ETM Pro - Stable Release 2025.01

Released on the 4th of April, 2025.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by louispt1 26 days ago

ETM Pro - 2025.04

Stable version release 2025-01

The first stable version of the ETM is released, marking a major milestone for the model. Traditionally, the ETM has been under continuous development to capture the latest energy system modelling features, bug fixes and updates to datasets. The downside of this was that scenario settings, outcomes and dataset values could change over time. With the the stable version release, users now have the choice to work on the traditional and default version, #latest, or on the new and stable version, #2025-01.

The default and stable version of the model are at this moment exactly the same, but as #latest will continue to be under development, it will over time diverge from #2025-01. The release of the stable version does not affect any of the scenarios created before the release. For more information about stable versions and how to move scenarios to the stable version, see the documentation.

Other new features

• It is now possible to download an overview of all slider settings of a scenario in the Data export section.
• Improvements of the start year data related to final demand in agriculture for the municipality of Noordoostpolder. Consult the Dataset Manager to view this dataset.
• Update of the chart "Final energy demand in other sector" where the carriers are now split into energetic and non-energetic (feedstock) demand.

• There was an issue in modelling losses related to the treatment of natural gas extraction. This led to a mismatch between calculations for the annual and hourly natural gas balance and to an overestimation of natural gas imports in certain scenarios. This issue is now fixed.
• The charts in Collections that show the final demand ‘by carrier’ and ‘by sector by carrier’ were not aligned. This caused a discrepancy between these charts in the total final demand of Liquid biofuels and Oil and oil products. These charts have now been aligned to resolve this discrepancy.
• Greenhouse gas emissions from the Other sector were missing from the Greenhouse gas footprint visual. These are now included in the visual under Industry, Energy & Other.
• Under certain conditions, the forecasting algorithm for electricity storage caused invalid hourly electricity prices to emerge during curtailment. This issue is now fixed and the electricity price becomes 0 €/MWh in hours with curtailment.
• The electricity used in demand side response (DSR) in the central ICT sector was not taken into account in all calculations for final demand. This issue is now fixed.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by louispt1 26 days ago

ETM Pro - 2025.03

API Changes

• Version tags are now used for "Saved scenarios" and "Collections" in API responses
  (In preparation for releasing a stable version of the ETM).
  Read more about changes to the API in the API changelog.

UX and Account Management Improvements

• New setup of the "My Scenarios" and "My Account" pages.
• A central environment is introduced to manage:
  • Saved scenarios
  • Collections
  • Account settings
• Use this to:
  • Manage and share saved scenarios.
  • Generate Personal Access Tokens.
  • Subscribe to the newsletter.
  • Update personal information.

Collections (Previously "Transition Path Charts" / "Multi Year Charts")

• Renamed to "Collections".
• URL prefix changed from myc → collections.
• Definition updates:
  • A "Collection" is a set of saved scenarios that can be created in "My Scenarios".
  • A "Transition Path" is a specific type of "Collection", where a single saved scenario is interpolated to intermediate years.

New Charts

• Added to chart selection:
  • ‘Electricity supply and demand’
  • ‘Network gas supply and demand’

CO₂ Emissions Improvements

• Enhancements to non-energetic CO₂ emissions for better comparison between 1990, the start year, and future years.
• Updates to the ‘CO₂ emissions’ chart:
  • Splitting of non-energetic and delayed emissions into separate categories.
  • Updated chart descriptions regarding non-energetic emissions.
  • Updated documentation:
    • 1990 emissions
    • Modelled emissions in the ETM

Data & Scenario Updates

• Climate and Energy Outlook (KEV) 2024 added as a featured scenario for:
  • 2030 → View scenario
  • 2035 → View scenario
• Municipality of Emmen:
  • Improved start year data for chemical and other industry sectors.
• Antwerp dataset update:
  • Updated to start year 2022.

Technical Improvements

• Further enhancements to our automatic testing suite to improve model calculations.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by louispt1 about 2 months ago

ETM Pro -

Additions and improvements for European countries

The countries Norway, Serbia and Switzerland, as well as Great Britain are now available in the ETM. Check out the new countries by selecting them in the region dropdown when starting a new scenario.

For a complete overview of all data that has been used to create the country datasets, have a look at the ETM Dataset Manager. The final energy demand of the countries is matched as much as possible to the country energy balances. As always, there is some room for future improvements, particularly regarding heat and electricity production data. However, we are very excited about this first step of making the new datasets available. Feel free to contact us with suggestions using the contact form.

In addition, improvements have been made of carrier application splits in households for all European country datasets in the ETM, based on the Eurostat final energy consumption in households database. The assumed values in application splits can be found in the ETM Dataset Manager as well. Later in November, this update will be followed by an update of the residential and non-residential building stock, based on numbers from the EU Building Stock Observatory.

Addition of hydrogen and electricity for international transport
Hydrogen and electricity can now both be used to model the demand of international transport. In the International transport section you can model the demand for international transport in your scenario. The modes of transport you can choose from are navigation (by ship) & aviation (by plane). Now you can use hydrogen and electricity as a way to serve the demand for both these modes of transport.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by louispt1 6 months ago

ETM Pro - 2024 09

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by louispt1 8 months ago

ETM Pro - 2024.07

Hybrid offshore wind

It is now possible to explore the role of hybrid offshore wind in future energy systems. The hybrid offshore wind turbines can deliver generated power to the onshore HV network or to an offshore electrolyser. The offshore electrolyser can also receive power from the HV network for hydrogen production.

Explore the new possibilities by setting the installed capacity of the hybrid offshore wind turbines in the Renewable electricity section. Additionally, the relative capacities of the electrolyser and offshore cabling can be set in the Flexibility section.

