From bfdc333858e16d6458d08cec0301239638ff6e6a Mon Sep 17 00:00:00 2001
From: Adam-Dvorak1 <92300992+Adam-Dvorak1@users.noreply.github.com>
Date: Wed, 23 Nov 2022 13:52:11 +0100
Subject: [PATCH] Testing math format

---
 doc/supply_demand.rst | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/doc/supply_demand.rst b/doc/supply_demand.rst
index 03160f8e..3162644f 100644
--- a/doc/supply_demand.rst
+++ b/doc/supply_demand.rst
@@ -124,7 +124,8 @@ Pypsa-eur-sec allows individual buildings to make use of `micro gas CHPs <https:
 
 The coefficient of performance (COP) of air- and ground-sourced heat pumps depends on the ambient or soil temperature respectively. Hence, the COP is a time-varying parameter (refer to `Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L206>`_ file). Generally, the COP will be lower during winter when temperatures are low. Because the ambient temperature is more volatile than the soil temperature, the COP of ground-sourced heat pumps is less variable. Moreover, the COP depends on the difference between the source and sink temperatures:
 
-$$ &Delta; T = T_(sink) − T_(source) $$ 
+.. math::
+	&Delta; T = T_(sink) − T_(source) 
 
 For the sink water temperature Tsink we assume 55 °C [`Config <https://github.com/PyPSA/pypsa-eur-sec/blob/3daff49c9999ba7ca7534df4e587e1d516044fc3/config.default.yaml#L207>`_ file] For the time- and location-dependent source temperatures Tsource, we rely on the `ERA5 <https://doi.org/10.1002/qj.3803>`_ reanalysis weather data. The temperature differences are converted into COP time series using results from a regression analysis performed in the study by `Stafell et al. <https://pubs.rsc.org/en/content/articlelanding/2012/EE/c2ee22653g>`_. For air-sourced heat pumps (ASHP), we use the function: