scholarly journals Coupling a Detailed Transport Model to the Integrated Assessment Model REMIND

2021 ◽  
Author(s):  
Marianna Rottoli ◽  
Alois Dirnaichner ◽  
Page Kyle ◽  
Lavinia Baumstark ◽  
Robert Pietzcker ◽  
...  
Keyword(s):  
Integrated Assessment ◽  
Energy Demand ◽  
Large Scale ◽  
Transport Model ◽  
Coupled System ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Transport Sector ◽  
Time Range ◽  
High Level

AbstractThe transport sector is a crucial bottleneck in the decarbonization challenge. To study the sector’s decarbonization potential in the wider systems perspective, we couple a large-scale integrated assessment model, Regionalized Model of INvestments and Development (REMIND), to a detailed transport model, Energy Demand Generator-Transport (EDGE-T). This approach allows the analysis of mobility futures in the context of long-term and global energy sector transformations, at a high level of modal and technological granularity and internal consistency. The runtime of the coupled system increases by ~ 15–20% compared with a REMIND standalone application, and first convergence tests are promising. To illustrate the capabilities of our modeling approach, we focus on a reference pathway for Europe. Preliminary results indicate that transport service demands grow in the next decades for both passenger and freight transport. Transport system emissions are expected to decrease in the same time range, due to a shift towards electric drivetrains, advanced vehicles, more efficient modes as well as a slight increase in the share of biofuels.

Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model

Energy ◽  
2015 ◽  
Vol 90 ◽  
pp. 1682-1694 ◽  
Author(s):  
Michael J. Scott ◽  
Don S. Daly ◽  
John E. Hathaway ◽  
Carina S. Lansing ◽  
Ying Liu ◽  
...  
Keyword(s):  
Integrated Assessment ◽  
Energy Demand ◽  
Integrated Assessment Model ◽  
Assessment Model

scholarly journals The role of biomaterials for the energy transition from the lens of a national integrated assessment model

2021 ◽  
Vol 167 (3-4) ◽  
Author(s):  
Camilla C. N. de Oliveira ◽  
Gerd Angelkorte ◽  
Pedro R. R. Rochedo ◽  
Alexandre Szklo
Keyword(s):  
Integrated Assessment ◽  
Energy Transition ◽  
Integrated Assessment Model ◽  
Assessment Model

scholarly journals Evaluation of Integrated Assessment Model hindcast experiments: A case study of the GCAM 3.0 land use module

2017 ◽  
Author(s):  
Abigail C. Snyder ◽  
Robert P. Link ◽  
Katherine V. Calvin
Keyword(s):  
Integrated Assessment ◽  
Structural Changes ◽  
Spatial Scales ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Land Allocation ◽  
Time Period ◽  
Skill Scores ◽  
Performance Benchmarks

Abstract. Hindcasting experiments (conducting a model forecast for a time period in which observational data is available) are rarely undertaken in the Integrated Assessment Model (IAM) community. When they are undertaken, the results are often evaluated using global aggregates or otherwise highly aggregated skill scores that mask deficiencies. We select a set of deviation based measures that can be applied at different spatial scales (regional versus global) to make evaluating the large number of variable-region combinations in IAMs more tractable. We also identify performance benchmarks for these measures, based on the statistics of the observational dataset, that allow a model to be evaluated in absolute terms rather than relative to the performance of other models at similar tasks. This is key in the integrated assessment community, where there often are not multiple models conducting hindcast experiments to allow for model intercomparison. The performance benchmarks serve a second purpose, providing information about the reasons a model may perform poorly on a given measure and therefore identifying opportunities for improvement. As a case study, the measures are applied to the results of a past hindcast experiment focusing on land allocation in the Global Change Assessment Model (GCAM) version 3.0. We find quantitative evidence that global aggregates alone are not sufficient for evaluating IAMs, such as GCAM, that require global supply to equal global demand at each time period. Additionally, the deviation measures examined in this work successfully identity parametric and structural changes that may improve land allocation decisions in GCAM. Future work will involve implementing the suggested improvements to the GCAM land allocation system identified by the measures in this work, using the measures to quantify performance improvement due to these changes, and, ideally, applying these measures to other sectors of GCAM and other land allocation models.

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