New charts and a table have also been added to provide insights into the installed capacities, peak load, and annual energy flows of the hybrid offshore wind components. The Sankey diagram below, for example, shows how much energy flows between the components on an annual basis. Explore the new user output yourself in the ETM's list of charts.

Scenario collections

Create collections of saved scenarios and compare their outcomes. The new tab in My Scenarios contains
both your collections, and your transition paths.

Use the new button in the collections tab in My Scenarios to start creating a new collection. Up to
six scenarios you have rights to can be added to your collection.

You can share the link to your collection with anyone, but only people that you have given access
to the scenarios will be able to see them in the viewer.

Opening the collection will open a new viewer, where you can compare your scenarios using the same charts as known from the existing transition paths feature.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato 10 months ago

ETM Pro - 2024.05

Addition of BECCUS

The ETM now incorporates Bioenergy with Carbon Capture and Utilisation Storage (BECCUS) plants. There are three key updates to explore.

First, biomass power plants have been added to the model. Users can now install capacity for either must-run or dispatchable biomass power plants and CHPs in the Biomass plants section.

Second, it is possible to capture CO2-emissions from these power plants, by determining which part of the installed capacity is fitted with a CCS unit. This can be set in the Capture of CO2 in energy sector section.

Third, a price for captured biogenic CO2 has been introduced in the model. This price can be set in the the CCUS section. The revenue that can be obtained from captured biogenic CO2 is taken into account when determining the marginal costs of power plants or CHPs that run on biogenc fuels and have a CCS unit. It allows these plants to run for lower marginal costs. The costs of all captured biogenic CO2 is shown in the costs charts.

Hydrogen improvements

The hydrogen section of the model has been improved! Now, flexible production options have been added.
Steam methane reformers, ammonia reformers and autothermal reformers can be installed with dispatchable capacity in addition to the must-run variant of these hydrogen reformer techniques. Explore these changes in the Hydrogen production section.

Next to these flexible producers, the modelling of hydrogen storage has been refined. Now, users can use salt caverns and depleted gas fields as storage options in the model. In addition, users can set both the volume and capacity for these storage options. These features can be found in the Hydrogen storage section.

Together the dispatchable and storage production facilities make up for the flexible hydrogen production routes within the ETM. Which production route should be used first, can be installed by the user via the new hydrogen production merit order. The merit order of production can be set in the Merit order of dispatchable hydrogen production section.

The flexible demand options, which are the two hydrogen storage options for now, can be installed via the new hydrogen demand merit order. The merit order of demand can be set in the Merit order of dispatchable hydrogen demand section.

Multi-user support and scenario version history

It is now possible to collaborate with multiple users on a scenario. Through the My Scenarios overview, you can invite other users of the ETM to one of your scenarios as a Viewer, Collaborator, or Owner. You can also invite persons who don't use the ETM as of yet. Depending on the rights granted, the invitee can view your scenario, make edits and even invite other users to your scenario.

Also, there is now an overview available of the version history of scenarios. This shows old versions of a scenario along with the user who last modified it. You can open the old scenario versions in the ETM, add a description to old versions and restore old scenario versions.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato 10 months ago

ETM Pro - 2024.03

Heat modelling in the built environment has been thoroughly revised

The building stock is now disaggregated at a higher level of detail. Households are differentiated by combinations of housing type and construction period, including new construction. For buildings (services) existing and new buildings are distinguished. Additionally, users can set a prioritization to distribute heating technologies across the housing stock. Also, users now have insight into heat deficits per housing category, they can adjust the installed capacities of heating technologies, and have the ability to set two different representations of the thermostat profile per combination of technology and building category. Development of heat demand can also be set per building category in kWh/m2.

Explore the new heat modelling in the Households and Buildings sections.

Costs export functionality updated & expanded

The costs export functionality of the ETM has undergone a major update! The download now provides much more detailed information on a scenario's costs. Starting with total costs, total CAPEX and total OPEX, the csv file provides further details on the constituents of CAPEX and OPEX and the parameters underlying CAPEX calculations, such as the technical lifetime. In all, the costs export functionality now more truthfully mirrors the ETM's costs calculating capabilities; see the image below.

Solar PV households and buildings capacity sliders moved to Supply

The sliders for solar PV capacities on rooftops of households and buildings now allow users to directly indicate installed capacities for these technologies (in MW). The sliders have been moved to the Renewable electricity section.

Land use of solar and wind visualization available

The ETM now contains a chart displaying the land use of solar panels and wind turbines on land. The chart also allows the user to virtually distinguish large scale and small scale wind turbines without affecting the actual scenario. The accompanying table provides more detailed information on e.g. capacities and electricity production of all included technologies.

Propane added as constituent of network gas

Users of the ETM can now add propane as a constituent carrier in network gas. Addition of propane can be required to increase the energy content of network gas when mixing in other gases with a lower calorific value, such as biogas.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato about 1 year ago

ETM Pro - 2024.01

Local forecasting for household batteries

You can now choose two types of forecasting for household batteries. The first is the existing system forecasting algorithm, which is available for all electricity storage technologies. The second is a new local forecasting algorithm. Instead of all the electricity demand and supply in a region, it only tries to match household electricity demand and supply. Both types of forecasting have a different impact on the electricity grid. Try it for yourself in the Flexibility section.

Input capacity for load shifting

Demand-side response in the industry has been updated. When applying load shifting in an industry sector, it is now possible to set the available capacity to increase the load seperately from the capacity to decrease the load. This makes it possible to reduce the impact of the increased load on the electricity grid. It can be found in the Flexibility section.

Transit flows

Many regions deal with energy flows that merely pass through the region and are not consumed or produced by parts of the local energy system. Users can now gain more insight in these transit flows of energy carriers within their system. In order to model transit flows in your scenario, you can set the inflexible export volumes of several energy carriers. Setting an export flow also enforces an import flow for the system to be balanced.

