Decarbonising road transport with hydrogen and electricity: Long term global technology learning scenarios

Anandarajah, Gabrial; McDowall, Will; Ekins, Paul

doi:10.1016/j.ijhydene.2012.12.110

Cited by 132 publications

(79 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, a number of results are based on a highly aggregated versions of the models or clustering of technologies. For example, Anandarajah et al [55] used a multicluster global technology learning approach in the TIAM-UCL global energy system model to analyze the role of hydrogen and electricity in decarbonizing the transport sector. Rafaj and Kypreos [56] used the Global MARKAL-Model (GMM) with ETL to address impacts of internalization of external costs from power production.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling technological change and its impact on energy savings in the U.S. iron and steel sector

2017

View full text Add to dashboard Cite

a b s t r a c tMarket penetration of energy-efficient technologies can be estimated using energy optimization models that minimize cost; however, such models typically estimate the minimum cost of optimal pathways under a certain set of non-dynamic assumptions, so technology penetrations determined for the longterm do not fully respond to changing circumstances or costs. In this study, investment costs of energy-efficient technologies are modeled dynamically in the Industrial Sector Energy-Efficiency Model (ISEEM) using a technological learning formula. Results from 24 energy-efficient technologies -14 existing, 10 emerging -selected from the United States (U.S.) iron and steel sector show that when technological learning is incorporated into the model, total energy consumption of this sector is expected to decrease by 13% (180 PJ) in 2050 compared to energy consumption in a non-learning scenario. Average energy intensity of the steel production improves from 12.3 GJ/t in the non-learning scenario to 10.7 GJ/t in the learning scenario in 2050. This decrease represents a cost savings of US$1.6 billion and a carbon dioxide emissions reduction potential of 14.9 billion tonnes. Results discussed in this paper focus on the U.S. iron and steel sector, but the proposed framework can be applied to study new technology development in any other industrial processes and regions.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Modeling technological change and its impact on energy savings in the U.S. iron and steel sector

2017

View full text Add to dashboard Cite

show abstract

“…Many models have several inter-linked regions, each with a separate RES, and these could be analysed independently or as a whole (in many energy system models, for example TIAM-UCL [25] and MESSAGE [22], each region has the same RES structure). It might also be beneficial to examine the number of links between regions, for example to assess the number of regionally traded commodities.…”

Section: Energy System Structurementioning

confidence: 99%

Characterising the Evolution of Energy System Models Using Model Archaeology

Dodds

Keppo

Strachan

2014

Environ Model Assess

View full text Add to dashboard Cite

In common with other types of complex models, energy system models have opaque structures, making it difficult to understand both changes between model versions and the extent of changes described in research papers. In this paper, we develop the principle of model archaeology as a formal method to quantitatively examine the balance and evolution of energy system models, through the ex post analysis of both model inputs and outputs using a series of metrics. These metrics help us to understand how models are developed and used and are a powerful tool for effectively targeting future model improvements. The usefulness of model archaeology is demonstrated in a case study examining the UK MARKAL model. We show how model development has been influenced by the interests of the UK government and the research projects funding model development. Despite these influences, there is clear evidence of a strategy to balance model complexity and accuracy when changes are made. We identify some important long-term trends including higher technology capital costs in subsequent model versions. Finally, we discuss how model archaeology can improve the transparency of research model studies.

show abstract

“…A techno-centric perspective on reducing the impact of transport and travel upon climate change and altering resource demand focuses on the role of technology in allowing for alternative fuels for propulsion (e.g. Anandarajah, 2013) and increased fuel efficiency. Technology demonstrates wider potential to make travel more efficient, affecting personal and freight transport (Golob & Regan 2001;Hesse & Rodrigue 2004); Information Technology can assist with making journeys by both private and public transport (Line et al 2011) and can also be used as a valuable source of information as individuals and groups travel through time and space (Velaga et al 2012) as well as influencing travel behaviours (Tang & Thakuriah 2012) and potentially reducing the need to travel (Kenyon et al 2003).…”

Section: Challenges For the Next 40 Yearsmentioning

confidence: 99%

Transport Geography: perspectives upon entering an accomplished research sub-discipline

Curl

Davison

2014

Journal of Transport Geography

View full text Add to dashboard Cite

Decarbonising road transport with hydrogen and electricity: Long term global technology learning scenarios

Cited by 132 publications

References 14 publications

Modeling technological change and its impact on energy savings in the U.S. iron and steel sector

Modeling technological change and its impact on energy savings in the U.S. iron and steel sector

Characterising the Evolution of Energy System Models Using Model Archaeology

Transport Geography: perspectives upon entering an accomplished research sub-discipline

Contact Info

Product

Resources

About