Analysis of Long-Term Variable Renewable Energy Heavy Capacity Plans Including Electric Vehicle and Hydrogen Scenarios: Methodology and Illustrative Case Study for Turkey

Following COP26, many countries are embarking on decarbonization strategies for the power sector that may include inter alia storage, hydrogen, and carbon capture (and storage). There is also significant increase in load that may come in the form of electric vehicles (EV) charging and hydrogen requirement for decarbonization of other sectors. While there is a growing literature around long-term decarbonization strategies, there is still ample room for a practical methodology to rigorously test capacity plans to include a range of options inter alia re- optimization of the mix of renewable technologies, better coordination of the (EV) load from a system perspective, or augmenting the plan with battery energy storage (BESS) and hydrogen. This paper presents our research on EV load and green hydrogen modeling including how they can be integrated into long-term electricity models. We also present a methodology that allows planners to undertake a rigorous assessment that can be readily implemented using the World Bank Electricity Planning Model (EPM). The application of the model is illustrated through a case study for Turkey (Türkiye) for 2050. The case study shows how an incumbent policy-driven capacity plan for 2050 that included 33% contribution from variable renewable energy (VRE) may be prone to unserved energy risk during winter months due to seasonal variability of VRE. The analysis goes on to demonstrate how the plan can be reinforced with additional peaking gas turbines, re- optimization of wind and solar, BESS and hydrogen. Coordinated charging of EVs is also shown to bring significant relief to investment requirements.

[1]  W. Schill,et al.  Impacts of power sector model features on optimal capacity expansion: A comparative study , 2022, Renewable and Sustainable Energy Reviews.

[2]  Ilya Chernyakhovskiy,et al.  Regional Energy Deployment System (ReEDS) Model Documentation: Version 2020 , 2021 .

[3]  Lulu Xue,et al.  Simulator to Quantify and Manage Electric Vehicle Load Impacts on Low-voltage Distribution Grids , 2021, World Resources Institute.

[4]  M. Muratori,et al.  Heavy-duty truck electrification and the impacts of depot charging on electricity distribution systems , 2021, Nature Energy.

[5]  Debabrata Chattopadhyay,et al.  Cross-Border Interconnectors in South Asia: Market-Oriented Dispatch and Planning , 2020, IEEE Access.

[6]  Wesley Cole,et al.  Cost Projections for Utility-Scale Battery Storage: 2020 Update , 2020 .

[7]  M. Strubegger,et al.  MESSAGEix-GLOBIOM Documentation - 2020 release , 2020 .

[8]  M. Webber,et al.  Understanding the impact of non-synchronous wind and solar generation on grid stability and identifying mitigation pathways , 2020 .

[9]  William D'haeseleer,et al.  Unit commitment constraints in long-term planning models: Relevance, pitfalls and the role of assumptions on flexibility , 2020 .

[10]  Kaifeng Xu,et al.  Analysis of the Cost and Value of Concentrating Solar Power in China , 2019 .

[11]  Clément Rames,et al.  Feasibility Analysis of Taxi Fleet Electrification using 4.9 Million Miles of Real-World Driving Data , 2019, SAE Technical Paper Series.

[12]  J. Kiviluoma,et al.  Power system flexibility for the energy transition: Part 2, IRENA FlexTool methodology , 2018 .

[13]  Till Gnann,et al.  The load shift potential of plug-in electric vehicles with different amounts of charging infrastructure , 2018, Journal of Power Sources.

[14]  Francesco Gardumi,et al.  From the development of an open-source energy modelling tool to its application and the creation of communities of practice : The example of OSeMOSYS , 2018 .

[15]  Wolf Fichtner,et al.  Generating electric vehicle load profiles from empirical data of three EV fleets in Southwest Germany , 2017 .

[16]  Erik Delarue,et al.  Selecting Representative Days for Capturing the Implications of Integrating Intermittent Renewables in Generation Expansion Planning Problems , 2017, IEEE Transactions on Power Systems.

[17]  A. Orth,et al.  Methanation of CO2 - storage of renewable energy in a gas distribution system , 2014 .

[18]  Bernd Resch,et al.  GIS-Based Planning and Modeling for Renewable Energy: Challenges and Future Research Avenues , 2014, ISPRS Int. J. Geo Inf..

[19]  B. Hodge,et al.  The Western Wind and Solar Integration Study Phase 2 , 2013 .

[20]  Vasilis Fthenakis,et al.  The optimum mix of electricity from wind- and solar-sources in conventional power systems: Evaluating the case for New York State , 2011 .

[21]  Semida Silveira,et al.  OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development , 2011 .

[22]  Ventyx Eastern Wind Integration and Transmission Study: Executive Summary and Project Overview (Revised) , 2011 .

[23]  Debabrata Chattopadhyay,et al.  Analyzing Electric Vehicle Load Impact on Power Systems: Modeling Analysis and a Case Study for Maldives , 2021, IEEE Access.

[24]  K. Cory,et al.  Electrifying Transit: A Guidebook for Implementing Battery Electric Buses , 2021 .

[25]  M. Auffhammer,et al.  Energy consumption and charging load profiles from long-haul truck electrification in the United States , 2021 .

[26]  Zhenpo Wang,et al.  Analyzing Charging Behavior of Electric City Buses in Typical Chinese Cities , 2020, IEEE Access.

[27]  Sonal Patel How Much Will Hydrogen-Based Power Cost? , 2020 .

[28]  Heike Flämig,et al.  Analysis of charging behavior when using battery electric vehicles in commercial transport , 2020, Transportation Research Procedia.

[29]  S. Sahdev,et al.  THE POTENTIAL IMPACT OF ELECTRIC VEHICLES ON GLOBAL ENERGY SYSTEMS , 2018 .

[30]  M. Strubegger,et al.  The marker quantification of the Shared Socioeconomic Pathway 2: A middle-of-the-road scenario for the 21st century , 2017 .

[31]  Aaron Bloom,et al.  Analysis of Modeling Assumptions used in Production Cost Models for Renewable Integration Studies , 2016 .

[32]  Kara Clark,et al.  Western Wind and Solar Integration Study , 2011 .