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Institution

Joint Global Change Research Institute

FacilityRiverdale Park, Maryland, United States
About: Joint Global Change Research Institute is a facility organization based out in Riverdale Park, Maryland, United States. It is known for research contribution in the topics: Greenhouse gas & Climate change. The organization has 197 authors who have published 934 publications receiving 62390 citations.


Papers
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Journal ArticleDOI
23 Apr 2021-Science
TL;DR: In this article, the authors conducted a multimodel study and found that the 1.5°C-consistent goal would require China to reduce its carbon emissions and energy consumption by more than 90 and 39%, respectively, compared with the "no policy" case.
Abstract: Given the increasing interest in keeping global warming below 1.5°C, a key question is what this would mean for China's emission pathway, energy restructuring, and decarbonization. By conducting a multimodel study, we find that the 1.5°C-consistent goal would require China to reduce its carbon emissions and energy consumption by more than 90 and 39%, respectively, compared with the "no policy" case. Negative emission technologies play an important role in achieving near-zero emissions, with captured carbon accounting on average for 20% of the total reductions in 2050. Our multimodel comparisons reveal large differences in necessary emission reductions across sectors, whereas what is consistent is that the power sector is required to achieve full decarbonization by 2050. The cross-model averages indicate that China's accumulated policy costs may amount to 2.8 to 5.7% of its gross domestic product by 2050, given the 1.5°C warming limit.

190 citations

Journal ArticleDOI
15 Dec 2017-Energy
TL;DR: In this article, the authors provide an up-to-date review of the broad categories of energy models for urban buildings and describes the basic workflow of physics-based, bottom-up models and their applications in simulating urban-scale building energy use.

184 citations

Journal ArticleDOI
TL;DR: In this paper, the importance of bioenergy to potential future energy transformation and climate change management is explored using a large inter-model comparison of 15 models, comprehensively characterize and analyze future dependence on, and the value of, bioenergy in achieving potential long-run climate objectives.
Abstract: This study explores the importance of bioenergy to potential future energy transformation and climate change management. Using a large inter-model comparison of 15 models, we comprehensively characterize and analyze future dependence on, and the value of, bioenergy in achieving potential long-run climate objectives. Model scenarios project, by 2050, bioenergy growth of 1 to 10 % per annum reaching 1 to 35 % of global primary energy, and by 2100, bioenergy becoming 10 to 50 % of global primary energy. Non-OECD regions are projected to be the dominant suppliers of biomass, as well as consumers, with up to 35 % of regional electricity from biopower by 2050, and up to 70 % of regional liquid fuels from biofuels by 2050. Bioenergy is found to be valuable to many models with significant implications for mitigation and macroeconomic costs of climate policies. The availability of bioenergy, in particular biomass with carbon dioxide capture and storage (BECCS), notably affects the cost-effective global emissions trajectory for climate management by accommodating prolonged near-term use of fossil fuels, but with potential implications for climate outcomes. Finally, we find that models cost-effectively trade-off land carbon and nitrous oxide emissions for the long-run climate change management benefits of bioenergy. The results suggest opportunities, but also imply challenges. Overall, further evaluation of the viability of large-scale global bioenergy is merited.

182 citations

Journal ArticleDOI
TL;DR: In this article, the role of renewable energy (RE) in climate change mitigation has been explored, and the results on renewable energy deployment levels vary considerably across the EMF27 models, which can be attributed to different assumptions about technology costs, resource potentials and systems integration.
Abstract: This paper uses the EMF27 scenarios to explore the role of renewable energy (RE) in climate change mitigation. Currently RE supplies almost 20 % of global electricity demand. Almost all EMF27 mitigation scenarios show a strong increase in renewable power production, with a substantial ramp-up of wind and solar power deployment. In many scenarios, renewables are the most important long-term mitigation option for power supply. Wind energy is competitive even without climate policy, whereas the prospects of solar photovoltaics (PV) are highly contingent on the ambitiousness of climate policy. Bioenergy is an important and versatile energy carrier; however—with the exception of low temperature heat—there is less scope for renewables other than biomass for non-electric energy supply. Despite the important role of wind and solar power in climate change mitigation scenarios with full technology availability, limiting their deployment has a relatively small effect on mitigation costs, if nuclear and carbon capture and storage (CCS)—which can serve as substitutes in low-carbon power supply—are available. Limited bioenergy availability in combination with limited wind and solar power by contrast, results in a more substantial increase in mitigation costs. While a number of robust insights emerge, the results on renewable energy deployment levels vary considerably across the models. An in-depth analysis of a subset of EMF27 reveals substantial differences in modeling approaches and parameter assumptions. To a certain degree, differences in model results can be attributed to different assumptions about technology costs, resource potentials and systems integration.

178 citations


Authors

Showing all 213 results

NameH-indexPapersCitations
Katherine Calvin5818114764
Steven J. Smith5819036110
George C. Hurtt5715924734
Brian C. O'Neill5717414636
Leon Clarke5318110770
James A. Edmonds5117510494
Claudia Tebaldi5010021389
Roberto C. Izaurralde481429790
Ghassem R. Asrar4614112280
Yuyu Zhou461696578
Ben Bond-Lamberty431447732
Marshall Wise401107074
William K. M. Lau401547095
Allison M. Thomson399122037
Ben Kravitz371274256
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202310
202218
2021106
2020112
201973
201878