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MIML7620 | Building Energy Simulation Methods | 3+0+0 | ECTS:7.5 | Year / Semester | Fall Semester | Level of Course | Third Cycle | Status | Elective | Department | DEPARTMENT of ARCHITECTURE | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Doç. Dr. Sibel MAÇKA KALFA | Co-Lecturer | | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The aims of the course purpose to explain by means of building models of using methods for building energy simulation, achieve information about usage of building energy simulation softwares, purpose to generated of data required for energy simulation and purpose to selected of appropriate energy simulation software for determined performance evaluation of buildings of different scale. |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | Understand differences among building energy simulation softwares and select appropriate energy simulation software for own problem | 5,10 | 3,5,6, | PO - 2 : | Learn terms about energy simulation and achieve skill realized energy simulation of building. | 5,10 | 3,5,6, | PO - 3 : | Generate data required for energy simulation, analyse results | 5,10 | 3,5,6, | PO - 4 : | Test energy simulation results with optimization, calibration and sensitivity analyses | 5,10 | 3,5,6, | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
Course is taught subjects that are building energy simulation, building energy simulation softwares, standarts and calculation methods using by building energy simulation softwares in energy analysis, selection criterias and arrangement of data relation to climate, building design parameters and HVAC systems required for energy simulation softwares, evaluation criterias results of simulation softwares, sensitivity analysis, calibration and optimization studies. To model a building and to evaluate results relation to the building with a selected energy simulation software using data based on theoretical and practice that learned in course are wanted from each student. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Aim, content, references of the course | | Week 2 | Discussion term of energy simulation | | Week 3 | Overview energy simulation methods- energy simulation softwares | | Week 4 | Standarts and calculation procedures | | Week 5 | Generation and analysis of climate data | | Week 6 | Generation and analysis of climate data (continued) | | Week 7 | Building design parameters, selection criterias and arrange data belong to HVAC and lighting systems | | Week 8 | Evaluation and analysis of energy simulation results- Sensitivity analyse, optimization and calibration | | Week 9 | Mid-term exam | | Week 10 | Expression as pratical of building energy simulation steps using an energy simulation software on a sample building model | | Week 11 | Expression as pratical of building energy simulation steps using an energy simulation software on a sample building model (continued) | | Week 12 | Modelled of building determined in selected simulation software and analysis of results; presentation and discussion (continued) | | Week 13 | Modelled of building determined in selected simulation software and analysis of results; presentation and discussion (continued) | | Week 14 | Modelled of building determined in selected simulation software and analysis of results; presentation and discussion (continued) | | Week 15 | Modelled of building determined in selected simulation software and analysis of results; presentation and discussion (continued) | | Week 16 | Final exam | | |
1 | Sibel Maçka Kalfa, Türkiye İklim Bölgelerinde Konut Binaları İçin Isıtma ve Soğutma Yüklerinin Belirlenmesinde Kullanılabilecek Bir Yaklaşım, Doktora Tezi, KTÜ, Fen Bilimleri Enstitüsü, Aralık, 2014. | | 2 | Joseph Clarke, Energy Simulation in Building Design, Taylor Francis Group, Second Edition, 2001, New York. | | |
1 | Kjell Anderson, Design Energy Simulation For Architects: Guide to 3D Graphics, Routlegge Press, 2014, New York | | 2 | Chris Underwood, Francis Yik, Modelling Methods for Energy in Buildings, Blackwell Publishing, 2004, UK. | | 3 | Mohd Yusoff Senawi, Building Energy Simulation: Mathemetical Models, Algorithms, VDM Verlag Dr. Müller, 2010, Berlin. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 16/11/2016 | 1 | 50 | End-of-term exam | 16 | 04/01/2017 | 1 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 7 | 14 | 98 | Arasınav için hazırlık | 12 | 2 | 24 | Arasınav | 1 | 1 | 1 | Ödev | 5 | 3 | 15 | Dönem sonu sınavı için hazırlık | 12 | 2 | 24 | Dönem sonu sınavı | 1 | 1 | 1 | Diğer 1 | 10 | 2 | 20 | Total work load | | | 225 |
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