City carbon footprint evaluation and forecasting case study: Dan Sai municipality
Copyright © 2018, AIDIC Servizi S.r.l. In this research, City Carbon Footprint (CCF) of Dan Sai municipality was evaluated according to the Global Protocol for Community-scale Greenhouse Gas Emission Inventories (GPC) guideline. Related activity data in 2015 were collected and analyzed which present...
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| Main Authors: | , , |
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| Format: | Journal |
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2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047297201&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58419 |
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| Institution: | Chiang Mai University |
| Summary: | Copyright © 2018, AIDIC Servizi S.r.l. In this research, City Carbon Footprint (CCF) of Dan Sai municipality was evaluated according to the Global Protocol for Community-scale Greenhouse Gas Emission Inventories (GPC) guideline. Related activity data in 2015 were collected and analyzed which presented into 3 scopes (Scope1, 2, 3). As the results, the total CCF of Dan Sai Municipality is 8,528.04 tCO2eq which contributed from scope 1, scope 2 and scope 3 of 5,524 tCO2eq, 2,164 tCO2eq, 1,140 tCO2eq, respectively. Fossil fuel combustion from industrial sub-sector in scope 1 showed the greatest contribution of 40% of the total, followed by electricity consumption in scope 2, solid waste treatment in scope 1 accounting for 25% and 13%, respectively. The data of CCF in 2015 was used as baseline (Business as Usual: BAU) in order to predict city emissions in 2030 using mathematical forecasting model. The result indicated that CCF of Dan Sai can be reach up to 11,662.39 t CO2eq (27%). Consequently, applying mitigation options to reduce the emission for Dan Sai has been proposed. It was found that implementation of reduction projects including installation of solar rooftop, composting organic waste, producing RDF from waste and convert waste to energy by using RDF hybrid ORC could reduce CCF accounting for 20%, 0.53%, 1% and 3%, respectively. This study can provide benefits and offer better solutions for maximizing the potential of low carbon city and minimizing the climate change problem issues for municipality in the near future. |
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