COURSE UNIT TITLE

: DECISION MANAGEMENT AND OPTIMIZATION IN ARCHITECTURE

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ARC 5209 DECISION MANAGEMENT AND OPTIMIZATION IN ARCHITECTURE ELECTIVE 2 2 0 6

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR ASLIHAN ŞENEL SOLMAZ

Offered to

Structural Construction Design
Structural Construction Design

Course Objective

This course aims to provide students with information about the applications of decision management and optimization methods in architecture. Optimization can be defined as determining the best result under certain conditions. It involves investigating the maximum or minimum value of a mathematical function through various methods in line with defined constraints and producing solutions. Optimization within the discipline of architecture; orientation from design-oriented practices such as form generation, optimum floor plan layout design, optimum space dimensions design, optimum circulation areas between spaces, energy efficiency, sustainability, daylighting, carbon footprint of building materials, construction cost, building life cycle cost, etc. It includes examining many architectural design problems such as energy and environmental performance of the building, user comfort and economy, and developing the best solution using optimization methods. Therefore, it is possible to use optimization methods as a decision support system at different steps in the building life cycle process, from the early stages of design to the construction and occupancy, and research in this field is becoming increasingly significant. In particular, using optimization programs is an important approach that is widely used for optimization problem in architecture and contributes to achieving design goals for architects and engineers.

Learning Outcomes of the Course Unit

1   To understand decision management and developing optimal decision-making skills in architecture
2   To understand the basic concepts of optimization and gaining knowledge about their applications in architecture
3   To understand and classify optimization problems that arise at different stages in the building life cycle process
4   To obtain information about the basic steps in the application of optimization methods in decision-making processes and the integration of the programs used during design process.
5   Ability to understand, interpret and discuss numerical data obtained as a result of optimization application

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introducing the course, stating its purpose and scope, and giving information about research assignments.
2 Explanation of basic concepts: Decision management; Optimization; optimization methods; optimization problems and their classification; basic components of optimization
3 Optimization applications in architecture: classification of optimization problems from a building life cycle perspective; single-objective and multi-objective optimization problems; optimization methods and approaches used; affinity based optimization method and its details Application (Project)
4 Optimization problems, classification (single-objective and multi-objective problems) and solutions regarding building energy and environmental performance Application (Project)
5 Simulation-based optimization application: Introducing the EnergyPlus building energy analysis program, transferring the sample building model to EnergyPlus and making the necessary modifications. Application (Project)
6 Simulation-based optimization application (continued): Introducing the GenOpt optimization program, creating the necessary data files for integration with building energy analysis tools. Application (Project)
7 Single-objective optimization problem application: Obtaining the best solutions with the optimization method in line with the problem defined on the sample building (using EnergyPlus and GenOpt programs) Application (Project)
8 Multi-objective optimization problem application: researching the best solutions to achieve multiple design/performance goals simultaneously on a sample building with a simulation-based optimization method (using EnergyPlus and GenOpt programs). Application (Project)
9 Discussing the results obtained from the application with the students, interpreting them and presenting the data. Application (Project)
10 Application (Project)
11 Application (Project)
12 Application (Project)
13 Application (Project)
14 Submission of project

Recomended or Required Reading

Senel Solmaz, A. 2015. A decision support model based on simulation and multi-objective optimization to determine optimum solutions for building energy performance. PhD. Thesis, Dokuz Eylul University, Izmir, Türkiye.
S enel Solmaz, A.: An Approach to Identify the Optimal Solutions in the Context of Energy and Cost Criteria for Buildings in Different Climates, Megaron, 11 (2016), pp. 592-606, https:/doi. org/10.5505/megaron.2016.09609
Senel Solmaz, A., Halicioglu, F.H., Gunhan, S.: An Approach for Making Optimal Decisions in Building Energy Efficiency Retrofit Projects, Indoor and Built Environment, 27(2018), pp. 348-368, ttps:/doi.org/10.1177/1420326X16674764
Senel Solmaz, A. 2018. Optimisation of energy performance and thermal comfort of an office building. GRADEVINAR, 70 (7), 581-592.
Asadi, E., Da Silva, M. G., Antunes, C. H. ve Dias, L. S. (2013). State of the art on retrofit strategies selection using multi-objective optimization and genetic algorithms. F. Pacheco Torgal, M. Mistretta, A. R. Kaklauskas, C. G. Granqvist ve L. F. Cabeza (Ed.), Nearly Zero Energy Building Refurbishment (279-297). London: Springer.
Asadi, E., Da Silva, M. G., Antunes, C. H., Dias, L. S. ve Glicksman, L. (2014). Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application. Energy and Buildings, 81(0), 444-456.

Planned Learning Activities and Teaching Methods

Lectures, practice, project, individual research, presentation of the assignments, project submission.
The stages of the project that each student will do individually will be critiqued and improved during the course practice hours.

Assessment Methods

Successful / Unsuccessful

Further Notes About Assessment Methods

Homework %10
Project Submission %50
Final Exam %40

Assessment Criteria

Homework %10 (LO1, LO2, LO3, LO4, LO5)
Project Submission %50 (LO1, LO2, LO3, LO4, LO5)
Final Exam %40 (LO1, LO2, LO3, LO4, LO5)

Language of Instruction

Turkish

Course Policies and Rules

-

Contact Details for the Lecturer(s)

PROF. FAHRIYE HILAL HALICIOĞLU hilal.halicioglu@deu.edu.tr
ASSIST. PROF. ASLIHAN ŞENEL SOLMAZ aslihan.senel@deu.edu.tr

Office Hours

To be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 4 2 8
Tutorials 11 2 22
Preparations before/after weekly lectures 12 4 48
Preparation for final exam 1 10 10
Preparing assignments 1 7 7
Preparing presentations 4 8 32
Project Preparation 1 25 25
Final 1 2 2
TOTAL WORKLOAD (hours) 154

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1534
LO.2534
LO.3534
LO.4534
LO.5534

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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