#Introduction Lecture This is the introductory lecture to the course Author: Lorenzo Sani, Will Usher, Francesco Gardumi Date: 2020-05-19 --- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_1_Intro_Context tags: ['intro'] --- #Sustainable Development Goals (SDGs)
Medium to long term
planning
is capable of producing insights that can inform policies related to SDGs
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--- #Sustainable Development Goals (SDGs)
Illustrative linkages between SDGs
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--- #Sustainable Development Goals (SDGs)
SDG 7
: Ensure access to affordable, reliable, sustainable and modern energy for all
Given the present status and expected future energy demands, it is necessary to
plan ahead how the energy resources could be used to meet the demands, in the near and far future
.
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--- #Energy policy
Energy policy
is the manner in which a given entity has decided to address issues of
energy planning
including
energy supply
,
distribution
and
end-use
.
It includes aspects related to:
Energy security
Environmental protection
Market structures
Incentives or disincentives (e.g., FITs, carbon taxes)
Directives (e.g. measure for efficiency improvements)
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--- #Examples of energy policy questions
What needs to be done and what will be the costs to supply modern energy sources to remote areas?
What if environmental regulations are made more stringent?
What needs to be done to increase the share of renewable technologies?
Should electricity import be allowed?
Should existing nuclear facilities be closed down?
Can an energy conservation program help in reducing cost of energy supply?
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--- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_2_Intro_Energy_system tags: ['intro'] --- #Energy system
Complex system including numerous supply chains linking energy resources to final energy demands.
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--- #Energy system
Complex system including numerous supply chains linking energy resources to final energy demands.
Final demands
Resources
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--- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_3_Intro_Energy_systems_modelling tags: ['intro'] --- #From reality to a model
The complexity of the energy system can be simplified and represented in an organised model structure.
Resources
Primary
Secondary
Final
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--- #Why model?
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--- #Why model?
Explain (very distinct from predict)
Guide data collection
Illuminate core dynamics
Suggest dynamical analogies
Discover new questions
Promote a scientific habit of mind
Bound (bracket) outcomes to plausible ranges
Illuminate core uncertainties.
Offer crisis options in near-real time
Demonstrate tradeoffs / suggest efficiencies
Challenge the robustness of prevailing theory through perturbations
Expose prevailing wisdom as incompatible with available data
Train practitioners
Discipline the policy dialogue
Educate the general public
Reveal the apparently simple (complex) to be complex (simple)
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--- #Why model?
To summarise…
M
odelling
for INSIGHTS, not numbers… (nor answers)
Huntington et al. (1982)
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--- #Modelling insights
Governments/public have
qualitative
ideas on the future development of the country and its energy system, for example:
Policy goals (e.g. economic development, financial constraints, environmental constraints, energy security, rural development…)
Preferred technology options (e.g. using domestic resources, increasing RES shares…)
Future availability and prices of energy forms…
Public perception: may prefer some technologies over others
Energy systems models provide frameworks to
quantitatively
assess implications of different energy policy / development options on the energy supply system
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--- #Modelling insights
They
c
annot predict
the
future
But can help understand future better and stay prepared to take informed decision
They
c
annot make decisions
The main task of an energy analyst is to evaluate different options and provide clear inputs for decision makers
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--- #Modelling is not everything…
Are we really finished when we have got the insights?
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--- #Modelling is not everything…
Are we really finished when we have got the insights?
Refine the inputs and analyses involving
stakeholders
Make analysis
reproducible
and build a solid body of
research infrastructure
Communicate the results to
policy makers
Communicate the results to the
civil society
Keep it always transparent, reproducible and sustainable!
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--- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_4_Intro_Developing_case_study tags: ['intro'] --- #Steps for developing a case study
Define the scope of the Study:
Identify
policy issues
and
questions
to be addressed and design the case study accordingly
Map schematically the system:
Identify natural resources, energy carriers and technologies
that are used
and those
that may be used
in the country (build a ‘Reference Energy System’)
Define scenarios:
Identify sets of assumptions and prepare the corresponding scenarios to be analyzed
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--- #1. Define the scope of the study
The scope of the study depends on the
energy policy question
that you want to address, e.g.:
What policy interventions are necessary to ensure adequate, reliable, and affordable energy supplies?
