative importance of each variable. These analyses were unable to document any measurable savings in summer cooling loads as a result of vegetation adjacent to the house, and the presence of trees actually increased the winter heating load by 2%. While trees provide important shading benefits, and can reduce the direct solar gain through the windows of a house, analysis demonstrated that structural and human factors were the most important aspects in residential energy consumption. The size of the house is of primary importance. Houses with evaporative cooling consumed significantly less energy than those with air conditioning. Thermostat settings and habits regarding thermostat operation were the most critical human factors. Occupants who adjusted their thermostats a few degrees cooler in winter and warmer in summer realized measurable savings. Occupants who turned their heating and cooling equipment off when they were not home used significantly less energy for heating and cooling. These factors far outweighed any impact from vegetation on annual energy consumption. While trees should not be considered as a primary means of reducing annual energy consumption, properly placed vegetation can provide aesthetic benefits and increase the thermal comfort of the occupants.