Two methods for decreasing the flexibility gap in national energy systems

More variable renewable energy sources and energy efficiency measures create an additional flexibility gap and require a novel energy planning method for sustainable national energy systems. The firstly presented method uses only EnergyPLAN tool in order to decrease the flexibility gap in a national energy system. Generic Optimization program (GenOpt®) is an optimization program for the minimization of a cost function that is evaluated by an external simulation program, such as EnergyPLAN, which was used as the second method in this research. Successful strategies to decrease the flexibility gap are verified on the case of the Serbian national energy system using two methods for its structure design: (1) the iterative method, based on heuristics and manual procedure of using only EnergyPLAN, and (2) the optimization method, based on soft-linking of EnergyPLAN with GenOpt®. The latter method, named EPOPT (EnergyPlan-genOPT), found the solution for the structure of the sustainable national energy system at the total cost of 8190 M€, while the iterative method was only able to find solutions at the cost in the range of 8251–8598 M€ by targeting only one sustainability goal. The advantages of the EPOPT method are its accuracy, user-friendliness and minimal costs, are valuable for planners.

[1]  Michael Milligan,et al.  Advancing System Flexibility for High Penetration Renewable Integration , 2015 .

[2]  Thomas Hamacher,et al.  Integration of wind and solar power in Europe: Assessment of flexibility requirements , 2014 .

[3]  Brian Vad Mathiesen,et al.  Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union , 2016 .

[4]  Peter F. Cowhey The Problems of Plenty: Energy Policy and International Politics , 1985 .

[5]  Neven Duić,et al.  A realistic EU vision of a lignite-based energy system in transition: case study of Serbia , 2014 .

[6]  Wouter Nijs,et al.  Addressing flexibility in energy system models , 2015 .

[7]  Liviu Miclea,et al.  A Romanian energy system model and a nuclear reduction strategy , 2011 .

[8]  P. A. Østergaard,et al.  Assessment and evaluation of flexible demand in a Danish future energy scenario , 2014 .

[9]  Thomas H. Naylor,et al.  Verification of Computer Simulation Models , 1967 .

[10]  Harry Boyer,et al.  Model optimization and validation with experimental data using the case study of a building equipped with photovoltaic panel on roof: Coupling of the building thermal simulation code ISOLAB with the generic optimization program GenOpt , 2013 .

[11]  Brian Vad Mathiesen,et al.  From electricity smart grids to smart energy systems – A market operation based approach and understanding , 2012 .

[12]  Paul Denholm,et al.  Grid flexibility and storage required to achieve very high penetration of variable renewable electricity , 2011 .

[13]  Michael Wetter,et al.  Generic Optimization Program , 1998 .

[14]  Juan Ma,et al.  Evaluating and planning flexibility in a sustainable power system with large wind penetration , 2012 .

[15]  Ilija Batas Bjelić,et al.  Simulation-based optimization of sustainable national energy systems , 2015 .

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

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

[18]  Stjepan Sučić,et al.  Automation of flexible distributed multi-generation systems by utilizing optimized middleware platform , 2016 .

[19]  Enrico Fabrizio,et al.  A simulation-based optimization method for cost-optimal analysis of nearly Zero Energy Buildings , 2014 .

[20]  Manuel Welsch,et al.  Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code , 2012 .

[21]  Brian Vad Mathiesen,et al.  The role of Carbon Capture and Storage in a future sustainable energy system , 2012 .

[22]  Poul Alberg Østergaard,et al.  Reviewing EnergyPLAN simulations and performance indicator applications in EnergyPLAN simulations , 2015 .

[23]  Mark Z. Jacobson,et al.  Flexibility mechanisms and pathways to a highly renewable US electricity future , 2016 .

[24]  Joachim Bertsch,et al.  Flexibility in Europe's power sector - an additional requirement or an automatic complement? , 2013 .

[25]  H. Lund,et al.  Energy saving synergies in national energy systems , 2015 .

[26]  Ertunga C. Özelkan,et al.  Optimizing complex building design for annual daylighting performance and evaluation of optimization algorithms , 2015 .

[27]  Brian Vad Mathiesen,et al.  4th Generation District Heating (4GDH) Integrating smart thermal grids into future sustainable energy systems , 2014 .

[28]  Ken Dragoon,et al.  Flexibility options in electricity systems , 2014 .

[29]  Ernst Worrell,et al.  The unrecognized contribution of renewable energy to Europe's energy savings target , 2011 .

[30]  Neven Duić,et al.  Sustainability of remote communities: 100% renewable island of Hvar , 2013 .

[31]  Neven Duić,et al.  Increasing wind power penetration into the existing Serbian energy system , 2013 .

[32]  E. Lannoye,et al.  Evaluation of Power System Flexibility , 2012, IEEE Transactions on Power Systems.

[33]  P. Gilman,et al.  MICROPOWER SYSTEM MODELING WITH HOMER , 2005 .

[34]  Pierluigi Mancarella,et al.  Multi-energy systems : An overview of concepts and evaluation models , 2015 .

[35]  Gary James Jason,et al.  The Logic of Scientific Discovery , 1988 .

[36]  Machteld van den Broek,et al.  Least-cost options for integrating intermittent renewables in low-carbon power systems , 2016 .

[37]  Paul Denholm,et al.  Role of Energy Storage with Renewable Electricity Generation , 2010 .

[38]  Kenneth C. Budka,et al.  Introduction to Smart Grids , 2014 .

[39]  John Scowcroft,et al.  Flexible generation: Backing up renewables , 2011 .

[40]  Keywan Riahi,et al.  Impacts of considering electric sector variability and reliability in the MESSAGE model , 2013 .

[41]  Neven Duić,et al.  Impact of high penetration of wind and solar PV generation on the country power system load: The case study of Croatia , 2016 .

[42]  Henrik Lund Flexible energy systems: integration of electricity production from CHP and fluctuating renewable energy , 2003 .

[43]  Ilija Batas,et al.  Valuing the moderation options in Serbia for higher wind penetrations. , 2014 .

[44]  Daniela Thrän,et al.  Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources , 2014 .

[45]  Henrik Lund,et al.  Chapter 5 – Analysis: Large-Scale Integration of Renewable Energy , 2014 .