eTransport: Investment planning in energy supply systems with multiple energy carriers

Bakken, B.H.; Skjelbred, Hans Ivar; Wolfgang, Ove

doi:10.1016/j.energy.2007.01.003

Cited by 81 publications

(36 citation statements)

References 13 publications

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“…More details of the investment algorithm and the emission handling in eTransport are previously published in [14] and will not be presented here.…”

Section: The Etransport Modelmentioning

confidence: 99%

“…The model is separated into an operational model (energy system model) and an investment model where both economical and environmental aspects are handled by a superior modeling structure [14]. In the operational model there are sub-models for each energy carrier and for The task for the investment model is to find the optimal set of investments during the period of analysis, based on investment costs for different projects and the pre-calculated annual operating costs for different periods and states.…”

Section: The Etransport Modelmentioning

confidence: 99%

“…The optimization model eTransport is developed for expansion planning in energy systems where several alternative energy carriers and technologies are considered simultaneously [11]- [14]. The model uses a detailed network representation of technologies and infrastructure to enable identification of single components, cables and pipelines.…”

Section: The Etransport Modelmentioning

confidence: 99%

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Linear mixed-integer models for biomass supply chains with transport, storage and processing

Dyken

Bakken

Skjelbred

2010

Energy

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154

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This paper presents a linear mixed integer modeling approach for basic components in a biomass supply chain including supply, processing, storage and demand of different types of biomass.The main focus in the biomass models lies on the representation of the relationship between moisture and energy content in a discretized framework and on handling of long term processes like storage with passive drying effects in the optimization. The biomass models are formulated consistently with current models for gas, electricity and heat infrastructures in the optimization model 'eTransport', which is designed for planning of energy systems with multiple energy carriers. To keep track of the varying moisture content in the models and its impact on other biomass properties, the current node structure in eTransport has been expanded with a special set of biomass nodes. The Node, Supply, Dryer and Storage models are presented in detail as examples of the approach. A sample case study is included to illustrate the functionality implemented in the models.

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“…More details of the investment algorithm and the emission handling in eTransport are previously published in [14] and will not be presented here.…”

Section: The Etransport Modelmentioning

confidence: 99%

Section: The Etransport Modelmentioning

confidence: 99%

Section: The Etransport Modelmentioning

confidence: 99%

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Linear mixed-integer models for biomass supply chains with transport, storage and processing

Dyken

Bakken

Skjelbred

2010

Energy

Self Cite

154

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“…Where the physical infrastructure of different energy vector systems meet, for example gas-fired power stations or mixed-demand centres, there is already joint working taking place (necessary in both planning and operation). HESA exploits this joint working procedure between sectors to coordinate future infrastructure installations and reinforcements while working for a common goal thus representing more 'horizontally integrated energy companies' 22 that work across more traditional energy company boundaries (and their principal vectors). The HESA tool facilitates the investigation of feasible future energy infrastructure designs when different energy vector systems (i.e.…”

Section: Modelling Approachmentioning

confidence: 99%

Multienergy vector modelling of a Scottish Energy System: Transitions and technology implications

Robertson

Galloway

2017

Proceedings of the Institution of Mechanical Engineers, Part A:

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The Scottish Government's commitment for 100% of electricity consumed in Scotland to be from renewable, zero-carbon sources by 2020 continues to drive change in the energy system alongside European and UK targets.The growth of renewables in Scotland is being seen at many scales including industrial, domestic and community generation. In these latter two cases a transition from the current 'top down' energy distribution system to a newer approach is emerging. The work of this paper will look at a 'bottom up' view that sees community led distributed energy at its centre. This paper uses the modelling tool HESA to investigate high penetrations of Distributed Generation (DG) in the Angus Region of Scotland. Installations of DG will follow Thousand Flowers transition pathway trajectory 1 which sees more than 50% of electricity demand being supplied by DG by 2050. From this, insights around the technological and socio-political feasibility, consequences and implications of high penetrations of DG in the UK energy system are presented. Results demonstrate the influence that system change will have on regional and local emission levels under four separate scenarios. It is shown that the penetration of DG requires supplementary installations of reliable and long term storage alongside utilisation of transmission and transportation infrastructures to maximise the potential of distributed generation and maximise whole system benefits. Importantly, there must be a level of co-ordination and support to realise a shift to a highly distributed energy future to ensure there is a strong economic case with a reliable policy backing.

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“…Their model is specific to the conversion of coffee cut stems to bio-ethanol, which is blended with gasoline. van Dyken et al [25] extended the eTransport model [26] to include biomass and optimised only the operation 150 of the system over 12 one-week periods. The eTransport model, however, can consider both investment and operation but for computational efficiency it decomposes the problem into two parts: an investment model that determines the infrastructure and set of technologies using dynamic programming and an operational model that then minimises the cost of meeting the predefined energy demands using MILP.…”

mentioning

confidence: 99%

BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation

Samsatli

Shah

2015

Applied Energy

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eTransport: Investment planning in energy supply systems with multiple energy carriers

Cited by 81 publications

References 13 publications

Linear mixed-integer models for biomass supply chains with transport, storage and processing

Linear mixed-integer models for biomass supply chains with transport, storage and processing

Multienergy vector modelling of a Scottish Energy System: Transitions and technology implications

BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation

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