High resolution spatial distribution of greenhouse gas emissions in the residential sector

Danylo, O., Bun, R., See, . ORCID: https://orcid.org/0000-0002-2665-7065, & Charkovska, N. (2019). High resolution spatial distribution of greenhouse gas emissions in the residential sector.

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Abstract

The dataset contains a spatially-explicit greenhouse gas (GHG) emission estimation in the residential sector for Poland. As statistical data about fossil fuel consumption is only available at the regional, we assess energy demand for cooking, water and space heating for each settlement, which we use as a proxy to disaggregate regional fossil fuel consumption data. Energy demand for space heating depends heavily on climatic conditions, therefore we use the heating-degree day method to account for this phenomenon. We also take the availability of energy sources and differences in consumption patterns between urban and rural areas into account. Based on the disaggregated data, we assess GHG emissions at the settlement level using country and regional specific coefficients. Overall, the results show that the approach developed here is universal and can be applied to other countries using their statistical information.

Item Type: Data
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 03 Nov 2021 10:34
Last Modified: 03 Nov 2021 10:34
URI: https://pure.iiasa.ac.at/17577

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