Economic effects of renewable energy expansion: A model-based analysis for Germany

Blazejczak, Jürgen; Braun, Frauke G.; Edler, Dietmar; Schill, Wolf-Peter

doi:10.1016/j.rser.2014.07.134

Cited by 130 publications

(40 citation statements)

References 27 publications

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“…RES expansion can be achieved without compromising growth or employment [8] and several financial advantages are linked to their use [9]. Business models reported in the literature depend basically on two aspects: (i) the type of the analysed resource, and (ii) the different characteristics of developing and industrialized countries [10].…”

Section: Introductionmentioning

confidence: 99%

Future Trajectories of Renewable Energy Consumption in the European Union

2018

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Renewable energy sources (RESs) are able to reduce the European Union (EU)'s dependence on foreign energy imports, also meeting sustainable objectives to tackle climate change and to enhance economic opportunities. Energy management requires a quantitative analysis and the European Commission follows the performance of each Member State (MS) in order to define the corrective measures towards 2020 targets. Starting from historical data reported in the Eurostat database and through a mathematical model, this work proposes future trajectories towards 2020 of the share of energy from renewables (REs) in terms of gross final energy consumption (GFEC). Furthermore, a quantitative analysis based on two indices-(i) the share of REs in GFEC, and (ii) gross final renewable energy consumption (GFREC) per capita-permits a comparison among 28 MSs. The share of REs in GFEC in EU 28 varies from 19.4% to 21.8% in future trajectories towards 2020. Sweden and Finland occupy the top part of the ranking, while six MSs (Belgium, France, Ireland, Luxembourg, The Netherlands, and the United Kingdom) are not able to reach the 2020 targets.

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Section: Introductionmentioning

confidence: 99%

Future Trajectories of Renewable Energy Consumption in the European Union

2018

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“…But the reality is less pessimistic: renewable technologies are on track to be cheaper than fossil alternatives [4,5], even more so if we phase out fossil fuel subsidies [6,7] and internalize risk calculations [8]. Renewables promise economic growth [9], jobs [10], and energy security [11] while reducing geopolitical tensions [12].…”

Section: Introductionmentioning

confidence: 99%

Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation

Hoekstra

Steinbuch

Verbong³

2017

Complexity

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The energy domain is still dominated by equilibrium models that underestimate both the dangers and opportunities related to climate change. In reality, climate and energy systems contain tipping points, feedback loops, and exponential developments. This paper describes how to create realistic energy transition management models: quantitative models that can discover profitable pathways from fossil fuels to renewable energy. We review the literature regarding agent-based economics, disruptive innovation, and transition management and determine the following requirements. Actors must be detailed, heterogeneous, interacting, learning, and strategizing. Technology should be represented as a detailed and heterogeneous portfolio that can develop in a bottom-up manner, using endogenous feedback loops. Assumptions about discount rates and the social cost of carbon should be configurable. The model should contain interactions between the global, national, local, and individual level. A review of modelling techniques shows that equilibrium models are unsuitable and that system dynamics and discrete event simulation are too limited. The agent-based approach is found to be uniquely suited for the complex adaptive sociotechnical systems that must be modelled. But the choice for agent-based models does not mean a rejection of other approaches because they can be accommodated within the agent-based framework. We conclude with practical guidelines.

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“…Several countries 30 have their own goals with different time lines in this regard. For example, Germany has a goal to cover 50% of the 31 generation system using renewable energy by 2030 [1], while in Finland it is 38% by 2020 [2]. Switzerland is 32 expected to phase-out nuclear energy by 2035 by increasing the energy efficiency and the share of renewable energy 33 sources.…”

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Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

et al. 2017

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9A paradigm change in energy system design tools, energy market, and energy policy is required to attain the target 10 levels in renewable energy integration and in minimizing pollutant emissions in power generation. Integrating non-11 dispatchable renewable energy sources such as solar and wind energy is vital in this context. Distributed generation 12 has been identified as a promising method to integrate Solar PV (SPV) and wind energy into grid in recent literature. 13Distributed generation using grid-tied electrical hubs, which consist of Internal Combustion Generator (ICG), non-14 dispatchable energy sources (i.e., wind turbines and SPV panels) and energy storage for providing the electricity 15 demand in Sri Lanka is considered in this study. A novel dispatch strategy is introduced to address the limitations in 16 the existing methods in optimizing grid-integrated electrical hubs considering real time pricing of the electricity grid 17 and curtailments in grid integration. Multi-objective optimization is conducted for the system design considering 18 grid integration level and Levelized Energy Cost (LEC) as objective functions to evaluate the potential of electrical 19 hubs to integrate SPV and wind energy. The sensitivity of grid curtailments, energy market, price of wind turbines 20 and SPV panels on Pareto front is evaluated subsequently. Results from the Pareto analysis demonstrate the potential 21 of electrical hubs to cover more than 60% of the annual electricity demand from SPV and wind energy considering 22 stringent grid curtailments. Such a share from SPV and wind energy is quite significant when compared to direct 23 grid integration of non-dispatchable renewable energy technologies. 24

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Economic effects of renewable energy expansion: A model-based analysis for Germany

Cited by 130 publications

References 27 publications

Future Trajectories of Renewable Energy Consumption in the European Union

Future Trajectories of Renewable Energy Consumption in the European Union

Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation

Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid

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