| Literature DB >> 32952252 |
Ana Ramos1, Abel Rouboa2,3.
Abstract
In this study, municipal solid waste (MSW) composition in distinct world locations is compared and a case study is assessed. Three waste-to-energy (WtE) techniques are employed within the framework of an industrial partnership. Life cycle assessment (LCA) and a brief social contextualization including the production of renewable energy from the waste generated worldwide were held to attain a holistic view and attract the interest of multiple stakeholders. Incineration depicted a sustainable profile with improved results for global warming potential and terrestrial ecotoxicity potential. Regular gasification revealed the best results for eutrophication, acidification, marine aquatic ecotoxicity and human toxicity potential. Two-stage plasma gasification showed negative values for all impact categories i.e. achieving environmental credits. The estimate of the electricity produced from the waste generated per capita showed a fair coverage of the electrical demand in distinct world areas. To the best of the authors' knowledge, there are no reports connecting the electricity use, the waste production and the renewable energy achieved from WtE for different world regions. Therefore, this study supports the replacement of fossil fuels with renewable alternatives, reducing greenhouse gas emissions while maintaining the comfort and commodities suitable for a comfortable quality of life.Entities:
Keywords: Life cycle assessment; Renewable energy; Social wellbeing; Sustainability; Waste-to-energy
Year: 2020 PMID: 32952252 PMCID: PMC7490254 DOI: 10.1016/j.eiar.2020.106469
Source DB: PubMed Journal: Environ Impact Assess Rev ISSN: 0195-9255
Municipal solid waste composition in selected global locations.
| Country | Location | Waste composition (weight %) | Ref. | Year | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Organic | Paper | Plastics | Metal | Glass | Textiles | Wood | Others | |||||
| Greece | Attica | 43.5 | 29.3 | 3.4 | 13.0 | 3.3 | 4.2 | – | 3.3 | ( | 2015 | |
| – | 48 | 20 | 8 | 4 | 5 | – | – | 15 | ( | 2018 | ||
| Germany | – | 30 | 24 | 13 | 1 | 10 | 4 | – | 18 | |||
| Italy | – | 31 | 24 | 11 | 4 | 8 | 5.5 | – | 16.5 | |||
| Singapore | – | 44.4 | 28.3 | 11.8 | 4.8 | 4.1 | – | – | 12 | |||
| Iraq | – | 55 | 7 | 25.2 | 3 | 2.9 | 4.5 | – | 2.4 | |||
| Tunisia | – | 68 | 9 | 11 | 4 | 2 | – | – | 6 | |||
| Turkey | Ankara | 55 | 0.57 | 4 | 0.51 | 0.55 | – | – | 39.37 | |||
| Bursa | 43 | 7 | 19 | 1 | 4 | – | – | 26 | ||||
| Eskisehir | 56.4 | 8.9 | 12 | 1.5 | 9.97 | – | 3.33 | 7.9 | ||||
| Erzurum | 44.45 | 14.81 | 11.48 | 2.6 | 3.7 | – | – | 22.96 | ||||
| Gaziantep | 69 | 5.44 | 15.74 | 0.79 | 2.02 | – | 7.01 | – | ||||
| Sanliurfa | 65 | 6 | 8 | 1 | 2 | 2 | 2 | 14 | ||||
| Tekirdag | 34 | 16 | 2 | 1 | 6 | – | – | 41 | ||||
