Life cycle assessment of electricity generation: A systematic review of spatiotemporal methods

Advances in Applied Energy

Edeltraud Guenther¹  Cory Combs²  Sarah M. Jordaan³ 

[1] Corresponding author at: School of Advanced International Studies, Johns Hopkins University, 1740 Massachusetts Avenue, N.W., Washington 20036, United States.;Department of Environmental Health and Engineering, Whiting School of Engineering, 3400 N Charles St, Baltimore, MD 21218;School of Advanced International Studies, Johns Hopkins University, 1740 Massachusetts Ave NW, Washington, DC, 20036, USA;

关键词: Life cycle assessment;    Spatiotemporal;    Spatial resolution;    Temporal resolution;    Electricity generation;    Energy technology;   

DOI  :  

来源: DOAJ

【 摘 要 】

Life cycle assessments (LCAs) of electricity generation are increasingly incorporating more granular spatial and temporal information, enhancing the accuracy of both inventories and results. This systematic review determined contributions to LCA that improved spatial, temporal, or spatiotemporal resolution from 2009-2018. We analyzed 251 articles screened from an initial review of 6,519 to identify such contributions and determine areas in need of research. The geographic focus of the studies leans towards Europe, Asia, and North America, suggesting many regions remain understudied. As the impact categories were heavily weighted towards greenhouse gas emissions, the impacts that may benefit most from more granular analyses reflecting local environmental conditions were less studied (e.g., land use and eutrophication). While studies tend to focus more on spatial rather than temporal information, those that examine the most granular spatial and temporal scales (for this review, site and hourly) can result in more effective interventions that improve both environmental and economic outcomes. The two most common analysis tools used in the screened articles were optimization and Geographic Information Systems. The increasing use of these tools supported diverse improvements in LCA, such as more detailed investigations of grid interactions, enhanced characterization of impacts, and improved evaluation of resource availability. Analyses conducted at more refined spatiotemporal resolutions can provide more realistic representations of electricity generation, grid operations, and environmental impacts, supporting more effective interventions.

【 授权许可】

Unknown