Quantification of Greenhouse Gas Emissions from Wood-Plastic Recycled Composite (WPRC) and Verification of the Effect of Reducing Emissions through Multiple Recycling

Wood-plastic recycled composite (WPRC) is a building material that uses certain amounts of recycled wood and/or plastic materials contained in wood-plastic composites. They are characterized by multiple recycling processes in which products that become post-consumer materials are technically able to be recycled to produce WPRC products. However, there is no research case that quantifies the effect of reducing greenhouse gas (GHG) emissions for the feature of multiple recycling. In this study, we quantified GHG emissions during the life cycle of WPRC that was manufactured by companies certified to the Japanese Industrial Standard (JIS) A 5741, using the life cycle assessment method. The following conclusions were revealed in this study. (1) The GHG emission of the targeted WPRC was 3489 kg-CO2e/t, and the emission rates from the WPRC production process and the combustion of WPRC waste were found to be particularly high. (2) It was found that setting the recycled material rate of plastic materials to 100% would reduce GHG emissions by 28% (1316 kg-CO2e/t) compared to when the recycled material rate was 0%. (3) It was also found that GHG emissions can be reduced by up to about 28% by multiple recycling of WPRC. It can be said that this study set a benchmark of GHG emissions for WPRC produced in Japan.

Therefore, in this study, we quantified GHG emissions during the life cycle of WPRC manufactured by JIS A 5741-certified companies. In addition, we conducted a simulation showing changes in GHG emissions when the mixing rate of recycled materials was changed and verified the effects of the mixing rate of recycled materials on GHG emissions. Furthermore, to clarify the GHG emission reduction effect of multiple recycling, multiple scenarios were simulated and GHG emissions in each scenario were compared.

Evaluation of GHG Emissions from the Life Cycle per Ton of WPRC Products
GHG emissions from the WPRC life cycle were calculated using the LCA method. The evaluation targets were WPRC products manufactured by four companies that acquired the JIS A 5741 certification, and the functional unit was one ton of these products. This is because the shape of the product varied depending on the manufacturing companies, so setting the basic unit as weight was most appropriate. The system boundary was from the cradle to the grave. Figure 1 shows the life cycle flow diagram. The shapes of wood-based and plastic-based raw materials upon arrival at the factory during the raw material procurement step differed depending on each company. Therefore, in Figure 1, each company is denoted as Pattern A (1 company), Pattern B (2 companies), and Pattern C (1 company).
Sustainability 2020, 12, x FOR PEER REVIEW 3 of 13 and GHG emissions from WPRC based on JIS standards have not been quantified. In addition, there is no research case quantifying the effect of reducing GHG emissions through multiple recycling. Therefore, in this study, we quantified GHG emissions during the life cycle of WPRC manufactured by JIS A 5741-certified companies. In addition, we conducted a simulation showing changes in GHG emissions when the mixing rate of recycled materials was changed and verified the effects of the mixing rate of recycled materials on GHG emissions. Furthermore, to clarify the GHG emission reduction effect of multiple recycling, multiple scenarios were simulated and GHG emissions in each scenario were compared.

Evaluation of GHG Emissions from the Life Cycle per Ton of WPRC Products
GHG emissions from the WPRC life cycle were calculated using the LCA method. The evaluation targets were WPRC products manufactured by four companies that acquired the JIS A 5741 certification, and the functional unit was one ton of these products. This is because the shape of the product varied depending on the manufacturing companies, so setting the basic unit as weight was most appropriate. The system boundary was from the cradle to the grave. Figure 1 shows the life cycle flow diagram. The shapes of wood-based and plastic-based raw materials upon arrival at the factory during the raw material procurement step differed depending on each company. Therefore, in Figure 1, each company is denoted as Pattern A (1 company), Pattern B (2 companies), and Pattern C (1 company). This section explains data collection during each process. Foreground data were collected as much as possible through interviews with the four companies being evaluated. For those processes where foreground data could not be collected, conditions were set based on the scenario and background data that seemed reasonable. The data were collected for one year from April 2016 to March 2017.

