<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ADGEO</journal-id><journal-title-group>
    <journal-title>Advances in Geosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7359</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/adgeo-54-173-2020</article-id><title-group><article-title>Geological storage capacity for green excess energy<?xmltex \hack{\break}?> readily available in
Germany</article-title><alt-title>Geological storage capacity</alt-title>
      </title-group><?xmltex \runningtitle{Geological storage capacity}?><?xmltex \runningauthor{M.~K\"{u}hn et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Kühn</surname><given-names>Michael</given-names></name>
          <email>michael.kuehn@gfz-potsdam.de</email>
        <ext-link>https://orcid.org/0000-0003-2650-6774</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Nakaten</surname><given-names>Natalie C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Kempka</surname><given-names>Thomas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6317-5113</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>GFZ German Research Centre for Geosciences, Fluid Systems Modelling,
14473 Potsdam, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute of Geosciences, University of Potsdam, 14476 Potsdam,
Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Michael Kühn (michael.kuehn@gfz-potsdam.de)</corresp></author-notes><pub-date><day>3</day><month>December</month><year>2020</year></pub-date>
      
      <volume>54</volume>
      <fpage>173</fpage><lpage>178</lpage>
      <history>
        <date date-type="received"><day>12</day><month>June</month><year>2020</year></date>
           <date date-type="rev-recd"><day>5</day><month>October</month><year>2020</year></date>
           <date date-type="accepted"><day>6</day><month>November</month><year>2020</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2020 Michael Kühn et al.</copyright-statement>
        <copyright-year>2020</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://adgeo.copernicus.org/articles/54/173/2020/adgeo-54-173-2020.html">This article is available from https://adgeo.copernicus.org/articles/54/173/2020/adgeo-54-173-2020.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/54/173/2020/adgeo-54-173-2020.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/54/173/2020/adgeo-54-173-2020.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e101">Energy supply in Germany is subject to a profound change.
The present paper addresses the German potential of storing excess energy
from renewable power sources in the geological subsurface. Wind and solar
electricity can be transformed into hydrogen, and with carbon dioxide
subsequently into methane. When needed, electricity is regained in a gas
turbine power plant combusting the methane. Here, we are taking into account
the actual German storage capacity for natural gas and show that the
outlined technology is ready for operation and economically competitive. The
current potential for combined storage of methane and carbon dioxide allows
to store around 80 TWh renewable excess energy. This is far more than
required to date and estimated to provide the entire coverage in 2050.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e113">The Paris Climate Agreement is based on numerous scientific findings on the
causes of climate change and emphasises the increasingly apparent and
serious impact of anthropogenic contributions (Luderer et al., 2018).
However, the steps that the signatory states will have to take to achieve
the self-imposed targets of the agreement are significant (acatech, 2018).
The energy supply in Germany is subject to profound change (Henning and
Palzer, 2014; Hartmann et al., 2012). Therefore, the present paper addresses
the German potential for the innovative idea of storing excess energy from
renewable power sources by synthetic natural gas (SNG), applying the
“Power-to-Gas” (P2G) technology in an environmental-friendly manner
(Kühn, 2013).</p>
      <p id="d1e116">P2G technologies offer a promising long-term storage approach for converting
renewable electricity into a chemical form to serve the energy demands in
related end-use sectors. Gorre et al. (2020) outline that P2G is widely and
deeply developed, and at the edge of a mass roll-out. They state that the
remaining barriers are no longer technical, but regulatory and economic.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e121">Schematic of the PGP cycle integrated with geological storage to
decarbonise the conventional P2G technology.</p></caption>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/54/173/2020/adgeo-54-173-2020-f01.png"/>

      </fig>

      <p id="d1e131">With P2G, excess wind and solar electricity is transformed into hydrogen
(H<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>), and with carbon dioxide (CO<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) subsequently into methane
(CH<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> – synthetic natural gas) or colloquially called “wind or solar
gas”. When needed, electricity can be regained in a gas turbine power plant
combusting the methane, extending P2G to “Power-to-Gas-to-Power” (PGP;
Sterner and Stadler, 2017). To close the carbon cycle, carbon dioxide is
captured on site. Thus, geological subsurface storage for both gases is
required for the technology (Kühn et al., 2013). With a regional show
case for the city of Potsdam (Brandenburg, Germany), we were able to prove
the overall energy and cost efficiency (Streibel et al., 2013).</p>
      <p id="d1e161">Within the present study, we are taking into account the actual German
storage capacity in operation for natural gas (EID, 2019). We investigate
the technology to store excess energy in form of methane and to convert it
into electricity via PGP based on the actual demand, and we update the
classification of the PGP competitiveness on the global energy market. The
questions to be answered are: how much storage capacity is already available
in the German geological subsurface for such operation and how competitive
is the proposed technology?</p>
</sec>
<?pagebreak page174?><sec id="Ch1.S2">
  <label>2</label><title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Power-to-Gas-to-Power Technology</title>
      <p id="d1e179">An innovative approach that complies with essential demands of the European
Strategic Energy Technology Plan (SET Plan) is the patented PGP technology,
an extension of the conventional P2G concept. This “system and method for
ecologically generating and storing electricity” (Kühn, 2013) considers
the conversion of excess renewable energy to hydrogen, and subsequently to
methane by using carbon dioxide that is maintained in a closed cycle (Fig. 1).</p>
      <p id="d1e182">If the current electricity demand is lower than its production from
renewable sources, excess electricity from, e.g., wind power (i), is
transformed into H<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (ii) and then into CH<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> using CO<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (iii).