What needs to be done and what will be the costs to supply modern energy sources to remote areas?
What if environmental regulations are made more stringent?
What needs to be done to increase the share of renewable technologies?
Should electricity import be allowed?
Should the existing nuclear facilities be closed down?
Can energy conservation program help in reducing cost of energy supply?
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--- #2. Map schematically the system
Given the scope of the study, what is it important to analyse?
What technologies could play a role under different demand projections?
Are there sub-national, national or regional dimensions which have to be taken into account?
Are there boundaries and limitations in the energy system?
One or more/all energy forms/fuels?
One part of complete energy chain?
…
Do not over complicate! Bigger model usually means more problems!
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--- #2. Map schematically the system
To model the initial conditions of the system
To identify the existing competitions in the system
You may represent the energy system in an aggregated fashion. E.g.:
Aggregate transmission and distribution networks
Aggregate some facilities with common features: e.g. one technology to represent a set of existing coal-power plants
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--- #2. Map schematically the system
Identify any possible alternatives in the supply system that could be introduced to help meet the policy objectives and targets
Identification of new technologies e.g. combined cycle power plant, e.g., concentrated solar power
Identification of new energy supply sources e.g. coal or gas import options
Identification of "future" technologies
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--- #2. Map schematically the system
Identify physical / technical constraints in exploitation of each energy source and technology
Identify limits for each source in terms of quantity and time of supply
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--- #2. Map schematically the system
Based on the above, design a
Reference
Energy
System (RES)
RES is a
simplified and aggregated graphical representation
of the real energy system under analysis;
RES covers
not just the present
configuration of the energy system, but also possible development paths;
It shows
all existing and potential new energy supply chains
, from primary energy resources to final demand;
The level of simplification depends on issues to be analysed and data availability;
RES should be a
minimum representation of reality
needed to answer the policy questions to be addressed;
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--- #2. Map schematically the system
RES consists of:
Energy Levels
Resources, Primary, Secondary,..., Final,…
(extracted from resources, processed, converted, transmitted, distributed, …)
Energy carriers / commodities
Coal, oil, gas, wood, nuclear fuel, electricity, heat,…
Technologies
Which extract, process, convert energy from one to another form or to energy service, transmit and distribute
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--- #2. Map schematically the system
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--- #2. Map schematically the system
Resources
Primary
Secondary
Final
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--- #3. Define scenarios
Scenario -
not prediction
, but
description
of possible future development:
Consistent set of assumptions (reflecting policies and constraints)
Expert judgment/informed guesses how the future may evolve (prices, technologies…)
Model results
Set of alternative scenarios:
Provide alternative development paths
Assist in understanding possible future developments of complex systems
Helps identify robust investment choices and policies
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--- #3. Define scenarios
Specify:
Available technologies
Development of technological parameters (e.g., investment costs, unit size, construction time, efficiency, O&M costs, emission factors, limitation etc.)
