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Bottom-up and top-down heat demand mapping methods for small municipalities, case Gllogoc

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  • Meha, Drilon
  • Novosel, Tomislav
  • Duić, Neven

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.

Suggested Citation

  • Meha, Drilon & Novosel, Tomislav & Duić, Neven, 2020. "Bottom-up and top-down heat demand mapping methods for small municipalities, case Gllogoc," Energy, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:energy:v:199:y:2020:i:c:s0360544220305363
    DOI: 10.1016/j.energy.2020.117429
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    3. Besagni, Giorgio & Premoli Vilà, Lidia & Borgarello, Marco & Trabucchi, Andrea & Merlo, Marco & Rodeschini, Jacopo & Finazzi, Francesco, 2021. "Electrification pathways of the Italian residential sector under socio-demographic constrains: Looking towards 2040," Energy, Elsevier, vol. 217(C).
    4. Guzović, Zvonimir & Duic, Neven & Piacentino, Antonio & Markovska, Natasa & Mathiesen, Brian Vad & Lund, Henrik, 2022. "Recent advances in methods, policies and technologies at sustainable energy systems development," Energy, Elsevier, vol. 245(C).
    5. Meha, Drilon & Pfeifer, Antun & Sahiti, Naser & Rolph Schneider, Daniel & Duić, Neven, 2021. "Sustainable transition pathways with high penetration of variable renewable energy in the coal-based energy systems," Applied Energy, Elsevier, vol. 304(C).
    6. Meha, Drilon & Pfeifer, Antun & Duić, Neven & Lund, Henrik, 2020. "Increasing the integration of variable renewable energy in coal-based energy system using power to heat technologies: The case of Kosovo," Energy, Elsevier, vol. 212(C).
    7. Robert Bedoić & Goran Smoljanić & Tomislav Pukšec & Lidija Čuček & Davor Ljubas & Neven Duić, 2021. "Geospatial Analysis and Environmental Impact Assessment of a Holistic and Interdisciplinary Approach to the Biogas Sector," Energies, MDPI, vol. 14(17), pages 1-20, August.
    8. Seul-Ye Lim & Jeoung-Sik Min & Seung-Hoon Yoo, 2021. "Price and Income Elasticities of Residential Heat Demand from District Heating System: A Price Sensitivity Measurement Experiment in South Korea," Sustainability, MDPI, vol. 13(13), pages 1-10, June.
    9. Meha, Drilon & Dragusha, Bedri & Thakur, Jagruti & Novosel, Tomislav & Duić, Neven, 2021. "A novel spatial based approach for estimation of space heating demand saving potential and CO2 emissions reduction in urban areas," Energy, Elsevier, vol. 225(C).
    10. Besagni, Giorgio & Borgarello, Marco & Premoli Vilà, Lidia & Najafi, Behzad & Rinaldi, Fabio, 2020. "MOIRAE – bottom-up MOdel to compute the energy consumption of the Italian REsidential sector: Model design, validation and evaluation of electrification pathways," Energy, Elsevier, vol. 211(C).

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