CH<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is stored in a reservoir in the geological subsurface (iv) and
electrified on demand (v) in a Combined-Cycle Gas Turbine power plant
(CCGT). CO<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is captured from the CCGT power plant's flue gas and stored
in a secondary subsurface reservoir (vi), closing the carbon cycle. The
added value of a closed carbon cycle by capturing and temporarily storing
CO<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> in a subsurface reservoir results from CO<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> being always at
hand when excess energy needs to be transformed into CH<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 1).</p>
      <p id="d1e258">Energy storage on the basis of methane offers three major advantages over
hydrogen storage: (i) it represents the current state-of-the-art and can be
applied immediately, (ii) retransformation of methane into electricity can
make use of established power plant technologies, and (iii) methane can be
easily fed into the existing natural gas network. This is why an essential
contribution to the electricity market in Germany and in Europe can be
expected (Kühn et al., 2014a).</p>
      <p id="d1e261">CCGT power plants are advantageous, because they can be flexibly started up
and shut down for load balancing and base load provision in the electricity
network. Furthermore, the power output is scalable over a range between
80  and 400 MW per block, what makes the system profitable even for
smaller units. Hence, decentralisation and control of electricity in “smart
grids” is supported (Streibel et al., 2013; Sterner and Stadler, 2017).</p>
      <p id="d1e265">The overall efficiency of the PGP approach is given by Streibel et al.
(2013) based on chemical energies taking into account reaction enthalpies
for all process steps included. Therein, methanization is presumed with an
efficiency of 80 % and electrolysis as well with 80 % (DVGW, 2014). CCGT
is based on a 60 % efficiency (Nakaten et al., 2014), reduced by the
energy loss of 8 % due to coupled CO<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> capture with an efficiency of
90 % (Metz et al., 2005). The result is a total efficiency of the entire
PGP process of 26 %. This is without the provision of residual heat, which
would further increase the efficiency. It is important to note that
subsurface storage is literally insignificant for the overall efficiency
causing a loss of only 0.2 % (Streibel et al., 2013).</p>
      <p id="d1e277">In addition, it is shown that one subsurface storage reservoir for both
gases, CH<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and CO<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, in combination with the proven Enhanced Gas
Recovery (EGR) operation provides an alternative option for the outlined
concept (Kühn et al., 2014b). EGR helps to maintain and manage the
reservoir pressure, increase the sweep efficiency and production rates (Metz
et al., 2005). In fact, EGR works in both directions. On the one hand,
CO<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> injection enhances CH<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> recovery, and on the other hand
CH<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> injection displaces CO<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> equally efficient (van der Meer,
2005). The ideal depth for EGR is expected to start at 700 m, where CO<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
density and viscosity start to notably increase depending on temperature and
pressure. The biggest jump in density occurs between 70 and 90 bar. The
increase of both values for CH<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is gradual and substantially lower
within this range. The larger the difference in density and viscosity of
both gases, the lower the occurring gas component mixing. However, mixing of
both gases in the reservoir is inevitable and needs to be minimised to
optimise the<?pagebreak page175?> efficiency of single-reservoir P2G systems. Feasible injection
rates and injection schedules can be derived from an integrated reservoir
stability analysis (Ma et al., 2019).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Geological subsurface gas storage in Germany</title>
      <p id="d1e361">The State Office for Mining, Energy and Geology of Lower Saxony (LBEG,
Hannover) annually compiles relevant data from industry. The statistical and
descriptive information about the natural gas storage serves companies and
politics as a source of evidence and information. More than 40 subsurface
storage sites for natural gas exist in Germany to date
(EID, 2019). They provide a total storage capacity of around 24 billion sm<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math id="M22" display="inline"><mml:mo lspace="0mm">=</mml:mo></mml:math></inline-formula> standard cubic metres) of CH<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> working gas, which
represents an energy equivalent of around 240 TWh (specific calorific value
of approximately 9.8 to 11.5 kWh m<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> depending on the average gas
quality). These sites are either porous formations (16 in operation, 38 %
of total working gas volume) or caverns in salt structures (31 in operation,
62 % of total working gas volume). As caverns are assumed to be almost
completely gas-tight, they should probably be preferred for H<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> storage
in the near future. Therefore, our estimate is solely based on the existing
and operating 16 storage sites in porous media (Table 1). The working gas
volume of these sites is around 9 billion standard m<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> with an energy
equivalent of 90 TWh. The total gas volume stored in porous media is around
18 billion standard m<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>, representing an average ratio of 50 % working
gas to 50 % cushion gas. The depth of the 16 storage sites ranges from
350 m down to 2930 m and the reservoirs used are either saline aquifers or
former oil and natural gas deposits. Reservoirs in former gas deposits are
of pronounced importance for the German storage capacity in porous media
(Table 1). The advantage of former deposits is the excellent data basis for
the description of the reservoirs and their caprocks, and thus the deduction
of potential overall storage performances. The respective sandstone
formations are located in the sedimentary basins of North, East and Southern
Germany (EID, 2019).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e432">Natural gas storage in operation in porous reservoirs in Germany
(EID, 2019).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Storage sites</oasis:entry>
         <oasis:entry colname="col2">Reservoir type</oasis:entry>