Distribution and Sales step
Use and Maintenance step * Since the processes related to the production and supply of "fuel", "electric power", "water supply" and "industrial water" are common to all life cycle stages, they are omitted from the flow diagram.  This section explains data collection during each process. Foreground data were collected as much as possible through interviews with the four companies being evaluated. For those processes where foreground data could not be collected, conditions were set based on the scenario and background data that seemed reasonable. The data were collected for one year from April 2016 to March 2017.

Evaluation of GHG Emissions When the Recycling Rate of Plastic-Based Raw Materials Is Changed
JIS A 5741 defines the recycling rate of raw materials as 40% or more, and WPRC available in the market has various recycling rates. However, in most cases, recycled materials such as building demolition materials, wood shavings generated at sawmill, and timber from forest thinning are used as wood-based raw materials, and virgin materials are not included. Therefore, in this study, Sustainability 2020, 12, 2449 4 of 13 all wood-based raw materials were considered recycled materials, and the GHG emissions were estimated by changing the recycling rate of plastic-based raw materials. All other raw materials such as pigments and additives were virgin materials.

GHG Emission Reduction Effect by Multiple Recycling of Used WPRC
WPRC has the advantage of "multiple recycling" in that we can collect used products such as deck materials and repeatedly use them as raw materials for WPRC. In evaluating the GHG emission reduction effect resulting from this multiple recycling, we referred to the evaluation scope proposed by Wada et al. [23]. Then, the evaluation range was set as shown in Figure 2, and the GHG emissions from WPRC were calculated. The life cycle flow of product A in the multiple recycling case presented in Figure 2 was assumed to occur as shown in Figure 1; the life cycle flow of product B was set as shown in Figure 3, and data were collected. The data collection method for each process was the same as that explained in Section 2.1. JIS A 5741 defines the recycling rate of raw materials as 40% or more, and WPRC available in the market has various recycling rates. However, in most cases, recycled materials such as building demolition materials, wood shavings generated at sawmill, and timber from forest thinning are used as wood-based raw materials, and virgin materials are not included. Therefore, in this study, all wood-based raw materials were considered recycled materials, and the GHG emissions were estimated by changing the recycling rate of plastic-based raw materials. All other raw materials such as pigments and additives were virgin materials.

GHG Emission Reduction Effect by Multiple Recycling of Used WPRC
WPRC has the advantage of "multiple recycling" in that we can collect used products such as deck materials and repeatedly use them as raw materials for WPRC. In evaluating the GHG emission reduction effect resulting from this multiple recycling, we referred to the evaluation scope proposed by Wada et al. [23]. Then, the evaluation range was set as shown in Figure 2, and the GHG emissions from WPRC were calculated. The life cycle flow of product A in the multiple recycling case presented in Figure 2 was assumed to occur as shown in Figure 1; the life cycle flow of product B was set as shown in Figure 3, and data were collected. The data collection method for each process was the same as that explained in Section 2.1.  In the multiple recycling cases, scenario 1 was first established in which all the used WPRC materials generated in the "disposal and recycling step" in the life cycle of product A were recycled

Recycled pellet Transport
Legends * Since the processes related to the production and supply of "fuel", "electric power", "water supply" and "industrial water" are common to all life cycle stages, they are omitted from the flow diagram.

Product or Input resources or Emission
Foreground data collection process Process outside the system boundary Process combining foreground data and scenarios Background data collection process

Evaluation of GHG Emissions When the Recycling Rate of Plastic-Based Raw Materials Is Changed
JIS A 5741 defines the recycling rate of raw materials as 40% or more, and WPRC available in the market has various recycling rates. However, in most cases, recycled materials such as building demolition materials, wood shavings generated at sawmill, and timber from forest thinning are used as wood-based raw materials, and virgin materials are not included. Therefore, in this study, all wood-based raw materials were considered recycled materials, and the GHG emissions were estimated by changing the recycling rate of plastic-based raw materials. All other raw materials such as pigments and additives were virgin materials.

