Modeling and Strategic Planning of Sustainable Development of Ukraine in the Conditions of Climate Change
Oleksandr DIACHUK,�Ph.D in Engeneering, Leading Research Officer
Institute for Economics and Forecasting �of the National Academy of Sciences of Ukraine
28 October 2024
Content
Methodological aspects
Types of Scenarios
Exploratory scenario
For example: What will happen if we limit electricity imports? How this will affect the price? How this will impact the technology mix in power generation or energy consumption?
Baseline (Reference) scenario
Types of Scenarios (2): Policy scenarios
Approach 1: Target or Normative
Optimal pathway to achieve pre-defined or directively established targets, e.g. on energy efficiency, RE development or reduction of GHG emissions
Defining a target in advance requires an analysis of what such a target might look like given the current understanding of future technologies or budget constraints
Approach 2: Measures
Evaluation of the effects of certain policies and measures, such as the introduction of a feed-in tariff or carbon tax
Conceals the risks of losing the ambitiousness of the program document, as it is based on a subjective understanding of the effectiveness and feasibility of the proposed measures
Policy scenario: Target –based approach
Reaching the TARGET
Model calculation of the optimal pathway to achieve the target (energy balance, technology solutions)
Identifying a set of policies and measures, sufficient to follow the optimal pathway
An action plan with detailed quantified intermediate and final goals, measures and timeframes for their implementation, tasks of responsible executives, resource allocation, and KPIs.
Regulation:
Energy efficiency standards; environmental standards and regulations; building codes
Information campaign:
Education, awareness and prevention;
Environmental monitoring and energy audit
Long-term actions:
Research and development, state and corporate innovation and technology policy
Market reforms:
Deregulation and liberalization; elimination of subsidies; new market models and types of regulation
Policy scenario: measures-based approach
Assessment of MEASURES
Model assessment of the impact of measures on the development of the energy system and the environmental effect
Comparison of results with the desired future state of the energy sector
Regulation:
Energy efficiency standards; environmental standards and regulations; building codes
Set parameters of new techs
Information campaign:
Education, awareness and prevention;
Environmental monitoring and energy audit
Incorporated to the model by assumptions
Long-term actions:
Research and development, state and corporate innovation and technology policy
Availability of new techs
Market reforms:
Deregulation and liberalization; elimination of subsidies; new market models and types of regulation
Incorporated by assumptions
An action plan with detailed quantified intermediate and final goals, measures and timeframes for their implementation, tasks of responsible executives, resource allocation, and KPIs.
Structure of TIMES-Ukraine Model
The TIMES-Ukraine (energy system wide) model describes all energy (gas, oil, coal, electricity, heat, etc.) flows in the country or all economic sectors related to extraction, production, transformation, final consumption of energy resources, etc.
The power system model (for example, PLEXOS, used by Ukrenergo) describes in detail only the power sector (electricity production) with a predetermined demand for electricity in the country.
Models by their nature are not competitors, but can only complement each other.
Structure of TIMES-Ukraine Model
2004 IEF NASU launched studies on energy modelling
2006 Beginning of the TIMES-Ukraine model development under the NASU project
2009 Cooperation with the leading international institutions and first practical use TIMES-Ukraine model in international projects (USAID/Hellenic Aid project “Energy security and the development of markets in Europe and Eurasia: analysis of the national priorities”, supported by IRG (Gary Goldstein) and CRES (George Giannakidis).
2010 First practical use TIMES-Ukraine model for preparing the national strategic document (General Plan of Coal Sector Development in Ukraine through 2020, TACIS project, Human Dynamics).
2011 Developed Information-analytical system (based on TIMES-Ukraine model) for strategic panning and forecasting energy balance.
2012 TIMES-Ukraine model is part of interregional integrated energy model for the Energy Community countries (EC-TIMES).
2012 Joined to the project with International Institute for Applied Systems Analysis (IIASA, Austria).
2013 Development of dynamic computable general equilibrium model (UGEM) and its further use in combination with TIMES-Ukraine model.
2014 Applied grid technologies for parallel computations in TIMES-Ukraine model (in Cooperation with the Cybernetics Institute of NASU)
2015 Beginning of the collaboration with the Danish Energy Agency and Danish Technical University.
2015 TIMES-Ukraine used for the preparation of the first NEEAP and INDC.
2017 TIMES-Ukraine used for the preparation of the LEDS.
2018-2020 TIMES-Ukraine used for the preparation of the second NEEAP and updated NDC.
2022 TIMES-Ukraine used for the preparation of the 2050 Buildings Retrofit Strategy of Ukraine
2023 IEF NASU launched energy modelling activities in the framework of the Net Zero World initiative
2023 TIMES-Ukraine used for the preparation of the National Energy and Climate Plan.
2024 TIMES-Ukraine used for the preparation of the LT-LEDS Strategy.
GLOBAL ENERGY AND CLIMATE SCENARIOS��The Intergovernmental Panel�on Climate Change (IPCC)
The Intergovernmental Panel on Climate Change
The IPCC prepares comprehensive Assessment Reports about the state of scientific, technical and socio-economic knowledge on climate change, its impacts and future risks, and options for reducing the rate at which climate change is taking place.