         <oasis:entry colname="col3">Depth (m)</oasis:entry>
         <oasis:entry colname="col4">Total gas volume</oasis:entry>
         <oasis:entry colname="col5">Working gas</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">(Mio. standard m<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5">(Mio. standard m<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Allmenhausen</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">350</oasis:entry>
         <oasis:entry colname="col4">380</oasis:entry>
         <oasis:entry colname="col5">62</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Bad Lauchstädt</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">800</oasis:entry>
         <oasis:entry colname="col4">670</oasis:entry>
         <oasis:entry colname="col5">440</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Bierwang</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">1560</oasis:entry>
         <oasis:entry colname="col4">3140</oasis:entry>
         <oasis:entry colname="col5">1000</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Breitbrunn-Eggstätt</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">1900</oasis:entry>
         <oasis:entry colname="col4">2075</oasis:entry>
         <oasis:entry colname="col5">992</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Eschenfelden</oasis:entry>
         <oasis:entry colname="col2">saline aquifer</oasis:entry>
         <oasis:entry colname="col3">600</oasis:entry>
         <oasis:entry colname="col4">168</oasis:entry>
         <oasis:entry colname="col5">72</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Frankenthal</oasis:entry>
         <oasis:entry colname="col2">saline aquifer</oasis:entry>
         <oasis:entry colname="col3">600–1000</oasis:entry>
         <oasis:entry colname="col4">300</oasis:entry>
         <oasis:entry colname="col5">90</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Fronhofen-Illmensee</oasis:entry>
         <oasis:entry colname="col2">former oil deposit</oasis:entry>
         <oasis:entry colname="col3">1750–2200</oasis:entry>
         <oasis:entry colname="col4">153</oasis:entry>
         <oasis:entry colname="col5">10</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hähnlein</oasis:entry>
         <oasis:entry colname="col2">saline aquifer</oasis:entry>
         <oasis:entry colname="col3">500</oasis:entry>
         <oasis:entry colname="col4">160</oasis:entry>
         <oasis:entry colname="col5">80</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Inzenham</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">680–880</oasis:entry>
         <oasis:entry colname="col4">880</oasis:entry>
         <oasis:entry colname="col5">425</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rehden</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">1900–2250</oasis:entry>
         <oasis:entry colname="col4">7000</oasis:entry>
         <oasis:entry colname="col5">4400</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sandhausen</oasis:entry>
         <oasis:entry colname="col2">saline aquifer</oasis:entry>
         <oasis:entry colname="col3">600</oasis:entry>
         <oasis:entry colname="col4">60</oasis:entry>
         <oasis:entry colname="col5">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Schmidhausen</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">1015</oasis:entry>
         <oasis:entry colname="col4">310</oasis:entry>
         <oasis:entry colname="col5">154</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Stockstadt</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">500</oasis:entry>
         <oasis:entry colname="col4">94</oasis:entry>
         <oasis:entry colname="col5">45</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Stockstadt</oasis:entry>
         <oasis:entry colname="col2">saline aquifer</oasis:entry>
         <oasis:entry colname="col3">450</oasis:entry>
         <oasis:entry colname="col4">180</oasis:entry>
         <oasis:entry colname="col5">90</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Uelsen</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">1470–1525</oasis:entry>
         <oasis:entry colname="col4">1579</oasis:entry>
         <oasis:entry colname="col5">860</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Wolfersberg</oasis:entry>
         <oasis:entry colname="col2">former gas deposit</oasis:entry>
         <oasis:entry colname="col3">2930</oasis:entry>
         <oasis:entry colname="col4">583</oasis:entry>
         <oasis:entry colname="col5">365</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Update of the competitiveness of the technology on the energy market</title>
      <p id="d1e806">Our previous economic assessments have shown that PGP is economically
competitive compared to conventional storage technologies, whereby its
efficiency still requires optimization (Streibel et al., 2013; Kühn et
al., 2014a, b). Hereby, energy production and storage technology economics
used in the previous assessment originate from the year 2012. However, cost
trends related to energy production and storage significantly correlate with
fuel and commodity prices. For example, CO<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emission charges as well as
technology improvements rapidly changed in the past few years. Therefore, we
update the classification of the PGP competitiveness within the presented
study.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Readily available geological subsurface storage capacity</title>
      <p id="d1e834">The answer to the question how much storage capacity is already available in
the German geological subsurface is based on the sites in operation (EID,
2019; Table 1). In view of an EGR process, it is outlined that the
preferable depth for the mutual displacement of CH<inline-formula><mml:math id="M31" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and CO<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is
700 m and below (Kühn et al., 2014b). This reduces the number of
suitable storage sites (Table 1) to 10 of 16 with a total working gas volume
of around 8.7 billion standard m<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>, representing an energy equivalent of
more than 80 TWh. Following this criterion, the suitable German sites are
Bad Lauchstädt, Bierwang, Breitbrunn-Eggstätt, Frankenthal,
Fronhofen-Illmensee, Inzenham, Rehden, Schmidhausen, Uelsen and Wolfersberg
(Table 1), whereas the reservoirs of Allmenhausen, Eschenfelden,
Hähnlein, Sandhausen and Stockstadt are too shallow. Except for the site
Frankenthal, representing a saline aquifer and Fronhofen-Illmensee, located
in a former oil deposit, the other seven candidate sites use reservoirs in
former gas deposits.</p>
      <p id="d1e864">Feed-in management refers to regulations that are applied to renewable
energy systems, so that electricity produced cannot be fed into the power
grid. Restrictions are necessary if parts of the power grid are overloaded.