New charts have been added which give an overview of the transit flows in the energy system. The new features can be found in the Demand section.

It is also possible to model a transit flow for CO2 by setting an import flow in Mton. See the Emissions section.

New hydrogen carriers

In addition 2 new hydrogen carriers have been added to the ETM:

• Liquid organic hydrogen carriers (LOHC) — LOHCs are substances that can store and transport hydrogen in a liquid form.
  This form provides a higher energy density compared to gaseous hydrogen.

• Liquid hydrogen (LH2) — At extremely low temperatures, hydrogen transitions from gaseous into liquid form. In liquid form it has a much higher volumetric energy density, leading to an advantage in transporting the hydrogen.

This allows for instance to import liquid hydrogen, reform it to produce gaseous hydrogen and export the latter. See the new hydrogen production technologies in the Supply section.

Heat

There are a number of significant changes for the modelling of heat in the ETM. The following three main changes have been made.

Temperature levels of district heating

District heating networks on different temperature levels can be specified: high temperature (HT), medium temperature (MT) and low temperature (LT). Each temperature level has distinct heat sources. You can set the demand, supply, storage and transport and losses for each temperature level. The costs of district heating infrastructure have been updated, using values specific for each temperature level. Finally, a number of charts have been added to help you set demand and supply. Explore the new District heating section to find out more.

Aquathermal

Now, extra aquathermal technologies have been added to the ETM. Aquathermal refers to using water for heating and cooling. Three types of water reservoirs are taken into account: drink water, surface water and waste water.

Aquathermal technologies can be selected for invidiual residences, both for Space heating & hot water and for Cooling. This also applies to Space heating and Cooling in buildings. Additionally, aquathermal heat can be used in MT and LT district heating. A chart has been added that allows you to see the demand for aquathermal heat and compare it to the potential.

Residual heat

It is now possible to specify exactly the amount of residual heat you want to use in your scenario. You can then compare the demand for residual heat with an estimate of the potential in a new chart. The estimate of the potential depends on the respective size of the industry sectors.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato about 1 year ago

ETM Pro - 2023.06

Adjustable specifications of electricity storage technologies

Two specifications of electricity storage technologies can now be customized in the model. The first is the roundtrip efficiency. You can adjust this in Costs & efficiencies → Flexibility → Electricity storage.

You can also change the relative storage volume of each technology in Flexibility → Electricity storage. The relative storage volume specifies how many hours a technology needs to charge at full capacity to go from 0% to 100% charged. Effectively it allows you to change the total installed storage volume for a given installed capacity.

In the table "Electricity storage technologies specifications" you can quickly compare the specifications across technologies

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato almost 2 years ago

ETM Pro - 2023.03

Local vs. Global tool is discontinued

The Local vs. Global tool is discontinued indefinitely. The tool allowed you to select multiple scenarios and see their combined results on a number of indicators. Though the functionality the tool offered is valuable, the limited scope of its implementation made it no longer worth the effort required to maintain it.

Our ambition is to further build on the Transition Paths tool instead. This tool has recently seen much development and offers a lot of flexibility for users who want to visualise and change multiple scenarios within a single interface. The functionality that the Local vs. Global tool offered may be incorporated in the Transition Paths tool in the future.

If you have any questions about the Local vs. Global tool, or would like to discuss suggestions for the improvement of the Transition Paths tool, please contact Quintel.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato about 2 years ago

ETM Pro - 2023.02

New feature for electricity storage technologies

In the Flexibility → Electricity storage section, you can decide for each storage technology whether you want to enable a forecasting algorithm to determine its behaviour.

The technologies for which this forecasting algorithm algorithm is enabled, will consecutively try to flatten the electricity residual load curve. You can now set the order in which these technologies are applied yourself. Go to the Flexibility → Electricity storage → Merit order section to see how.

For more information, go to our documentation.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by noracato about 2 years ago

ETM Pro - 2023.01.1

CHPs for local agriculture heat demand

It is now possible to install combined heat and power (CHP) units, that supply heat to meet local demand from agriculture. You can set the share of heat demand that is supplied by these local CHPs in the Demand → Agriculture → Heat section. The capacities of different types of CHPs can then be set in the Demand → Agriculture → Heat from local CHPs section.

Two charts have been added, one that shows you the total local heat supply and demand per year. The other chart (see below) also shows you the electricity flows that are produced by the CHPs.

Electricity storage in electric buses, vans and trucks

As the number of electric vehicles increases, it is becoming increasingly interesting to utilize the batteries that are present in those vehicles during hours when they are not used for transportation. It was already possible to use batteries in electric cars to provide storage services to the electricity grid, and now this is also possible for electric buses, vans and trucks.

Go to the Flexibility → Electricity storage → Batteries in electric vehicles section, to see how you can put these batteries to use. The total available battery storage volume does depend on the number of electric vehicles in your scenario, which you can determine in the Demand → Transport section.

Chart sets

In the 'See more charts' pop-up, you can now choose to load multiple charts at once. With a single click on "System overview" you will open a predetermined selection of charts and tables that provide you with a full overview of your energy system.

If you would like to add another set of charts, please contact Quintel.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 2 years ago

ETM Pro - 2023.01

Single sign-on

The Energy Transition Model has a new system for signing in. Aside from a new look to the login and account pages, the ETM should work much as it always has.

The new system allows us to associate your scenarios with your account, ensuring that only you can make changes to them. As before, they will default to being public, allowing other visitors to view and copy your scenarios, but not edit them. If you prefer to keep your scenarios private, you can change the privacy setting in your account settings. Private scenarios can only be viewed by their owner: you.

Alternatively, it is possible to change the privacy setting of individual saved scenarios. To do this, head to your saved scenarios page, click on the scenario you'd like to change, and then on the "Public/Private" dropdown on the right side of the page.

