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Sensitivity Analysis Although the transportation stage was highlighted in the categories CCH, FD, and HT, the wood-based materials were the main contributor to the four impact categories. This was because HWC and solid wood represent 88% and 5% of the total weight, respectively. Based on prior studies, it was found that HWC as the main wood-based material has better environmental performance properties. The main contributors to the environmental profile associated with HWC were the raw materials, energy, and chemicals required for production. Particulate alternatives focused on wood-based materials In this study, wood-based materials were the main components of the wardrobe because HWC and solid pine timber represent 97% and 3% of the total weight, respectively. There is no published literature on strategies to replace HWC with alternative materials, especially using different kinds of recycled wood in the panel manufacturing process (Fig. 8). The four scenarios that are shown in Fig. 8 are outlined as follows: x Scenario 0: current model, using 100% raw wood (864 kg/cm 3 HWC), x Scenario 1: conventional model, using 100% raw wood (864 kg/cm 3 conventional MDF), x Scenario 2: using 50% virgin wood (432 kg/cm 3 HWC) and 50% wood waste (432 kg/cm 3 HWC), and x Scenario 3: using 0% virgin wood and 100% wood waste (864 kg/cm 3 HWC).
Fig. 8. Scenario analysis: environmental impact for different doses of wood waste in wardrobe production When comparing scenarios 0 and 1, the potential impact of conventional MDF was minimized by 6.9% for the evaluated categories. The largest increase in the impact that occurred was in the TE (21.0%), followed by the POF (18.1%). From the dominant categories above, the CCH, PMF, FD, and HT increased by 16.6%, 16.6%, 16.2%, and 13.3%, respectively. When comparing scenarios 0 and 2, there was an overall minimization of the potential impacts of more than 22.7%. The largest increase in the impacts occurred for the POF (42.1%), followed by the HT (42.0%). When comparing scenarios 0 and 3, there was an overall minimization of the potential impacts of more than 38.0% because this
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Li et al . (2019 ). “Wardrobe case study in China,” B io R esources 14(2), 2740-2758.
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