A Life cycle costing based decision support tool for cost-optimal energy efficient design and/or refurbishments

Download

index.pdf

Date

2018

Author

Emekci, Şeyda

Metadata

Show full item record

Item Usage Stats

314
views

179
downloads

In construction sector, deciding on building investment / refurbishments can be a complex process because it involves multiple criteria and generally conflicting objectives. For this reason, in the early phase, it is necessary to carry out an analysis that can enhance the predictability of these decisions taken, determine the optimum points of conflicting decisions and at the same time increase the social, environmental and economic sustainability. In the analysis, the total cost incurred building life cycle period, including the energy demand, must be taken into consideration, instead of only considering the investment cost. In order to choose the most cost optimal option among the unlimited number of solution proposals, a computer-aided Decision Support Tool (DST) is required. The DST should also be systematic, transparent, integrated with life cycle cost (LCC). This study aims to develop an LCC-based decision support tool which life cycle costing and optimization have been successfully combined in order to provide jointly cost optimization of energy efficient design and refurbishment. The constructed DST purposes to create the most optimal set of solutions by calculating the building life cycle costs and energy demands individually that can result from constructing about one-million different hypothetical buildings, instead of calculating a limited number of alternatives.

Subject Keywords

Buildings, Decision support systems., Cost effectiveness.

URI

http://etd.lib.metu.edu.tr/upload/12622801/index.pdf
https://hdl.handle.net/11511/27786

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A Prototype Risk Management Decision Support Tool for Construction Projects Arıkan, Ae; Dikmen Toker, İrem; Birgönül, Mustafa Talat (null; 2009-09-30) Although risk management (RM) is accepted as one of the critical success factors for construction projects, project participants generally do not have sufficient knowledge pertinent to RM concept and the number of support tools which facilitate the process is rather low. Decision support tools are necessary for the systematic identification of risks, scenario generation, and proactive management of risk and integration of RM activities with other project management functions. The aim of this study is to int...
A SUPPORT VECTOR MACHINE METHOD FOR BID/NO BID DECISION MAKING Sönmez, Rifat (2017-01-01) The bid/no bid decision is an important and complex process, and is impacted by numerous variables that are related to the contractor, project, client, competitors, tender and market conditions. Despite the complexity of bid decision making process, in the construction industry the majority of bid/no bid decisions is made informally based on experience, judgment, and perception. In this paper, a procedure based on support vector machines and backward elimination regression is presented for improving the exi...
A Decision Support System for Project Portfolio Management in Construction Companies Bilgin, Gozde; Dikmen Toker, İrem; Birgönül, Mustafa Talat; ÖZORHON ORAKÇAL, BELİZ (2022-11-01) Project portfolio management requires a systematic process that comprises assessment of portfolio risk and expected profitability, as well as strategic fit of individual projects with company objectives. After a needs analysis based on literature findings and surveys with experts, in this study, a process model and a tool, COPPMAN (COnstruction Project Portfolio MANagement), were developed to support project portfolio decisions in construction companies. COPPMAN was developed in collaboration with construct...
A hierarchical decision support system for workforce planning in medical equipment maintenance services Cihangir, Çiğdem; Bayındır, Zeynep Pelin; Tan, Tarkan; Department of Industrial Engineering (2010) In this thesis, we propose a hierarchical level decision support system for workforce planning in medical equipment maintenance services. In strategic level, customer clusters and the total number of field engineers is determined via a mixed integer programming and simulation. In MIP, we aim to find the minimum number of field engineers. Afterwards, we analyze service measures such as response time via simulation. In tactical level, quarterly training program for the field engineers is determined via mixed ...
A knowledge representation tool for architectural spaces : a study on surgery unitsh Us, Mehta; Tanyer, Ali Murat; Department of Building Science in Architecture (2019) The nature of construction projects is very iterative and there are various people involved from different disciplines and organizations in the process. Design stage is unique, complex and require combination and expertise of different people. The capture and reuse of design experience is considered as an efficient way to promote a better design process and efficient building solutions. The smallest part in a building is the space. It is a long-term asset of a building; therefore, a space knowledge manageme...

Citation Formats

Ş. Emekci, “A Life cycle costing based decision support tool for cost-optimal energy efficient design and/or refurbishments,” Ph.D. - Doctoral Program, Middle East Technical University, 2018.