Flexibility index and decreasing the costs in energy systems with high share of renewable energy

Abstract Recent European Green Deal includes decision to become carbon neutral and even carbon negative region in order to tackle the climate crisis. Main technical challenge and a key factor in techno-economic analysis of the energy system of the future, based on variable renewable energy sources, is their variable production and its integration. In order to deal with this problem in long-term energy planning, different approaches have been tried, focusing on overcapacity, storage capacities and sectors coupling with heating and transport. In this research, different flexibility options, storage and demand response technologies are modelled on a national energy systems level. With the case study area modelled in EnergyPLAN model, the goal of the research is to show how each flexibility option influences the economically feasible generation capacities of renewable energy sources, storage technologies and demand response in order to reach a certain share of renewable energy in final energy consumed. To follow the numerous possible configurations of the system, flexibility index for each option and a flexibility vector for each scenario are introduced. Results show which flexibility options play key role in important steps of energy transition to 70%, 80%, 90% and 100% RES energy system.

[1]  Thomas Spiegel,et al.  Impact of Renewable Energy Expansion to the Balancing Energy Demand of Differential Balancing Groups , 2018, Journal of Sustainable Development of Energy, Water and Environment Systems.

[2]  Patrick Sullivan,et al.  System Integration of Wind and Solar Power in Integrated Assessment Models: A Cross-Model Evaluation of New Approaches , 2017 .

[3]  N. Duić,et al.  The potential of power-to-heat demand response to improve the flexibility of the energy system: An empirical review , 2020 .

[4]  Francesco Calise,et al.  Detailed Modelling of the Deep Decarbonisation Scenarios with Demand Response Technologies in the Heating and Cooling Sector: A Case Study for Italy , 2017 .

[5]  Jiří Jaromír Klemeš,et al.  A system analysis tool for sustainable biomass utilisation considering the Emissions-Cost Nexus , 2020 .

[6]  Rp Rick Kramer,et al.  Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems , 2018 .

[7]  N. Duić,et al.  Increasing the integration of variable renewable energy in coal-based energy system using power to heat technologies: The case of Kosovo , 2020 .

[8]  Francesco Calise,et al.  Coupling electrodialysis desalination with photovoltaic and wind energy systems for energy storage: Dynamic simulations and control strategy , 2020 .

[9]  W. Schill,et al.  Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials , 2018 .

[10]  Iver Bakken Sperstad,et al.  The impact of flexible resources in distribution systems on the security of electricity supply: A literature review , 2020 .

[11]  Goran Krajačić,et al.  Increasing the integration of solar photovoltaics in energy mix on the road to low emissions energy system – Economic and environmental implications , 2019 .

[12]  Neven Duić,et al.  Two methods for decreasing the flexibility gap in national energy systems , 2016 .

[13]  Ingo Stadler,et al.  Power grid balancing of energy systems with high renewable energy penetration by demand response , 2008 .

[14]  Nadia Maïzi,et al.  Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis , 2016 .

[15]  David Connolly,et al.  Smart energy and smart energy systems , 2017 .

[16]  Neven Duić,et al.  Analysis of displacing natural gas boiler units in district heating systems by using multi-objective optimization and different taxing approaches , 2020 .

[17]  Brian Vad Mathiesen,et al.  The feasibility of synthetic fuels in renewable energy systems , 2013 .

[18]  Hans Christian Gils,et al.  Assessment of the theoretical demand response potential in Europe , 2014 .

[19]  F. Profumo,et al.  An electricity triangle for energy transition: Application to Italy , 2020, Applied Energy.

[20]  Angel Nikolaev,et al.  Development and assessment of renewable energy policy scenarios by 2030 for Bulgaria , 2017 .

[21]  Tapas K. Das,et al.  A computationally efficient electricity price forecasting model for real time energy markets , 2016 .

[22]  Jakob Zinck Thellufsen,et al.  Contextual Aspects of Smart City Energy Systems Analysis: Methodology and Tools , 2017 .

[23]  Alessandro Pluchino,et al.  From self-consumption to decentralized distribution among prosumers: A model including technological, operational and spatial issues , 2020 .

[24]  Francesco Mancini,et al.  Energy Retrofitting Effects on the Energy Flexibility of Dwellings , 2019, Energies.

[25]  René Hofmann,et al.  Impact of thermal storage capacity, electricity and emission certificate costs on the optimal operation of an industrial energy system , 2019, Energy Conversion and Management.

[26]  Robin Girard,et al.  Quantifying power system flexibility provision , 2020, Applied Energy.

[27]  R. Heffron,et al.  Industrial demand-side flexibility: A key element of a just energy transition and industrial development , 2020, Applied Energy.

[28]  Christian Breyer,et al.  A comparative analysis of electricity generation costs from renewable, fossil fuel and nuclear sources in G20 countries for the period 2015-2030 , 2018, Journal of Cleaner Production.

[29]  S. Bolwig,et al.  Pathway Analysis of a Zero-Emission Transition in the Nordic-Baltic Region , 2019, Energies.

[30]  H. Rogner,et al.  Incorporating flexibility requirements into long-term energy system models – A case study on high levels of renewable electricity penetration in Ireland , 2014 .

[31]  Nikola Rajaković,et al.  Demand response capacity estimation in various supply areas , 2015 .

[32]  E. Haesen,et al.  Power System Flexibility Tracker: Indicators to track flexibility progress towards high-RES systems , 2018, Renewable Energy.

[33]  P. Jacquod,et al.  How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid , 2017, Energy.

[34]  Karim Zaghib,et al.  Rechargeable lithium batteries for energy storage in smart grids , 2015 .

[35]  Matthias Rössler,et al.  Simulation-based Strategies for Smart Demand Response , 2017 .

[36]  M. Strubegger,et al.  The role of electricity storage and hydrogen technologies in enabling global low-carbon energy transitions , 2018 .

[37]  O. Edelenbosch,et al.  Alternative pathways to the 1.5 °C target reduce the need for negative emission technologies , 2018, Nature Climate Change.

[38]  Henrik Lund,et al.  Renewable heating strategies and their consequences for storage and grid infrastructures comparing a smart grid to a smart energy systems approach , 2018 .

[39]  M. A. Ancona,et al.  Thermal integration of a high-temperature co-electrolyzer and experimental methanator for Power-to-Gas energy storage system , 2019, Energy Conversion and Management.

[40]  Henrik Madsen,et al.  Characterizing the energy flexibility of buildings and districts , 2018, Applied Energy.

[41]  Alexandros Flamos,et al.  A modular high-resolution demand-side management model to quantify benefits of demand-flexibility in the residential sector , 2020 .

[42]  L. de Santoli,et al.  Analysing economic and environmental sustainability related to the use of battery and hydrogen energy storages for increasing the energy independence of small islands , 2018, Energy Conversion and Management.

[43]  Paul Gauché,et al.  Rock bed thermal storage: Concepts and costs , 2016 .

[44]  Ivan Rajšl,et al.  Techno-Economic Analysis of Common Work of Wind and Combined Cycle Gas Turbine Power Plant by Offering Continuous Level of Power to Electricity Market , 2018, Journal of Sustainable Development of Energy, Water and Environment Systems.

[45]  Popi Konidari,et al.  A multi-criteria evaluation method for climate change mitigation policy instruments , 2007 .