Design Aspects for Large-scale Pit and Aquifer Thermal Energy Storage for District Heating and Cooling. Schmidt, T., Pauschinger, T., Sørensen, P. A., Snijders, A., Djebbar, R., Boulter, R., & Thornton, J. Energy Procedia, 149:585–594, September, 2018. ![Design Aspects for Large-scale Pit and Aquifer Thermal Energy Storage for District Heating and Cooling [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex LAaAbrsbgtsert-arscactaclte seasonal thermal energy storage (TES) can help maximize renewable energy integration into district heating and TTa©KLa©KccaatatccSaSa©TSahhnoooonnddnneeeenaDgspTfbrcT(shheheednnoetooddyyeeddacllo22rdrrulii2hhhrrieeinwwgessqqlleorleccCs00mmmsi0eeeeddiiCCeccCceeeelonuulootnn11iio1dsittoceertpnss-ppaavarraoomsriioegg88o.ii8sssainddooellaohrttttcaoonrolaaiciaseessiassgi((nnsrDrTTntotggllTnneeoglnatn,,::DDieouiiiii.nnunnaaohhnglssnnaahnunhaadaAArlooeoHHs,nneenteennppggTegnegettppssqqetprriwaaootdd,,appdh,CCncshAAAuuggeehtllesoosttDDgellDahioyyeiinnppycie))onpiihuutlluffaatnassepcchesseeeeHHHessotttsaansiissgeaaaderrneevhhhyyetssiowccccrttnCCrctChinrraTTearoossoooeiiuuonrccsnuc–tt-eooevrttmr22o2rrshhrrteerroorrfraeeeieayrdssnnsaaeueerree00er0ossoolismmtli..t.ceeggsrrvvlvssc111wshsllccvtimmtPPhtnnPteedssiitsihsns888mihaarraeeaeoattiuuswu..aaeiia...llrreoaalfww((owrnttrllembbyybttHHturpPPteernneknfiigEEniolllomerrccawrTTddcaauussaooiiuietnniimetssllsAplvvnaawwnnnaEEhdeeiheehhfehrccaenaa,,dddlrrrdeldeSSeeooeeerauurvggoiicussceetecenedddllevvss))unnyyppwraminoaarrdrlv..ttneeesirddleebbobbdnbcySSrraermaarrneTTddeeccteollenyyesy,,tttnlsdsroeeaaooiihrrsshhotsarpmlgeeeaffer..ttEErryppEpleiiptttiaexxdmyuaaaat,ossehhccmooohllelsrggppcbwwssseetntnilinseudsppeeccteeeeoooooceuceitsssepeooaaCCrrvv((vCondcooisiii(ahttrAAaappsslbbiibainlsr.iinsCCdtCttteeesseeeysaTTiiohtithdissrrtaeellelrhrrccgpnaheBBEEiiiieeBtdooaattt5LLeLtleaagrppessSSyyyilYYddnmmY9nnrssttotrro))ci(diddfedsoo.ooo;;dd-n–nwoppheT52ttem..r.NNNffvvfPPhhsadaaae%0cccE,iiiittLeetasCCrrCnstoo%ttddhhhSaoiiiiansgiTTnneessbntt–ee-e(nesrn)deeNNNeoossccdhhit.bddfssdscclerrnneeecomoiDDTDccicaahheerrrtssapsriiinimytbmmttnnhnoeeneyerreeoolllcuaiieeennnaadiiineopcc(ffolicccppstllvvhtttedPdflloaahiieneeievvrrdEEiileifffillolooueeewnnn,saaainiio–ilnnscrwwccjjinspeessstprrgygeedteeeeliiieeccgurrrciccnyasoocce,mggeootossgooot(((tttgreuu.vyyennuudhsshhrhneammmrassemTioommeetdtattlSSiixohttnt)mnntssmmermmth,ttppps,hiummuettooopmroosstssttieiisiirrrvrewh)thh:::tthaacccaarrleet.