Life cycle inventory dataset for energy production and storage technologies: Standardized metrics for environmental modeling

The presented dataset provides the results of a comprehensive inventory of Life Cycle Assessments (LCA) for multiple energy production and storage technologies. Unlike conventional LCA studies, which often provide case-specific data that are difficult to apply in the analysis and design of energy systems, this work delivers standardized values, expressed per unit of installed capacity (kW), and, where relevant, per unit of operational energy output (kWh). These normalized metrics are essential for the integration of environmental considerations into energy system modeling and optimization. The dataset is the result of a comprehensive review of peer-reviewed studies, institutional reports, industrial data, and existing LCA databases. Robust average values were derived by consolidating information from multiple sources, thereby addressing a key gap in the literature whereby heterogeneous and fragmented data can make their practical application problematic. Minimum and maximum estimates are also reported to characterize the variability across technologies and datasets, providing a more comprehensive understanding of the underlying uncertainty. Unlike existing LCA databases, which are often paywalls, and can have highly detailed but less accessible data, this method provides aggregated and user-friendly parameters that are ready for direct use. The inventory covers such technologies as photovoltaic systems, energy storage solutions, hydrogen production, internal combustion engines, boilers, heat pumps, and organic Rankine cycles, as well as energy carriers, including natural gas, electricity, hydrogen, and biomass. Environmental impacts are reported across multiple midpoint categories, such as the global warming potential, mineral and metal depletion, land and water use, particulate matter, acidification, eutrophication, ecotoxicity, ionizing radiation, human toxicity, and the ozone depletion potential. The dataset, which was drawn up according to International Reference Life Cycle Data System (ILCD), ReCiPe Life Cycle Impact Assessment Method (ReCiPe), and Intergovernmental Panel on Climate Change Global Warming Potential (IPCC GWP) guidelines, ensures consistency and comparability across technologies. Moreover, the dataset, which is provided as an open-access Excel Workbook, is readily applicable to environmental assessments, optimization studies, and energy planning in energy communities and smart grids, to support informed decisions for sustainable energy transitions.

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Publication Details

Journal
Data in Brief
Published
2025-05-14
DOI
https://doi.org/10.1016/j.dib.2025.111666
Citations
2
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
1.60
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article

Life cycle inventory dataset for energy production and storage technologies: Standardized metrics for environmental modeling

Elena Rozzi, Paolo Marocco, Marta Gandiglio
2 citations
Data in Brief
Environmental Impact and Sustainability
1.60
article

Life cycle inventory dataset for energy production and storage technologies: Standardized metrics for environmental modeling

Elena Rozzi, Paolo Marocco, Marta Gandiglio
article en
2 citations

Abstract

The presented dataset provides the results of a comprehensive inventory of Life Cycle Assessments (LCA) for multiple energy production and storage technologies. Unlike conventional LCA studies, which often provide case-specific data that are difficult to apply in the analysis and design of energy systems, this work delivers standardized values, expressed per unit of installed capacity (kW), and, where relevant, per unit of operational energy output (kWh). These normalized metrics are essential for the integration of environmental considerations into energy system modeling and optimization. The dataset is the result of a comprehensive review of peer-reviewed studies, institutional reports, industrial data, and existing LCA databases. Robust average values were derived by consolidating information from multiple sources, thereby addressing a key gap in the literature whereby heterogeneous and fragmented data can make their practical application problematic. Minimum and maximum estimates are also reported to characterize the variability across technologies and datasets, providing a more comprehensive understanding of the underlying uncertainty. Unlike existing LCA databases, which are often paywalls, and can have highly detailed but less accessible data, this method provides aggregated and user-friendly parameters that are ready for direct use. The inventory covers such technologies as photovoltaic systems, energy storage solutions, hydrogen production, internal combustion engines, boilers, heat pumps, and organic Rankine cycles, as well as energy carriers, including natural gas, electricity, hydrogen, and biomass. Environmental impacts are reported across multiple midpoint categories, such as the global warming potential, mineral and metal depletion, land and water use, particulate matter, acidification, eutrophication, ecotoxicity, ionizing radiation, human toxicity, and the ozone depletion potential. The dataset, which was drawn up according to International Reference Life Cycle Data System (ILCD), ReCiPe Life Cycle Impact Assessment Method (ReCiPe), and Intergovernmental Panel on Climate Change Global Warming Potential (IPCC GWP) guidelines, ensures consistency and comparability across technologies. Moreover, the dataset, which is provided as an open-access Excel Workbook, is readily applicable to environmental assessments, optimization studies, and energy planning in energy communities and smart grids, to support informed decisions for sustainable energy transitions.

Data in BriefVol. 60
Politecnico di Torino (IT)
Responsible consumption and production
Openalex Percentile: Top 18%
Environmental Impact and Sustainability
1.60
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