API

Users of our API can also benefit from the added security provided by authentication by using personal access tokens. You can now list all of your scenarios, delete scenarios, as well as work with saved scenarios and transition paths.

A detailed list of changes is available on our documentation website.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 2 years ago

ETM Pro - 2022.11

First Asian country is now available: Singapore

Singapore has been added to the ETM as the first city-state and the first Asian country. This also means it is now easier to add countries outside of the EU to the ETM. Select Singapore as a region when starting a new scenario to start exploring its energy system!

Addition of ammonia

Shipping of liquified green ammonia (and then reforming it to hydrogen) is seen as a more practical option for importing large amounts of green hydrogen than transporting the hydrogen directly. The possibility to import ammonia and convert it to hydrogen using a reformer has therefore been added to the model.

In addition to that, it is possible to use ammonia directly in the fertilizer industry, or as a transport fuel in domestic or international navigation.

Addition of Autothermal reforming

A new hydrogen production technology has been added to the model: Autothermal reforming (ATR). This is a proven technology that uses natural gas to produce hydrogen. You can set its installed capacity in Supply → Hydrogen → Hydrogen production.

The main benefit of ATR compared to the common hydrogen production technology Steam methane reforming (SMR), is that it allows for the capture of a higher share of CO2 emissions. You can add carbon capture for the ATR in Emissions → CCUS → Capture of CO2.

New CO2 intensity of hydrogen chart

A new chart that allows you to compare the CO2 intensity of different hydrogen production routes have been added to the model. You can select the chart from the chart selection or go to Supply → Hydrogen → CO2 emissions of imported hydrogen.

New electricity mix for power-to-gas chart

Another useful chart has been added. This chart shows you the electricity mix used to produce hydrogen through electrolysis, also known as power-to-gas. You can select the chart from the chart selection or go to Flexibility → Electricity conversion → Conversion to hydrogen.

Analysis of the need for flexibility

For the gaseous carriers hydrogen and network gas, hourly balancing of supply and demand is performed by storage. There are however technical and economical limitations to the extent to which storage volume can be realized in an area. This is especially relevant when different types of large-scale underground storage are required. Some storage may be required to handle short-term variations in supply and demand, while additional storage volume may be necessary to deal with long-term seasonal variations.

A new section and table have been added that can help you assess the different storage needs. You can find them in Flexibility → Overview → The need for flexibility: timescales.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 2 years ago

ETM Pro - 2022.10

New transport technologies for ships and planes

For domestic navigation, also known as inland shipping, it is now possible to switch to electric ships. You can determine the share of electric ships in the total transportation by domestic navigation in Demand → Transport → Freight transport → Domestic navigation technology.

For domestic aviation technology, or more simply put, plane transport, two new technologies have been added to the model. In addition to kerosene, gasoline and bio-ethanol, you can switch to either electricity or hydrogen. Go to Demand → Transport → Passenger transport → Domestic aviation technology to check it out.

New heating technologies in agriculture

In the agriculture sector, you can now choose to install a water heat pump. This is an electric water-water heat pump that uses a water reservoir as its heat source. Only a small amount of electricity is then still required to bring the water to the desired temperature, making it much more efficient than a simple electric boiler. You can find the heat pump in Demand → Agriculture → Heat.

In the same section, you can now also install power-to-heat capacity for agriculture. This is an electric boiler that is fitted to existing natural gas or hydrogen heaters, making them hybrid heaters. The hybrid heater uses electricity when the electricity price is below the maximum willingness to pay. If the electricity price exceeds the willingness to pay, the heater switches to its original fuel source (either gas or hydrogen). You can set this willingness to pay in Flexibility → Electricity conversion → Conversion to heat for agriculture.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 2 years ago

ETM Pro -

Update of the transition path charts tool

The transition path charts tool has had a significant update. With this tool, you can open one of your scenarios and explore what happens between the start and end year. You can easily make changes to the slider settings for various intermediate years and thereby shape the transition path towards the future.

The update includes an improved interface, various new charts that now allow you to toggle between area and bar charts, a table view underneath the charts and the possibility to easily export data as CSV files. Check out the updated tool here!

Addition of small modular nuclear reactors

A new type of nuclear power plants has been added to the model: small modular reactors. This novel technology is now available next to the existing large reactor 2nd and 3rd generation nuclear power plants. Go to Supply → Electricity → Nuclear plants to add them to your scenario.

Load shifting in the central ICT sector

Load shifting is a form of demand side response where electricity consumers can choose to delay their electricity demand. In hours where the electricity price is deemed too high, these consumers will reduce their demand. When the price drops again, they will then compensate for the accumulated deficit by increasing their demand.

This form of demand-side response was already available for the metal, chemical, and other industry. It is now also available for the central ICT sector, which covers data centers, telecom, and other information and communication services. You can add load shifting for the central ICT under Flexibility → Net load → Demand response - load shifting in industry.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 2 years ago

ETM Pro - 2022.07

Hydrogen-powered ships

Hydrogen-powered ships are now available as a technology in the transport sector. Hydrogen can be used as fuel for inland shipping, also known as domestic navigation. Go to the Demand → Transport → Freight transport section to check it out. It can also be used as a fuel for maritime shipping, or international navigation, which you can set at the Demand → Transport → International transport section.

Hybrid hydrogen heat pump for buildings

In addition to a hybrid heat pump that uses gas, it is now also possible to heat the buildings in your scenario with a hybrid heatpump that uses hydrogen. You can find this new heating technology in the Demand → Buildings → Space heating section.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 2 years ago

ETM Pro - 2022.05

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 3 years ago

ETM Pro - 2022.04

Additions and improvements for EU countries

With the inclusion of Cyprus, Estonia and Malta, all countries of the EU are now included in the model! You can check out these countries by selecting one of them in the region dropdown when starting a new scenario.