//itt/eayeaaeewggrreee//z/eeaqtppyycccTggneeeaaeeesiffmduwerrroooeetsaiio((eeeoffeaiooeettrnPPeruardooaaatssveefellffioeaTTrhsedderryyotttnnentgnttteiiipseEEmsshshhhttlhvvvecciiiedtoriiottSSssenieeieweeaauueeacmgpl))arcccllolmmrrin1ao11;;aoheiicnoorroafsdoo6mmnLL66sbdfeeissmmdmticefftttslaann,,etn–iiheahheaesihrrttmmttmaaaardrvgg,neeneetoIIIrssqqeeAAceeehdddnnnaoooonuhuunr–aswwemrtnnttnrTTosseaateiivtseieeeccdffssmsvoeednnaeEEcraorrreaaee...ollnastg)nnddolooorllsrrSSell.oieetarsaayturrrdniaadtt(ottrtgggHttoTThhllhaauatissiieerdio///sotnooeehhnnet,donflllmeaaewnieeiirrnnfrddwybwtmcocceesdemmrraeaaass,e.ecmmeebchlePPgnuullpiibneaanntmtssvTiaaarSdmmeTTSSiayllncsssallvceccrhyieyyeeehEEateemmEEancreuutiiemdsssmmrh,nnntSSeoennrr/ai//iuaaeeesbopbbrranpdueepprdrrreeorrssrreyfsttyyomooyyaeiggggahnnyytlhsi—sssueuyycbryynssettnnntoo,fieiirlletrtottuultuucccyfyfhSSaiieehetssomnmofic—mmutttottmmaainuaannnootcoonfgrrppdbtdtrrddontrrssssollhroouaappiiiieaaa,,.r///oesosnngg)nnr444llmggccfdtdeiiineeasor...kknnDeeccacDD;;ou000tiartaanifccocDDcmc/h//ooiniio((obbll)))dtsnssoidAArffuudiinrlltnettsssouehreeddrrrrTTtttgihiuiiclrrceevhsaiicccdiimmeEEnnrgllotaaprcctrttiieeaegghtttnSSleaapooHHHaditdueHHnbbsn))lddsddteediieeeollhgieeeecdodoocseeeeeanaavaalleaerrrifssmtllttgttaaasetwiiiiriiiihinpptnnggnnnnnntea6aorietegiiggnndsddggggoin6hnttrace)nd5eestt., anTdhCeoovlainluge of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.
@article{schmidt_design_2018,
title = {Design {Aspects} for {Large}-scale {Pit} and {Aquifer} {Thermal} {Energy} {Storage} for {District} {Heating} and {Cooling}},
volume = {149},
issn = {18766102},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1876610218305198},
doi = {10.1016/j.egypro.2018.08.223},
abstract = {LAaAbrsbgtsert-arscactaclte seasonal thermal energy storage (TES) can help maximize renewable energy integration into district heating and TTa©KLa©KccaatatccSaSa©TSahhnoooonnddnneeeenaDgspTfbrcT(shheheednnoetooddyyeeddacllo22rdrrulii2hhhrrieeinwwgessqqlleorleccCs00mmmsi0eeeeddiiCCeccCceeeelonuulootnn11iio1dsittoceertpnss-ppaavarraoomsriioegg88o.ii8sssainddooellaohrttttcaoonrolaaiciaseessiassgi((nnsrDrTTntotggllTnneeoglnatn,,::DDieouiiiii.nnunnaaohhnglssnnaahnunhaadaAArlooeoHHs,nneenteennppggTegnegettppssqqetprriwaaootdd,,appdh,CCncshAAAuuggeehtllesoosttDDgellDahioyyeiinnppycie))onpiihuutlluffaatnassepcchesseeeeHHHessotttsaansiissgeaaaderrneevhhhyyetssiowccccrttnCCrctChinrraTTearoossoooeiiuuonrccsnuc--tt-eooevrttmr22o2rrshhrrteerroorrfraeeeieayrdssnnsaaeueerree00er0ossoolismmtli..t.ceeggsrrvvlvssc111wshsllccvtimmtPPhtnnPteedssiitsihsns888mihaarraeeaeoattiuuswu..aaeiia...llrreoaalfww((