Version 1
: Received: 24 July 2023 / Approved: 25 July 2023 / Online: 25 July 2023 (10:43:02 CEST)
How to cite:
Polat, H.; Yıldırım, M. Sustainable and Energy Saving Model Research for Existing Housing Stocks; Field Study. Preprints2023, 2023071693. https://doi.org/10.20944/preprints202307.1693.v1
Polat, H.; Yıldırım, M. Sustainable and Energy Saving Model Research for Existing Housing Stocks; Field Study. Preprints 2023, 2023071693. https://doi.org/10.20944/preprints202307.1693.v1
Polat, H.; Yıldırım, M. Sustainable and Energy Saving Model Research for Existing Housing Stocks; Field Study. Preprints2023, 2023071693. https://doi.org/10.20944/preprints202307.1693.v1
APA Style
Polat, H., & Yıldırım, M. (2023). Sustainable and Energy Saving Model Research for Existing Housing Stocks; Field Study. Preprints. https://doi.org/10.20944/preprints202307.1693.v1
Chicago/Turabian Style
Polat, H. and Muhammed Yıldırım. 2023 "Sustainable and Energy Saving Model Research for Existing Housing Stocks; Field Study" Preprints. https://doi.org/10.20944/preprints202307.1693.v1
Abstract
Although buildings constitute 35% of global energy use and 38% of carbon emissions from energy, the amount of energy and energy-related carbon emissions are increasing rapidly. On the other hand, non-renewable usable energy resources are decreasing on the contrary. New buildings are being built due to the increasing population and the existing building stock not meeting the needs or losing its lifespan. Some of the existing building stock is demolished and renewed for structural reasons and some for reasons such as usage performance. It is possible to reduce both energy consumption and greenhouse gas emissions with strategic energy uses in existing building stocks. There are various techniques to measure the maximum performance of sustainable and energy-efficient use of existing building stocks with which changes. Building Information Modeling (BIM) technology is one of these techniques that provides wide opportunities to users in recent years, and it is almost a virtual laboratory of structures. Building stocks can be modeled with BIM, and alternative shell and system suggestions can be used to measure how building performance has changed and to achieve the best results. In this research study, improvement scenarios that optimize energy use in existing building stocks are investigated on a sample residential building by using the virtual laboratory facilities of BIM. After measuring the current energy performance of the existing building with BIM tools, 192 alternative results were obtained with 6 variables (external walls, roof, insulation layers, transparent surface materials, lighting, and photovoltaic panels). The obtained alternatives were compared with the current state of the existing building. The material expenditures and amortization periods required for these alternative scenarios are also calculated. The results obtained were evaluated according to annual / lifetime energy consumption, fuel, electricity, initial investment costs, energy use intensity, and carbon emission amounts. With the optimization of the current situation of the sample building, annual fuel consumption decreased by 61% and electricity consumption by 64%. The amortization period of the optimum improvement was determined as 12 years.
Keywords
Sustainability Architecture; Building Information Modeling; Building Performance Analysis; energy analysis
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
