• 96 views | 2 messages Discussion: LEAP
    Topic: Modeling Restrictions in fuel use mixSubscribe | Previous | Next
  • APOSTOLOS TSIRIVIS 4/5/2016

    249 Views

    My problem this time is reagarding modeling with Leap specific fuel use restrictions. Specificaly, I need to implement the restrictions of EREC 2050 in my model, which includes several fuel mix restrictions such as:1) Renewable energy resources must produce 90% of the total electricity,2)Renewable energy resources in Final demand to be 90%, 3)Biogas in Transport to be 10%. Any ideas of how l model such restrictions directly using Leap?

    Thnk you very much for your valuable help so far in my attempt exploring and building my model using Leap.

    Apostolos
  • Taylor Binnington 4/12/2016
      Best Response

    248 Views

    Hi Apostolos,

    First, the electricity sector. To directly control the generation mix, you can use the PercentShare dispatch rule:

    http://www.energycommunity.org/WebHelpPro/Transformation/Process_Dispatch_Rules.htm

    This allows you to specify the percentage of module requirements that each plant attempts to meet, as long as there is sufficient available capacity.

    (Aside: if you are using LEAP's optimization capability in the power sector, you may also be interested in reading about the Renewable Target variable: http://www.energycommunity.org/WebHelpPro/Transformation/Renewable_Target.htm)

    For final energy demands, if will be up to you to control the share of renewable fuels consumed in various sectors. There are a large number of different ways to build your model to accommodate such a policy. Since you are trying to meet a target across all final demand sectors, you will need to decide which sectors assume which role in meeting this target.

    The target may be simple to implement in a model which is constructed in a top-down fashion (i.e. total consumption of fuel by sector, without regard for the devices in which the fuels are consumed), when you have the flexibility to simply increase the share of renewable fuels via the Activity Level variable, or the Fuel Share variable, as appropriate. More highly-disaggregated end-use demands in your tree will present you with more options to implement the renewable policy across all final demands.

    Taylor