owrnttrllembbyybttHHturpPPteernneknfiigEEniolllomerrccawrTTddcaauussaooiiuietnniimetssllsAplvvnaawwnnnaEEhdeeiheehhfehrccaenaa,,dddlrrrdeldeSSeeooeeerauurvggoiicussceetecenedddllevvss))unnyyppwraminoaarrdrlv..ttneeesirddleebbobbdnbcySSrraermaarrneTTddeeccteollenyyesy,,tttnlsdsroeeaaooiihrrsshhotsarpmlgeeeaffer..ttEErryppEpleiiptttiaexxdmyuaaaat,ossehhccmooohllelsrggppcbwwssseetntnilinseudsppeeccteeeeoooooceuceitsssepeooaaCCrrvv((vCondcooisiii(ahttrAAaappsslbbiibainlsr.iinsCCdtCttteeesseeeysaTTiiohtithdissrrtaeellelrhrrccgpnaheBBEEiiiieeBtdooaattt5LLeLtleaagrppessSSyyyilYYddnmmY9nnrssttotrro))ci(diddfedsoo.ooo;;dd-n--nwoppheT52ttem..r.NNNffvvfPPhhsadaaae\%0cccE,iiiittLeetasCCrrCnstoo\%ttddhhhSaoiiiiansgiTTnneessbntt--ee-e(nesrn)deeNNNeoossccdhhit.bddfssdscclerrnneeecomoiDDTDccicaahheerrrtssapsriiinimytbmmttnnhnoeeneyerreeoolllcuaiieeennnaadiiineopcc(ffolicccppstllvvhtttedPdflloaahiieneeievvrrdEEiileifffillolooueeewnnn,saaainiio--ilnnscrwwccjjinspeessstprrgygeedteeeeliiieeccgurrrciccnyasoocce,mggeootossgooot(((tttgreuu.vyyennuudhsshhrhneammmrassemTioommeetdtattlSSiixohttnt)mnntssmmermmth,ttppps,hiummuettooopmroosstssttieiisiirrrvrewh)thh:::tthaacccaarrleet.//itt/eayeaaeewggrreee//z/eeaqtppyycccTggneeeaaeeesiffmduwerrroooeetsaiio((eeeoffeaiooeettrnPPeruardooaaatssveefellffioeaTTrhsedderryyotttnnentgnttteiiipseEEmsshshhhttlhvvvecciiiedtoriiottSSssenieeieweeaauueeacmgpl))arcccllolmmrrin1ao11;;aoheiicnoorroafsdoo6mmnLL66sbdfeeissmmdmticefftttslaann,,etn–iiheahheaesihrrttmmttmaaaardrvgg,neeneetoIIIrssqqeeAAceeehdddnnnaoooonuhuunr--aswwemrtnnttnrTTosseaateiivtseieeeccdffssmsvoeednnaeEEcraorrreaaee...ollnastg)nnddolooorllsrrSSell.oieetarsaayturrrdniaadtt(ottrtgggHttoTThhllhaauatissiieerdio///sotnooeehhnnet,donflllmeaaewnieeiirrnnfrddwybwtmcocceesdemmrraeaaass,e.ecmmeebchlePPgnuullpiibneaanntmtssvTiaaarSdmmeTTSSiayllncsssallvceccrhyieyyeeehEEateemmEEancreuutiiemdsssmmrh,nnntSSeoennrr/ai//iuaaeeesbopbbrranpdueepprdrrreeorrssrreyfsttyyomooyyaeiggggahnnyytlhsi---sssueuyycbryynssettnnntoo,fieiirlletrtottuultuucccyfyfhSSaiieehetssomnmofic---mmutttottmmaainuaannnootcoonfgrrppdbtdtrrddontrrssssollhroouaappiiiieaaa,,.r///oesosnngg)nnr444llmggccfdtdeiiineeasor...kknnDeeccacDD;;ou000tiartaanifccocDDcmc/h//ooiniio((obbll)))dtsnssoidAArffuudiinrlltnettsssouehreeddrrrrTTtttgihiuiiclrrceevhsaiicccdiimmeEEnnrgllotaaprcctrttiieeaegghtttnSSleaapooHHHaditdueHHnbbsn))lddsddteediieeeollhgieeeecdodoocseeeeeanaavaalleaerrrifssmtllttgttaaasetwiiiiriiiihinpptnnggnnnnnntea6aorietegiiggnndsddggggoin6hnttrace)nd5eestt., anTdhCeoovlainluge of slope coefficient increased on average within the range of 3.8\% up to 8\% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7\% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.},
