Allocation of carbon dioxide emissions to the by-products of combined heat and power plants : a methodological guidance
Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is n...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Buchenau, Nadja [verfasserIn] Hannen, Conrad [verfasserIn] Holzapfel, Peter [verfasserIn] Finkbeiner, Matthias - 1966- [verfasserIn] Hesselbach, Jens - 1959- [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Rechteinformationen: |
Open Access Namensnennung 4.0 International ; CC BY 4.0 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Renewable and sustainable energy transition - Amsterdam : Elsevier, 2021, 4(2023) vom: Aug., Artikel-ID 100069, Seite 1-11 |
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| Übergeordnetes Werk: |
volume:4 ; year:2023 ; month:08 ; elocationid:100069 ; pages:1-11 |
| Links: |
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| DOI / URN: |
10.1016/j.rset.2023.100069 |
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1884378110 |
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| 520 | |a Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. | ||
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10.1016/j.rset.2023.100069 doi (DE-627)1884378110 (DE-599)KXP1884378110 DE-627 ger DE-627 rda eng Buchenau, Nadja verfasserin (DE-588)1311020713 (DE-627)187105317X aut Allocation of carbon dioxide emissions to the by-products of combined heat and power plants a methodological guidance Nadja Buchenau, Conrad Hannen, Peter Holzapfel, Matthias Finkbeiner, Jens Hesselbach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Cogeneration (dpeaa)DE-206 Combined Heat and Power (dpeaa)DE-206 Emissions allocation (dpeaa)DE-206 Evaluation scheme (dpeaa)DE-206 Finnish method (dpeaa)DE-206 Energy method (dpeaa)DE-206 Hannen, Conrad verfasserin (DE-588)1237703697 (DE-627)1764640241 aut Holzapfel, Peter verfasserin (DE-588)1311022570 (DE-627)1871053854 aut Finkbeiner, Matthias 1966- verfasserin (DE-588)120216574 (DE-627)696473895 (DE-576)292102399 aut Hesselbach, Jens 1959- verfasserin (DE-588)172136377 (DE-627)673173933 (DE-576)133008401 aut Enthalten in Renewable and sustainable energy transition Amsterdam : Elsevier, 2021 4(2023) vom: Aug., Artikel-ID 100069, Seite 1-11 Online-Ressource (DE-627)1777992419 (DE-600)3101381-8 2667-095X nnns volume:4 year:2023 month:08 elocationid:100069 pages:1-11 https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.rset.2023.100069 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 4 2023 8 100069 1-11 26 01 0206 4504070596 x1z 26-03-24 2403 01 DE-LFER 4511209847 00 --%%-- --%%-- n --%%-- l01 12-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.rset.2023.100069 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf |
| spelling |
10.1016/j.rset.2023.100069 doi (DE-627)1884378110 (DE-599)KXP1884378110 DE-627 ger DE-627 rda eng Buchenau, Nadja verfasserin (DE-588)1311020713 (DE-627)187105317X aut Allocation of carbon dioxide emissions to the by-products of combined heat and power plants a methodological guidance Nadja Buchenau, Conrad Hannen, Peter Holzapfel, Matthias Finkbeiner, Jens Hesselbach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Cogeneration (dpeaa)DE-206 Combined Heat and Power (dpeaa)DE-206 Emissions allocation (dpeaa)DE-206 Evaluation scheme (dpeaa)DE-206 Finnish method (dpeaa)DE-206 Energy method (dpeaa)DE-206 Hannen, Conrad verfasserin (DE-588)1237703697 (DE-627)1764640241 aut Holzapfel, Peter verfasserin (DE-588)1311022570 (DE-627)1871053854 aut Finkbeiner, Matthias 1966- verfasserin (DE-588)120216574 (DE-627)696473895 (DE-576)292102399 aut Hesselbach, Jens 1959- verfasserin (DE-588)172136377 (DE-627)673173933 (DE-576)133008401 aut Enthalten in Renewable and sustainable energy transition Amsterdam : Elsevier, 2021 4(2023) vom: Aug., Artikel-ID 100069, Seite 1-11 Online-Ressource (DE-627)1777992419 (DE-600)3101381-8 2667-095X nnns volume:4 year:2023 month:08 elocationid:100069 pages:1-11 https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.rset.2023.100069 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 4 2023 8 100069 1-11 26 01 0206 4504070596 x1z 26-03-24 2403 01 DE-LFER 4511209847 00 --%%-- --%%-- n --%%-- l01 12-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.rset.2023.100069 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf |
