scholarly journals Large-scale bioenergy from additional harvest of forest biomass is neither sustainable nor greenhouse gas neutral

GCB Bioenergy ◽  
2012 ◽  
Vol 4 (6) ◽  
pp. 611-616 ◽  
Author(s):  
Ernst-Detlef Schulze ◽  
Christian Körner ◽  
Beverly E. Law ◽  
Helmut Haberl ◽  
Sebastiaan Luyssaert
Keyword(s):  
Greenhouse Gas ◽  
Large Scale ◽  
Forest Biomass

A comment to “Large-scale bioenergy from additional harvest of forest biomass is neither sustainable nor greenhouse gas neutral”: Important insights beyond greenhouse gas accounting

GCB Bioenergy ◽  
2012 ◽  
Vol 4 (6) ◽  
pp. 617-619 ◽  
Author(s):  
Ryan M. Bright ◽  
Francesco Cherubini ◽  
Rasmus Astrup ◽  
Neil Bird ◽  
Annette L. Cowie ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Large Scale ◽  
Forest Biomass

The Potential of Photoelectrochemical Carbon Sinks

2018 ◽  
Author(s):  
Matthias May ◽  
Kira Rehfeld
Keyword(s):  
Global Warming ◽  
High Temperature ◽  
Greenhouse Gas ◽  
Large Scale ◽  
High Efficiency ◽  
Carbon Sink ◽  
Solar Fuels ◽  
Negative Emissions ◽  
Viable Approach ◽  
Low Sensitivity

Greenhouse gas emissions must be cut to limit global warming to 1.5-2C above preindustrial levels. Yet the rate of decarbonisation is currently too low to achieve this. Policy-relevant scenarios therefore rely on the permanent removal of CO<sub>2</sub> from the atmosphere. However, none of the envisaged technologies has demonstrated scalability to the decarbonization targets for the year 2050. In this analysis, we show that artificial photosynthesis for CO<sub>2</sub> reduction may deliver an efficient large-scale carbon sink. This technology is mainly developed towards solar fuels and its potential for negative emissions has been largely overlooked. With high efficiency and low sensitivity to high temperature and illumination conditions, it could, if developed towards a mature technology, present a viable approach to fill the gap in the negative emissions budget.<br>

The Potential of Photoelectrochemical Carbon Sinks

2018 ◽  
Author(s):  
Matthias May ◽  
Kira Rehfeld
Keyword(s):  
Global Warming ◽  
High Temperature ◽  
Greenhouse Gas ◽  
Large Scale ◽  
High Efficiency ◽  
Carbon Sink ◽  
Solar Fuels ◽  
Negative Emissions ◽  
Viable Approach ◽  
Low Sensitivity

Greenhouse gas emissions must be cut to limit global warming to 1.5-2C above preindustrial levels. Yet the rate of decarbonisation is currently too low to achieve this. Policy-relevant scenarios therefore rely on the permanent removal of CO<sub>2</sub> from the atmosphere. However, none of the envisaged technologies has demonstrated scalability to the decarbonization targets for the year 2050. In this analysis, we show that artificial photosynthesis for CO<sub>2</sub> reduction may deliver an efficient large-scale carbon sink. This technology is mainly developed towards solar fuels and its potential for negative emissions has been largely overlooked. With high efficiency and low sensitivity to high temperature and illumination conditions, it could, if developed towards a mature technology, present a viable approach to fill the gap in the negative emissions budget.<br>

Making the world’s longest subsea tunnel sustainable

2018 ◽  
Author(s):  
Ketil Søyland ◽  
Christer Wolden ◽  
Christopher Garmann ◽  
Debbie Harrison
Keyword(s):  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Large Scale ◽  
Ghg Emissions ◽  
Infrastructure Projects ◽  
Subsea Tunnel ◽  
Engineering Practices

<p>How can large-scale infrastructure projects be sustainable? The purpose of this paper is to discuss how engineering practices were changed in order to reduce the carbon footprint of the E39 Rogfast project, the world’s longest roadway sub-sea tunnel. The project will generate greenhouse gas (GHG)-emissions exceeding 1% of Norway’s total annual GHG-emissions. The paper covers the project process, including some of the challenges to be overcome.</p>

CO2 Recovery and Reuse in the Energy Sector, Energy Resource Development and Others: Economic and Technical Evaluation of Large-Scale Co2 Recycling

2003 ◽  
Vol 14 (4) ◽  
pp. 383-395 ◽  
Author(s):  
Ryunosuke Kikuchi
Keyword(s):  
Greenhouse Gas ◽  
Large Scale ◽  
Carbon Dioxide Emission ◽  
Energy Resource ◽  
Production Development ◽  
New Energy ◽  
Co2 Recycling ◽  
Technical Evaluation ◽  
Co2 Recovery ◽  
Recovery And Reuse

Climate change caused by greenhouse gases is receiving worldwide attention. CO2 (carbon dioxide) emission accounts for 80% of greenhouse gas emissions. The current measures against emission of CO2 are mainly control of emissions, sequestration and fixation, but CO2 emission decreased by only 1.6% in Europe during the past decade. CO2 recovery and reuse may offer new options for the greenhouse gas strategy. CO2 recovery technology such as the amine process is economically and technically feasible for industrial-scale application, and the recovered CO2 can be utilized for energy production, development of new energy resources, agriculture, etc. Recycling of CO2 on a large scale is discussed in this paper.