| Izmir | 46 | 12 | 12 | 3 | 4 | – | – | 23 | ||||
| 52 | 3.8 | 10 | 3.1 | 2.9 | – | – | 28.2 | |||||
| India | – | 35 | 3 | 2 | – | 1 | – | – | 59 | |||
| – | 51 | 7 | 10 | – | – | – | – | 32 | ( | 2018 | ||
| Mavallipura | – | 22 | 35 | 17 | --- | – | 10 | ( | 2018 | |||
| Kharagpur | 80.0 | 7.70 | 8.60 | 0.00 | 0.50 | 3.0 | – | 0.02 | ( | 2009 | ||
| Bangalore | 84 | 12 | – | 1 | 1 | – | – | 2 | ( | 2018 | ||
| Republic of Haitian | Cape Haitian | 65.6 | 9.0 | 9.2 | 2.6 | 5.8 | – | – | 7.9 | |||
| Bangladesh | Chittagong | 62 | 3 | 2 | – | 5 | 1 | 3 | – | |||
| China | Beijing | 69.3 | 10.3 | 9.8 | 0.8 | 0.6 | 1.3 | 2.7 | – | |||
| Beijing | 51.83 | 5.43 | 10.37 | – | 2.97 | 5.75 | 23.65 | ( | 2009 | |||
| Shanghai | 56.09 | 4.58 | 8.59 | 2.29 | 11.60 | 10.55 | ||||||
| Guangzhou | 60.97 | 6.39 | 17.54 | 4.31 | 2.43 | 8.36 | ||||||
| Hangzhou | 58.19 | 3.68 | 7.63 | 2.23 | 1.20 | 27.07 | ||||||
| Guiyang | 41.97 | 7.96 | 7.46 | 1.21 | 0.45 | 40.95 | ||||||
| Kunming | 61.67 | --- | 9.43 | 1.06 | 11.43 | 16.41 | ||||||
| Wuhu | 67.60 | --- | 5.30 | 0.60 | 4.00 | 22.50 | ||||||
| Xi’an | 15.74 | 3.35 | 7.93 | 2.48 | 3.94 | 66.56 | ||||||
| Wuhan | 42.37 | 16.71 | 9.57 | – | – | 19.95 | 11.4 | – | ( | 2012 | ||
| – | 58.8 | 8.5 | 12 | 4.6 | 5 | 3.2 | – | 7.9 | ( | 2011 | ||
| Iran | Tehran | 57 | 7.8 | 7.5 | 0.6 | 3.2 | 16.2 | 7.7 | – | ( | 2015 | |
| – | 72.59 | 9.46 | 5.01 | 2.57 | 1.86 | 1.7 | – | 6.81 | ( | 2018 | ||
| Romania | Bucharest | 55.30 | 13.87 | 8.20 | 4.86 | 6.84 | – | 2.02 | 8.91 | ( | 2015 | |
| Portugal | Porto | 37.57 | 10.47 | 12.10 | 2.45 | 5.53 | 16.46 | – | 15.42 | ( | 2018 | |
| Lisbon | 36.69 | 9.23 | 12.61 | 2.92 | 5.50 | 17.81 | – | 15.24 | ( | 2014 | ||
| United Kingdom | London | 35.3 | 22.7 | 10 | 4.3 | 6.6 | 2.8 | 3.7 | 14.6 | ( | 2015 | |
| 34 | 23 | 10 | 4 | 6 | – | – | 23 | ( | 2015 | |||
| – | 38 | 18 | 7 | 8 | 7 | 3 | – | 19 | ( | 2018 | ||
| Malta | – | 50.5 | 17.9 | 11.4 | 4.3 | 6.4 | 2.8 | – | 6.7 | ( | 2013 | |
| USA | – | 28 | 27.4 | 12.7 | 8.9 | 4.6 | – | 6.3 | 12.1 | ( | 2019 | |
| – | 28.2 | 26.5 | 12.9 | 9 | 4.4 | 9.5 | – | 9.5 | ( | 2018 | ||
| – | 29 | 38 | 9 | 14 | – | – | 10 | ( | 2001 | |||
| Norway | – | 18 | 31 | 7 | 8 | – | – | 36 | ||||
| Poland | – | 38 | 14 | 2 | 9 | – | – | 37 | ||||
| Israel | – | 3.7 | 50.0 | 10.0 | – | 4.0 | 5.5 | 14.0 | 22.8 | ( | 2012 | |
| Spain | Asturias | 38.1 | 20.6 | 10.8 | 3.6 | 5.6 | 10.9 | – | 10.5 | ( | 2014 | |
| Gipuzkoa | 45 | 24 | 15 | 5 | 11 | – | – | – | ( | 2015 | ||
| Oman | Muscat | 33.6 | 25.2 | 17.40 | 2.80 | 8.00 | 5.20 | 1.60 | 6.20 | ( | 2014 | |
| Malaysia | – | 46.94 | 17.89 | 20.28 | 4.31 | 2.60 | – | – | 7.98 | ( | 2013 | |
| Saudi Arabia | – | 37 | 29 | 5 | – | 5 | 6 | 8 | 10 | ( | 2016 | |
| Taiwan | Taipei | 24 | 43.2 | 22.5 | 1.03 | 2.77 | – | 6.5 | ( | 2018 | ||
