remove exogenous rooftop_share
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@ -714,7 +714,6 @@ industry:
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costs:
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year: 2030
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version: v0.9.0
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rooftop_share: 0.14 # based on the potentials, assuming (0.1 kW/m2 and 10 m2/person)
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social_discountrate: 0.02
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fill_values:
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FOM: 0
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@ -1,7 +1,6 @@
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,Unit,Values,Description
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year,--,YYYY; e.g. '2030',Year for which to retrieve cost assumptions of ``resources/costs.csv``.
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version,--,vX.X.X or <user>/<repo>/vX.X.X; e.g. 'v0.5.0',Version of ``technology-data`` repository to use. If this string is of the form <user>/<repo>/<version> then costs are instead retrieved from ``github.com/<user>/<repo>`` at the <version> tag.
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rooftop_share,--,float,Share of rooftop PV when calculating capital cost of solar (joint rooftop and utility-scale PV).
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social_discountrate,p.u.,float,Social discount rate to compare costs in different investment periods. 0.02 corresponds to a social discount rate of 2%.
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fill_values,--,float,Default values if not specified for a technology in ``resources/costs.csv``.
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capital_cost,EUR/MW,Keys should be in the 'technology' column of ``resources/costs.csv``. Values can be any float.,"For the given technologies, assumptions about their capital investment costs are set to the corresponding value. Optional; overwrites cost assumptions from ``resources/costs.csv``."
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@ -550,9 +550,6 @@ The list of available biomass is given by the category in `ENSPRESO_BIOMASS <htt
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:widths: 22,7,22,33
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:file: configtables/costs.csv
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.. note::
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``rooftop_share:`` are based on the potentials, assuming
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(0.1 kW/m2 and 10 m2/person)
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.. _clustering_cf:
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@ -9,6 +9,11 @@ Release Notes
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Upcoming Release
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================
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* Remove exogenously set share of rooftop PV (``costs: rooftop_share:``).
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Rooftop and utility-scale PV are now largely handled as separate technologies
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with endogenous shares.
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* New technology, solar PV with single-axis horizontal tracking (on a N-S axis),
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with a carrier called ``solar-hsat`` to the networks. The default option for adding
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this technology is set to ``true`` in the ``config.yaml``.
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@ -230,10 +230,7 @@ def load_costs(tech_costs, config, max_hours, Nyears=1.0):
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costs.at["OCGT", "co2_emissions"] = costs.at["gas", "co2_emissions"]
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costs.at["CCGT", "co2_emissions"] = costs.at["gas", "co2_emissions"]
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costs.at["solar", "capital_cost"] = (
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config["rooftop_share"] * costs.at["solar-rooftop", "capital_cost"]
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+ (1 - config["rooftop_share"]) * costs.at["solar-utility", "capital_cost"]
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)
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costs.at["solar", "capital_cost"] = costs.at["solar-utility", "capital_cost"]
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costs = costs.rename({"solar-utility single-axis tracking": "solar-hsat"})
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