GHG Emission Reduction Effect by Multiple Recycling of Used WPRC
WPRC has the advantage of "multiple recycling" in that we can collect used products such as deck materials and repeatedly use them as raw materials for WPRC. In evaluating the GHG emission reduction effect resulting from this multiple recycling, we referred to the evaluation scope proposed by Wada et al. [23]. Then, the evaluation range was set as shown in Figure 2, and the GHG emissions from WPRC were calculated. The life cycle flow of product A in the multiple recycling case presented in Figure 2 was assumed to occur as shown in Figure 1; the life cycle flow of product B was set as shown in Figure 3, and data were collected. The data collection method for each process was the same as that explained in Section 2.1.  In the multiple recycling cases, scenario 1 was first established in which all the used WPRC materials generated in the "disposal and recycling step" in the life cycle of product A were recycled

Recycled pellet Transport
Legends * Since the processes related to the production and supply of "fuel", "electric power", "water supply" and "industrial water" are common to all life cycle stages, they are omitted from the flow diagram.

Product or Input resources or Emission
Foreground data collection process Process outside the system boundary Process combining foreground data and scenarios Background data collection process In the multiple recycling cases, scenario 1 was first established in which all the used WPRC materials generated in the "disposal and recycling step" in the life cycle of product A were recycled as raw materials, except for those that were landfilled. Next, it was assumed that some of the used WPRC had degraded quality and some were difficult to recover owing to problems in the construction environment. Therefore, scenario 2 was established in which 50% of the used WPRC were recovered and recycled. In addition, for comparison, scenario 3 was set considering the case without multiple recycling, representing the current situation. By comparing the GHG emissions between these scenarios, we examined the effects of multiple recycling on GHG emission reduction. Table 1 presents the life cycle inventory per ton of WPRC products obtained using the data provided by the target companies. The values in the table are weighted average values obtained by weighting the data obtained from the four companies by the annual production of WPRC products. The alphabets listed in the "Corresponding Figure 1 process" column are linked to those in the Figure 1 process. The production and transport processes for mixed pellets are included in the procurement process for wood-based raw materials. This is because much of the energy consumed in the mixed pellet production process is used to produce wood flour from wood-based materials. The various steps in the WPRC product life cycle are discussed below.

Raw Material Production Step
Foreground data were obtained for the type and input of each raw material. As a result, the wood-based raw materials, plastic-based raw materials, and pigments and additives to produce WPRC were blended in the ratio 47:43:10.
In addition, the recycling rate of the WPRC targeted in this study was approximately 86%. The breakdown is that 100% of the wood-based raw materials were recycled materials, with approximately 91% of the plastic-based raw materials being recycled materials. Since no foreground data were obtained for the ratio of recycled materials of pigments and additives, all were set as virgin materials (recycled material ratio 0%). Table 1 shows the types of resources used as additives and pigments.
For each transportation process, foreground data on the location of each raw material dealer were collected. Further, the shortest distance was identified by searching the distance between the store and WPRC production base using Google Maps. As for the means of transportation, part of c) transport in Figure 1 was railway transportation. The rest was truck transport. We also collected information on truck standards but could not obtain accurate information except that some of a) transport and e) transport in Figure 1 was with 2 ton trucks. Therefore, the scenario from wood-plastic composite (PA-CB-01) in the Carbon Footprint Product Criteria for Carbon Foot Communication Program (CFP-Program) [24] was used. The CFP program is a system for displaying GHG emissions from the life cycle of products and services implemented in Japan. In this scenario, if foreground data Sustainability 2020, 12, 2449 7 of 13 cannot be obtained, domestic transportation can assume the use of a 10 ton truck and a loading rate of 50%. The homeward path was also included in the system boundary with a loading rate of 0%. For truck loading rates, a lower loading rate was used if foreground data were not available, to avoid underestimating the analysis results. The same applies when adopting a scenario below.