The use of feed supplements to reduce livestock greenhouse gas emissions: direct-fed microbials

2021 ◽  
pp. 261-286
Author(s):  
Natasha Doyle ◽  
◽  
Philiswa Mbandlwa ◽  
Sinead Leahy ◽  
Graeme Attwood ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Nitrous Oxide ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Large Scale ◽  
Important Variable ◽  
Gas Emissions ◽  
Feed Supplements ◽  
Beneficial Response ◽  
On Farm

This chapter aims to outline the strategy of using feed supplements for the reduction of greenhouse gas emissions (GHG) in ruminants, including methane (CH4), carbon dioxide and nitrous oxide, given that feed intake is an important variable in predicting these emissions. Focus will be given to direct-fed microbials, a term reserved for live microbes which can be supplemented to feed to elicit a beneficial response. The viability of such methods will also be analysed for their use in large scale on-farm operations.

scholarly journals Potential Impacts of Commercial Weight Loss Diet Recommendations on Greenhouse Gas Emissions in the United States (P04-169-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Rebecca Ramsing ◽  
Brent Kim ◽  
Roni Neff
Keyword(s):  
United States ◽  
Weight Loss ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Dietary Patterns ◽  
Large Scale ◽  
The United States ◽  
Assessment Model ◽  
Gas Emissions ◽  
Weight Watchers

Abstract Objectives To understand potential climate implications of dietary patterns associated with commercial weight loss diets, we tested the hypothesis that different consumption patterns of six commercial weight loss diets would shift United States greenhouse gas emissions (GHGE) if followed on a large scale. Methods An estimated 50–70% of adults are interested in controlling their weight with diets, many advocating lower carbohydrate, higher fat and higher animal protein intake. While considerable research exists on the environmental and greenhouse gas emissions (GHGE) implications of dietary patterns, no identified work has focused similarly on weight loss diets. Atkins, Biggest Loser, DASH, Weight Watchers, Keto and Whole30 diets were selected for this study based on consumer visibility, market share, and documented efficacy. Official 1-week sample plans were collected to create representative samples of each diet and converted to unprocessed primary equivalents. Cradle-to-farm gate GHGEs for individual food items were adapted from FAO's Global Livestock Environmental Assessment Model and 732 data points from 115 life cycle assessment studies. Results Estimated GHGEs varied significantly across the diet meal plans. Whole30 and showed the highest GHGEs per capita, while Keto, Biggest Loser and Atkins were lower but over twice that of DASH and Weight Watchers, which had the lowest. The largest single category value for each diet was bovine meat, suggesting that lowering recommendations for consumption of bovine meat could significantly decrease the GHGEs of each diet. Conclusions Our results provide a better understanding of potential costs and benefits associated with dietary recommendations for weight loss, critical to identifying impactful opportunities to shift dietary patterns toward public health and ecological goals, particularly reducing meat and increasing consumption of vegetables and pulses. Funding Sources Support provided by the Johns Hopkins Center for a Livable Future (CLF) with a gift from the GRACE Communications Foundation.

scholarly journals Removing the Scaling Error Caused by Allometric Modelling in Forest Biomass Estimation at Large Scales

Forests ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 602
Author(s):  
Carl Zhou ◽  
Xiaolu Zhou
Keyword(s):  
Large Scale ◽  
Forest Ecosystems ◽  
Forest Biomass ◽  
Field Measurements ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Allometric Relationships ◽  
Data Errors ◽  
Pinus Yunnanensis

To estimate the responses of forest ecosystems, most relationships in biological systems are described by allometric relationships, the parameters of which are determined based on field measurements. The use of existing observed data errors may occur during the scaling of fine-scale relationships to describe ecosystem properties at a larger ecosystem scale. Here, we analyzed the scaling error in the estimation of forest ecosystem biomass based on the measurement of plots (biomass or volume per hectare) using an improved allometric equation with a scaling error compensator. The efficiency of the compensator on reducing the scaling error was tested by simulating the forest stand populations using pseudo-observation. Our experiments indicate that, on average, approximately 94.8% of the scaling error can be reduced, and for a case study, an overestimation of 3.6% can be removed in practice from a large-scale estimation for the biomass of Pinus yunnanensis Franch.

Indirect methods of large-scale forest biomass estimation

2006 ◽  
Vol 126 (2) ◽  
pp. 197-207 ◽  
Author(s):  
Z. Somogyi ◽  
E. Cienciala ◽  
R. Mäkipää ◽  
P. Muukkonen ◽  
A. Lehtonen ◽  
...  
Keyword(s):  
Large Scale ◽  
Forest Biomass ◽  
Biomass Estimation ◽  
Indirect Methods
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