The majority of the regulated amount of electricity comes from wind energy.
In 2017 and 2018, over 5 TWh of wind energy had to be curtailed (Renewable
Energies Agency, 2020). However, instead of regulating systems, it would
make more sense to store the electricity. The described technology provides
in that way much more than the capacity needed at the moment. Sterner and
Stadler (2017) compare ten different scenarios for the energy market of
Germany and estimate an average of just below 80 TWh excess energy and
required storage capacity for the year 2050. The presented numbers show that
this demand can be covered by geological storage.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Competitiveness on the global energy market</title>
      <p id="d1e875">The answer to the question how competitive the technology is, was derived
based on cost data applied to ascertain current and future market trends
from different literature sources. Cost of electricity (COE) bandwidths for
photovoltaic (4 to 22 eurocents per kWh), solar thermal power (4 to
23 eurocents per kWh), wind offshore (7 to 14 eurocents per kWh) and onshore (5 to
9 eurocents per kWh) as well as fossil fuels (4 to 10 eurocents per kWh), consisting
of upper and lower limit COE for lignite, hard coal and gas fired power
plants, were taken from Höfling (2016) and the Global Renewable Energy
Status Report (REN21, 2017). Hereby, newly installed RE plant costs vary
widely, depending on site quality, specific economic characteristics and
direct<?pagebreak page176?> normal irradiance (DNI) levels of a given location. Thereby, cost
differences in the conventional energy production technologies arise rather
from varying operating hours (REN21, 2017). Considerable cost uncertainties
with respect to conventional energy production technologies are future fuel
and CO<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emission fee developments. Variations in pumped storage
hydropower costs are also related to site-specific conditions such as
catchment geology and hydrogeology, access to transmission grids as well as
overall construction costs. According to the Global Renewable Energy Status
Report (REN21, 2017) and the National Hydropower Association's Pumped
Storage Development Council (PSDC, 2017), the bandwidth of pumped storage
costs covers a range of 43 to 149 eurocents per kWh. A cost position of high
uncertainty is the charge for transmission interconnection, which was not
considered in the suggested cost bandwidth. These costs can range from
negligible charges to substantial amounts according to existing transmission
line capacities as well as size and distance of new lines (IRENA, 2017).
Since pumped hydropower storage is a technology with decades of operating
experience, major technology improvements are not anticipated in the future
in terms of costs, structures and transformation efficiency (IRENA, 2017).
The COE bandwidth for compressed air energy storage systems were derived to
be 30 to 55 eurocents per kWh. However, an increased utilization of waste heat
from compression is expected to improve average efficiencies by 2030,
resulting in further cost reduction (IRENA, 2017). According to the Handbook
of Energy Storage for Transmission or Distribution Applications (EPRI,
2002), levelized costs of pumped hydropower storage and compressed air
energy storage represent the lowest cost forms of large grid-scale energy
storage technologies.</p>
      <p id="d1e887">Taking into account costs for energy conversion during the hydrogenation and
methanation processes as well as all costs related to CO<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> capture and
gas storage operation, study case-related PGP costs can currently not
compete with the aforementioned global fossil and onshore/offshore wind
energy production technology COE, which are exceeded by 30 % to 80 %
(Fig. 2). However, PGP costs are up to 10 % below those of upper limit
solar thermal power and photovoltaic COE as well as up to 80 % below
pumped hydropower and compressed air energy storage costs, and thus
competitive on the global energy market (Fig. 2).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e901">PGP COE (20 eurocents per kWh) compared to global levelized cost
bandwidths for fossil fuel and renewable energy production as well as
large-grid scale energy storage technologies costs (REN21, 2017;
Höfling, 2016; IRENA, 2017).</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/54/173/2020/adgeo-54-173-2020-f02.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Discussion and conclusions</title>
      <p id="d1e919">The growing share of wind and solar energy makes it more complex to balance
power generation and demand at any time. Due to the variable availability,
the need for flexibility increases in order to keep the energy system
stable. Flexible, decentralised producers and consumers will keep the
dynamic interplay of electricity supply and demand in balance in the future.