Product Manufacturing Step
For producing the product in the product manufacturing step, in general, a compounding step of melting and mixing a wood-based raw material, a plastic-based raw material, a pigment, an additive, and the like is first performed, and then the process is shifted to an extrusion molding step.
Foreground data were collected on the resources and waste generated in this process based on the data provided by each company and interviews.
Regarding the treatment of waste generated in the product manufacturing step, waste types and emissions were calculated based on data provided by each company. Foreground data on disposal and recycling methods could not be collected, so data from the Ministry of the Environment was cited [25]. In other words, 78.5% of the generated waste was incinerated, 1.1% was directly landfilled, and 20.4% was recycled. CO 2 emissions from incineration were counted from plastic-based raw materials, but those from wood-based materials were not counted as carbon neutral. Regarding the transport process of waste, the scenario from wood-plastic composite (PA-CB-01) [24] among carbon footprint product type standards in the CFP-Program is quoted as "2 ton truck, transport distance 100 km, loading rate 25%". The homeward path was also within the system boundary with a loading rate of 0%. The waste transport distance was set based on the assumption that the WPRC manufacturing company and waste disposal facility were in the same prefecture.

Distribution and Sales Step
Regarding the transportation process in the distribution and sales step, it was difficult for any company to specify the distribution routes from the WPRC production base because they were diverse and national. Therefore, the transportation scenario from wood-plastic composite (PA-CB-01) [24] was established involving the following conditions: 10 ton truck, transportation distance of 1000 km, and loading rate of 50%. The product transport distance was twice as long as the road distance (about 500 km) between Tokyo and Osaka, the major cities in Japan. This is a reasonable setting for nationwide sales of products.

Use and Maintenance Step
For the construction process, we collected data on the usage time of electrical equipment when fabricating WPRC as deck materials from each company. The power consumption when producing one ton of products was calculated from the average power consumption of the electrical equipment. For usage process, during the usage period, maintenance was not performed, and we did not consider input resources and emissions during this step.

Disposal and Ready for Recycling Step
For waste treatment scenarios, as the foreground data could not be collected, the processing situation in the data of the Ministry of the Environment [25] was considered as in Section 3.1.2. In other words, 78.5% of the generated waste was incinerated, 1.1% was directly landfilled, and 20.4% was recycled. CO 2 emissions from incineration were counted from plastic-based raw materials, but those from wood-based were not counted as carbon neutral. Regarding the transportation process, a scenario was quoted from wood-plastic composite (PA-CB-01) [24], and it was set as "2 ton truck, transportation distance 50 km, loading rate 50%". The homeward path was also within the system boundary with a loading rate of 0%. The waste transport distance was set based on the assumption that the WPRC manufacturing company and waste disposal facility were in the same prefecture. It was shorter than the transport distance between the WPRC Sustainability 2020, 12, 2449 8 of 13 manufacturing company and the waste disposal facility set in Section 3.1.2. This was because WPRC manufacturing companies are often located away from urban areas.

GHG Emissions from the Life Cycle per Ton of WPRC Products
The inventory data presented in Table 1 were multiplied by the GHG emission intensity, and the GHG emissions (kg-CO 2 e/t) were calculated using the build-up method. The results are given in Table 2. The GHG emission intensity was calculated mainly using IDEA v2.2, a life cycle inventory database. IDEA v2.2 is provided by the Society and LCA Research Group of the National Institute of Advanced Industrial Science and Technology (AIST), the Safety Science Research Institute, and the Japan Environmental Management Association for Industry (JEMAI). This database covers the economic activities of all businesses (excluding some services) in Japan. It also strongly supports LCA with a resolution of 3800 or more data sets [26]. Table 2. WPRC greenhouse gas (GHG emissions) (per ton of product) (source: author's elaboration). Step