language = {en},
urldate = {2023-05-11},
journal = {Energy Procedia},
author = {Schmidt, Thomas and Pauschinger, Thomas and Sørensen, Per Alex and Snijders, Aart and Djebbar, Reda and Boulter, Raymond and Thornton, Jeff},
month = sep,
year = {2018},
pages = {585--594},
}
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A.","Snijders, A.","Djebbar, R.","Boulter, R.","Thornton, J."],"bibdata":{"bibtype":"article","type":"article","title":"Design Aspects for Large-scale Pit and Aquifer Thermal Energy Storage for District Heating and Cooling","volume":"149","issn":"18766102","url":"https://linkinghub.elsevier.com/retrieve/pii/S1876610218305198","doi":"10.1016/j.egypro.2018.08.223","abstract":"LAaAbrsbgtsert-arscactaclte seasonal thermal energy storage (TES) can help maximize renewable energy integration into district heating and TTa©KLa©KccaatatccSaSa©TSahhnoooonnddnneeeenaDgspTfbrcT(shheheednnoetooddyyeeddacllo22rdrrulii2hhhrrieeinwwgessqqlleorleccCs00mmmsi0eeeeddiiCCeccCceeeelonuulootnn11iio1dsittoceertpnss-ppaavarraoomsriioegg88o.ii8sssainddooellaohrttttcaoonrolaaiciaseessiassgi((nnsrDrTTntotggllTnneeoglnatn,,::DDieouiiiii.nnunnaaohhnglssnnaahnunhaadaAArlooeoHHs,nneenteennppggTegnegettppssqqetprriwaaootdd,,appdh,CCncshAAAuuggeehtllesoosttDDgellDahioyyeiinnppycie))onpiihuutlluffaatnassepcchesseeeeHHHessotttsaansiissgeaaaderrneevhhhyyetssiowccccrttnCCrctChinrraTTearoossoooeiiuuonrccsnuc–tt-eooevrttmr22o2rrshhrrteerroorrfraeeeieayrdssnnsaaeueerree00er0ossoolismmtli..t.ceeggsrrvvlvssc111wshsllccvtimmtPPhtnnPteedssiitsihsns888mihaarraeeaeoattiuuswu..aaeiia...llrreoaalfww((owrnttrllembbyybttHHturpPPteernneknfiigEEniolllomerrccawrTTddcaauussaooiiuietnniimetssllsAplvvnaawwnnnaEEhdeeiheehhfehrccaenaa,,dddlrrrdeldeSSeeooeeerauurvggoiicussceetecenedddllevvss))unnyyppwraminoaarrdrlv..ttneeesirddleebbobbdnbcySSrraermaarrneTTddeeccteollenyyesy,,tttnlsdsroeeaaooiihrrsshhotsarpmlgeeeaffer..ttEErryppEpleiiptttiaexxdmyuaaaat,ossehhccmooohllelsrggppcbwwssseetntnilinseudsppeeccteeeeoooooceuceitsssepeooaaCCrrvv((vCondcooisiii(ahttrAAaappsslbbiibainlsr.iinsCCdtCttteeesseeeysaTTiiohtithdissrrtaeellelrhrrccgpnaheBBEEiiiieeBtdooaattt5LLeLtleaagrppessSSyyyilYYddnmmY9nnrssttotrro))ci(diddfedsoo.ooo;;dd-n–nwoppheT52ttem..r.NNNffvvfPPhhsadaaae%0cccE,iiiittLeetasCCrrCnstoo%ttddhhhSaoiiiiansgiTTnneessbntt–ee-e(nesrn)deeNNNeoossccdhhit.bddfssdscclerrnneeecomoiDDTDccicaahheerrrtssapsriiinimytbmmttnnhnoeeneyerreeoolllcuaiieeennnaadiiineopcc(ffolicccppstllvvhtttedPdflloaahiieneeievvrrdEEiileifffillolooueeewnnn,saaainiio–ilnnscrwwccjjinspeessstprrgygeedteeeeliiieeccgurrrciccnyasoocce,mggeootossgooot(((tttgreuu.vyyennuudhsshhrhneammmrassemTioommeetdtattlSSiixohttnt)mnntssmmermmth,ttppps,hiummuettooopmroosstssttieiisiirrrvrewh)thh:::tthaacccaarrleet.