Role of renewable energy policies in energy dependency in Finland: System dynamics approach

Aslani, Alireza; Helo, Petri; Naaranoja, Marja

doi:10.1016/j.apenergy.2013.08.015

Cited by 200 publications

(77 citation statements)

References 25 publications

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“…Furthermore, coupling system dynamics with evaluation tools and methods, it is possible to simulate medium-term effects of potential futures [42]. As Aslani et al (2014) stated, only little research has been done using the system dynamics methodology for dynamical modeling of renewable energy policies containing energy and climate policies [43]. The reasons for that are the complexities when it comes to combining energy and climate policies and modeling their feedbacks as well as evaluation of results of such a modeling approach.…”

Section: System Dynamicsmentioning

confidence: 99%

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Horschig

Thrän

2017

Energ Sustain Soc

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This study reviews energy policy evaluation approaches on their capability to estimate a successful implementation of renewable energy policies. This is predominantly done via energy system modeling and analysis. Although modeling the possible success and effects is not a precondition for policy making, it is a powerful tool to support decision makers in policy making. This awareness has led to the development of numerous modeling approaches with many case studies. Therefore, effort has to be made to evaluate recent modeling approaches that could be suitable for renewable energy policy evaluation. It is the aim of this paper to provide an overview on recent renewable energy policy modeling approaches that are capable in evaluating the success and side effects to other sectors of renewable energy policies. We will highlight advantages and drawbacks of these approaches and provide a framework assessing the suitability of the presented methodologies for the evaluation of renewable energy policies. We provide a tabular overview that enables the reader to quickly derive information on the suitability of the several modeling approaches to evaluate renewable energy policies. Keywords: Policy evaluation, Renewable energy, Policy modeling, Decision support ReviewIn 1980, the term Energiewende was first used in a study of the Öko-Institut [1]. Since then, several policies were installed to follow the idea of a decarbonized energy system. This includes among others the support of the development of renewable energy and associated technologies, efficiency actions, renewable fuels, reduced import independence from fossil fuels, rural development, the decrease of long-term economic costs in kind of external effects, and R&D support [2][3][4]. International Energy Agency (IEA) defines renewable energy as energy derived from natural sources like sunlight, wind or some forms of biomass in terms of being not finite like fossil fuels having simultaneously a smaller impact on the environment [5]. Interplay between renewable energies, energy efficiency like green buildings, and a sustainable transport sector is crucial for achieving the imposed goals of the German Government and the Energiewende. Renewable energy is characterized by replenishing at a faster rate than being consumed. Like Germany, several countries implemented strategies, policies, and stimulus packages to promote the transition towards a renewable energy system and increase their overall share of renewable energy in the energy system. However, increasing the share of renewable energy is often associated with sustainability challenges [6,7]. The key elements of a sustainable development like economic performance, environmental protection, and social responsibility need to be considered in designing or evaluating support schemes, policies, or stimulus packages. But the design and evaluation of renewable energy promoting policies is a difficult task considering the multiple aspects policy designers and decision makers have to consider. Governmental intervention...

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Section: System Dynamicsmentioning

confidence: 99%

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Horschig

Thrän

2017

Energ Sustain Soc

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“…In a more recent publication [51], VTT has modeled the energy system for 2050 by scenario analysis, highlighting structural changes from technical to behavioral changes. Other studies have also addressed the future of Finnish energy system, from societal and qualitative perspective [52], as well as system dynamics approach [53,54]. In a more detailed study, Kiviluoma [55] highlights the role of heating systems in further penetration of wind.…”

Section: Reference Model and Input Datamentioning

confidence: 99%

Wind Integration into Energy Systems with a High Share of Nuclear Power—What Are the Compromises?

2015

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Towards low-carbon energy systems, there are countries with ongoing plans for expanding their nuclear power capacity, and simultaneously advancing the role of variable renewable energy sources (RES), namely wind and solar energy. This crossroads of capital-intensive, baseload power production and uncontrollable, intermittent RES may entail new challenges in the optimal and economic operation of power systems. This study examines this case by hourly analysis of a national-level energy system with the EnergyPLAN modeling tool, coupled with wind integration simulations (including uncertainty) implemented using MATLAB. We evaluate the maximum feasible wind integration under different scenarios for nuclear power plants, energy demand, and the flexibility of energy infrastructure for a real case study (Finland). We propose wind-nuclear compromise charts to envision the impact of any mix of these two technologies on four parameters: total costs, power exchange, carbon emissions, and renewable energy integration. The results suggest that nuclear power constrains the room for maximum uptake of wind energy by a descending parabolic relationship. If nuclear power production exceeds 50% of the total power demand, wind will be unlikely to penetrate in shares over 15% of the respective demand. Moreover, we investigate the role of four flexibility options: demand side management, electrical energy storage, smart electric heating, and large-scale heat pumps (backed with thermal energy storage). Heat pumps (which are in connection with combined heat and power (CHP) and district heating systems) offer the highest efficiency in balancing excess power from variable RES. However, power-to-heat options offer a limited OPEN ACCESSEnergies 2015, 8 2494 capability for absorbing high-level excess power, as oversupply arises mainly in the periods with relatively low demand for heat. This calls for longer-term energy storage and/or other flexibility options to achieve the planned targets in wind-nuclear scenarios.

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“…By using the system dynamics approach, the CO 2 emission trend from 2009 to 2030 is simulated and emission reduction policies are improved, in order to achieve the best possible performance. Widening the boundaries from city/regional scale to national, in [27] a system dynamics model for evaluating renewable energy policies on dependency is proposed. The model considers the role of diversification on dependency and security of energy supply in Finland.…”

Section: Short Review Of the System Dynamics Research In Energy Planningmentioning

confidence: 99%

Strategic Energy Planning of Residential Buildings in a Smart City: A System Dynamics Approach

Caponio

Massaro

Mossa

et al. 2015

International Journal of Engineering Business Management

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Buildings are the largest urban energy consumers, but their impact can be largely cut back by improving efficiency. Policy-making plays a crucial role in harmonizing national and local incentive schemes. The authors analyse variables related to energy consumption, then propose a simulation model based on System Dynamics applied to a mediumsized Italian city. The model allows the testing of "what-if" scenarios and analysis of the results of implementing energy efficiency policies. Results stress the importance of a holistic view of urban energy processes. Simulation trends provide essential information for the city's future energy and carbon emission profiles, helping policymakers to achieve their goal.

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Role of renewable energy policies in energy dependency in Finland: System dynamics approach

Cited by 200 publications

References 25 publications

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Wind Integration into Energy Systems with a High Share of Nuclear Power—What Are the Compromises?

Strategic Energy Planning of Residential Buildings in a Smart City: A System Dynamics Approach

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