Freight transport by vans

Instead of being included in truck transport, vans are now shown in the model as a separate category of their own. This enables you to make different choices for developments in trucks and vans technologies and their use in the Demand → Transport → Freight transport section.

Explore Demand Side Response in industry

You can now explore the effects of Demand Side Response in the industry on the sub-sector level in the Flexibility section of the model, under Net Load.

Capacity to shift the electricity demand can be installed for the metal, chemical, and other industry. In hours when the electricity price is too high, the sector will then be able to decrease its demand. The shortage that accumulates during those hours is caught up at a later time, when the electricity price is lower, thereby saving costs for industry.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw about 3 years ago

ETM Pro - 2022.03

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw about 3 years ago

ETM Pro - 2021.09

Determine the oil mix and add bio oil

It is now possible to determine the oil mix and add bio oils for households, buildings, industry and agriculture. You can do this under Supply → Biomass → Mix of oil and oil products.

Hydrogen trains

Hydrogen trains are seen as an opportunity to replace diesel trains. You can now add hydrogen trains to your scenario by using the new slider in Demand → Transport → Passenger transport → Train technology.

CCS Waste incinerators

Even though waste incinerators are seen as renewable energy producers, they still emit greenhouse gases. With Carbon Capture and Storage (CCS) it is possible to prevent the emission of greenhouse gases, making waste incineration more climate-friendly. You can now add CCS to waste incinerators in Emissions → CCUS → Capture of CO2.

Air heat pump buildings

Air heat pumps in buildings are used as a method to provide heating or cooling. Previously it was not possible to incorporate air heat pumps within buildings but with the addition of a heat pump slider in Demand → Buildings → Space heating & Cooling you can add them to your scenario.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 3 years ago

ETM Pro - 2021.08

Costs section restructured and new efficiency sliders

The "Costs" section in the ETM has been restructured and new sliders were added describing the efficiencies of technologies. This means you can now adjust the efficiencies of most technologies within the ETM. You can find the efficiency sliders under Electricity, Renewable electricity and Heat. The "Costs" sidebar item has been renamed to "Costs & efficiencies".

Condensing combi boiler (hydrogen) added for households and buildings

It is now possible to add condensing combi boilers on hydrogen for space heating and hot water to your scenario. Go to Demand > Households > Space heating & hot water to adjust the slider.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 3 years ago

ETM Pro - 2021.06

New Greenhouse gases section

An Emissions item has been added to the sidebar consisting of the existing ‘CCUS’ section, and a new ‘Greenhouse gases’ section. In the new Greenhouse gases section you can view and make assumptions about non-energetic CO2 emissions and other greenhouse gases. All energetic CO2emissions are automatically calculated in the ETM based on the energy system. By adding non-energetic CO2 emissions and other greenhouse gases to the ETM you can now get an overview of all emissions in your area. These emissions are now also included in the updated Greenhouse gas footprint.

Greenhouse gas footprint update

The emissions that were added to the new emissions section have also been added to the Greenhouse gas footprint. This means that the footprint now gives an overview of all emissions within your area.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 4 years ago

ETM Pro - 2021.05

Regional source data available in ETM Dataset Manager

When you start a new scenario in the Energy Transition Model, source data for the present year is loaded into the model. This data represents the current state of the energy system of the region that you have selected. This present state is used as the basis for modelling your future scenario and is unique for every region.

To increase transparency, we have developed an online and version-controlled environment for the documentation of the regional source data: the [ETM Dataset Manager][ETM Dataset Manager]. It gives a complete and structured overview of all data and sources used for the regions. At the moment, mostly regions within countries are included; in the long run all countries will also become available through the ETM Dataset Manager.

In the ETM we have added a button directing you to the selected region in the ETM Dataset Manager to view the source data, which may be found in Results & data → Source data.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 4 years ago

ETM Pro - 2021.04

New chart showing the provision of flexibility

We have added a new chart showing the installed capacity of flexible supply and demand technologies; for example power-to-gas electrolyzers or gas power plants. Comparing those capacities to the maximum shortage and excess peak can help you determine whether you have installed enough flexible capacity to balance your energy system.

The chart can be found in [Flexibility → Overview][flexibility] where we have also updated the explanations accompanying the charts. We now discuss the inflexible demand and supply and the residual load curves in more detail.

New chart showing the stored volume of electricity

A relevant performance metric for electricity storage technologies is the extent to which they are utilised. We have visualised the charging and discharging behaviour of these technologies in a new chart which shows the hourly stored volume of electricity.

You can find the chart in [Flexibility → Excess electricity → Storage][electricity storage]. You can choose to view all of the electricity storage technologies at once, or just one of...

• Batteries in households
• Batteries in electric vehicles
• Large-scale batteries
• Underground pumped hydro storage
• Reservoirs (depending on the selected region)

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw about 4 years ago

ETM Pro - 2021.02

New charts showing the need for flexibility

Natural patterns like seasons (yearly), the variations in weather (weekly), day and night and our rhythm of waking up, going to work, coming home, etc. cause both the need for energy and the availability of energy to fluctuate. Flexibility is about balancing energy supply and demand on all these timescales.

We have added the Flexibility → Overview section to the ETM, with four interactive charts in which you can see how supply and demand compare on various timescales. These charts show:

• Monthly supply and demand volumes
• Imbalance of monthly supply and demand volumes
• The need for flexibility: volume
• The need for flexibility: capacity

A detailed explanation can be found in the documentation.

Modify profiles

The ETM calculates the hourly production and demand of gas, electricity, heat, and hydrogen. It is now also possible to upload and work with your own curves in the [Flexibility → Modify Profiles][modify curves slide] section. There are three types of profiles you can modify:

1. Demand profiles (e.g. electric buses, industrial heating)
2. Production profiles (e.g. solar PV, wind offshore)
3. Price curves (e.g. for power interconnectors)

The chart on the right shows all profiles which you may customise. If you upload a custom profile this is directly reflected in the chart.

