skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Short-term landfill methane emissions dependency on wind

Authors:
; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1359963
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Waste Management
Additional Journal Information:
Journal Volume: 55; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-10-05 22:03:11; Journal ID: ISSN 0956-053X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Delkash, Madjid, Zhou, Bowen, Han, Byunghyun, Chow, Fotini K., Rella, Chris W., and Imhoff, Paul T. Short-term landfill methane emissions dependency on wind. United States: N. p., 2016. Web. doi:10.1016/j.wasman.2016.02.009.
Delkash, Madjid, Zhou, Bowen, Han, Byunghyun, Chow, Fotini K., Rella, Chris W., & Imhoff, Paul T. Short-term landfill methane emissions dependency on wind. United States. doi:10.1016/j.wasman.2016.02.009.
Delkash, Madjid, Zhou, Bowen, Han, Byunghyun, Chow, Fotini K., Rella, Chris W., and Imhoff, Paul T. 2016. "Short-term landfill methane emissions dependency on wind". United States. doi:10.1016/j.wasman.2016.02.009.
@article{osti_1359963,
title = {Short-term landfill methane emissions dependency on wind},
author = {Delkash, Madjid and Zhou, Bowen and Han, Byunghyun and Chow, Fotini K. and Rella, Chris W. and Imhoff, Paul T.},
abstractNote = {},
doi = {10.1016/j.wasman.2016.02.009},
journal = {Waste Management},
number = C,
volume = 55,
place = {United States},
year = 2016,
month = 9
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.wasman.2016.02.009

Citation Metrics:
Cited by: 1work
Citation information provided by
Web of Science

Save / Share:
  • Forecasts of available wind power are critical in key electric power systems operations planning problems, including economic dispatch and unit commitment. Such forecasts are necessarily uncertain, limiting the reliability and cost effectiveness of operations planning models based on a single deterministic or “point” forecast. A common approach to address this limitation involves the use of a number of probabilistic scenarios, each specifying a possible trajectory of wind power production, with associated probability. We present and analyze a novel method for generating probabilistic wind power scenarios, leveraging available historical information in the form of forecasted and corresponding observed wind power timemore » series. We estimate non-parametric forecast error densities, specifically using epi-spline basis functions, allowing us to capture the skewed and non-parametric nature of error densities observed in real-world data. We then describe a method to generate probabilistic scenarios from these basis functions that allows users to control for the degree to which extreme errors are captured.We compare the performance of our approach to the current state-of-the-art considering publicly available data associated with the Bonneville Power Administration, analyzing aggregate production of a number of wind farms over a large geographic region. Finally, we discuss the advantages of our approach in the context of specific power systems operations planning problems: stochastic unit commitment and economic dispatch. Here, our methodology is embodied in the joint Sandia – University of California Davis Prescient software package for assessing and analyzing stochastic operations strategies.« less
  • Estimating landfill methane emissions at national and global levels is fraught with uncertainties. The goal for the near-term is to improve national and global estimates based on improved models, which more realistically simulate a growing database of field measurements. This would assist regulators and policy makers to more accurately evaluate landfill methane emissions and guide development of national mitigation strategies. This article provides an updated perspective on landfill methane emissions by: (1) discussing recent field measurements and research results; (2) proposing research still needed; and (3) suggesting improved modeling strategies (including regulatory approaches) to assess landfill methane emissions more accurately.
  • Methane emissions were measured at nine US landfill sites using chamber and/or tracer flux techniques. These flux measurement methodologies were compared at two sites, and excellent agreement was observed. Total methane emissions ranged from 540 to 30 100 L min[sup [minus]1]. Expressed on an area basis, methane fluxes ranged from a low of 9.1 g of CH[sub 4] m[sup [minus]2] d[sup [minus]1] at a closed 20-ha site with active gas recovery to 130 g of CH[sub 4] m[sup [minus]2] d[sup [minus]1] at a 23-ha active site with no gas recovery. Methane emission factors were calculated for seven of the ninemore » sites. The two sites with no active gas recovery exhibited the highest emission factors of 4.8 and 5.1. Values were significantly lower at three sites with partial gas recovery, ranging from 1.6 to 3.7. At the two closed sites with active gas recovery, emission factors were much lower still. It is evident that even partial gas recovery at active landfill sites can significantly reduce methane emissions, and gas recovery at closed, covered sites reduces methane emissions to the atmosphere by as much as a factor of 10.« less
  • Landfills are the largest source of anthropogenic methane (CH{sub 4}) emissions to the atmosphere in the United States. However, few measurements of whole landfill CH{sub 4} emissions have been reported. Here, we present the results of a multi-season study of whole landfill CH{sub 4} emissions using atmospheric tracer methods at the Nashua, New Hampshire Municipal landfill in the northeastern United States. The measurement data include 12 individual emission tests, each test consisting of 5-8 plume measurements. Measured emissions were negatively correlated with surface atmospheric pressure and ranged from 7.3 to 26.5 m{sup 3} CH{sub 4} min{sup -1}. A simple regressionmore » model of our results was used to calculate an annual emission rate of 8.4x10{sup 6} m{sup 3} CH{sub 4} year{sup -1}. These data, along with CH{sub 4} oxidation estimates based on emitted landfill gas isotopic characteristics and gas collection data, were used to estimate annual CH{sub 4} generation at this landfill. A reported gas collection rate of 7.1x10{sup 6} m{sup 3} CH{sub 4} year{sup -1} and an estimated annual rate of CH{sub 4} oxidation by cover soils of 1.2x10{sup 6} m{sup 3} CH{sub 4} year{sup -1} resulted in a calculated annual CH{sub 4} generation rate of 16.7x10{sup 6} m{sup 3} CH{sub 4} year{sup -1}. These results underscore the necessity of understanding a landfill's dynamic environment before assessing long-term emissions potential.« less
  • Methane (CH{sub 4}) diffuse emissions from Municipal Solid Waste (MSW) landfills represent one of the most important anthropogenic sources of greenhouse gas. CH{sub 4} is produced by anaerobic biodegradation of organic matter in landfilled MSW and constitutes a major component of landfill gas (LFG). Gas recovery is a suitable method to effectively control CH{sub 4} emissions from landfill sites and the quantification of CH{sub 4} emissions represents a good tool to evaluate the effectiveness of a gas recovery system in reducing LFG emissions. In particular, LFG emissions can indirectly be evaluated from mass balance equations between LFG production, recovery andmore » oxidation in the landfill, as well as by a direct approach based on LFG emission measurements from the landfill surface. However, up to now few direct measurements of landfill CH{sub 4} diffuse emissions have been reported in the technical literature. In the present study, both modeling and direct emission measuring methodologies have been applied to the case study of Bellolampo landfill located in Palermo, Italy. The main aim of the present study was to evaluate CH{sub 4} diffuse emissions, based on direct measurements carried out with the flux accumulation chamber (static, non-stationary) method, as well as to obtain the CH{sub 4} contoured flux map of the landfill. Such emissions were compared with the estimate achieved by means of CH{sub 4} mass balance equations. The results showed that the emissions obtained by applying the flux chamber method are in good agreement with the ones derived by the application of the mass balance equation, and that the evaluated contoured flux maps represent a reliable tool to locate areas with abnormal emissions in order to optimize the gas recovery system efficiency.« less