//itt/eayeaaeewggrreee//z/eeaqtppyycccTggneeeaaeeesiffmduwerrroooeetsaiio((eeeoffeaiooeettrnPPeruardooaaatssveefellffioeaTTrhsedderryyotttnnentgnttteiiipseEEmsshshhhttlhvvvecciiiedtoriiottSSssenieeieweeaauueeacmgpl))arcccllolmmrrin1ao11;;aoheiicnoorroafsdoo6mmnLL66sbdfeeissmmdmticefftttslaann,,etn–iiheahheaesihrrttmmttmaaaardrvgg,neeneetoIIIrssqqeeAAceeehdddnnnaoooonuhuunr–aswwemrtnnttnrTTosseaateiivtseieeeccdffssmsvoeednnaeEEcraorrreaaee...ollnastg)nnddolooorllsrrSSell.oieetarsaayturrrdniaadtt(ottrtgggHttoTThhllhaauatissiieerdio///sotnooeehhnnet,donflllmeaaewnieeiirrnnfrddwybwtmcocceesdemmrraeaaass,e.ecmmeebchlePPgnuullpiibneaanntmtssvTiaaarSdmmeTTSSiayllncsssallvceccrhyieyyeeehEEateemmEEancreuutiiemdsssmmrh,nnntSSeoennrr/ai//iuaaeeesbopbbrranpdueepprdrrreeorrssrreyfsttyyomooyyaeiggggahnnyytlhsi—sssueuyycbryynssettnnntoo,fieiirlletrtottuultuucccyfyfhSSaiieehetssomnmofic—mmutttottmmaainuaannnootcoonfgrrppdbtdtrrddontrrssssollhroouaappiiiieaaa,,.r///oesosnngg)nnr444llmggccfdtdeiiineeasor...kknnDeeccacDD;;ou000tiartaanifccocDDcmc/h//ooiniio((obbll)))dtsnssoidAArffuudiinrlltnettsssouehreeddrrrrTTtttgihiuiiclrrceevhsaiicccdiimmeEEnnrgllotaaprcctrttiieeaegghtttnSSleaapooHHHaditdueHHnbbsn))lddsddteediieeeollhgieeeecdodoocseeeeeanaavaalleaerrrifssmtllttgttaaasetwiiiiriiiihinpptnnggnnnnnntea6aorietegiiggnndsddggggoin6hnttrace)nd5eestt., anTdhCeoovlainluge of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.","language":"en","urldate":"2023-05-11","journal":"Energy Procedia","author":[{"propositions":[],"lastnames":["Schmidt"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Pauschinger"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Sørensen"],"firstnames":["Per","Alex"],"suffixes":[]},{"propositions":[],"lastnames":["Snijders"],"firstnames":["Aart"],"suffixes":[]},{"propositions":[],"lastnames":["Djebbar"],"firstnames":["Reda"],"suffixes":[]},{"propositions":[],"lastnames":["Boulter"],"firstnames":["Raymond"],"suffixes":[]},{"propositions":[],"lastnames":["Thornton"],"firstnames":["Jeff"],"suffixes":[]}],"month":"September","year":"2018","pages":"585–594","bibtex":"@article{schmidt_design_2018,\n\ttitle = {Design {Aspects} for {Large}-scale {Pit} and {Aquifer} {Thermal} {Energy} {Storage} for {District} {Heating} and {Cooling}},\n\tvolume = {149},\n\tissn = {18766102},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S1876610218305198},\n\tdoi = {10.1016/j.egypro.2018.08.223},\n\tabstract = {LAaAbrsbgtsert-arscactaclte seasonal thermal energy storage (TES) can help maximize renewable energy integration into district heating and TTa©KLa©KccaatatccSaSa©TSahhnoooonnddnneeeenaDgspTfbrcT(shheheednnoetooddyyeeddacllo22rdrrulii2hhhrrieeinwwgessqqlleorleccCs00mmmsi0eeeeddiiCCeccCceeeelonuulootnn11iio1dsittoceertpnss-ppaavarraoomsriioegg88o.ii8sssainddooellaohrttttcaoonrolaaiciaseessiassgi((nnsrDrTTntotggllTnneeoglnatn,,::DDieouiiiii.nnunnaaohhnglssnnaahnunhaadaAArlooeoHHs,nneenteennppggTegnegettppssqqetprriwaaootdd,,appdh,CCncshAAAuuggeehtllesoosttDDgellDahioyyeiinnppycie))onpiihuutlluffaatnassepcchesseeeeHHHessotttsaansiissgeaaaderrneevhhhyyetssiowccccrttnCCrctChinrraTTearoossoooeiiuuonrccsnuc--tt-eooevrttmr22o2rrshhrrteerroorrfraeeeieayrdssnnsaaeueerree00er0ossoolismmtli..t.ceeggsrrvvlvssc111wshsllccvtimmtPPhtnnPteedssiitsihsns888mihaarraeeaeoattiuuswu..aaeiia...llrreoaalfww((owrnttrllembbyybttHHturpPPteernneknfiigEEniolllomerrccawrTTddcaauussaooiiuietnniimetssllsAplvvnaawwnnnaEEhdeeiheehhfehrccaenaa,,dddlrrrdeldeSSeeooeeerauurvggoiicussceetecenedddllevvss))unnyyppwraminoaarrdrlv..ttneeesirddleebbobbdnbcySSrraermaarrneTTddeeccteollenyyesy,,tttnlsdsroeeaaooiihrrsshhotsarpmlgeeeaffer..ttEErryppEpleiiptttiaexxdmyuaaaat,ossehhccmooohllelsrggppcbwwssseetntnilinseudsppeeccteeeeoooooceuceitsssepeooaaCCrrvv((vCondcooisiii(ahttrAAaappsslbbiibainlsr.iinsCCdtCttteeesseeeysaTTiiohtithdissrrtaeellelrhrrccgpnaheBBEEiiiieeBtdooaattt5LLeLtleaagrppessSSyyyilYYddnmmY9nnrssttotrro))ci(diddfedsoo.ooo;;dd-n--nwoppheT52ttem..r.NNNffvvfPPhhsadaaae\\%0cccE,iiiittLeetasCCrrCnstoo\\%ttddhhhSaoiiiiansgiTTnneessbntt--ee-e(nesrn)deeNNNeoossccdhhit.bddfssdscclerrnneeecomoiDDTDccicaahheerrrtssapsriiinimytbmmttnnhnoeeneyerreeoolllcuaiieeennnaadiiineopcc(ffolicccppstllvvhtttedPdflloaahiieneeievvrrdEEiileifffillolooueeewnnn,saaainiio--ilnnscrwwccjjinspeessstprrgygeedteeeeliiieeccgurrrciccnyasoocce,mggeootossgooot(((tttgreuu.vyyennuudhsshhrhneammmrassemTioommeetdtattlSSiixohttnt)mnntssmmermmth,ttppps,hiummuettooopmroosstssttieiisiirrrvrewh)thh:::tthaacccaarrleet.