Check out the Curves documentation for more information.

Download charts as images

Need to use a chart in a report, or want to share it with colleagues? All charts in the model can now be downloaded as a high-resolution image by clicking the button just above the chart.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw about 4 years ago

ETM Pro - 2020.11

Carbon capture, utilisation and storage (CCUS)

Carbon capture, utilisation and storage (CCUS) is a group of emissions reduction technologies that can be applied across the energy system. The ETM now takes into account CCUS applications in much more detail than before.

The ETM models four types of carbon capture:

• Capture in industry. A distinction is now made between various sub sectors and production technologies and their respective capture potentials, costs and energy requirements.
• Capture in the power sector
• Capture for hydrogen production
• Direct Air Capture, a process of capturing CO2 directly from the ambient air using electricity.

The ETM models four types of carbon usage:

• Offshore storage
• Utilisation of CO2 as feedstock for synthetic kerosene production
• Utilisation of CO2 as feedstock for synthetic methanol production
• Other utilisation, such as propellant gas for beer and soda or for the cultivation of crops in greenhouses.

The ETM models two types of carbon transportation:

• Via pipelines
• Liquefied transport in ships

Discover these new features in the Supply → CCUS section! A detailed explanation can be found in our documentation.

Negative emissions

The ETM can now deal with so-called 'negative' CO2 emissions. Such emissions may arise when applying carbon capture to processes using biomass or when CO2 is captured directly from the ambient air using Direct Air Capture technology. See our documentation for more.

Scenario Navigation bar

A new scenario navigation bar has been added which shows the region and end year for your scenario; when you open one of your saved scenarios, the scenario name is also shown making it easier to have multiple scenarios open in different browser tabs. Quickly save your scenario with the "Save scenario" button on the right. It's now easier to access all of your saved scenarios by visiting "My scenarios".

Interaction possible with other models from the Mondaine Suite

Multiple energy models are used to explore different parts of the complex challenge of the energy transition. A collaboration between these models makes it possible to exploit the strengths of each individual model. In the context of the Mondaine project, the Energy System Description Language (ESDL) has been developed to support the communication between the different models - it allows the models to ‘speak’ the same language.

ESDL can be used to describe information about spatial, technical, economical, social and temporal aspects of the energy transition, all in relation to each other. This makes it possible for a model to build further upon information from another model. The energy system defined in an ESDL file will be converted into slider settings - this makes it possible to explore the future energy system in the ETM and allows you to continue working on the scenario.

Check out the ESDL import functionality!

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Related releases:

• ETEngine: production-2020-11-17
• ETSource: production-2020-11-17

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw over 4 years ago

ETM Pro - 2020.07

New saved scenario pages

The saved scenario pages have been revamped with an appearance closer to the root page. Scenario titles and descriptions may be edited.

"Existing scenarios" on the front page are no longer served by ETEngine's API. Instead, ordinary saved scenarios may be featured by an administrator, with these featured scenarios instead appearing on the front page. Featured scenarios may have a custom localized title and description.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 5 years ago

ETM Pro - 2019.10

Improvements in biomass modelling

The modelling of biomass in the ETM has been improved in collaboration with TKI Nieuw Gas, Gasunie, GasTerra and TNO. Using biomass in a scenario is now simpler and more transparent. The improvements allow the user to see at a glance which biomass flows exist for the region, both for the present and the future. In addition, potentials for various biomass flows have been investigated by TNO. The ETM now shows these potentials for each region. Another important point of improvement is the addition of supercritical water gasification (SCW) and gasification of dry biomass for green gas. All required data on biomass and conversion techniques have been adjusted and documented on our GitHub based on research by TNO.

Discover all improvements to the use of biomass in the ETM!

New large-scale electricity storage technologies

Two large-scale electricity storage technologies have been added: underground pumped hydro storage and large-scale batteries. Excess electricity from renewable sources can now be stored in these technologies and supplied to the grid at a later moment. The user can adjust the costs of these technologies.

Check out the impact of these new storage technologies on the electricity network here!

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by marliekeverweij almost 5 years ago

ETM Pro - 2019.12

Natural gas demand calculated per hour

Demand and production of (natural) gas is now calculated for each hour per year rather than on a yearly basis. This allows you to see how gas use fluctuates over time, for example due to the heating of homes or electricity production. You may also explore how (peak) demand for gas will change in the future, and how this is affected by weather conditions. The results of this time-resolved calculation are depicted in three new charts about gas demand, production, and storage. You can find them by clicking the "see more charts" button in the top right corner of the ETM.

Explore the impact of extreme weather conditions

Extreme weather conditions -- such as extreme cold/warm periods and lack/excess of sunshine and wind -- may affect your scenario. Low temperatures may impact (peak) heat demand, whereas a lack of wind and sunshine may negatively affect electricity production from wind and solar power. To explore these effects, a year with extreme weather conditions can now be selected in the ETM:

• 1987: "Dunkelflaute" during extreme cold winter period
• 1997: Lack of sustainable energy (incl. "Dunkelflaute") and extreme cold days
• 2004: Excessive and scarce sustainable energy

This feature is only available for (regions in) the Netherlands.

Explore the effect of extreme weather conditions here!

CO2 factsheet available for your scenario

A visual representation of the CO2 footprint for your scenario is now available under the results section in the ETM. You can look at the footprint for your scenario's start and end year, making it easy to see the impact of your choices on CO2 emissions in your region. This sheet is ready to print.

Check out the factsheet for your scenario!

Hybrid heat in industry

It is now possible to combine gas and hydrogen burners in the industry sector with power-to-heat boilers, which reduce demand for gas and hydrogen during periods of excess electricity production. As opposed to regular (baseload) electric boilers, this new option allows users to prevent that electric boilers from running on electriciy produced by gas or hydrogen plants. The calculation is done on an hourly basis; the resulting gas and hydrogen demand profiles are therefore dependent on available surpluses. Hybrid heat is available in the following sectors: chemical industry, refineries, food industry and paper industry.

