| id |
ecaade2021_177 |
| authors |
Aksin, Feyza Nur and Arslan Selçuk, Semra |
| year |
2021 |
| title |
Use of Simulation Techniques and Optimization Tools for Daylight, Energy and Thermal Performance - The case of office module(s) in different climates |
| doi |
https://doi.org/10.52842/conf.ecaade.2021.2.409
|
| source |
Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 409-418 |
| summary |
In recent years, performance-based design has become the key issue behind design decisions in the construction industry towards reducing energy consumption. Various simulation techniques and optimization tools have started to be used together for performance objectives to reach optimal solutions for complex design process. In the sector, one of the most energy-consuming buildings is offices. This study examines the effects of integration of simulation programs and optimization tools on the daylight, energy and thermal performances of office buildings on different climates. Two cities, Ankara and Izmir, in Turkey selected as locations. The study is carried out with total of thirteen parameters. With Rhinoceros/Grasshopper software, Honeybee, Ladybug and Octopus plug-ins used for daylight, energy and thermal simulation and performance optimization. With the results obtained, the optimal configurations related with selected parameters are determined for reducing energy consumption while improving daylight and thermal performance on different climates. |
| keywords |
daylight, energy and thermal comfort performance; multi-objective optimization; performance-based design; office buildings |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (11,575,213 bytes) |
| references |
Content-type: text/plain
|
ASHRAE, ASHRAE (2021)
 ANSI/ASHRAE Standard 55-2020 - Thermal Environmental Conditions for Human Occupancy
, ASHRAE
|
|
|
|
|
Bamdad, K, Cholette, ME, Guan, L and Bell, J (2017)
Ant colony algorithm for building energy optimisation problems and comparison with benchmark algorithms
, Energy and Buildings, 154, pp. 404-414
|
|
|
|
|
Chen, X, Wang, Q and Srebric, J (2015)
Model predictive control for indoor thermal comfort and energy optimization using occupant feedback
, Energy and Buildings, 102, pp. 357-369
|
|
|
|
|
Cheong, KH, Teo, YH, Koh, JM, Acharya, UR and Man Yu, SC (2020)
A simulation-aided approach in improving thermal-visual comfort and power efficiency in buildings
, Journal of Building Engineering, 27, p. 100936
|
|
|
|
|
Delgarm, N, Sajadi, B and Delgarm, S (2016)
Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC)
, Energy and Buildings, 131, pp. 42-53
|
|
|
|
|
Eltaweel, A and Su, Y (2017)
Parametric design and daylighting: A literature review
, Renewable and Sustainable Energy Reviews, 73, pp. 1086-1103
|
|
|
|
|
Fang, Y and Cho, S (2019)
Design optimization of building geometry and fenestration for daylighting and energy performance
, Solar Energy, 191, pp. 7-18
|
|
|
|
|
González, J and Fiorito, F (2015)
Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods
, Buildings, 5(2), pp. 560-580
|
|
|
|
|
International Energy Agency, IEA (2019)
2019 Global Status Report for Buildings and Construction:Towards a zero-emissions, efficient and resilient buildings and construction sector
, United Nations Environment Programme
|
|
|
|
|
Konis, K, Gamas, A and Kensek, K (2016)
Passive performance and building form: An optimization framework for early-stage design support
, Solar Energy, 125, pp. 161-179
|
|
|
|
|
Lavin, C and Fiorito, F (2017)
Optimization of an External Perforated Screen for Improved Daylighting and Thermal Performance of an Office Space
, Procedia Engineering, 180, pp. 571-581
|
|
|
|
|
Manzan, M and Padovan, R (2015)
Multi-criteria energy and daylighting optimization for an office with fixed and moveable shading devices
, Advances in Building Energy Research, 9(2), pp. 238-252
|
|
|
|
|
Mardaljevic, J, Andersen, M, Roy, N and Christoffersen, J (2012)
Daylighting metrics: is there a relation between useful daylight illuminance and daylight glare probabilty?
, 1st Building Simulation and Optimization Conference BSO12, Loughborough, UK
|
|
|
|
|
Méndez Echenagucia, T, Capozzoli, A, Cascone, Y and Sassone, M (2015)
The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis
, Applied Energy, 154, pp. 577-591
|
|
|
|
|
Nabil, A and Mardaljevic, J (2005)
Useful daylight illuminance: a new paradigm for assessing daylight in buildings
, Lighting Research & Technology, 37(1), pp. 41-57
|
|
|
|
|
Nazaroff, WW (2014)
Illumination, lighting technologies, and indoor environmental quality
, Indoor air, 24(3), pp. 225-226
|
|
|
|
|
Ng, R, Patel, S and Ng, R (2013)
Introduction: Experimental Performances: Materials as Actors.
, Ng, R and Patel, S (eds), Performative materials in architecture and design, Intellect Books, pp. 1-18
|
|
|
|
|
Pilechiha, P, Mahdavinejad, M, Pour Rahimian, F, Carnemolla, P and Seyedzadeh, S (2020)
Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency
, Applied Energy, 261, p. 114356
|
|
|
|
|
Reinhart, C (2019)
Daylight performance predictions
, Hensen, JLM and Lamberts, R (eds), Building performance simulation for design and operation, Routledge, pp. 221-269
|
|
|
|
|
Shahbazi, Y, Heydari, M and Haghparast, F (2019)
An early-stage design optimization for office buildings' façade providing high-energy performance and daylight
, Indoor and Built Environment, 28(10), pp. 1350-1367
|
|
|
|
| last changed |
2022/06/07 07:54 |
|