In that regard, subsurface natural gas storage (CH<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> – synthetic
natural gas, SNG) offers capacities and a state-of-the-art technology to
store and reuse wind and solar energy. Combined geological storage could be
employed via EGR, with CH<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and CO<inline-formula><mml:math id="M38" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> placed in the same reservoir to
be mutually working and cushion gas for each other. Due to gas density and
viscosity variations with temperature and pressure, storage from 700 m depth
and below will particularly reduce undesired mixing between both gases.</p>
      <?pagebreak page177?><p id="d1e949"><?xmltex \hack{\newpage}?>Natural gas is still the second-most important primary energy source for
Germany with a ratio of 24 %, with 93 % being imported (EID, 2019). This
is why storage facilities play a central role for the entire German energy
system. The classic task of subsurface gas storage is the daily and seasonal
compensation of consumption peaks. The most recent development in natural
gas storage in Germany is characterised by stagnation of the available total
working gas volume and an increase in the significance of cavern storage at
the expense of porous reservoirs. This resulted in the decommissioning of a
couple of high-capacity storage sites within the last years with a storage
capacity of around 10 TWh (determined from comparison of EID report 2012
with EID report, 2019). We conclude that these sites should have better been
used for excess energy storage from renewables instead of being abandoned,
because in that way the storage potential required to date would be covered.
On the long run, a storage potential of more than 80 TWh is readily
available in the subsurface of Germany, which is actually the amount of
excess energy expected for the year 2050 (Sterner and Stadler, 2017). This
provides as well an opportunity to significantly reduce the amount of
imported natural gas by the provision of “wind and solar gas”, which would
make Germany more independent of the global market.</p>
      <p id="d1e953">Besides the gas storage reservoirs in operation, which we assessed within
the presented study, the geological subsurface of Germany provides an even
higher, mainly unexplored storage potential. A further estimate can be
deduced from investigations in regard to Carbon Capture and Storage (CCS).
Knopf et al. (2010) determined a storage capacity of 9 billion tonnes
CO<inline-formula><mml:math id="M39" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> based on 400 locations. Taking into account the densities of
CO<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and CH<inline-formula><mml:math id="M41" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> as well as the specific calorific value of the latter,
the storage potential is more than 2 orders of magnitude higher (about 30 PWh) than the one mentioned above.</p>
      <p id="d1e983">From the cost data on different energy production and storage technologies
compiled for the evaluation of PGP competitiveness on the energy market, it
becomes obvious that available data provide an uncertain comparative basis,
only. Nevertheless, as the objective of the present study was to elaborate a
general overview on PGP's current status on the energy market, we have
performed a cost comparison and draw the following conclusions. PGP can
economically compete with global cost bandwidths for hydropower and
compressed air storage as well as with upper limit COE for solar thermal
power and photovoltaic. Consequently, future studies on PGP competitiveness
should particularly focus on the assessment of, e.g., uncertainties that may
impact PGP efficiency.</p>
      <p id="d1e987">The technology to store and reuse green excess energy in form of synthetic
methane (SNG) is available and ready for operation. It represents the
current state-of-the-art and can be applied in the short term. The storage
potential within the German subsurface is more than sufficient.
Consequently, we have an intermediate option to reduce greenhouse gas
emissions as long as hydrogen storage is still under research and
development.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e995">The underlying data are either given within the paper or elesewhere published and referenced here.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1001">MK conceptualized aims and goals; MK, NCN and TK conducted the research
work; NCN visualised the results; MK wrote the original draft and finalised
the paper; NCN and TK contributed with reviews and editing.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1007">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e1013">This article is part of the special issue “European Geosciences Union General Assembly 2020, EGU Division<?pagebreak page178?> Energy, Resources &amp; Environment (ERE)”. It is a result of the EGU General Assembly 2020, 4–8 May 2020.</p>
  </notes><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1019">The article processing charges for this open-access publication  were covered by the Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1025">This paper was edited by Johannes Miocic and reviewed by three anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>acatech: CCU and CCS – Building Blocks for Climate Protection in Industry,
Analysis, Options and Recommendations, National Academy of Science and
Engineering, acatech Position Paper, available at: available at: <ext-link xlink:href="https://en.acatech.de/publication/ccu-and-ccs-contributing-to-climate-protection-in-industry-analysis-options-and-recommendations/">https://en.acatech.de/publication/</ext-link>
(last access: 10 November  2020), 2018.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>DVGW: Technoökonomische Studie von Power-to-Gas-Konzepten Teilprojekte
B-D, DVGW Deutscher Verein des Gas- und Wasserfaches e. V.
