{"id":16313,"date":"2024-02-06T08:37:55","date_gmt":"2024-02-06T08:37:55","guid":{"rendered":"http:\/\/141.23.68.248\/wp\/?page_id=16313"},"modified":"2024-02-12T18:38:33","modified_gmt":"2024-02-12T18:38:33","slug":"office-building","status":"publish","type":"page","link":"http:\/\/141.23.68.248\/wp\/?page_id=16313","title":{"rendered":"Office Building"},"content":{"rendered":"

1. Introduction<\/h3>\n

The building sector has substantial impact on environment. With the extensive use of construction materials, this industry plays a crucial role in resource consumption and environmental stress. According to Ahmed et all (2019) \u201cThe construction industry is responsible for several impacts on the site and the region where it installs a particular work. These impacts extend from the manufacture and transport of materials to the execution of a particular project, and they are of environmental, social, and even economic nature\u201d.\u00a0(The references are given in the Full Report at the end of the page.)<\/p>\n

2. Goal and Scope<\/h3>\n

The main goal of this work is to observe the energy use and carbon emissions of the construction of a subsystem of a concrete office building system. The substructure is chosen as column. The scope and the boundaries of the assessment are presented in the Figure 1.<\/p>\n

\"Figure<\/a>
Figure 1: Scope and the boundaries of the assessment.<\/figcaption><\/figure>\n

3. Design Options<\/h3>\n

The design alternatives for a column are shown in Figure 2. Simple-supported column with a load bearing capacity of an axial force of 5000 kN and a bending moment of 100 kNm is considered for this study (Ahmed et all, 2019).<\/p>\n

\"Figure<\/a>
Figure 2: Design alternatives for a column.<\/figcaption><\/figure>\n

Definitions of the design alternatives is presented in Table 1. The properties of these options also shown in the Table 2.<\/p>\n

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4. Life Cycle Inventory<\/h3>\n

Table 3 presents the composition of different materials used. Data is gathered by Ahmed et all, for each material, encompassing details on energy consumption during fabrication and processing (measured in MJ\/t), as well as emissions of CO2, NOx, and SO2 (expressed in kg\/m3). The scope column displays the association with various design options. It uses different numbers to represent quantities, each carrying a distinct meaning such as CR = Circular, HSS = High Strength Steel, COM = Composite.<\/p>\n

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4.1. Life Cycle Timeline
\n<\/a><\/h4>\n

Initiating the life cycle analysis requires establishing the lifespan of the selected system. It is equally crucial to delineate events occurring throughout its lifetime, encompassing maintenance activities such as repairs or rebuilding. In this context, a service life of 75 years has been assumed for both the building and the column. The generated timeline for the Options are shown below in the Figures 3, 4 and 5.<\/p>\n

\"Figure<\/a>
Figure 3: Timeline for Option1.<\/figcaption><\/figure>\n
\"Figure<\/a>
Figure 3: Timeline for Option2.<\/figcaption><\/figure>\n
\"Figure<\/a>
Figure 3: Timeline for Option3.<\/figcaption><\/figure>\n

\u00a05. Life Cycle Inventory Analysis<\/h3>\n

The Life Cycle Inventory Analysis for the three options has been completed, and the corresponding results have been obtained and illustrated in the figures below.<\/p>\n

\"Figure<\/a>
Figure 6: Energy consumption.<\/figcaption><\/figure>\n

Observing Figure 6, we can discern the energy consumption associated with each design option. Specifically, Option 2, high strength steel section, demands the least energy for both renewable and non-renewable energy. Composite column design requires the highest amount of energy.<\/p>\n

Figure 7 presents the CO2 emissions for each design option. High strength steel section has least emission with circular steel section following it and composite section with the highest emission. The same comments can be made for the SO2 emissions that shown in Figure 8. Figure 8 presents the NOX emissions. Circular steel section has least emission with high strength steel section following it and composite section with the highest emission.<\/p>\n


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6. MCDA<\/h3>\n

In this model, the TOPSIS method is used to analyse the system. It is a method of compensatory aggregation that compares a set of alternatives, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion (Wikipedia contributors, 2023). Defined weights for each indicator as follow:<\/p>\n