Trends of resource availability & costs; import and export prices for fuel
Policy constraints (fixed investment plan, environmental regulation, other socio-economic policies)
Based on:
Literature
Concrete plans and policies
Expert judgments / informed guesses / experience from historic developments
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--- #3. Define scenarios
Examples of scenarios based on
policy constraints
:
Introducing nuclear beyond 2030
Achieving given share of electricity produced from renewable technologies
Limiting air emissions
Limiting import dependency
…
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--- #General recommendations
Keep focus on objectives (easy to forget)
Consider available human resources and data availability
Define system boundaries and system details accordingly
Keep model as simple as possible
Build gradually
Introduce constraints step by step
Interpret the results
Prepare recommendations
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--- #General recommendations
High disaggregation in certain parts of the system can help in analyzing some policy options
The remaining supply system can be aggregated. E.g.:
High disaggregation at the final and useful levels in order to analyze energy conservation programs
High disaggregation at the secondary level to assess the role of different generation options
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--- #General recommendations
When preparing your study…
Review existing studies
Review socio-economic development plans
Review sectorial policy/plan documents (coal, oil, gas, and renewables …)
Review studies on resource assessments (e.g., technical potential vs. economic potential)
Review environmental regulations
Collect reliable cost estimates
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--- #General recommendations
Prepare summary of the existing energy supply system
Prepare a base scenario
A scenario based on highly likely development path of the energy supply system – often named "Business-as-Usual"
Based on inputs from sub-sectors of energy sector e.g. power sector development plan, gas/oil sector development plan…
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--- --- categories: module exclude: true layout: presentation author: Ioannis Pappis title: 1_5_Energy_models_inputs tags: ['intro'] --- #Input parameters
Data collection
Data pre-processing
Model calibration
Electricity demand projections
Primary resources potentials
Existing capacity
Technology costs and characteristics
Country/region specific constraints
Fuel prices
Discretization of demand curves
Regression analyses where projections are not available
Etc…
I.e. set the starting year of the model as a past year for which actual data is available. From this starting point all that follows depends!
??? --- --- categories: module exclude: true layout: presentation author: Ioannis Pappis title: 1_6_Interpreting_energy_model_results tags: ['intro'] --- #Interpreting modelling results
The results provide insights on questions such as:
Which technologies are phasing out? By when?
What are the optimal investments in new technologies to meet the demand in the future? When is it best to invest?
What are the key generation technologies in the total energy mix?
Which capacities are NOT being utilized? Why?
What costs will the energy system incur?
--- #Interpreting modelling results
What needs to be done and what will be the costs to supply modern energy sources to remote areas?
What if environmental regulations are made more stringent?
What needs to be done to increase the share of renewable technologies?
Should the electricity import be allowed?
Should the existing nuclear facilities be closed down?
Can energy conservation program help in reducing cost of energy supply?
--- #Representative OSeMOSYS results
Year
Electricity Generation (PJ)
Hydro and CCGT most competitive
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Initial capacity of COAL PP phased out at end of life
??? --- #Representative OSeMOSYS results
Year
Electricity Generation (PJ)
More generation from COAL PP, less reliance on HYDRO
What happens in a climate ‘water scarcity’ scenario?
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??? --- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_7_Key_takeaway_messages tags: ['intro'] --- #Key take away messages
The energy system is a complicated network of processes and flows
Models are a useful tool to understand the energy system and formulate sound energy policies
Energy models provide
insights for energy policies, not numbers
Modelling tools can be categorized into top-down and bottom-up. We will look at one type of bottom-up tools:
optimization tools
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??? --- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_8_Reading_material tags: ['intro'] --- #Reading material
Modelling for insights, not numbers - Huntington et al. (1982): https://www.sciencedirect.com/science/article/pii/0305048382900020
Categorisation of modelling tools – Herbst et al. (2012): https://link.springer.com/content/pdf/10.1007%2FBF03399363.pdf
Review of different categorisation methods – Müller et al. (2018): https://www.sciencedirect.com/science/article/pii/S2211467X18300154
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??? --- --- categories: module exclude: true layout: presentation author: Hauke Henke title: 1_9_Acknowledgments tags: ['intro'] --- #Changelog and Attribution
To
correctly
reference
this
work
,
please
use
the
following
:
Taliotis, C., Gardumi, F., Shivakumar, A., Sridharan, V., Ramos, E., Beltramo, A., Rogner, H., Howells, M., 2018.
Introduction
to Energy Systems
Modelling
, KTH-Desa and OpTIMUS.community.
Available at: (URL). [Access date]
DOI: 10.5281/zenodo.1493113
|Date |Author |Reviewer |Reviser | |:---|---:| ---:| ---:| ---:| |2018-06-12 |Taliotis, C., Gardumi, F., Shivakumar, A., Sridharan, V., Ramos, E., Beltramo, A., Rogner, H., Howells, M. |Howells, M., Beltramo, A. |Gardumi, F., Taliotis, C. | | | | | |
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--- #End