Technisch-wissenschaftlicher Verein, Abschlussbericht DVGW-FKZ G 3/01/12 TP
B-D,  available at: <uri>https://www.dvgw.de/medien/dvgw/forschung/berichte/g3_01_12_tp_b_d.pdf</uri> (last access: 10 November  2020), 2014.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>EID Energie Informationsdienst GmbH: Underground Gas Storage in Germany,
Erdöl, Erdgas, Kohle, 128,   412–423, <ext-link xlink:href="https://doi.org/10.19225/191101" ext-link-type="DOI">10.19225/191101</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>EID Energie Informationsdienst GmbH: Underground Gas Storage in Germany,
Erdöl, Erdgas, Kohle, 135,  415–420, <ext-link xlink:href="https://doi.org/10.19225/191101" ext-link-type="DOI">10.19225/191101</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>EPRI: Handbook of Energy Storage for Transmission or Distribution
Applications. Electric Power Research Institute EPRI, USA,
available at: <ext-link xlink:href="http://www.w2agz.com/Library/EPRI Sources &amp; Reports/(2002) Handbook of Energy Storage for Transmission or Distribution Applications, EPRI 1007189.pdf">http://www.w2agz.com/Library/EPRI_Sources</ext-link>
(last access: 10 November   2020), 2002.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Gorre, J., Ruoss, F., Karjunen, H., Schaffert, J., and Tynjälä, T.:
Cost benefits of optimizing hydrogen storage and methanation capacities for
Power-to-Gas plants in dynamic operation, Appl. Energ., 257, 113967, <ext-link xlink:href="https://doi.org/10.1016/j.apenergy.2019.113967" ext-link-type="DOI">10.1016/j.apenergy.2019.113967</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>
Hartmann, N., Eltrop, L., Bauer, N., Salzer, J., Schwarz, S., and Schmidt
M.: Stromspeicherpotenziale für Deutschland, Zentrum für
Energieforschung Stuttgart ZfES, Universität Stuttgart, 2012.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>
Henning, H.-M. and Palzer, A.: A comprehensive model for the German
electricity and heat sector in a future energy system with a dominant
contribution from renewable energy technologies – Part I: Methodology,
Renew. Sustain. Energ. Rev., 30, 1003–1018, 2014.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>Höfling, H.: Kosten der Erneuerbaren Energien - Wie teuer ist der
Ökostrom wirklich? Fokus Volkswirtschaft, KfW Research, Nr. 145,
Germany, available at:
<ext-link xlink:href="https://www.kfw.de/PDF/Download-Center/Konzernthemen/Research/PDF-Dokumente-Fokus-Volkswirtschaft/Fokus-Nr.-145-Oktober-2016-Kosten-EE-Ausbau.pdf">https://www.kfw.de/PDF/Download-Center/Konzernthemen/</ext-link>
(last access: 10 November  2020), 2016.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>IRENA: Electricity storage and renewables: costs and markets to 2030,
International Renewable Energy Agency, Abu Dhabi, available at:
<ext-link xlink:href="https://www.irena.org/publications/2017/Oct/Electricity-storage-and-renewables-costs-and-markets">https://www.irena.org/publications/</ext-link>
(last access: 10 November   2020), 2017.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>Knopf, S., May, F., Müller, C., and Gerling, J. P.: Neuberechnung
möglicher Kapazitäten zur CO<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>-Speicherung in tiefen
Aquifer-Strukturen, Energiewirtschaftliche Tagesfragen, 60,  76–80, 2010 (in
German).</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>Kühn, M.: System and method for ecologically generating and storing
electricity, Patent WO 2013156611 A1, available at: <uri>https://patents.google.com/patent/EP2838980A1/en</uri> (last access: 1 December 2020), 2013.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>
Kühn, M., Nakaten, N. C., Streibel, M., and Kempka, T.: Carbon Neutral
and Flexible Underground Storage of Renewable Excess Energy, Erdöl,
Erdgas, Kohle, 129,   348–352, 2013 (in German).</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>Kühn, M., Streibel, M., Nakaten, N. C., and Kempka, T.: Integrated
underground gas storage of CO<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and CH<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> to decarbonise the
“power-to-gas-to-gas-to-power” technology, Energ. Proc., 59, 9–15,
2014a.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>Kühn, M., Nakaten, N. C., Streibel, M., and Kempka, T.: CO<inline-formula><mml:math id="M45" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
Geological Storage and Utilization for a Carbon Neutral
“Power-to-gas-to-power” Cycle to Even Out Fluctuations of Renewable Energy
Provision, Energ. Proc., 63, 8044–8049, 2014b.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>Luderer, G.,Vrontisi, Z., Bertram, C., Edelenbosch, O. Y., Pietzcker, R. C.,
Rogelj, J., De Boer, H. S., Drouet, L., Emmerling, J., Fricko, O., Fujimori,
S., Havlik, P., Iyer, G., Keramidas, K., Kitous, A., Pehl, M., Krey, V.,
Riahi, K., Saveyn, B., Tavoni, M., Van Vuuren, D. P., and Kriegler, E.:
Residual Fossil CO<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> Emissions in 1.5–2 <inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C Pathways, Nat.
