Tutorial 1 – Example case (basics)
This tutorial goes through the implementation of the project called Example case on your All Projects page. It will show you how to implement the following features in your energy model:
The energy hub diagram of this tutorial will look like the following:
Step 0 – Getting started
> Login to the web page https://app.sympheny.com/login to be able to start constructing your model
> Click on the upper click on the upper left circled plus symbol (⊕) and name your project (e.g. Tutorial 1) to create your own project on your all project page.
> Select your project to go to the Analyses page. Add an analysis by pressing ⊕ and name it (e.g. Energy Strategy 2050).
> Select the analysis Energy Strategy 2050 and to go to the scenario page. Add an analysis by pressing ⊕ and name it (e.g. Baseline).
> Select the scenario Baseline to open the set-up page. Let’s start setting up your model!
Step 1 - Hubs
The hub section allows you to create different energy hubs that will contain multiple energy conversion, storage and/or network technologies.
> Select Add New, name it (e.g. Swiss Town) and press Add.
> Press Next on the lower right corner to move to the Energy Carriers (EC) section.
Step 2 – Energy carriers
The energy carrier section allows you to define the energy carriers that will be flowing in your energy system, e.g. heat or electricity.
> Select Add New to define an energy carrier.
> Assign the Type, Subtype and Name of the energy carrier that you will need in this tutorial and select Add. You can find the list of the ones used in the table below.
> Repeat the procedure for each energy carrier.
> Select Next, once you have added all the EC, to move to the Energy Demands section.
Step 3 – Energy Demands
Energy Demands represent the consumptions of the area that you are modelling.
> Press Add New to add an electricity or heat demand.
> Select the hub that requires the energy (only one hub here to choose from). Then select the energy carrier related to the demand. You can rename this energy demand.
The Demand Sale Price is the price paid by the end-user for the energy supplied to him/her. In this example this is neglected and therefore left blank.
Finally, the Energy Profile of the demand is needed over a year
> Press Generate Profile to make things easier and generate your site-specific profiles based on profiles saved within the database. For the Energy carriers given below, select the following Demand Type – Building Use – Building Age combinations from the Database:
· Electricity: Electricity – Multi-family House - <1970
· Heat 70°C-80°C: Space Heating – Multi-family House – <1970
> Give them an Energy Reference Area of 10’000 [m2] and select Next. This models the demand profiles for 100 multi-family housings with the assumption of 100 [m2] per housing.
Step 4 – Solar resources
Due to their intermittent (temporally varying) availability, solar resources are dealt with in a dedicated step in the scenario setup workflow.
> Select Add New to add the solar irradiance available.
> Select the energy carrier Solar Roof and the energy hub created before (i.e. Swiss Town). Then, as for the Energy Demands, you need an excel file giving the Energy Profile of the irradiance for a year given in [kWh/m2].
> Select and press Generate Profile and select the following Location – Type – Slope & Orientation combination: Lausanne – Roof – 37°, (Flat), which corresponds to the irradiance profile for a roof with a slop of 37° to the south, the optimal slope and azimuth for the city of Lausanne. Press Next.
> Give an Available Solar Collector Area of 10’000 [m2] for example and select Add.
> Select Next to move to the Imports & Exports section.
Step 5 – Import & Exports Candidates
To include the price and the CO2 emission of energy imports, those need to be added to the model. They depend of the energy carrier imported.
> Select Add New.
> Fill in the boxes for the EC Electricity like given below:
> Press Add.
> Repeat this procedure for the EC Gas but adapt the price to 0.08 [CHF/kWh] and the CO2 emissions to 0.22 [kg-CO2/kWh].
> For the EC Electricity, exports are also considered. Select Add New and fill in the boxes like the following:
> Select Add.
> Select Next to move to the Supply Technologies section.
Step 6 – Supply Technologies
Supply Technologies are divided between Conversion Technologies, Storage Technologies, and Technology Package Candidates. A technology package in the Sympheny Web app is a group of energy conversion and/or storage technologies. This feature is not used in this tutorial.
Let’s go through the supply and conversion technologies for this tutorial.
Step 6.1 – Modelling of PV panels and a Gas boiler
To model PV panels, create the conversion technology Rooftop PV.
> Select Create custom under the conversion technology candidates’ area and fill in the boxes (click on the boxes name to unfold the fields):
To be able to reuse this technology for the next Tutorial 4, this technology will be saved for later use.
> Select the Save the technology for future use box and then press Save.
> Fill in the pop-up window like the following:
> Press Save again.
> Select Create Custom once more to model a Gas Boiler, and enter the following characteristics:
Step 6.2 – Modelling of a simple heat pump
The Air Source Heat Pump used in the Example case is a very simple representation of a heat pump in which the heat source is ignored.
> Select Create Custom once more and enter the parameters of the heat pump:
Step 6.3 – Implementing a multi-output technology
This step consists in modelling a Gas CHP (Combined Heat and Power), which generates two outputs: Heat 70-80°C and Electricity.
> Select Create Custom once more and fill in the boxes like given below:
It should be noted that the small graphical representation of the supply system will only appear once the conversion technology has been created.
The efficiency is defined with respect to the primary input. The primary output is given in order to reference to the main EC. Since the CHP has two outputs one of them has to be defined as the primary output.
> Select Heat 70-80°C as the primary output.
Here again this technology will be used in Tutorial 4.
> Select the Save the technology for future use box and then press Save. Fill the opening window like the following:
Step 6.4 – Storage modelling
For this step two storage units are modelled: a battery and a heat storage unit.
> Select Create Custom under the Storage Technology Candidates tab on the lower part of the Supply technology page. The stored energy carrier is Electricity, and the Battery has the following characteristics:
The battery’s maximum capacity in kWh should be limited to a certain extent. Indeed, if no maximum capacity is entered, it is likely (depending on the input parameters) that the optimal solution in terms of emissions models the use of battery as a seasonal storage, which is not the desired output.
> Press Add.
> Repeat the procedure to add the Heat storage:
Same as for the battery, the heat storage’s maximum capacity has to be limited in order to avoid the dimensioning of seasonal heat water tank (except if this is desired).
> Select Next to move to the Network Technologies section.
Step 7 – Network Technologies and Links
Network technologies and links are used to model the pipes used to share an energy carrier between different hubs. This tutorial has only one hub and won’t need any links. See Tutorial 3 for an example with multiple hubs.
> Select Next to move to Other
Step 8 – Other
This section allows to include the current interest rate in [%] to the model. Set it to 2%.
Step 9 – Review
The review section allows to have an overview over the entire scenario specification and edit a section if it is needed.
> Select Finish Specification & Prepare for Execution to get to the execution of the model.
Step 10 – Execution & Results
Next to the Setup section you can find the Execution section where you select the scenario to be optimized, the two objectives the optimization should be based on (i.e. Minimize Life-Cycle Costs and Minimize CO2 Emissions) and finally the number of points wanted in the pareto front. The more pareto points you have the more precise your pareto front will be but the longer the execution will take.
> Select the scenario(s) for which you want to execute the analysis (otherwise the execute button will stay grey and cannot be selected)
> Select Execute to start the optimization.
> Once you receive an email that the optimization is completed, go to the Results section and Select Download to go through the results of the optimization.
> Click on View results to open the dashboard of your optimal design