ANEXO 5: Hoja de prescripción individualizada del paciente
1.2. PRINCIPIOS GENERALES DE LA PRESCRIPCIÓN DE EJERCICIO FÍSICO EN LOS PACIENTES CON RCV
It is possible to conserve great amounts of energy in a building only by optimization and employing passive strategies in architectural design. The proposed residential building with eight housing units was designed with consideration of socio-cultural factors and traditional passive strategies found in the city of Yazd, Iran. From the study of climate, a hot and arid climate with hot summers and moderately cold winters was recognized. With the aim of minimizing the energy-use of the building, climatic responsive design and
environmentally friendly approaches were required. The concept of passive design was employed in order to decrease the heating, cooling and lighting demands of the building and meet the inhabitant’s comfort based on Adaptive Comfort Model in ASHRAE Standard 55- 2010 for the city and occupants. Strategies used in this thesis, such as optimizing natural ventilation by chimney and cross ventilation, daylights with using a narrow plan design, orientation, shape, and suitable material chosen are mainly inherited from traditional and vernacular architecture. As a result, the proposed building shows great promise for lowering energy-use by three major sectors i.e. heating, cooling, and lighting.
Although the preliminary results from this thesis can be improved by adding exact and refined schedule-use for energy consumption sectors, strategies of energy conservation and energy efficiency can be applied to all residential buildings in hot and arid climate of Iran and worldwide.
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APPENDIX A: CLIMATIC DATA OF YAZD, IRAN
Figure A-1 Ground temperature (monthly average) for Yazd (Source: Climate Consultant
software)
Figure A-3 Sun shading chart for Yazd (Source: Climate Consultant software)
Figure A-4 3-D chart of dry bulb temperature for Yazd (Source: Climate Consultant
APPENDIX B: HOURLY RESULT FOR NATURAL VENTILATION STRATEGIES
Figure B-1 Simulation results for a random day of June 14 at 7.30 AM with chimney strategy
Figure B-2 Simulation results for a random day of June 14 at 12.30 PM with chimney strategy
Figure B-3 Simulation results for a random day of June 29 at 7.30 PM with cross ventilation
strategy
Figure B-4 Simulation results for a random day of June 29 at 12.30 PM with cross