Clim. Change, 8, 626–633, 2018.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>Ma, J., Qi, L., Kempka, T., and Kühn, M.: Hydromechanical Response and
Impact of Gas Mixing Behavior in Subsurface CH<inline-formula><mml:math id="M48" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> Storage with
CO<inline-formula><mml:math id="M49" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>Based Cushion Gas, Energ. Fuels, 33, 6527–6541, 2019</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>
Metz, B., Davidson, O., de Coninck, H. C., Loos, M., and Meyer, L. A.: Special
report on carbon dioxide capture and storage prepared by working group III
of the intergovernmental panel on climate change (IPCC), Cambridge
University Press, Cambridge, 2005.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>Nakaten, N. C., Schlüter, R., Azzam, R., and Kempka, T.: Development of a
techno-economic model for dynamic calculation of cost of electricity, energy
demand and CO<inline-formula><mml:math id="M50" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions of an integrated UCG–CCS process, Energy, 66,
779–790, 2014.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>PSDC: Challenges and Opportunities For New Pumped Storage Development, A
White Paper Developed by National Hydropower Association's (NHA) Pumped
Storage Development Council, available at:
<uri>https://www.hydro.org/wp-content/uploads/2017/08/NHA_PumpedStorage_071212b1.pdf</uri> (last access: 10 November
2020), 2017.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>Renewable Energies Agency: <uri>https://www.unendlich-viel-energie.de/english</uri>, last access: 10 November
2020.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>REN21: Global Status Report. Renewable Energy Policy Network for the
21st Century, Paris, available at:
<uri>https://de.scribd.com/document/377754637/17-8399-GSR-2017-Full-Report-0621-Opt-pdf</uri>
(last access: 10 November   2020), 2017.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>
Sterner, M. and Stadler, I.: Energiespeicher – Bedarf, Technologien,
Integration, Springer Publishers, 2017.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>
Streibel, M., Nakaten, N. C., Kempka, T., and Kühn, M.: Analysis of an
Integrated Carbon Cycle for Storage of renewables, Energ. Proc., 40,
202–211, 2013.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>
van der Meer, B.: Carbon dioxide storage in natural gas reservoirs, Oil &amp;
Gas Science and Technology – Rev. IfP, 60,   527–536, 2005.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Geological storage capacity for green excess energy readily available in Germany</article-title-html>
<abstract-html><p>Energy supply in Germany is subject to a profound change.
The present paper addresses the German potential of storing excess energy
from renewable power sources in the geological subsurface. Wind and solar
electricity can be transformed into hydrogen, and with carbon dioxide
subsequently into methane. When needed, electricity is regained in a gas
turbine power plant combusting the methane. Here, we are taking into account
the actual German storage capacity for natural gas and show that the
outlined technology is ready for operation and economically competitive. The
current potential for combined storage of methane and carbon dioxide allows
to store around 80&thinsp;TWh renewable excess energy. This is far more than
required to date and estimated to provide the entire coverage in 2050.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
acatech: CCU and CCS – Building Blocks for Climate Protection in Industry,
Analysis, Options and Recommendations, National Academy of Science and
Engineering, acatech Position Paper, available at: available at: <a href="https://en.acatech.de/publication/ccu-and-ccs-contributing-to-climate-protection-in-industry-analysis-options-and-recommendations/" target="_blank">https://en.acatech.de/publication/</a>
(last access: 10 November  2020), 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
DVGW: Technoökonomische Studie von Power-to-Gas-Konzepten Teilprojekte
B-D, DVGW Deutscher Verein des Gas- und Wasserfaches e. V.
Technisch-wissenschaftlicher Verein, Abschlussbericht DVGW-FKZ G 3/01/12 TP
B-D,  available at: <a href="https://www.dvgw.de/medien/dvgw/forschung/berichte/g3_01_12_tp_b_d.pdf" target="_blank"/> (last access: 10 November  2020), 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
EID Energie Informationsdienst GmbH: Underground Gas Storage in Germany,
Erdöl, Erdgas, Kohle, 128,   412–423, <a href="https://doi.org/10.19225/191101" target="_blank">https://doi.org/10.19225/191101</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
EID Energie Informationsdienst GmbH: Underground Gas Storage in Germany,
Erdöl, Erdgas, Kohle, 135,  415–420, <a href="https://doi.org/10.19225/191101" target="_blank">https://doi.org/10.19225/191101</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
EPRI: Handbook of Energy Storage for Transmission or Distribution
Applications. Electric Power Research Institute EPRI, USA,
available at: <a href="http://www.w2agz.com/Library/EPRI Sources &amp; Reports/(2002) Handbook of Energy Storage for Transmission or Distribution Applications, EPRI 1007189.pdf" target="_blank">http://www.w2agz.com/Library/EPRI_Sources</a>
(last access: 10 November   2020), 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Gorre, J., Ruoss, F., Karjunen, H., Schaffert, J., and Tynjälä, T.:
Cost benefits of optimizing hydrogen storage and methanation capacities for
Power-to-Gas plants in dynamic operation, Appl. Energ., 257, 113967, <a href="https://doi.org/10.1016/j.apenergy.2019.113967" target="_blank">https://doi.org/10.1016/j.apenergy.2019.113967</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Hartmann, N., Eltrop, L., Bauer, N., Salzer, J., Schwarz, S., and Schmidt
M.: Stromspeicherpotenziale für Deutschland, Zentrum für
Energieforschung Stuttgart ZfES, Universität Stuttgart, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Henning, H.-M. and Palzer, A.: A comprehensive model for the German
electricity and heat sector in a future energy system with a dominant
contribution from renewable energy technologies – Part I: Methodology,
Renew. Sustain. Energ. Rev., 30, 1003–1018, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Höfling, H.: Kosten der Erneuerbaren Energien - Wie teuer ist der
Ökostrom wirklich? Fokus Volkswirtschaft, KfW Research, Nr. 145,
Germany, available at:
<a href="https://www.kfw.de/PDF/Download-Center/Konzernthemen/Research/PDF-Dokumente-Fokus-Volkswirtschaft/Fokus-Nr.-145-Oktober-2016-Kosten-EE-Ausbau.pdf" target="_blank">https://www.kfw.de/PDF/Download-Center/Konzernthemen/</a>
(last access: 10 November  2020), 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
IRENA: Electricity storage and renewables: costs and markets to 2030,
International Renewable Energy Agency, Abu Dhabi, available at:
<a href="https://www.irena.org/publications/2017/Oct/Electricity-storage-and-renewables-costs-and-markets" target="_blank">https://www.irena.org/publications/</a>
(last access: 10 November   2020), 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Knopf, S., May, F., Müller, C., and Gerling, J. P.: Neuberechnung
möglicher Kapazitäten zur CO<sub>2</sub>-Speicherung in tiefen
Aquifer-Strukturen, Energiewirtschaftliche Tagesfragen, 60,  76–80, 2010 (in
German).
