A review of energy systems models in the UK: Prevalent usage and categorisation

Hall, Lisa M.; Buckley, Alastair

doi:10.1016/j.apenergy.2016.02.044

Cited by 230 publications

(153 citation statements)

References 115 publications

Supporting

Mentioning

149

Contrasting

Unclassified

Order By: Relevance

“…For extensive reviews on energy system modelling it is referred to Hall and Buckley [11] and Pfenninger et al [1].…”

Section: Status Quomentioning

confidence: 99%

See 1 more Smart Citation

The Open Energy Modelling Framework (oemof) - A novel approach in energy system modelling

Hilpert¹,

Kaldemeyer²,

Krien³

et al. 2017

Preprint

View full text Add to dashboard Cite

Energy system models have become indispensable to shape future energy systems by providing insights into different trajectories. However, sustainable systems with high shares of renewable energy are characterised by growing crosssectoral interdependencies and decentralised structures. To capture important properties of increasingly complex energy systems, sophisticated and flexible modelling environments are needed. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach in energy system modelling, representation and analysis. The framework forms a structured set of tools and sub-frameworks to construct comprehensive energy system models and has been published open source under a free licence. Using a collaborative development approach and extensive documentation on different levels, the framework seeks for a maximum level of transparency. Based on a generic graph based description of energy systems it is well suited to flexibly model complex crosssectoral systems ranging from a distributed or urban to a transnational scale.This makes the framework a multi-purpose modelling environment for strategic planning of future energy systems.

show abstract

“…For extensive reviews on energy system modelling it is referred to Hall and Buckley [11] and Pfenninger et al [1].…”

Section: Status Quomentioning

confidence: 99%

“…Based on this, many models of a specific family have been build to answer research questions in the field of energy planning which is indicated by the high number of references in academic literature [11]. Similarly, MESSAGE is a prominent example and used for example for the IIASA global energy scenarios [13].…”

Section: Modelling Landscapementioning

confidence: 99%

The Open Energy Modelling Framework (oemof) - A novel approach in energy system modelling

Hilpert¹,

Kaldemeyer²,

Krien³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…It has already been mentioned by other authors that the field of energy system modelling and its models may seem opaque to outsiders [22,23]. One reason for this may be the broad definition of the term energy system model.…”

Section: Challenges In Energy System Modellingmentioning

confidence: 99%

“…considering only the power sector) vs. equilibrium models (considering the whole economy) [24]. For a comprehensive description of the model landscape as well as of model topologies we refer to existing reviews [3,23,25,26]. We will restrict our analysis to the general challenges in the field of energy system modelling.…”

Section: Challenges In Energy System Modellingmentioning

confidence: 99%

“…Contrary to increasing model transparency, publishing solely aggregated results of energy system models is still a common procedure. For instance, a list of models used in the UK shows that input data and code of the majority of models are not open [23]. As almost any result can be generated by modifying decisive input data, variables or code, the common practice makes repeatable results impossible.…”

Section: Scientific Standardsmentioning

confidence: 99%

See 1 more Smart Citation

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Hilpert¹,

Günther²,

Kaldemeyer³

et al. 2017

Preprint

View full text Add to dashboard Cite

These authors contributed equally to this work. AbstractThe process of modelling energy systems is accompanied by challenges inherently connected with mathematical modelling. However, due to modern realities in the 21st century, existing challenges are gaining in magnitude and are supplemented with new ones. Modellers are confronted with a rising complexity of energy systems and high uncertainties on different levels. In addition, interdisciplinary modelling is necessary for getting insight in mechanisms of an integrated world. At the same time models need to meet scientific standards as public acceptance becomes increasingly important. In this intricate environment model application as well as result communication and interpretation is also getting more difficult.In this paper we present the open energy modelling framework (oemof) as a novel approach for energy system modelling and derive its contribution to existing challenges. Therefore, based on literature review, we outline challenges for energy system modelling as well as existing and emerging approaches. Based on a description of the philosophy and elementary structural elements of oemof, a qualitative analysis of the framework with regard to the challenges is undertaken. Inherent features of oemof such as the open source, open data, non-proprietary and collaborative modelling approach are preconditions to meet modern realities of energy modelling. Additionally, a generic basis with an object-oriented implementation allows to tackle challenges related to complexity of highly integrated future energy systems and sets the foundation to address uncertainty in the future. Experiences from the collaborative modelling approach can enrich interdisciplinary modelling activities.Our analysis concludes that there are remaining challenges that can neither be tackled by a model nor a modelling framework. Among these are problems connected to result communication and interpretation.

show abstract

Participatory energy futures as decision support on subnational scales

Copeland

2023

Env Pol Gov

View full text Add to dashboard Cite

This paper argues the case for participatory exploratory energy futures development to assist net zero emissions decision making on subnational scales (local and regional authorities, communities, and neighbourhoods). There are many challenges for net zero decision making on subnational scales in the United Kingdom including a lack of statutory responsibility and societal consent for the local transformation required, and no allocation of emissions reduction to meet the national net zero emissions legislated target in aggregate. Participatory exploratory energy futures can contribute to addressing these challenges and support local decision making. This is by exploring diverse possible futures and understanding the capacity for local climate change mitigation. Participatory exploratory energy futures can act too as a seeding strategy for wider debates on a preferred local future. A framework for participatory exploratory energy futures using the 2 × 2 matrix method is proposed. It is envisaged that these exercises would be complementary to other activities on subnational scales such as climate assemblies or ‘mini‐publics’. Local electoral cycles and a lack of statutory responsibility can lead to there being a focus on implementing mini‐public recommendations that are feasible in the near term. The participatory exploratory futures developed explore possibilities for the local energy system and how it may evolve in a holistic manner not just in the near term but the longer term. When local policy and decision making is recognised as aligning with the desired rather than undesired future, this can motivate all in the herculean efforts to avoid dangerous levels of climate change.

show abstract

A review of energy systems models in the UK: Prevalent usage and categorisation

Cited by 230 publications

References 115 publications

The Open Energy Modelling Framework (oemof) - A novel approach in energy system modelling

The Open Energy Modelling Framework (oemof) - A novel approach in energy system modelling

Addressing Energy System Modelling Challenges: The Contribution of the Open Energy Modelling Framework (oemof)

Participatory energy futures as decision support on subnational scales

Contact Info

Product

Resources

About