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10.1016/j.rset.2023.100069 doi (DE-627)1884378110 (DE-599)KXP1884378110 DE-627 ger DE-627 rda eng Buchenau, Nadja verfasserin (DE-588)1311020713 (DE-627)187105317X aut Allocation of carbon dioxide emissions to the by-products of combined heat and power plants a methodological guidance Nadja Buchenau, Conrad Hannen, Peter Holzapfel, Matthias Finkbeiner, Jens Hesselbach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Cogeneration (dpeaa)DE-206 Combined Heat and Power (dpeaa)DE-206 Emissions allocation (dpeaa)DE-206 Evaluation scheme (dpeaa)DE-206 Finnish method (dpeaa)DE-206 Energy method (dpeaa)DE-206 Hannen, Conrad verfasserin (DE-588)1237703697 (DE-627)1764640241 aut Holzapfel, Peter verfasserin (DE-588)1311022570 (DE-627)1871053854 aut Finkbeiner, Matthias 1966- verfasserin (DE-588)120216574 (DE-627)696473895 (DE-576)292102399 aut Hesselbach, Jens 1959- verfasserin (DE-588)172136377 (DE-627)673173933 (DE-576)133008401 aut Enthalten in Renewable and sustainable energy transition Amsterdam : Elsevier, 2021 4(2023) vom: Aug., Artikel-ID 100069, Seite 1-11 Online-Ressource (DE-627)1777992419 (DE-600)3101381-8 2667-095X nnns volume:4 year:2023 month:08 elocationid:100069 pages:1-11 https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.rset.2023.100069 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 4 2023 8 100069 1-11 26 01 0206 4504070596 x1z 26-03-24 2403 01 DE-LFER 4511209847 00 --%%-- --%%-- n --%%-- l01 12-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.rset.2023.100069 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf |
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10.1016/j.rset.2023.100069 doi (DE-627)1884378110 (DE-599)KXP1884378110 DE-627 ger DE-627 rda eng Buchenau, Nadja verfasserin (DE-588)1311020713 (DE-627)187105317X aut Allocation of carbon dioxide emissions to the by-products of combined heat and power plants a methodological guidance Nadja Buchenau, Conrad Hannen, Peter Holzapfel, Matthias Finkbeiner, Jens Hesselbach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Cogeneration (dpeaa)DE-206 Combined Heat and Power (dpeaa)DE-206 Emissions allocation (dpeaa)DE-206 Evaluation scheme (dpeaa)DE-206 Finnish method (dpeaa)DE-206 Energy method (dpeaa)DE-206 Hannen, Conrad verfasserin (DE-588)1237703697 (DE-627)1764640241 aut Holzapfel, Peter verfasserin (DE-588)1311022570 (DE-627)1871053854 aut Finkbeiner, Matthias 1966- verfasserin (DE-588)120216574 (DE-627)696473895 (DE-576)292102399 aut Hesselbach, Jens 1959- verfasserin (DE-588)172136377 (DE-627)673173933 (DE-576)133008401 aut Enthalten in Renewable and sustainable energy transition Amsterdam : Elsevier, 2021 4(2023) vom: Aug., Artikel-ID 100069, Seite 1-11 Online-Ressource (DE-627)1777992419 (DE-600)3101381-8 2667-095X nnns volume:4 year:2023 month:08 elocationid:100069 pages:1-11 https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.rset.2023.100069 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 4 2023 8 100069 1-11 26 01 0206 4504070596 x1z 26-03-24 2403 01 DE-LFER 4511209847 00 --%%-- --%%-- n --%%-- l01 12-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.rset.2023.100069 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf |