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Kühn, M.: System and method for ecologically generating and storing
electricity, Patent WO 2013156611 A1, available at: <a href="https://patents.google.com/patent/EP2838980A1/en" target="_blank"/> (last access: 1 December 2020), 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Kühn, M., Nakaten, N. C., Streibel, M., and Kempka, T.: Carbon Neutral
and Flexible Underground Storage of Renewable Excess Energy, Erdöl,
Erdgas, Kohle, 129,   348–352, 2013 (in German).
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Kühn, M., Streibel, M., Nakaten, N. C., and Kempka, T.: Integrated
underground gas storage of CO<sub>2</sub> and CH<sub>4</sub> to decarbonise the
“power-to-gas-to-gas-to-power” technology, Energ. Proc., 59, 9–15,
2014a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Kühn, M., Nakaten, N. C., Streibel, M., and Kempka, T.: CO<sub>2</sub>
Geological Storage and Utilization for a Carbon Neutral
“Power-to-gas-to-power” Cycle to Even Out Fluctuations of Renewable Energy
Provision, Energ. Proc., 63, 8044–8049, 2014b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Luderer, G.,Vrontisi, Z., Bertram, C., Edelenbosch, O. Y., Pietzcker, R. C.,
Rogelj, J., De Boer, H. S., Drouet, L., Emmerling, J., Fricko, O., Fujimori,
S., Havlik, P., Iyer, G., Keramidas, K., Kitous, A., Pehl, M., Krey, V.,
Riahi, K., Saveyn, B., Tavoni, M., Van Vuuren, D. P., and Kriegler, E.:
Residual Fossil CO<sub>2</sub> Emissions in 1.5–2&thinsp;°C Pathways, Nat.
Clim. Change, 8, 626–633, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Ma, J., Qi, L., Kempka, T., and Kühn, M.: Hydromechanical Response and
Impact of Gas Mixing Behavior in Subsurface CH<sub>4</sub> Storage with
CO<sub>2</sub>Based Cushion Gas, Energ. Fuels, 33, 6527–6541, 2019
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Metz, B., Davidson, O., de Coninck, H. C., Loos, M., and Meyer, L. A.: Special
report on carbon dioxide capture and storage prepared by working group III
of the intergovernmental panel on climate change (IPCC), Cambridge
University Press, Cambridge, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Nakaten, N. C., Schlüter, R., Azzam, R., and Kempka, T.: Development of a
techno-economic model for dynamic calculation of cost of electricity, energy
demand and CO<sub>2</sub> emissions of an integrated UCG–CCS process, Energy, 66,
779–790, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
PSDC: Challenges and Opportunities For New Pumped Storage Development, A
White Paper Developed by National Hydropower Association's (NHA) Pumped
Storage Development Council, available at:
<a href="https://www.hydro.org/wp-content/uploads/2017/08/NHA_PumpedStorage_071212b1.pdf" target="_blank"/> (last access: 10 November
2020), 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Renewable Energies Agency: <a href="https://www.unendlich-viel-energie.de/english" target="_blank"/>, last access: 10 November
2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
REN21: Global Status Report. Renewable Energy Policy Network for the
21st Century, Paris, available at:
<a href="https://de.scribd.com/document/377754637/17-8399-GSR-2017-Full-Report-0621-Opt-pdf" target="_blank"/>
(last access: 10 November   2020), 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Sterner, M. and Stadler, I.: Energiespeicher – Bedarf, Technologien,
Integration, Springer Publishers, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Streibel, M., Nakaten, N. C., Kempka, T., and Kühn, M.: Analysis of an
Integrated Carbon Cycle for Storage of renewables, Energ. Proc., 40,
202–211, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
van der Meer, B.: Carbon dioxide storage in natural gas reservoirs, Oil &amp;
Gas Science and Technology – Rev. IfP, 60,   527–536, 2005.
</mixed-citation></ref-html>--></article>