//itt/eayeaaeewggrreee//z/eeaqtppyycccTggneeeaaeeesiffmduwerrroooeetsaiio((eeeoffeaiooeettrnPPeruardooaaatssveefellffioeaTTrhsedderryyotttnnentgnttteiiipseEEmsshshhhttlhvvvecciiiedtoriiottSSssenieeieweeaauueeacmgpl))arcccllolmmrrin1ao11;;aoheiicnoorroafsdoo6mmnLL66sbdfeeissmmdmticefftttslaann,,etn–iiheahheaesihrrttmmttmaaaardrvgg,neeneetoIIIrssqqeeAAceeehdddnnnaoooonuhuunr--aswwemrtnnttnrTTosseaateiivtseieeeccdffssmsvoeednnaeEEcraorrreaaee...ollnastg)nnddolooorllsrrSSell.oieetarsaayturrrdniaadtt(ottrtgggHttoTThhllhaauatissiieerdio///sotnooeehhnnet,donflllmeaaewnieeiirrnnfrddwybwtmcocceesdemmrraeaaass,e.ecmmeebchlePPgnuullpiibneaanntmtssvTiaaarSdmmeTTSSiayllncsssallvceccrhyieyyeeehEEateemmEEancreuutiiemdsssmmrh,nnntSSeoennrr/ai//iuaaeeesbopbbrranpdueepprdrrreeorrssrreyfsttyyomooyyaeiggggahnnyytlhsi---sssueuyycbryynssettnnntoo,fieiirlletrtottuultuucccyfyfhSSaiieehetssomnmofic---mmutttottmmaainuaannnootcoonfgrrppdbtdtrrddontrrssssollhroouaappiiiieaaa,,.r///oesosnngg)nnr444llmggccfdtdeiiineeasor...kknnDeeccacDD;;ou000tiartaanifccocDDcmc/h//ooiniio((obbll)))dtsnssoidAArffuudiinrlltnettsssouehreeddrrrrTTtttgihiuiiclrrceevhsaiicccdiimmeEEnnrgllotaaprcctrttiieeaegghtttnSSleaapooHHHaditdueHHnbbsn))lddsddteediieeeollhgieeeecdodoocseeeeeanaavaalleaerrrifssmtllttgttaaasetwiiiiriiiihinpptnnggnnnnnntea6aorietegiiggnndsddggggoin6hnttrace)nd5eestt., anTdhCeoovlainluge of slope coefficient increased on average within the range of 3.8\\% up to 8\\% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7\\% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.},\n\tlanguage = {en},\n\turldate = {2023-05-11},\n\tjournal = {Energy Procedia},\n\tauthor = {Schmidt, Thomas and Pauschinger, Thomas and Sørensen, Per Alex and Snijders, Aart and Djebbar, Reda and Boulter, Raymond and Thornton, Jeff},\n\tmonth = sep,\n\tyear = {2018},\n\tpages = {585--594},\n}\n\n\n\n","author_short":["Schmidt, T.","Pauschinger, T.","Sørensen, P. A.","Snijders, A.","Djebbar, R.","Boulter, R.","Thornton, J."],"key":"schmidt_design_2018","id":"schmidt_design_2018","bibbaseid":"schmidt-pauschinger-srensen-snijders-djebbar-boulter-thornton-designaspectsforlargescalepitandaquiferthermalenergystoragefordistrictheatingandcooling-2018","role":"author","urls":{"Paper":"https://linkinghub.elsevier.com/retrieve/pii/S1876610218305198"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero-group/StefanHoyerGSA/4864598","dataSources":["adZ6X6SmqFoej4x9o"],"keywords":[],"search_terms":["design","aspects","large","scale","pit","aquifer","thermal","energy","storage","district","heating","cooling","schmidt","pauschinger","sørensen","snijders","djebbar","boulter","thornton"],"title":"Design Aspects for Large-scale Pit and Aquifer Thermal Energy Storage for District Heating and Cooling","year":2018}