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10.1016/j.rset.2023.100069 doi (DE-627)1884378110 (DE-599)KXP1884378110 DE-627 ger DE-627 rda eng Buchenau, Nadja verfasserin (DE-588)1311020713 (DE-627)187105317X aut Allocation of carbon dioxide emissions to the by-products of combined heat and power plants a methodological guidance Nadja Buchenau, Conrad Hannen, Peter Holzapfel, Matthias Finkbeiner, Jens Hesselbach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Cogeneration (dpeaa)DE-206 Combined Heat and Power (dpeaa)DE-206 Emissions allocation (dpeaa)DE-206 Evaluation scheme (dpeaa)DE-206 Finnish method (dpeaa)DE-206 Energy method (dpeaa)DE-206 Hannen, Conrad verfasserin (DE-588)1237703697 (DE-627)1764640241 aut Holzapfel, Peter verfasserin (DE-588)1311022570 (DE-627)1871053854 aut Finkbeiner, Matthias 1966- verfasserin (DE-588)120216574 (DE-627)696473895 (DE-576)292102399 aut Hesselbach, Jens 1959- verfasserin (DE-588)172136377 (DE-627)673173933 (DE-576)133008401 aut Enthalten in Renewable and sustainable energy transition Amsterdam : Elsevier, 2021 4(2023) vom: Aug., Artikel-ID 100069, Seite 1-11 Online-Ressource (DE-627)1777992419 (DE-600)3101381-8 2667-095X nnns volume:4 year:2023 month:08 elocationid:100069 pages:1-11 https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf Verlag kostenfrei https://doi.org/10.1016/j.rset.2023.100069 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 4 2023 8 100069 1-11 26 01 0206 4504070596 x1z 26-03-24 2403 01 DE-LFER 4511209847 00 --%%-- --%%-- n --%%-- l01 12-04-24 2403 01 DE-LFER https://doi.org/10.1016/j.rset.2023.100069 2403 01 DE-LFER https://www.sciencedirect.com/science/article/pii/S2667095X23000259/pdfft?md5=60486fe613d8525be71c850a37d657e1&pid=1-s2.0-S2667095X23000259-main.pdf |
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Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. 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a methodological guidance |
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allocation of carbon dioxide emissions to the by-products of combined heat and power plantsa methodological guidance |
| title_auth |
Allocation of carbon dioxide emissions to the by-products of combined heat and power plants a methodological guidance |
| abstract |
Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. |
| abstractGer |
Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. |
| abstract_unstemmed |
Cogeneration has higher efficiency than separate heat and power generation. Since both are generated in a single process, it is necessary to allocate the emissions to by-products for comparing their environmental performance. Numerous methods exist resulting in very different allocations. There is no consensus regarding the method choice. The main objective of this article is the development and implementation of an evaluation scheme allowing the choice of an appropriate method for specific applications. This scheme consists of nine criteria in the categories "Applicability", "Environmental relevance", and "Systematic approach" allowing a rating. The Finnish method performs best for a standard use case resulting in emission factors of 322 g CO2 / kWhel and 192 g CO2 / kWhth. Both are associated with less emissions per unit then the electricity and district heating mix of Germany in 2020 that were 375 g CO2 / kWhel and 270 g CO2 / kWhth. Therefore, cogeneration electricity and heat could contribute to climate protection in the short- to mid-term. The implementation of two sensitivity analyses shows that the location and country-specific emission factors can have a great influence on the results and the contribution to climate protection. Depending on use case and individual importance of certain criteria the Energy, the Exergy or the Greenhouse Gas method can be preferable. Each scored with one point less than the Finnish method. In contrast to existing publications, this study supports decision-makers in transparently selecting an appropriate allocation method when assessing the products of cogeneration by considering different criteria. |
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| title_short |
Allocation of carbon dioxide emissions to the by-products of combined heat and power plants |
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| score |
7.3996305 |