BIM based Multi Objective Building Life Cycle Energy Performance Evaluation Using Particle Swarm Optimization

Date

2015-11-02

Author

Altun, Murat
Akçamete Güngör, Aslı

Metadata

Show full item record

Item Usage Stats

200
views

0
downloads

Building energy performance evaluation is a multi-objective problem that plays crucial role in reducing environmental effects and energy costs, especially for energy importing countries to minimize its adverse effect on politics and economy. Moreover, two-fifth of world energy consumption and thirty percent of CO2 emission belong to buildings and services. Building energy performance is estimated by steady state and dynamic energy calculation methods whereas dynamic simulation performs more accurate results than steady-state ones. However, despite being more effective, dynamic energy simulation tools such as EnergyPlus have limitations as they do not inherit parametric relationships between building elements even when design information is received from Building Information Modeling (BIM) tools. The parametric modeling features in BIM tools can be leveraged when building energy performance is calculated by using Dynamo visual programming interface to evaluate design alternatives. In this study, a methodology to optimize building life cycle energy performance by exploring alternatives in material and geometric properties of building windows is explained. Multiobjective Particle Swarm Optimization (MOPSO), is used to minimize life cycle cost, life cycle CO2 equivalent emission (GWP), and initial cost of building based on design alternatives altered via Dynamo-BIM interface. In this methodology, design alternatives are planned to be selected according to MOPSO coded in Dynamo based on energy performance of design variables measured by Green Building Studio and sent to Dynamo as outputs to calculate fitness values of objectives. In this study, Dynamo interacts with BIM software to change window properties and optimization algorithm is coded in Dynamo and tested with a multi-objective problem. The result shows that MOPSO works in Dynamo efficiently by generating multiple non-dominated solutions. As a future study, interaction between Dynamo optimization and Dynamo-BIM interface will be provided to optimize BIM-based building energy performance.

Subject Keywords

Multi-objective optimization, BIM, Energy analysis, Dynamo, Particle Swarm Optimization

URI

https://hdl.handle.net/11511/72634
https://itc.scix.net/pdfs/w78-2015-paper-003.pdf

Conference Name

CIB W78 conference 2015 (27 - 29 Ekim 2015)

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Multiple objective energy and environmental policy analysis Yıldız, Şahan; Köksalan, Murat; Department of Industrial Engineering (2015) Energy policy research studies need to consider several objectives since the energy sector is closely related with economy, environmental quality, and supply security. Before 70s, studies were based on a one-way relationship between the energy sector and the economy, and they tried to estimate energy demand given the level of economic activity. However, the Arabic oil embargo, which doubled the energy prices, resulted in an economic crisis since energy is an intermediate good which is used in almost all pro...
Parametric analysis of BIM-based building energy performance for supporting multi-objective optimization Can, Esra; Akçamete Güngör, Aslı; Department of Civil Engineering (2022-5-11) Building energy efficiency comes into prominence as buildings constitute a significant portion of world energy consumption and CO2 emissions. To achieve energy-efficient buildings, energy performance assessments should be conducted meticulously, yet it is difficult to comprehensively estimate the buildings’ energy consumption since energy performance assessments are complex multi-criteria problems that are affected by many factors such as building orientation, envelope design, climatic conditions, daylight ...
Literature review on BIM-based building energy performance optimization Can, Esra; Akçamete Güngör, Aslı (İstanbul Teknik Üniversitesi; 2020-11-14) Buildings comprise a large part of global energy consumption and make a significant contribution to overall CO2 emissions in the world. Therefore, increasing the energy efficiency of buildings becomes a priority to reduce these undesirable effects. Building energy performance assessments are complex multi-criteria problems as the energy performance is affected by many factors such as building orientation, envelope design, climate conditions, daylighting levels, and HVAC system usage schedules. This complica...
Energy efficiency and rebound effect for household gas consumption: evidence from Ankara Yılmaz, Zehra İlknur; Sarı, Ramazan; Department of Earth System Science (2019) Increasing energy demand and concerns about energy security and climate change have led to energy efficiency to become one of the important energy policy objectives in many countries. It is conceived that energy efficiency improvements will decrease energy consumption and CO2 emissions. However, actual efficiency savings are often less than projected savings because of consumer behavior. This concept is known as the rebound effect which is an important factor to be considered while estimating results of ene...
Operating policies for energy generation and revenue management in single-reservoir hydropower systems Ak, Mumtaz; Kentel Erdoğan, Elçin; Savaşaneril Tüfekci, Seçil (Elsevier BV, 2017-10-01) We study the reservoir management problem in hydropower plants, and propose operating policies to maximize the average annual energy generation or the average annual revenue. Under revenue maximization, our policies allow for short-term electricity price variations to be incorporated into the long-term plan. First, we provide a detailed review of hydropower plant operation, focusing on implicit stochastic optimization approaches and integration of energy price variations in reservoir management. Then, we ex...

Citation Formats

M. Altun and A. Akçamete Güngör, “BIM based Multi Objective Building Life Cycle Energy Performance Evaluation Using Particle Swarm Optimization,” presented at the CIB W78 conference 2015 (27 - 29 Ekim 2015), Eindhoven, The Netherlands, 2015, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72634.