A review of modelling tools for energy and electricity systems with large shares of variable renewables

Ringkjøb, Hans-Kristian; Haugan, Peter M.; Solbrekke, Ida Marie

doi:10.1016/j.rser.2018.08.002

Cited by 590 publications

(318 citation statements)

References 121 publications

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“…They examined 47 different energy optimization planning software programs used across Europe. Ringkjøb et al [37] conducted a thorough investigation of 75 modelling software programs that are used for the analysis of current energy and electricity systems. It was observed that 45 out of these mentioned 75 software tools included LP, MILP, NLP, MOP, and heuristic optimization tool.…”

Section: The Literature Of Optimization In Terms Of Res Planningmentioning

confidence: 99%

Optimum Renewable Energy Investment Planning in Terms of Current Deficit: Turkey Model

et al. 2020

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In this study, a methodology was suggested for wind and solar energy investment plans through linear optimization model for the countries with an energy-based current deficit problem. The originality of the study is that it is a renewable energy investment model based on the functioning of the balance of payments for current deficit reduction, which has not previously been encountered in the literature. While creating the model, without causing external economic imbalance, certain parameters were taken into consideration such as profit transfers for the foreign direct investments, interest payments for the domestic investments, import rates for the wind and solar energy systems, energy electric power production values, electric power load balance, electricity transmission infrastructure, CO 2 emission, future electric power demand projection, and import source rates in the electric power production. It was proven that the model, for the 2019-2030 period in Turkey, not only is an opportunity for decreasing the current deficit but also ensures reaching the CO 2 emission reduction target. Additionally, through the investments in wind and solar energy, it was calculated that fossil-based electric power production will decrease by 80%, and a CO 2 reduction will be provided, which is equivalent of 100 million tonnes GWh natural gas. As a more general result, an optimization model was created which provides a solution for countries coping with energy-based current deficit in economic terms, energy-based air pollution in environmental terms, and renewable energy technology insufficiency.

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Section: The Literature Of Optimization In Terms Of Res Planningmentioning

confidence: 99%

Optimum Renewable Energy Investment Planning in Terms of Current Deficit: Turkey Model

et al. 2020

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“…Power system models (PSMs) form a subset concerned primarily with the electricity sector. A common use of PSMs is to calculate the optimal generation mix by minimising the sum of installation and generation costs while meeting demand (Stoft, 2002;Bazmi & Zahedi, 2011;Ringkjøb et al, 2018). Models considering renewables require coherent weather timeseries such as windspeeds or solar irradiances as inputs.…”

Section: Contextmentioning

confidence: 99%

Importance subsampling: improving power system planning under climate-based uncertainty

Hilbers

Brayshaw

2019

Applied Energy

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“…Over the last decade, the model enhancements especially concerned the adequate representation of intermittent renewables. A detailed review of tools for energy systems with high shares of renewables can be found in [16]. Most energy system models use costs as a determining factor but models are increasingly including GHG and single emissions such as CO 2 , NO X , SO X or CH 4 as constraints to meet environmental policy requirements or goals [16].…”

Section: Introductionmentioning

confidence: 99%

“…A detailed review of tools for energy systems with high shares of renewables can be found in [16]. Most energy system models use costs as a determining factor but models are increasingly including GHG and single emissions such as CO 2 , NO X , SO X or CH 4 as constraints to meet environmental policy requirements or goals [16]. Decision support from an environmental perspective, however, needs to go beyond cost optimisation and environmental constraints and demands for more environmental categories.…”

Section: Introductionmentioning

confidence: 99%

LAEND: A Model for Multi-Objective Investment Optimisation of Residential Quarters Considering Costs and Environmental Impacts

et al. 2020

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Renewable energy systems are especially challenging both in terms of planning and operation. Energy system models that take into account not only the costs but also a wide range of environmental impacts support holistic planning. In this way, burden-shifting caused by greenhouse gas mitigation can be identified and minimised at an early stage. The Life cycle Assessment based ENergy Decision support tool LAEND combines a multi-criteria optimising tool for energy system modelling and an integrated environmental assessment for the analysis of decentral systems. By a single or multi-objective optimisation, considering costs, environmental impact indicators as well as weighted impact indicator sets, the model enables the determination of optimal investment planning and dispatch of the analysed energy system. The application of LAEND to an exemplary residential quarter shows the benefit of the model regarding the identification of conflicting goals and of a system that compensates for the different objectives. The observed shift of environmental impacts from the use phase to the production phase of the renewable electricity generators points further to the importance of the integration of the entire life cycle.Energies 2020, 13, 614 2 of 22 detailed consideration. On the community level, less technical, administrative and economic resources for sustainable energy projects are available which hinders a successful transition. Decision support at the community level, therefore gains importance [8].With regard to climate impacts, renewable energies are often considered carbon-free in general and to emit less or no emissions to the air in the use phase (besides the burning of biomass) [9]. But the utilisation of renewable energies like e.g., wind and photovoltaics, lead to new conflicts of goals only partly implicated by storage needs: use of resources, especially the exploitation of rare earth materials, toxicities, land use and the loss of biodiversity might increase [10][11][12][13]. Additionally, the environmental impacts shift from the use phase (key emission phase of fossil energies) to the manufacturing phase of the energy converters (key emission phase of renewable energies and storages) [14].Thus, decision support considering the environmental impact of decentral energy systems gains importance and needs to cope with additional requirements in terms of:

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A review of modelling tools for energy and electricity systems with large shares of variable renewables

Cited by 590 publications

References 121 publications

Optimum Renewable Energy Investment Planning in Terms of Current Deficit: Turkey Model

Optimum Renewable Energy Investment Planning in Terms of Current Deficit: Turkey Model

Importance subsampling: improving power system planning under climate-based uncertainty

LAEND: A Model for Multi-Objective Investment Optimisation of Residential Quarters Considering Costs and Environmental Impacts

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