Energy systems modeling for twenty-first century energy challenges

By Stefan Pfenninger, Adam Hawkes, James Keirstead. 2014

1,073 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/76abe7169814a75f85f49993eb101f11cd1bf954

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In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Energy transition scenarios: What policies, societal attitudes, and technology developments will realize the EU Green Deal? (2022, background): “On the one hand, energy system modelling, while initially originating from energy security and cost concerns, is nowadays mainly motivated by climate change policies and the need for signi ﬁ cant GHG reduction targets [9,10].”
Model-based policymaking or policy-based modelling? How energy models and energy policy interact (2021, background): “Despite the growing relevance of models for ambitious climate and energy policymaking [3], we know little about the impact of computer-”
The role of the discount rates in energy systems optimisation models (2016, background): “In Europe, most of the countries have developed their 3 own national TIMES model [2].”
Impact of the level of temporal and operational detail in energy-system planning models (2016, background): “Historically, this level of detail could be ignored in planning models without a major impact on the quality of the results [14, 15].”
Carbon‐Neutral Pathways for the United States (2021, background): “, forecasting near‐term oil prices or criteria air pollutants from power plants) led to decisions about model structure that while appropriate at the time, make them less useful for studying the transition to low‐carbon energy systems (Pfenninger et al., 2014).”
Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany (2017, background): “A more in depth description of the challenges of modelling energy systems can be found in Pfenninger et al. (2014) [6].”
An integrated systematic analysis of uncertainties in UK energy transition pathways (2015, background): “In response to policy makers' difficulties in assessing uncertainties, modellers have repeated calls to improve the frequency, sophistication and transparency of uncertainty analysis in computational modelling of energy, environmental and economic interactions (Morgan and Small, 1992; Kann and Weyan”
Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints (2018, background): “the design of a future low-emission energy system (see [12] for a recent review).”
On the History and Future of 100% Renewable Energy Systems Research (2022, background): “to community wellbeing and acceptance, it is increasingly understood that techno-economic energy system transition analyses lack critical elements [223], [448]–[450] and may fail the intended targets.”
A Review of Criticisms of Integrated Assessment Models and Proposed Approaches to Address These, through the Lens of BECCS (2019, background): “As IAMs operate at a global scale over many decades, lack of computational power has meant that they do not represent energy systems at very fine geographic or temporal scales [73].”
Classification and challenges of bottom-up energy system models - A review (2020, background): “[22] have examined four challenges of energy system modelling: 1) resolution in time and space 2) balancing uncertainty and”
Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security (2015, background): “However, large-scale energy system models do not incorporate the necessary degree of spatial and temporal detail to examine different ways in which different mixes of renewables with existing technologies could be achieved [9].”
Review and classification of barriers and enablers of demand response in the smart grid (2017, background): “In particular, incorporation of the ‘human dimension’ has been highlighted as necessary to understand energy systems as a whole [121].”