Heat pump revisions for regional datasets

[kndehaan]

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Closes issue ...

Goes with pull requests #3472

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[kndehaan]

Due to a mismatch between how efficiencies of heat pumps for hot water are set in the national (full) dataset and regional (derived) datasets, an imbalance arises in the energy graph, which breaks the model.

• Regional dataset use the same efficiency for both heat pumps used for space heating and hot water. So the hybrid heat pump for hot water for example uses the efficiency of the same technology for space heating (see households_final_demand_for_hot_water_electricity-households_water_heater_hybrid_heatpump_air_water_electricity@electricity+parent_share). Hybrid heat pump for hot water therefore consume electricity in the regional datasets.
• For the national dataset, the hot water heat pump efficiency can be set separately from the space heating technology. In Heat pump revisions for nl2023 #3472, households_water_heater_hybrid_heatpump_air_water_electricity_efficiency.csv is updated so that it only requires network gas. In the national dataset, the hybrid heat pump does not consume electricity.
• This goes wrong in the sparse graph query (SGQ) households_water_heater_hybrid_heatpump_air_water_electricity+input (see below), where the input of electricity, network_gas, and ambient_heat is determined. ambient_relative_to_elec in this SGQ divides 0 with 0, resulting in NaN. The IF statement at the then sets the efficiencies to the same value as the parent dataset. This results in the mismatch in flows in the energy graph.

elec_tj = DATASET_INPUT(households_final_demand_electricity_demand) * DATASET_INPUT(households_final_demand_electricity_households_final_demand_for_hot_water_electricity_parent_share) * SPARSE_GRAPH_QUERY("households_final_demand_for_hot_water_electricity-households_water_heater_hybrid_heatpump_air_water_electricity@electricity", parent_share);
ambient_relative_to_elec = NODE_EFFICIENCY(households_water_heater_hybrid_heatpump_air_water_electricity, input, ambient_heat) / NODE_EFFICIENCY(households_water_heater_hybrid_heatpump_air_water_electricity, input, electricity);
ambient_tj = elec_tj * ambient_relative_to_elec;
gas_tj = DATASET_INPUT(households_final_demand_network_gas_demand) * DATASET_INPUT(households_final_demand_network_gas_households_final_demand_for_hot_water_network_gas_parent_share) * SPARSE_GRAPH_QUERY("households_final_demand_for_hot_water_network_gas-households_water_heater_hybrid_heatpump_air_water_electricity@network_gas", parent_share);
total_heat = elec_tj + ambient_tj + gas_tj;

    IF(total_heat > 0.0, {
        electricity: elec_tj / total_heat,
        network_gas: gas_tj / total_heat,
        ambient_heat: ambient_tj / total_heat}, {
        electricity: NODE_EFFICIENCY(households_water_heater_hybrid_heatpump_air_water_electricity, input, electricity),
        network_gas: NODE_EFFICIENCY(households_water_heater_hybrid_heatpump_air_water_electricity, input, network_gas),
        ambient_heat: NODE_EFFICIENCY(households_water_heater_hybrid_heatpump_air_water_electricity, input, ambient_heat)}
        )

We need to discuss further how to approach this problem.