Raw material production
Wood-based raw material The GHG emission during the life cycle of one ton of WPRC products was 3489 kg-CO 2 e/t. The unit "CO 2 e" means CO 2 equivalent, and indicates that various GHG emissions were converted to CO 2 using the global warming potential.
Philipp et al. set the GHG emissions from WPRC for modules A1-A3 in the system boundary of cradle to gate, in accordance with EN 15804 and EN 16485, at 780 kg-CO 2 e/t [21]. The setting scenario was "Recycled materials are used for both wood-based and plastic-based materials, and the mass rate of wood is 58%". The setting conditions were close to those in our study. A simple comparison cannot be made, due to differences in the calculation conditions between the previous study and this study, but GHG emissions within the same system boundary are 1920 kg-CO 2 e/t in this study, which is about 2.5 times higher than that in the previous study. The reason is that in the previous study, the electricity used in the WPRC production process was derived from renewable energy composed of hydropower and biomass energy, whereas in this study, the GHG emission intensity of electricity in Japan was used. Fossil fuels such as coal, oil, and natural gas account for over 70% of Japan's power mix. This difference in GHG emission intensity from electric power has a great effect.
It was found that emissions from the product manufacturing step and disposal and ready for recycling step were the highest, accounting for approximately 1/3 of the total emissions. Emissions Sustainability 2020, 12, 2449 9 of 13 during the product manufacturing step accounted for a large percentage of the entire life cycle; moreover, it was found that the efficiency and energy saving potential of the production line in the factory significantly contributed reductions in GHG emissions. In addition, the proportion of emissions from combustion of waste was high. Thus, GHG emissions could be reduced by reducing the rate of incineration and increasing the rate of recycling.

GHG Emissions When the Recycling Rate of Plastic-Based Raw Materials Is Changed
Based on the results of the WPRC life cycle inventory discussed in Section 3.1, the recycling rate of the plastic-based raw materials that were input was changed, as mentioned in Table 3, to verify its effect on GHG emissions. It was assumed that the wood-based raw materials had a recycling rate of 100%, and the wood-based raw materials, plastic-based raw materials, and the pigments and additives were mixed in the ratio 47:43:10. Table 3. Simulation pattern of recycling rate of plastic-based raw materials (source: author's elaboration). Note: Pattern 2 is the subject of this research. All wood-based raw materials are recycled materials, and all pigments and additives are virgin materials. The mixing rate of wood-based raw materials, plastic-based raw materials, and pigments and additives is 47:43:10.

Pattern Recycling Rate of Plastic-Based Raw Materials (%) Recycling Rate of the Entire Product (%)
The results are shown in Figure 4. When the recycling rate is 100% (Pattern 1), the GHG emission from the WPRC was 3363 kg-CO 2 e/t, the lowest among all patterns. When this result was compared with Pattern 7 (only wood-based materials were considered recycled materials) where the GHG emissions were the largest, it was found that Pattern 1 had only approximately 75% of the GHG emissions observed in Pattern 7.
Sustainability 2020, 12, x FOR PEER REVIEW 9 of 13 Table 3. Simulation pattern of recycling rate of plastic-based raw materials (source: author's elaboration).