It also produces Special Reports on topics agreed to by its member governments, as well as Methodology Reports that provide guidelines for the preparation of greenhouse gas inventories. The latest report is the Sixth Assessment Report which consists of three Working Group contributions and a Synthesis Report.
Panel (a) The integrated framework encompasses socio-economic development and policy, emissions pathways and global surface temperature responses to the five scenarios and eight global mean temperature change categorisations.
The dashed arrow indicates that the influence from impacts/risks to socio-economic changes is not yet considered in the scenarios assessed in the AR6. Emissions include GHGs, aerosols, and ozone precursors. CO2 emissions are shown as an example on the left. The assessed global surface temperature changes across the 21st century relative to 1850–1900 for the five GHG emissions scenarios are shown as an example in the centre. Very likely ranges are shown for SSP1-2.6 and SSP3-7.0. Projected temperature outcomes at 2100 relative to 1850–1900 are shown for C1 to C8 categories with median (line) and the combined very likely range across scenarios (bar). On the right, future risks due to increasing warming are represented by an example ‘burning ember’ figure.
Panel (b) Description and relationship of scenarios considered across AR6 Working Group reports.
Panel (c) Illustration of risk arising from the interaction of hazard (driven by changes in climatic impact-drivers) with vulnerability, exposure and response to climate change.
Panel a shows global GHG emissions over 2015–2050 for four types of assessed modelled global pathways:
Figure show a projected changes of annual maximum daily maximum temperature, annual mean total column soil moisture and annual maximum 1-day precipitation at global warming levels of 1.5°C, 2°C, 3°C, and 4°C relative to 1850–1900.
GHG, CO2 and CH4 emissions over time (in GtCO2eq) with historical emissions, projected emissions in line with policies implemented until the end of 2020 (grey), and pathways consistent with temperature goals in colour (blue, purple, and brown, respectively);
Panel (a) (left) shows pathways that limit warming to 1.5°C (>50%) with no or limited overshoot (C1) and Panel (b) (right) shows pathways that limit warming to 2°C (>66%) (C3). Bottom row: Panel (c) shows median (vertical line), likely (bar) and very likely (thin lines) timing of reaching net-zero GHG and CO2 emissions for global modelled pathways that limit warming to 1.5°C (>50%) with no or limited overshoot (C1) (left) or 2°C (>67%) (C3) (right).
Panel (a) presents selected mitigation and adaptation options across different systems.
Panel (b) displays the indicative potential of demand-side mitigation options for 2050.
The top panel (a) shows global costs per unit of energy (USD per MWh) for some rapidly changing mitigation technologies. Solid blue lines indicate average unit cost in each year.
The bottom panel (b) shows cumulative global adoption for each technology, in GW of installed capacity for renewable energy and in millions of vehicles for battery-electric vehicles. A vertical dashed line is placed in 2010 to indicate the change over the past decade.
Renewable energy and battery technologies were selected as illustrative examples because they have recently shown rapid changes in costs and adoption, and because consistent data are available.
International Energy Agency
“The scenarios highlight the importance of government policies in determining the future of the global energy system: decisions made by governments are the main differentiating factor explaining the variations in outcomes across our scenarios. However, we also account for other elements and influences, notably the economic and demographic context, technology costs and learning, energy prices and affordability, corporate sustainability commitments, and social and behavioural factors. While the evolving costs of known technologies are modelled in detail, we do not try to anticipate technology breakthroughs (such as nuclear fusion)”.
International Energy Agency
“The interactive graphs below include global historical and projected data for the Net‐Zero Emissions by 2050 scenario as presented in the Annex A Tables of Net Zero by 2050: A Roadmap for the Global Energy Sector. The definitions for fuels and sectors can be found in Annex C of the report” - IEA.
IEA: Net Zero by 2050 Data Explorer, Total energy supply, 2019-2050
IEA: Net Zero by 2050 Data Explorer, Electricity generation by technology, 2019-2050
IEA: Net Zero by 2050 Data Explorer, CO2 emissions by sector, 2019-2050
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
“This special report is the world’s first comprehensive study of how to transition to a net zero energy system by 2050 while ensuring stable and affordable energy supplies, providing universal energy access, and enabling robust economic growth” - IEA.