Discover the impact of hybrid heat in industry here!

Hydrogen in industry

It is now also possible to use hydrogen in the 'other industry' sector, next to the energy carriers already present.

Check out this improvement here!

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by marliekeverweij almost 5 years ago

ETM Pro - 2020.06

Multiple electrical interconnectors

Many countries import and export electricity with their neighbors through different interconnectors, and the ETM used to model this with a single electricity interconnector. However, in the real-world countries often have multiple interconnectors with different neighbours, each with their own capacity, price, and availability.

The ETM now models up to six independent interconnectors, each of which have configurable capacity, CO2 emissions, and price. You may choose whether to export only excess electricity, or if dispatchable plants may also produce electricity destined for export. You can realistically model all electricity flows across the borders of your country, and see an overview of all these electricity flows in a new chart.

Discover this new functionality in the Flexibility → Import/Export section.

Heat demand curves for buildings and agriculture

The hourly heat demand curves in the buildings and agriculture sector are now temperature dependent. This means that the shape of the demand curves will change depending on the selected weather year. Previously, the ETM used static demand profiles for the buildings sector and a flat profile for agriculture. Both sectors now use the same profile, based on data from large gas consumers, which is generated dynamically using weather data. As a result, this profile is now also available for the weather years 1987, 1997, and 2004. Heat demand in buildings and agriculture responds to outdoor temperature fluctuations, just like households heating demand.

Get insight in the impact of the weather year selection on demand curves in the Flexibility → Weather conditions section.

Impact of outdoor temperature on yearly energy demand

The impact of a higher or lower average outdoor temperature has been revised. In addition to heating and cooling demand in households and buildings, changing outdoor temperature now also affects heating demand in the agriculture sector. Heating demand in all three sectors now is more sensitive to temperature changes; the impact of temperature on heat demand is based on research by the Dutch gas TSO. See our documentation page for more info. This improvement is relevant for both the temperature slider and the weather year selection.

Check out this improvement in the Flexibility → Weather conditions section.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 5 years ago

ETM Pro - 2020.03

Curtailment of solar panels

Installing a large capacity of solar PV panels may cause high peak demands on the electricity network. It is therefore desirable to be able to curtail these peaks. In some cases it might be smart to connect solar parks to a certain percentage of its peak power. It is now possible to set the curtailment as a percentage of the peak power in the ETM.

Discover the curtailment of solar panels in the Flexibility → Net load section!

Convert excess electricity into heat for district heating

It is now possible to convert electricity excesses from solar and wind production into heat for district heating. This can be done by means of a power-to-heat (P2H) electric boiler and a P2H heat pump that only produce heat when there is an excess of electricity. The produced heat can be used immediately or can be stored for later use. For example, it is now possible to use solar and wind electricity excesses to heat households during winter.

Check out the P2H sliders for district heating in the Flexibility → Excess electricity → Conversion section!

Get insight in behaviour of hybrid heat pumps

The efficiency of hybrid heat pumps (HHP) is dependent on the ambient temperature and is depicted by the coefficient of performance (COP). The COP becomes lower as the outside temperature decreases. In the ETM you can set the COP threshold above which the HHP switches from gas to electricity. You can choose a setting that is most financially attractive for the consumer, but you can also choose a setting that produces less impact on the electricity network. Two charts have been added to assist the user in making this choice: a chart showing the cost-optimal threshold COP based on the consumer gas/electricity price and a chart showing gas and electricity demand per hour.

Get insight in hybrid heat pump behavior in the Flexibility → Net load section!

Improved heating demand curves for households

The improved hourly heating demand curves used in the ETM better account for the concurrency of heating demand. The new curves are based on the average demand of 300 houses. Previously, demand curves were based on individual households which led to an overestimation of demand peaks.

Note: Because the heat demand peaks for households are lower, the results of your scenario might change. For example, when many houses are connected to district heating fewer back-up boilers may be required. If many houses have a heat pump installed, the peak load on the electricity grid will be reduced.

Data export adjusted

In the data export, the hourly electricity curves for space heating in households have been broken down into series for individual heating technologies. This makes it possible to view the electricity hourly demand curve for air source heat pumps and other electric heating technologies.

District heating improved and expanded

The modeling of district heating has been improved and expanded!

• Heating networks in households, buildings, and agriculture have been merged into one network ("residential district heating"). It is no longer possible to exchange excess heat between industrial (steam) networks and residential networks.

• The demand and production of heat for residential district heating is now calculated on an hourly basis instead of on an annual basis.

• A distinction is made between "must-run" sources and "dispatchable" sources. Dispatchables only run if the must-runs do not produce enough to meet the demand. The operating hours and profiles are therefore variable. Users can set which heaters start first.

• It is now possible to use large-scale solar thermal plants for residential district heating

• Users can choose to turn seasonal heat storage 'on'. In that case, overproduction of must-run sources is stored for later use instead of being dumped

• Residual heat from the fertilizer, chemical, refining, and IT sectors can be used and fed into residential district heating networks. View our documentation on GitHub for the method and sources used

• The cost calculation for heat infrastructure has been improved. Instead of calculating a fixed amount per connection, the costs are now subdivided into indoor costs, distribution costs (pipelines, substations) and primary network costs. The cost calculation has been aligned with the Vesta MAIS model, making comparisons and exchange of outcomes between the ETM and Vesta MAIS easier. View our documentation on GitHub for more information.

Discover the improved modelling of district heating in the District heating → Heat sources section and check out our Github documentation for a more detailed explanation.