Recycling rate of plastic-based raw materials (%)
Recycling rate of the entire product (%)  1  100  90  2  91  86  3  77  80  4  53  70  5  30  60  6  7  50  7  0  47 Note: Pattern 2 is the subject of this research. All wood-based raw materials are recycled materials, and all pigments and additives are virgin materials. The mixing rate of wood-based raw materials, plastic-based raw materials, and pigments and additives is 47:43:10.
The results are shown in Figure 4. When the recycling rate is 100% (Pattern 1), the GHG emission from the WPRC was 3363 kg-CO2e/t, the lowest among all patterns. When this result was compared with Pattern 7 (only wood-based materials were considered recycled materials) where the GHG emissions were the largest, it was found that Pattern 1 had only approximately 75% of the GHG emissions observed in Pattern 7. As mentioned in Section 2.2, JIS A 5741 defines the recycling rate of raw materials as 40% or more. Therefore, even when only the virgin material is used as the plastic raw material as in Pattern 7, the definition of WPRC is applicable. However, as there is a large difference in GHG emissions between the case of actively using plastic-based materials for recycling and the case of not using them, it is necessary to increase the recycling rate of plastic-based raw materials.  As mentioned in Section 2.2, JIS A 5741 defines the recycling rate of raw materials as 40% or more. Therefore, even when only the virgin material is used as the plastic raw material as in Pattern 7, the definition of WPRC is applicable. However, as there is a large difference in GHG emissions between the case of actively using plastic-based materials for recycling and the case of not using them, it is necessary to increase the recycling rate of plastic-based raw materials.

Life Cycle Inventory per Ton of WPRC Products
The disposal method of used WPRC generated in the disposal and ready for recycling step in life cycle flows of product A ( Figure 1) and product B (Figure 3) was set as follows with reference to the Ministry of the Environment data [25]. The waste in scenario 1 is 98.9% recycled and 1.1% landfilled, while that in scenario 2 is 50% recycled, 48.9% incinerated, and 1.1% landfilled.
Based on the above findings, Table 4 presents the inventory data per ton of WPRC products collected for the life cycle flow (Figure 3) of product B in the multiple recycling case (scenarios 1 scenario 2). In scenarios 1 and 2, the WPRC recycled raw material procurement process replaces the wood-based raw material procurement process and plastic-based raw material procurement process in the raw material production step of the life cycle of product B. The product manufacturing, distribution and sales, and use and maintenance steps are the same as those described in Table 1 and are thus not mentioned again in Table 4. In the raw material production step, recycled pellets were produced from used WPRC products after collection and sorting. Regarding the transportation of recycled pellets, distribution beyond the borders of prefectures was assumed both in the transportation process of WPRC products to the recycled pellet production base and in that from the recycled pellet production base to the WPRC production base. For this reason, the transport conditions were set as follows based on literature: transportation distance of 500 km and truck transport (10 ton truck, loading rate 50%) [24]. The homeward path was included in the system boundary. The inventory data of product A in scenarios 1 and 2 and the inventory data in scenario 3 are the same as those described in Section 2.1. Figure 5 shows the results of calculating the GHG emissions (kg-CO 2 e/t) by multiplying the collected inventory data by the GHG emission intensity using the build-up method. The GHG emissions were 5002 kg-CO 2 e/t for scenario 1, 6316 kg-CO 2 e/t for scenario 2, and 6971 kg-CO 2 e/t for scenario 3.  Figure 5 shows the results of calculating the GHG emissions (kg-CO2e/t) by multiplying the collected inventory data by the GHG emission intensity using the build-up method. The GHG emissions were 5002 kg-CO2e/t for scenario 1, 6316 kg-CO2e/t for scenario 2, and 6971 kg-CO2e/t for scenario 3. From these results, it is evident that scenario 1 has a GHG emission reduction effect of approximately 28% compared to scenario 3, and scenario 2 has an effect of approximately 9%. As clarified in Section 3.2, GHG emissions from combustion of waste during incineration account for a large percentage of the total GHG emissions. Therefore, the reduction in the proportion of used WPRC subjected to incineration owing to multiple recycling significantly contributed to the reduction in GHG emissions.

