Rozzi Elena, Marocco Paolo, Gandiglio Marta
Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.
Energy Center Lab, Politecnico di Torino, Via Paolo Borsellino, 38, 10138 Torino, Italy.
Data Brief. 2025 May 14;60:111666. doi: 10.1016/j.dib.2025.111666. eCollection 2025 Jun.
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.
所展示的数据集提供了多种能源生产和存储技术的生命周期评估（LCA）全面清单的结果。与传统的LCA研究不同，传统研究通常提供特定案例的数据，难以应用于能源系统的分析和设计，而这项工作提供了标准化值，以每单位装机容量（kW）表示，以及在相关情况下以每单位运营能量输出（kWh）表示。这些标准化指标对于将环境因素纳入能源系统建模和优化至关重要。该数据集是对同行评审研究、机构报告、行业数据和现有LCA数据库进行全面审查的结果。通过整合来自多个来源的信息得出了可靠的平均值，从而解决了文献中的一个关键差距，即异构和分散的数据会使其实际应用存在问题。还报告了最小值和最大值估计，以表征不同技术和数据集之间的变异性，从而更全面地了解潜在的不确定性。与现有的LCA数据库不同，现有数据库通常设有付费墙，数据可能非常详细但难以获取，这种方法提供了汇总的、用户友好的参数，可供直接使用。该清单涵盖了光伏系统、储能解决方案、制氢、内燃机、锅炉、热泵和有机朗肯循环等技术，以及包括天然气、电力、氢气和生物质在内的能源载体。报告了多个中点类别的环境影响，如全球变暖潜能值、矿物和金属耗竭、土地和水的使用、颗粒物、酸化、富营养化、生态毒性、电离辐射、人体毒性和臭氧消耗潜能值。该数据集是根据国际参考生命周期数据系统（ILCD）、ReCiPe生命周期影响评估方法（ReCiPe）和政府间气候变化专门委员会全球变暖潜能值（IPCC GWP）指南编制的，确保了不同技术之间的一致性和可比性。此外，该数据集以开放获取的Excel工作簿形式提供，可直接应用于能源社区和智能电网的环境评估、优化研究和能源规划，以支持可持续能源转型的明智决策。
