Key Data Set Information | |
Location | CY |
Reference year | 2016 |
Name |
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Use advice for data set | When utilizing this LCA dataset, users should note that the production of wheat straw and sawdust were not included in the environmental impact assessment since they are considered as waste residuals. For accurate assessment, users should apply the data within the context of the assumed mix and solar drying process, reflecting real-world scenarios. The reference unit for environmental performance comparison of adobe production is 1 kg per functional unit. It's crucial to maintain consistency with the functional unit for valid comparisons among different production systems, especially when tailoring this data to local environmental conditions and construction practices. |
Technical purpose of product or process | Adobe bricks, discussed in this LCA process, are primarily used for construction purposes. Specifically, these bricks can be used for building houses and other types of low-rise structures in areas where adobe construction is suitable due to climatic or historical reasons. They are environmentally favorable due to their use of waste residues like wheat straw and sawdust, and the employment of solar drying as part of the production process, minimizing energy demand. |
Classification |
Class name
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Hierarchy level
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General comment on data set | This project is the overall LCI process |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | 在本研究中,功能单位是每立方米的土坯砖。 |
Technological representativeness | |
Technology description including background system | For the purposes of this study, both wheat straw and sawdust were considered as waste residues. The former is assumed to be recovered during the harvesting process of wheat, while the latter is assumed to be a wood waste obtained from a saw mill. Thus, the production processes of wheat straw and sawdust were not taken into account during the LCA. However, pre-mixing processing for the reduction of the fibre size was applied in the scenarios where wheat straw was used. In all the aforementioned examined scenarios, the same quantity of mixing water was used during the modelling of the production systems in Gabi. Moreover, solar drying of the final product was applied; this significantly reduces the demand of energy for the whole production system of adobe bricks, but it is nevertheless representative of the real environmental effect of the adobe brick production process, both in Cyprus and worldwide, since adobes are not fired. |
Flow diagram(s) or picture(s) |
LCI method and allocation | |||||
Type of data set | LCI result | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviations from LCI method approaches / explanations | For the purposes of this study, the CML (2001) methodology, one of the most widely used impact assessment methodologies, was employed (Laurent et al., 2014). CML is the methodology of the Centre for Environmental Studies of the University of Leiden. It focuses on a series of environmental impact categories expressed in term of emissions to the environment. | ||||
Deviation from modelling constants / explanations | None | ||||
Data sources, treatment and representativeness | |||||
Deviation from data cut-off and completeness principles / explanations | None | ||||
Data selection and combination principles | The data selection description includes data collection and analysis of different production systems, as well as environmental impact assessment under different production scenarios. Data collection and analysis include measuring and calculating the consumption, emissions, and waste generation of resources such as soil, water, and energy. Environmental impact assessment includes the assessment of carbon emissions, water consumption, energy consumption, and waste generation under different production scenarios. These data selection explanations help evaluate the environmental impacts of different production systems and provide recommendations for decision-makers on how to reduce environmental impacts. | ||||
Deviation from data selection and combination principles / explanations | None | ||||
Deviation from data treatment and extrapolations principles / explanations | None | ||||
Data source(s) used for this data set | |||||
Sampling procedure | The data selection description includes data collection and analysis of different production systems, as well as environmental impact assessment under different production scenarios. Data collection and analysis include measuring and calculating the consumption, emissions, and waste generation of resources such as soil, water, and energy. Environmental impact assessment includes the assessment of carbon emissions, water consumption, energy consumption, and waste generation under different production scenarios. These data selection explanations help evaluate the environmental impacts of different production systems and provide recommendations for decision-makers on how to reduce environmental impacts. | ||||
Completeness | |||||
Completeness of product model | No statement | ||||
Validation | |||||
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Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2024-03-28T00:55:55+08:00 |
Publication and ownership | |
UUID | 30bb3be2-32c2-4795-a642-88c1635c75c8 |
Date of last revision | 2024-05-13T14:58:18.674818+08:00 |
Data set version | 01.00.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=30bb3be2-32c2-4795-a642-88c1635c75c8&version=01.00.000&stock=TianGong |
Owner of data set | |
Copyright | No |
License type | Free of charge for all users and uses |
Inputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Elementary flow | Resources / Resources from ground / Non-renewable material resources from ground | 0.955 kg | 0.955 kg | ||||||
Elementary flow | Resources / Resources from water / Renewable material resources from water | 0.388 m3 | 0.388 m3 | ||||||
Product flow | Materials production / Raw materials | 0.045 kg | 0.045 kg | ||||||
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Product flow | Energy carriers and technologies / Crude oil based fuels | 0.025776 kg | 0.025776 kg | ||||||
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Product flow | Energy carriers and technologies / Electricity | 2.1527999999999999E-4 MJ | 2.1527999999999999E-4 MJ | ||||||
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Product flow | Energy carriers and technologies / Electricity | 0.005004 MJ | 0.005004 MJ | ||||||
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Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount | ||
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Product flow | Materials production / Raw materials | 1.0 kg | 1.0 kg | ||||||
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Product flow | Wastes / Production residues | 0.388 kg | 0.388 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to urban air close to ground | 9.87E-7 kg | 9.87E-7 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to urban air close to ground | 0.00169 kg | 0.00169 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to lower stratosphere and upper troposphere | 3.36E-6 kg | 3.36E-6 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 1.48E-6 kg | 1.48E-6 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 9.43E-6 kg | 9.43E-6 kg | ||||||
Product flow | Energy carriers and technologies / Electricity | 0.00534 MJ | 0.00534 MJ | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 1.25E-7 kg | 1.25E-7 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 2.16E-7 kg | 2.16E-7 kg | ||||||
Elementary flow | Emissions / Emissions to air / Emissions to air, unspecified | 8.99E-6 kg | 8.99E-6 kg |