GHG Emission Reduction Effect by Multiple Recycling
However, when comparing the raw material procurement stage of product B between scenarios, the GHG emission in scenario 3 was approximately 744 kg-CO2e/t, whereas it was 933 kg-CO2e/t in scenario 1 and 2. In other words, the GHG emissions in the multiple recycling cases are larger. In particular, in scenario 1, the GHG emissions from the raw material procurement stage of product B account for approximately 19% of the total emissions; thus, the impact is significant. This is partly because long-distance transportation scenarios involve crossing the borders of prefectures during transportation. When implementing a multiple recycling system, it is important to consider efficient transportation to collect used WPRC products to reduce GHG emissions.

Conclusion
This study targeted WPRC products manufactured by companies that have acquired the JIS A 5741 certification. It quantified the GHG emissions from the life cycle of these products, evaluated the effect of the mixing rate of recycled materials on GHG emissions, and analyzed the GHG emission reduction effect resulting from multiple recycling. The following conclusions could be drawn from the findings of this study: 1. The GHG emission during the life cycle of the targeted WPRC materials was 3489 kg-CO2e/t, and the ratio of the emission from the product manufacturing process in the product  From these results, it is evident that scenario 1 has a GHG emission reduction effect of approximately 28% compared to scenario 3, and scenario 2 has an effect of approximately 9%. As clarified in Section 3.2, GHG emissions from combustion of waste during incineration account for a large percentage of the total GHG emissions. Therefore, the reduction in the proportion of used WPRC subjected to incineration owing to multiple recycling significantly contributed to the reduction in GHG emissions.
However, when comparing the raw material procurement stage of product B between scenarios, the GHG emission in scenario 3 was approximately 744 kg-CO 2 e/t, whereas it was 933 kg-CO 2 e/t in scenario 1 and 2. In other words, the GHG emissions in the multiple recycling cases are larger. In particular, in scenario 1, the GHG emissions from the raw material procurement stage of product B account for approximately 19% of the total emissions; thus, the impact is significant. This is partly because long-distance transportation scenarios involve crossing the borders of prefectures during transportation. When implementing a multiple recycling system, it is important to consider efficient transportation to collect used WPRC products to reduce GHG emissions.

Conclusions
This study targeted WPRC products manufactured by companies that have acquired the JIS A 5741 certification. It quantified the GHG emissions from the life cycle of these products, evaluated the effect of the mixing rate of recycled materials on GHG emissions, and analyzed the GHG emission reduction effect resulting from multiple recycling. The following conclusions could be drawn from the findings of this study:

1.
The GHG emission during the life cycle of the targeted WPRC materials was 3489 kg-CO2e/t, and the ratio of the emission from the product manufacturing process in the product manufacturing step and the combustion of waste process in the disposal and ready for recycling step was found to be particularly high.

2.
For the raw materials used in the preparation of WPRC, GHG emissions were calculated assuming that the recycling rate of wood-based materials was 100%, but the recycling rate of plastic-based materials fluctuated between 0% and 100%. It was found that setting the recycled material rate of plastic materials to 100% would reduce GHG emissions by 28% (1316 kg-CO 2 e/t) compared to when the recycled material rate was 0%. 3.
We found that GHG emissions can be reduced by up to approximately 28% through multiple recycling of WPRC. In the multiple recycling cases, GHG emissions from the disposal of used WPRC could be significantly reduced, while emissions from the transportation process of the used WPRC were relatively large.
Through this study, we were able to quantify the environmental performance of WPRC whose quality was standardized by the JIS from the viewpoint of GHG emissions. The results of this study are based on data provided by all Japanese companies that have acquired JIS certification for WPRC. This is a benchmark for GHG emissions from WPRC products made in Japan and is an important achievement for determining the direction of GHG emission reduction measures for the entire industry.
Finally, in the future, if a WPRC manufacturing company considers expanding product sales based on research results, it will be necessary to obtain a type II environmental label, such as EPD (Environmental Product Declaration). Furthermore, to implement multiple recycling of WPRC in society, it is necessary to construct a system for collecting and recycling raw WPRC. This is a future issue to be solved socially.