Modelling of residential heat decarbonisation pathways in the republic of Kazakhstan
| dc.contributor.author | Kerimray, Aiymgul | |
| dc.date.accessioned | 2018-08-07T09:26:43Z | |
| dc.date.available | 2018-08-07T09:26:43Z | |
| dc.date.issued | 2018-03 | |
| dc.description.abstract | Globally, buildings account for one third of final energy consumption and are a significant source of CO2 emissions. Concerns with unsustainable use of energy in buildings, growing greenhouse gases emissions and energy poverty challenges all require effective planning, strategies and actions from policy makers. Energy systems models together with scenario analysis are widely applied tools to aid decision making in energy planning and in the assessments of technology pathways. Studies and analyses using energy systems models tend to focus on energy transition pathways and neglect energy poverty, energy affordability and local pollution. In addition, they generally do not simultaneously incorporate spatial, building type and urban/rural detail. This thesis addresses this gap, by introducing the first sub-nationally disaggregated energy system model with regional detail, representation of the building types (detached, flat) urban/rural disaggregation, and analysis of energy poverty... | en_US |
| dc.identifier.citation | Kerimray, Aiymgul (2018) Modelling of residential heat decarbonisation pathways in the republic of Kazakhstan. Nazarbayev University School of Engineering. | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/3379 | |
| dc.language.iso | en | en_US |
| dc.publisher | Nazarbayev University School of Engineering and Digital Sciences | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | energy consumption | en_US |
| dc.subject | energy systems models | en_US |
| dc.subject | energy | en_US |
| dc.title | Modelling of residential heat decarbonisation pathways in the republic of Kazakhstan | en_US |
| dc.type | PhD thesis | en_US |
| workflow.import.source | science |