000120240 001__ 120240
000120240 005__ 20240319081026.0
000120240 0247_ $$2doi$$a10.3390/su142013634
000120240 0248_ $$2sideral$$a131169
000120240 037__ $$aART-2022-131169
000120240 041__ $$aeng
000120240 100__ $$aRivera-Niquepa, Juan David
000120240 245__ $$aDecomposition Analysis of the Aggregate Carbon Intensity (ACI) of the Power Sector in Colombia—A Multi-Temporal Analysis
000120240 260__ $$c2022
000120240 5060_ $$aAccess copy available to the general public$$fUnrestricted
000120240 5203_ $$aThis paper presents the application of the Logarithmic Mean Divisia Index Decomposition Analysis (LMDI) to the aggregate carbon intensity (ACI) of the power sector in Colombia in the period 1990–2020, with the aim of identifying the main drivers influencing the ACI change. The analysis performed identifies the main drivers among: carbon intensity, generation efficiency, and contribution of fossil generation at the specific and total level of electricity production. The analysis is performed at the aggregate and disaggregated level of fossil fuels. Due to the highly variable behavior of the ACI, a multi-temporal decomposition is performed in the eight presidential administrations in the period of analysis. For each period, the main drivers are identified and the energy policy implications and their effects on the operation and management of the power sector are analyzed. The results show that the main driver is the fossil share of total energy production. Important effects on thermal generation efficiency and fossil energy mix were also identified in some analysis periods. The need for effective long-term policies and regulation in relation to the factors influencing the ACI was identified. It is recommended to accelerate the diversification of the energy mix of the power sector and the permanent monitoring of the behavior of the drivers.
000120240 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000120240 590__ $$a3.9$$b2022
000120240 592__ $$a0.664$$b2022
000120240 591__ $$aENVIRONMENTAL SCIENCES$$b114 / 275 = 0.415$$c2022$$dQ2$$eT2
000120240 591__ $$aENVIRONMENTAL STUDIES$$b48 / 128 = 0.375$$c2022$$dQ2$$eT2
000120240 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b34 / 46 = 0.739$$c2022$$dQ3$$eT3
000120240 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b5 / 9 = 0.556$$c2022$$dQ3$$eT2
000120240 593__ $$aGeography, Planning and Development$$c2022$$dQ1
000120240 593__ $$aEnergy Engineering and Power Technology$$c2022$$dQ2
000120240 593__ $$aEnvironmental Science (miscellaneous)$$c2022$$dQ2
000120240 593__ $$aRenewable Energy, Sustainability and the Environment$$c2022$$dQ2
000120240 593__ $$aHardware and Architecture$$c2022$$dQ2
000120240 593__ $$aManagement, Monitoring, Policy and Law$$c2022$$dQ2
000120240 593__ $$aComputer Networks and Communications$$c2022$$dQ2
000120240 594__ $$a5.8$$b2022
000120240 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000120240 700__ $$aRojas-Lozano, Daniela
000120240 700__ $$aDe Oliveira-De Jesus, Paulo M.
000120240 700__ $$0(orcid)0000-0003-3174-9703$$aYusta, Jose M.$$uUniversidad de Zaragoza
000120240 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000120240 773__ $$g14, 20 (2022), 13634 [18 pp.]$$pSustainability (Basel)$$tSustainability (Switzerland)$$x2071-1050
000120240 8564_ $$s1807944$$uhttps://zaguan.unizar.es/record/120240/files/texto_completo.pdf$$yVersión publicada
000120240 8564_ $$s2757469$$uhttps://zaguan.unizar.es/record/120240/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000120240 909CO $$ooai:zaguan.unizar.es:120240$$particulos$$pdriver
000120240 951__ $$a2024-03-18-16:42:41
000120240 980__ $$aARTICLE