4.8 Article

Dynamic Life Cycle Assessment of Energy Technologies under Different Greenhouse Gas Concentration Pathways

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 56, Issue 2, Pages 1395-1404

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c05923

Keywords

life cycle assessment; dynamic modeling; carbon analysis; greenhouse gas emissions; power generation; global warming potential

Funding

  1. U.S. National Science Foundation
  2. National Science Foundation [2038439]
  3. Div Of Chem, Bioeng, Env, & Transp Sys
  4. Directorate For Engineering [2038439] Funding Source: National Science Foundation

Ask authors/readers for more resources

This study presents a dynamic approach to analyze the life-cycle global warming potential (GWP) of energy technologies in different timeframes and representative greenhouse gas (GHG) concentration pathways. The results show that higher atmospheric GHG concentrations lead to higher life-cycle GWP for long-term analysis. The impacts of background GHG concentrations are more significant for technologies with large operational emissions or CH4 emissions.
Global warming potential (GWP) has been widely used in the life cycle assessment (LCA) to quantify the climate impacts of energy technologies. Most LCAs are static analyses without considering the dynamics of greenhouse gas (GHG) emissions and changes in background GHG concentrations. This study presents a dynamic approach to analyze the life-cycle GWP of energy technologies in different timeframes and representative GHG concentration pathways. Results show that higher atmospheric GHG concentrations lead to higher life-cycle GWP for long-term analysis. The impacts of background GHG concentrations are more significant for technologies with large operational emissions or CH4 emissions than technologies with low operational emissions. The case study for the U.S. electricity sector in 2020-2050 shows the impacts of background GHG concentrations and different LCA methods on estimating national climate impacts of different energy technology scenarios. Based on the results, it is recommended for future LCAs to incorporate temporal effects of GHG emissions when (1) the technology has large operational GHG emissions or CH4 emissions; (2) the analysis time frame is longer than 50 years; (3) when LCA results are used for policymaking or technology comparisons for mitigating climate change.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Environmental Sciences

How does COVID-19 affect the life cycle environmental impacts of US household energy and food consumption?

Yuan Yao

Summary: The COVID-19 pandemic has resulted in reduced travel and increased household food and energy consumption. This study investigates the overall environmental impacts of these changes by estimating the life cycle environmental impacts of U.S. households during the pandemic. The results show that the decrease in travel outweighed the increase in household energy consumption, leading to a nationwide decrease in greenhouse gas emissions, energy use, smog formation, minerals and metal use, commercial wastes, and acidification. However, there was an increase in life cycle freshwater withdrawals and slight increases in eutrophication, ozone depletion, and freshwater ecotoxicity due to increased household energy and food consumption.

ENVIRONMENTAL RESEARCH LETTERS (2022)

Article Green & Sustainable Science & Technology

Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework

Mochen Liao, Kai Lan, Yuan Yao

Summary: This study reviewed relevant AI literature in the chemical industry and proposed a conceptual framework that encompasses approaches from industrial ecology, economics, and engineering to guide the selection of performance indicators and evaluation methods for a holistic assessment of AI's impacts. The study also highlights future research directions for addressing the data challenges in assessing AI's impacts and developing AI-enhanced tools to support the sustainable development of the chemical industry.

JOURNAL OF INDUSTRIAL ECOLOGY (2022)

Article Plant Sciences

Equally green? Understanding the distribution of urban green infrastructure across student demographics in four public school districts in North Carolina, USA

Zhenzhen Zhang, Katherine L. Martin, Kathryn T. Stevenson, Yuan Yao

Summary: Green infrastructure is crucial for health, well-being, and sustainability in urban areas. However, its distribution is often uneven, leading to unequal access for low-income residents and underserved racial/ethnic communities. This study found that while green infrastructure was distributed more equitably in schoolyards, it was still less prevalent compared to surrounding neighborhoods. There is an opportunity for school districts to expand green infrastructure in schoolyards to provide more ecosystem services for all students.

URBAN FORESTRY & URBAN GREENING (2022)

Article Green & Sustainable Science & Technology

Sustainable high-strength macrofibres extracted from natural bamboo

Zhihan Li, Chaoji Chen, Hua Xie, Yuan Yao, Xin Zhang, Alexandra Brozena, Jianguo Li, Yu Ding, Xinpeng Zhao, Min Hong, Haiyu Qiao, Lee M. Smith, Xuejun Pan, Robert Briber, Sheldon Q. Shi, Liangbing Hu

Summary: The study presents a top-down approach for producing high-performance natural macrofibres from bamboo stems that outperform wood-derived fibres and are comparable to synthetic carbon fibres. The use of these natural fibres could lead to substantial reduction in carbon emissions, offering a pathway towards sustainability in various industries such as automotive, aeronautics, and construction.

