Key Data Set Information | |
Location | DK |
Geographical representativeness description | The data collection for the LCA was conducted for a smaller (180 m2) site representing typical Danish sites where remediation using ISTD has been conducted. |
Reference year | 2013 |
Name |
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Use advice for data set | This dataset should be used with understanding that it is specific to a small-scale (180 m2) typical Danish site where ISTD remediation using ET-DSP has been applied. The LCA data collection covers energy and material consumption, equipment use during construction and transportation activities, well field materials construction, capping materials, air and water treatment systems, and electricity consumption. Please ensure the correct application of this LCA data in the broader context of remediation project planning, taking into account variations in geographies, climates, and regulatory environments. Furthermore, translation of these results to other sites should account for differences in site size, contaminant concentration, and subsurface conditions. |
Technical purpose of product or process | The Electro-Thermal Dynamic Stripping Process (ET-DSP) is used for in situ soil remediation at sites with low-permeability contaminant zones. This technique is applied particularly for the extraction and removal of high concentrations of volatile contaminants like perchloroethylene (PCE), which is a common solvent in dry cleaning and industrial degreasing operations. |
Classification |
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Hierarchy level
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General comment on data set | From Table 1 of the literature (Overview of Test Sites Used as a Basis for Data Collection), it can be seen that, the area and volume of the small site are 180 m2 and 1175 m3. Mass of contaminant is 400 kg of PCE. |
Copyright | No |
Owner of data set | |
Quantitative reference | |
Reference flow(s) |
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Functional Unit | Results are presented per unit volume (1 m3 ) of soil remediated in order to compare results for each site. |
Technological representativeness | |
Technology description including background system | ET-DSP™ places steel electrodes in the wells, applied to a low-permeability contaminant source zone. soil is heated to around 100 °C to enhance the volatilization of the chlorinated solvents. In this study, the solvent vapors are assumed to be continuously extracted from the subsurface under vacuum and treated above ground in an activated carbon air filtration unit and, as a proportion of the extracted vapors also condense, the condensed aqueous phase is treated in a separate activated carbon water filtration unit. A vapor cap of 40 cm foam concrete is installed above the heated zone in order to prevent intrusion of rain, create a vapor-tight seal to the surface and to reduce heat loss to the atmosphere. All technologies require the installation of a number of wells to generate soil heating as well as extraction wells. |
Flow diagram(s) or picture(s) |
LCI method and allocation | |||||
Type of data set | Unit process, black box | ||||
Deviation from LCI method principle / explanations | None | ||||
Deviation from modelling constants / explanations | None | ||||
Data sources, treatment and representativeness | |||||
Deviation from data cut-off and completeness principles / explanations | None | ||||
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 | |||||
Completeness | |||||
Completeness of product model | No statement | ||||
???common.completenessOtherProblemField??? | As a basis for the LCA, a systematic data collection phase has been carried out in order to establish a baseline dataset for each remediation technology in terms of energy and material consumption, as well as the use of equipment during construction and transportation activities. The assessment covers all aspects of the remediation projects, for example, the well field materials and the establishment of the well field, the capping materials, the air and water treatment systems, the electricity consumption and the transportation of materials and personnel. | ||||
Validation | |||||
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Data generator | |
Data set generator / modeller | |
Data entry by | |
Time stamp (last saved) | 2024-05-09T15:42:18+08:00 |
Publication and ownership | |
UUID | 47d44fe3-0bf1-4d29-b2eb-3b1f84206ce2 |
Date of last revision | 2024-05-13T14:45:26.237348+08:00 |
Data set version | 01.00.005 |
Permanent data set URI | https://lcadata.tiangong.world/showProcess.xhtml?uuid=47d44fe3-0bf1-4d29-b2eb-3b1f84206ce2&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 |
---|---|---|---|---|---|---|---|
Product flow | Transport services / Other transport | 1.4503E7 kg | 1.4503E7 kg | ||||
Product flow | Transport services / Other transport | 5.76E7 kg | 5.76E7 kg | ||||
Product flow | Transport services / Other transport | 52245.0 kg | 52245.0 kg | ||||
Product flow | Transport services / Other transport | 6151680.0 kg | 6151680.0 kg | ||||
Product flow | Transport services / Other transport | 806008.0 kg | 806008.0 kg | ||||
Product flow | Transport services / Other transport | 1080000.0 kg | 1080000.0 kg | ||||
Product flow | Transport services / Other transport | 8.568E7 kg | 8.568E7 kg | ||||
Product flow | Transport services / Other transport | 9.18E7 kg | 9.18E7 kg | ||||
Product flow | Transport services / Other transport | 90000.0 kg | 90000.0 kg | ||||
Product flow | Transport services / Other transport | 7200000.0 kg | 7200000.0 kg | ||||
Product flow | Transport services / Other transport | 4200000.0 kg | 4200000.0 kg | ||||
Product flow | Transport services / Other transport | 4500000.0 kg | 4500000.0 kg | ||||
Product flow | Energy carriers and technologies / Electricity | 601200.0 MJ | 601200.0 MJ | ||||
Product flow | Energy carriers and technologies / Electricity | 1810800.0 MJ | 1810800.0 MJ | ||||
Product flow | Energy carriers and technologies / Crude oil based fuels | 1.7690000000000001 kg | 1.7690000000000001 kg | ||||
Elementary flow | Resources / Resources from ground / Non-renewable material resources from ground | 5427.0 kg | 5427.0 kg | ||||
Product flow | Materials production / Other materials | 1720.0 kg | 1720.0 kg | ||||
Product flow | Systems / Construction | 41600.0 kg | 41600.0 kg | ||||
Product flow | Materials production / Raw materials | 2484.0 kg | 2484.0 kg | ||||
Product flow | Materials production / Raw materials | 1620.0 kg | 1620.0 kg | ||||
Product flow | Materials production / Metals and semimetals | 5239.0 kg | 5239.0 kg | ||||
Product flow | Materials production / Metals and semimetals | 688.0 kg | 688.0 kg | ||||
Product flow | Materials production / Metals and semimetals | 473.0 kg | 473.0 kg | ||||
Product flow | Materials production / Metals and semimetals | 75.0 m3 | 75.0 m3 | ||||
Product flow | Materials production / Metals and semimetals | 75.0 kg | 75.0 kg | ||||
Product flow | Materials production / Plastics | 220.0 kg | 220.0 kg | ||||
Product flow | Materials production / Plastics | 799.0 kg | 799.0 kg | ||||
Product flow | Materials production / Other materials | 1175.0 m3 | 1175.0 m3 |
Outputs
Type of flow | Classification | Flow | Location | Mean amount | Resulting amount | Minimum amount | Maximum amount |
---|---|---|---|---|---|---|---|
Product flow | Materials production / Other materials | 1175.0 m3 | 1175.0 m3 |