North American energy system responses to natural gas price shocks

Brown, Maxwell; Siddiqui, Sauleh; Avraam, Charalampos; Bistline, John; DeCarolis, Joseph F.; Eshraghi, Hadi; Giarola, Sara; Hansen, Matthew C.; Johnston, Peter; Khanal, Saroj; Molar-Cruz, Anahi

doi:10.1016/j.enpol.2020.112046

Cited by 20 publications

(7 citation statements)

References 18 publications

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“…EMF34: renewable mandates can mitigate spikes in natural gas price but lower the benefits of natural gas price reduction [75] EMF34: electricity storage facilitates renewable integration at lower system costs but competes with alternative low-cost technologies [76] Flexibility, modular, and realistic decision-making processes are achieved through the following features:…”

Section: Topicmentioning

confidence: 99%

MUSE: An open-source agent-based integrated assessment modelling framework

Giarola

Sachs

d’Avezac

et al. 2022

Preprint

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Integrated assessment models (IAMs) are a cornerstone of the climate change mitigation. Each IAM exhibits different methodologies for characterising the energy system, land use change, economics, and climate response. To date, no existing IAM can simulate the heterogeneity of investor or consumer decision-making in an integrated assessment context.This paper presents an open-source modelling framework designed to fill that gap. Named MUSE (ModUlar energy systems Simulation Environment), this new model supports flexible characterisation of agents’ decision-making, including imperfect foresight. It is modular, technology-rich, recursive-dynamic, and partial-equilibrium in nature. The structure of MUSE creates the ability to produce climate change mitigation assessments that are more grounded, and more tangible model outputs for conceiving effective approaches to mitigation.

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Section: Topicmentioning

confidence: 99%

MUSE: An open-source agent-based integrated assessment modelling framework

Giarola

Sachs

d’Avezac

et al. 2022

Preprint

Self Cite

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“…Natural gas as a clean energy has been widely used in the world. [1][2][3] In order to achieve sustainable development, natural gas production and consumption have increased rapidly in recent years. [4][5] The main component of natural gas is methane, as well as small amount CO 2 and sulfur compounds.…”

Section: Introductionmentioning

confidence: 99%

“…Natural gas as a clean energy has been widely used in the world [1–3] . In order to achieve sustainable development, natural gas production and consumption have increased rapidly in recent years [4–5] .…”

Section: Introductionmentioning

confidence: 99%

ZnTi‐LDH Nanosheets Prepared Solvothermically in Ethylene Glycol Studied for their Adsorption Performance towards Ethyl Mercaptan**

Zhang

Zhao

et al. 2023

ChemistrySelect

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Ethyl mercaptan (Et‐SH) is a common sulfide in natural gas. It is toxic and can cause equipment corrosion and catalyst poisoning, which needs to be properly handled. In present paper, Zn−Ti layered double hydroxide and its nanosheets were prepared by hydrothermal method and solvothermal method using ethylene glycol (EG) as a reaction medium, respectively. The desulfurization capabilities of the as‐prepared samples were evaluated through the adsorption of Et‐SH from methane gas. The results show that the desulfurization performance of the samples prepared by solvothermal method is significantly elevated comparing that of sample prepared by hydrothermal method. The washing solvent in the post‐treatment of the samples obtained by solvothermal method has great influence on its desulfurization performance. Density Functional Theory (DFT) calculations indicate that the H atom of hydroxyl group on the surface of nanosheet is the main active site for adsorption of Et‐SH. The strong hybridization between S 3p orbitals and H 1s orbitals promote the formation of S⋅⋅⋅H bond.

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“…Brown et al. 38 used a scenario-based approach to assess the responses of Canadian, Mexican, and US energy systems to gas price shocks, defined as a sudden price increase by 24% or decrease by 19%. Seven different energy system models were used in the analysis.…”

Section: Introductionmentioning

confidence: 99%