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
IEA: Net Zero by 2050, Roadmap for the Global Energy Sector
UKRAINE’S ENERGY AND CLIMATE SCENARIOS
NECP, Energy Strategy, NDC’s, LEDS, NEEAP’s,�TSO “Ukrenergo” and other
Ukraine’s National Energy and Climate Plan
Source: https://me.gov.ua/Documents/Detail?lang=en-GB&id=d3c7185c-8669-4ce9-8da0-29a47b4b95a2&title=NationalEnergyAndClimatePlanOfUkraine2025-2030
The Government of Ukraine approved NECP on June 25, 2024
Ukraine’s NECP
National Energy and Climate Plan of Ukraine
2025-2030
Structure of NECP
Ukraine’s NECP Scenarios
1) with existing policies and measures (WEM) = implemented + adopted
2) with planned (additional) policies and measures (WAM)
Decarbonisation: key objectives in the RES sector
NECP Modeling Results: Total Primary Energy Supply
NECP Modeling Results: Final Energy Consumption
Country | FEC, 2030 |
Albania | 2,40 |
Bosnia and Herzegovina | 4,34 |
Georgia | 5,00 |
Kosovo* | 1,80 |
Moldova | 2,80 |
Montenegro | 0,73 |
North Macedonia | 2,00 |
Serbia | 9,54 |
Ukraine | 50,45 |
Energy Community | 79,06 |
DECISION OF THE MINISTERIAL COUNCIL OF THE ENERGY COMMUNITY
NECP Modeling Results: Share of RES in GFEC
Country | % RES, 2030 |
Albania | 52,0% |
Bosnia and Herzegovina | 43,6% |
Georgia | 27,4% |
Kosovo* | 32,0% |
Moldova | 27,0% |
Montenegro | 50,0% |
North Macedonia | 38,0% |
Serbia | 40,7% |
Ukraine | 27,0% |
Energy Community | 31,0% |
DECISION OF THE MINISTERIAL COUNCIL OF THE ENERGY COMMUNITY
NECP Modeling Results: Electricity Generation
NECP Modeling Results: GHG Emissions
Country | % from 1990 and MtCO2eq, 2030 |
Albania | +53,2%, 12,00 Mt |
Bosnia and Herzegovina | -41,2%, 15,65 Mt |
Georgia | -47,0%, 20,50 Mt |
Kosovo* | -16,3%, 8,95 Mt |
Moldova | -68,6%, 9,10 Mt |
Montenegro | -55,0%, 2,42 Mt |
North Macedonia | -82,0%, 2,20 Mt |
Serbia | -40,3%, 47,82 Mt |
Ukraine | -65,0%, 309,00 Mt |
Energy Community | -60,9%, 427,64 Mt |
DECISION OF THE MINISTERIAL COUNCIL OF THE ENERGY COMMUNITY
2050 Energy Strategy of Ukraine
Source: Unavailable
The 2050 Energy Strategy
Nationally Determined Contributions of Ukraine to the Paris Agreement
Intended Nationally Determined Contribution (INDC)�of Ukraine to a New Global Climate Agreement
Updated Nationally Determined Contribution�of Ukraine to the Paris Agreement
Updated NDC: Analytical Review
Updated NDC: Scientific Based Report
Updated NDC: Modeling Framework
EBRD/IEF: Modeling Scenarios for Upd NDC
The following four NDC/GHG emission pathway scenarios were modelled:
EBRD/IEF: GHG pathways by updated NDC scenario
EBRD/IEF: GHG in UA, EU and selected countries
2050 Low Emission�Development Strategy of Ukraine
The 2050 Low Emission Development Strategy
The LEDS: Energy Modeling Scenarios
The LEDS: Modeling and Scenario Framework
2030 National Energy Efficiency Action Plan
The 2030 NEEAP of Ukraine
The 2030 NEEAP Scenarios
Year | 2017 | 2021 | 2025 | 2030 | ||||
Category | Primary Energy (ktoe) | Final energy (ktoe) | Primary Energy (ktoe) | Final energy (ktoe) | Primary Energy (ktoe) | Final energy (ktoe) | Primary Energy (ktoe) | Final energy (ktoe) |
Business As Usual scenario | 87,110 | 47,571 | 102,658 | 53,411 | 110,456 | 57,099 | 117,775 | 60,887 |
Savings from measures | - | - | -13,675 | -4,157 | -19,638 | -6,582 | -26,307 | -10,440 |
With measures | 87,110 | 47,571 | 88,983 | 49,254 | 90,818 | 50,517 | 91,468 | 50,447 |
% energy reduction from the BAU | 0% | 0% | 13.3% | 7.8% | 17.8% | 11.5% | 22.3% | 17.1% |
TSO “Ukrenergo” Adequacy Reports�(2020)
Preparation, approval and publication of Adequacy Reports
Methodology and Scenarios of Adequacy Reports
Methodology and Scenarios of Adequacy Reports
PROJECT’S ENERGY AND CLIMATE SCENARIOS
Net Zero World Initiative, UNECE, IEF/PNNL, IEF/DEA, IEF/Henrich Boell Foundation and other
NZWI: Energy and Climate Scenarios
NZWI: Scenario Matrix
Modeling Scenarios | Macroeconomic scenarios | ||
Base Recovery | Intensive Recovery | ||
Energy and Climate Scenarios | Reference | B-REF | I-REF |
Energy Strategy | B-ESU | I-ESU | |
Net Zero | B-NZE | I-NZE | |
NZWI: Total primary energy supply (TPES)
NZWI: Total primary energy supply (TPES)
NZWI: Total primary energy supply (TPES)
The net-zero transition significantly improves energy security and resiliency of the national economy, which will contribute to its adaptability to future climate changes and conditions.
UNECE project: Carbon Neutrality in Ukraine
PNNL/IEF: Decarbonization scenarios of the heat sector
Transition to 100% Renewables in Ukraine
Practical TIMES-Ukraine scenarios and results
Municipal TIMES-Zhytomyr model
Questions
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