NATURE SUSTAINABILITY (2022)

Article Engineering, Environmental

Process Simulation-Based Life Cycle Assessment of Dissolving Pulps

Darlene Echeverria, Richard Venditti, Hasan Jameel, Yuan Yao

Summary: This research uses process simulations to generate life cycle inventory data for different grades of dissolving pulp (DP) and finds that biomass feedstock directly affects the environmental impacts of DP. The study shows that hardwood acetate grade has a higher global warming potential compared to softwood acetate, but lower impacts in other categories related to ecosystems and human health.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2022)

Review Green & Sustainable Science & Technology

A review of inventory modeling methods for missing data in life cycle assessment

Shiva Zargar, Yuan Yao, Qingshi Tu

Summary: Missing data is a key challenge in life cycle inventory (LCI) modeling. This study critically reviews 12 common methods for addressing missing data in LCI modeling, analyzes their features, scope, assumptions, and limitations, and identifies areas for future improvement.

JOURNAL OF INDUSTRIAL ECOLOGY (2022)

Article Chemistry, Multidisciplinary

Carbon Footprint of Bleached Softwood Fluff Pulp: Detailed Process Simulation and Environmental Life Cycle Assessment to Understand Carbon Emissions

Rodrigo Buitrago-Tello, Richard A. Venditti, Hasan Jameel, Yuan Yao, Darlene Echeverria

Summary: This study analyzed the carbon footprint of wood-based fluff pulp production and evaluated the environmental impacts of switching energy sources and key operational conditions. The results showed that using residual biomass wood pellets as energy source can significantly reduce carbon emissions, and the lignin content of biomass is a critical factor affecting greenhouse gas emissions.

ACS SUSTAINABLE CHEMISTRY & ENGINEERING (2022)

Article Engineering, Environmental

An integrated techno-economic and environmental assessment for carbon capture in hydrogen production by biomass gasification

Na Wu, Kai Lan, Yuan Yao

Summary: BECCS is a potential solution for addressing climate change and regional wildfires, and supporting circular economy. The study shows that forest residue-derived hydrogen is economically competitive and only BECCS can provide carbon-negative hydrogen, which is more favorable regarding human health impact and near-term economics.

RESOURCES CONSERVATION AND RECYCLING (2023)

Article Multidisciplinary Sciences

Climate-smart forestry through innovative wood products and commercial afforestation and reforestation on marginal land

Bingquan Zhang, Kai Lan, Thomas B. Harris, Mark S. Ashton, Yuan Yao

Summary: This study fills the gap in understanding the climate mitigation potential of protection and commercial AR with different combinations of forest plantation management and wood utilization pathways. The results show that innovative commercial AR generally mitigates more GHGs across 100 years through cross-laminated timber (CLT) and biochar, especially in moderately cooler and dryer regions. The study also highlights the importance of planting density and thinning regimes in GHG mitigation. Rating: 8/10.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)

Review Engineering, Environmental

Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review

Hannah Szu-Han Wang, Yuan Yao

Summary: This paper reviews 53 papers published since 2008 to understand the capabilities, limitations, and potentials of machine learning (ML) in supporting sustainable development and applications of biomass-derived materials (BDM). Previous ML applications in BDM systems focus on material and process design, end-use performance prediction, and sustainability assessment. However, there are limitations in the interpretability of models and the lack of studies considering geo-temporal dynamics in sustainability assessment.

RESOURCES CONSERVATION AND RECYCLING (2023)

Article Engineering, Environmental

Techno-Economic and Life Cycle Assessment of Enhanced Rock Weathering: A Case Study from the Midwestern United States

Bingquan Zhang, Jennifer Kroeger, Noah Planavsky, Yuan Yao

Summary: Enhanced rock weathering (ERW) is a CDR strategy for combating climate change. This study develops an optimization-based framework for ERW, demonstrated by a case study applying mining waste to croplands in the Midwestern U.S. The study reveals the importance of ERW supply chain design and provides an example of U.S. CDR implementation.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Environmental Sciences

Feasibility of gasifying mixed plastic waste for hydrogen production and carbon capture and storage

Kai Lan, Yuan Yao

Summary: Gasification of waste plastic for hydrogen production, combined with carbon capture and storage, is a viable option for addressing the plastic waste challenge. Techno-economic analysis and life cycle assessment show that this option is competitive and has lower environmental impacts compared to fossil fuel hydrogen with carbon capture and storage and current electrolysis hydrogen.

COMMUNICATIONS EARTH & ENVIRONMENT (2022)

Article Green & Sustainable Science & Technology

Circular utilization of urban tree waste contributes to the mitigation of climate change and eutrophication

Kai Lan, Bingquan Zhang, Yuan Yao

Summary: This study quantifies the life-cycle environmental benefits of utilizing urban tree waste in the US and finds that full utilization of urban tree waste through circular pathways can significantly reduce nationwide greenhouse gas emissions and eutrophication potential. Through process-level comparisons, it is identified that using merchantable logs for lumber and residues for biochar is the most environmentally beneficial combination. These results contribute to the development of circular bioeconomy in urban environments.

ONE EARTH (2022)

No Data Available