 Bottom-up and top-down heat demand mapping methods for small municipalities, case GllogocDrilon Meha, Tomislav Novosel and Neven Duić Energy, 2020, vol. 199, issue C Abstract: The identification and spatial distribution of heat demand for space heating is of high importance for the planning and design of district heating systems because around 70–80% of total final energy consumption by the household sector is consumed for space heating purposes. The aim of this research is the quantification and validation of heat demand distribution within a small municipality using a newly developed Bottom-up and Top-down heat mapping method. The Bottom-up mapping method is based on building features such as surface floor area, building height, building use and the share of the heated area while the top-down mapping method relies on energy balances and population distribution densities. These mapping methods are based on a GIS analysis of heat demand with high spatial resolution grids 100 m × 100 m. Two bottom-up scenarios have been created, one of which overestimate and the other which satisfy the actual heat demands of the buildings and the results of both are compared with the top-down analysis to quantify the impact of the assumptions and input data on the final result. Keywords: Heat demand; Heat mapping; Bottom-up; Top-down; GIS; Partially heated areas (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:199:y:2020:i:c:s0360544220305363 DOI: 10.1016/j.energy.2020.117429 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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