東華大學圖書館 |

Improving Life Cycle Assessments for Sustainable Solid Waste Management Decision Making.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Improving Life Cycle Assessments for Sustainable Solid Waste Management Decision Making./
作者:	Wang, Yixuan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	226 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Contained By:	Dissertations Abstracts International83-09B.
標題:	Eutrophication. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28973026
ISBN:	9798780651987

Improving Life Cycle Assessments for Sustainable Solid Waste Management Decision Making.
Wang, Yixuan.

Improving Life Cycle Assessments for Sustainable Solid Waste Management Decision Making. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 226 p.

Source: Dissertations Abstracts International, Volume: 83-09, Section: B.

Thesis (Ph.D.)--North Carolina State University, 2021.

This item must not be sold to any third party vendors.

Over 292 million tons of municipal solid waste (MSW) are generated annually in the U.S. Appropriately managing this waste can reduce greenhouse gas (GHG) emissions, conserve critical resources, and generate renewable fuels and electricity. Landfills are a critical component of the U.S. MSW management (MSWM) infrastructure that currently accepts over half of generated MSW. Landfills are also the third leading source of anthropogenic methane (CH4) emissions in the U.S., behind natural gas extraction and livestock. Life-cycle assessment (LCA) is a decisionsupport framework used to quantify and understand the environmental impacts and resource consumption of MSWM scenarios and processes, including landfills. However, landfill LCAs are complicated by their varying sizes, waste composition, gas collection and control regulations, and the dynamic nature of gas and leachate production and management. Thus, accurate models to estimate the environmental emissions and impacts attributable to landfills are important for guiding emissions and climate mitigation policymaking. While LCAs provide valuable insights, large data requirements limit their effective incorporation into guiding future decisions and allowing quick iterations of analyses. Reducing the data requirements for inventory and impact assessments will facilitate the wider use of LCAs during early system planning.The objectives of this research include (1) developing a life-cycle model to represent how a municipal landfill works in consideration of size, waste composition, and regulations that govern landfill gas collection and control; (2) evaluating how the dynamic nature of long-term emissions from landfills affects the associated global warming impacts; and (3) developing a streamlined LCA framework for MSWM systems that substantially reduces modeling effort while maintaining decision consistency.A state-of-the-art landfill LCA model was developed to represent how a U.S. municipal landfill is constructed, operated, and closed under multiple configurations and to guide GHG emissions reduction strategies and policies. The study found that for the population of landfills that are already required to collect gas, collecting gas longer is more important than collecting gas earlier to reduce CH4 emissions, although the benefits of each vary with waste decay rate. To assess the global warming impacts associated with long-term emissions from landfilling MSW, dynamic and static 100-yr and 20-yr global warming potential (GWP) estimates were compared for various landfill configurations. When comparing single-point 100-yr GWP values, the choice of static versus dynamic is relatively unimportant for most landfills. However, the choice of using the dynamic method becomes important due to the benefits considered for the delayed emissions when a short-term time horizon (20-yr) is used.For MSWM LCAs to be most useful, effective early incorporation of LCAs is needed to allow quick analysis on existing and potential MSWM alternatives. A simple model may be preferable to a complex model given limited resources. A framework for streamlining LCAs was developed and applied for an integrated MSWM system where 18 scenarios were considered for generalizing the implications from streamlined LCAs. The results indicate that the number of impacts and flows can be drastically reduced while consistently identifying the same top 3 scenarios as the full LCAs. This highlights that the results of MSWM LCAs can be more transparently communicated with communities using a much shorter list that emphasizes the most relevant impacts and flows for comparing alternatives during the results interpretation phase.Valuable insights were obtained regarding the use of LCA as a decision-support tool to guide GHG emissions and climate mitigation policies for achieving sustainable MSWM, which can also be readily applied in the early strategy planning with limited datasets. Advanced LCAs for both landfills and integrated MSWM systems are demonstrated under several configurations. Thus, the methods developed and results generated in this research can be generalized to similar systems.

ISBN: 9798780651987Subjects--Topical Terms:

896350
Eutrophication.

Improving Life Cycle Assessments for Sustainable Solid Waste Management Decision Making.
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