CHPs modeled differently

All CHPs (with the exception of biogas-CHP) now also work as dispatchable in the electricity merit order, including the industrial CHPs. CHPs are therefore now running primarily for the electricity market. Their heat production is therefore a "given" (must-run) for heat networks. Previously, CHPs were uncontrollable and ran with a fixed, flat production profile. This change may have an impact on your scenario outcomes!

Wind load curves improved

The wind load curves for the default dataset of the Netherlands are now created using the same (KNMI-based) method as used for the extreme weather years (1987, 1997, 2004). This ensures more consistency between the different datasets for the Netherlands. Check out our Github documentation for a more detailed explanation of this method.

Documentation more accessible

For certain sliders it was already possible to view the technical specifications so that you could see our assumptions. Now we go one step further and for many sliders we also make our entire background analysis available (which is already on GitHub) at the touch of a button. From the technical specifications table you can download this analysis directly as an Excel file.

Download slider settings

For saved scenarios it is possible to download the values ​​of your sliders as a CSV file. This can be useful if you want to list all your scenario changes. View your saved scenarios via "User> My scenarios" (top right in the ETM) and click on the title of the desired scenario. Now enter '.csv' after the url (so you get pro.energytransitionmodel.com/saved_scenarios/0000.csv) and the download starts immediately.

Data export adjusted

The format of the load and price curves of electricity has recently changed. For each column in the data export the extension "input" or "output" is used to indicate whether the data represents demand or supply of electricity. Flexibility solutions have two columns now, both for the electricity input and output. With these changes, the format of the data exports of electricity, network gas and hydrogen are more consistent.

You can find the adjusted data export here in the Data export → Merit order price section.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 5 years ago

ETM Pro - 2019.07

All RES regions available!

All 30 Dutch RES-regions are now available in the Energy TransitioModel. You can explore these energy systems and make energy scenarios. For example, look at the effect of...

• Placing a solar park in Drechtsteden;
• Insulating all terraced houses in Central Holland; or
• Building ten wind turbines in the Cleantech region

User friendliness improvements

Many improvements have been made to the user friendliness of the ETM.

• Introduction: There is a clear introduction where the process for creating scenarios is explained.
• Saving scenarios: You can use the "save" or "save as" function when creating your scenarios. By using the "save" function you overwrite the scenario while the name and link remain intact. Using "save as" allows you to make a copy, for which you must provide a new name (this is similar to the old way of saving a scenario).
• Supply sliders: The units of the supply sliders changed from "number of units" to MW, which makes it easier to translate known plans and objectives into slider settings, without the need for conversions themselves.
• Residences: Changes in numbers of residences do not have to be set per type of residence anymore. An increase in the total number of residences automatically increases the numbers of different residence types, based on the current) mix. This mix of residence types (terraced houses, detached houses,
  etc) can be changed. Check out the new residences sliders.

Imported electricity price curve

Instead of the price of imported electricity being constant throughout the year, you may now choose to upload a CSV file which can describe a custom price for each hour (of which there are 8,760 per year). The position of imported electricity in the merit order will change by the hour depending on how competitive it is relative to domestic generation technologies.

Our documentation contains more information on this feature, including instructions on how to format your CSV file.

Hourly curves updated

The ETM models supply and demand of electricity and hydrogen on an hourly basis. We have reviewed all profiles in close cooperation with the energy modelling community and clearly documented the sources and methods on Github. This process was concluded with a mini-symposium where the results were presented and we identified areas for improvement. Documentation on all hourly curves can be found here.

Multi-year charts

The new multi-year charts module allows you to explore the possible transition paths to a 2050 scenario and discover the actions and consequences for aspired goals in 2023, 2030 and 2040. The charts provide insights into the transition paths of the most important aspects of the energy system (final energy demand, CO2 emissions, and renewables). For each of these years you are able to further edit the slider settings to make adjustments to the scenarios. Explore the new multi-year charts module.

Other updates

• Non-energetic demand chemical industry: It is possible to adjust the non-energetic demand in the chemical industry. For example, fossil carriers can be substituted by biomass/hydrogen with the new sliders
• Hydrogen plant (CCGT): Besides the peak load hydrogen plant, it is also possible to use a base load hydrogen plant (CCTG) in a scenario.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 6 years ago

ETM Pro - 2018.06

Hydrogen as fully-fledged energy carrier

Hydrogen is now a fully-fledged energy carrier and it is possible to choose from several production routes in the ETM:

• Steam-methane reforming (SMR), with or without CCS
• Offshore wind parks solely producing hydrogen by electrolysis
• Solar parks solely producing hydrogen by electrolysis
• Electrolyzers that run on excess electricity from the HV-net

The produced H2 can then be used:

• As fuel in cars, busses and trucks
• For heat production in industry and built environment
• For electricity production
• As feedstock for fertilizer production

A renewed electricity network calculation

The ETM can calculate the hourly impact on the different future net levels based on the choices you make in your scenario. As a result, the ETM calculates the needed capacity and the costs of the future net levels.

• The ETM distinguishes between low, medium and high voltage levels, and also the transformers between the voltage levels.
• It includes the offshore wind net and the interconnection net between a region and its neighbours.
• All technologies have a profile that together adds up to mimic the TenneT-curve.
• These technologies are connected to a specific net level.
• The peaks of the future determine the needed capacity of the future net.

See the documentation of the network calculation for more details.

New regions can explore their future

• Utrecht, Province
• Haarlemmermeer
• Noord-Beveland
• Schouwen-Duiveland
• Veere

New charts

• A chart that shows energetic final demand.
• A supply and demand chart for the hydrogen net
• Several new charts for the new network calculation. Showing per net level the dynamic demand, net impact, the required new net, and the costs.

CO2 factsheet

All regions can start with an overview of their CO2 footprint.

Energy Systems - Energy System Modeling Frameworks - Ruby
Published by antw almost 7 years ago