| New Taipei | 35.3 | 42.2 | 16.9 | 0.49 | 1.50 | 3.61 | ||||||
| Taoyuan | 36.8 | 41 | 16.5 | 0.62 | 2.03 | 3.05 | ||||||
| Yilan | 37.3 | 41.9 | 16.5 | 0.37 | 0.72 | 3.21 | ||||||
| Keelung | 40 | 40.8 | 15 | 0.29 | 0.88 | 3.03 | ||||||
| Hsinchu | 34.7 | 44.2 | 16.6 | 0.62 | 1.14 | 2.74 | ||||||
| Brazil | São Paulo | 38.79 | 11.2 | 14.77 | – | – | 8.94 | – | 10.80 | ( | 2019 | |
| Pakistan | Labore | 56.32 | 2.18 | 6.8 | 0.06 | 0.69 | 20.13 | 6.05 | 7.77 | ( | 2019 | |
| Nigeria | Ilorin | Dry season | 9.02 | 6.83 | 32.79 | 4.22 | 3.56 | 10.93 | 0.69 | 11.99 | ( | 2020 |
| Wet season | 19.14 | 5.46 | 28.72 | 5.06 | 2.02 | 7.42 | 0.89 | 6.36 | ||||
Fig. 1World's energy data: left) total primary energy supply and electricity generation; right) average annual growth on energy generating capacity from MSW. (Other includes geothermal, solar, wind, heat, biofuels and waste).
Fig. 2Final energy consumption by end-use.
Fig. 3System limits considered in this study for: top) incineration and regular gasification; bottom) two-stage plasma gasification.
Characterization of the MSW used in this assessment.
| Waste type | Weight % |
|---|---|
| Organic | 37.57 |
| Paper | 10.47 |
| Plastics | 12.10 |
| Metals | 2.45 |
| Glass | 5.53 |
| Textiles | 16.46 |
| Others | 15.42 |
Environmental impacts for the MSW thermal conversion, per functional unit.
| Impact categories | Environmental quantities | ||
|---|---|---|---|
| Incineration | Regular gasification | Plasma gasification | |
| GWP (kg CO2 eq.) | −170.9 | 27 | −31 |
| EP (kg PO43− eq.) | −38.6 × 10−3 | −2.32 × 103 | −1.55 × 103 |
| AP (kg SO2 eq.) | −24.2 × 10−2 | −39.9 × 10−2 | −39.7 × 10−2 |
| ODP (kg R11 eq.) | −1.16 × 10−10 | 2.08 × 10−8 | −2.13 × 10−8 |
| ADPelements (kg Sb eq.) | −50.1 × 10−6 | −9.35 × 10−6 | −1.62 × 10−5 |
| ADPfossil (MJ) | −2.00 × 103 | 240 | −382 |
| FAETP (kg DCB eq.) | −26.7 × 10−2 | 1.86 × 10−3 | −6.41 × 10−2 |
| MAETP (kg DCB eq.) | −26.3 × 103 | −3.12 × 105 | −2.14 × 105 |
| TETP (kg DCB eq.) | −59 × 10−3 | 1.45 × 10−2 | −2.95 × 10−2 |
| HTP (kg DCB eq.) | −7.45 | −21.8 | −14.7 |
| POCP (kg C2H4 eq.) | −4.29 × 10−2 | −2.33 × 10−2 | −2.23 × 10−2 |
Fig. 4Comparison of the environmental results for the WtE techniques, per functional unit.
Fig. 5Environmental overall performance comparison of the WtE techniques, per tonne of MSW.
Electricity generation by each WtE, from the MSW produced per capita.
| Region | Average waste generation (kg/capita/day) | Average electric power consumption (kWh/capita/day) | % of electricity consumption covered by the production from MSW | ||
|---|---|---|---|---|---|
| Incineration | Regular Gasification | Plasma Gasification | |||
| AFR | 0.65 | 1.323 | 23.28 | 40.93 | 41.23 |
| EAP | 0.95 | 10.07 | 4.47 | 7.86 | 7.92 |
| ECA | 1.1 | 14.72 | 3.54 | 6.23 | 6.27 |
| LCR | 1.1 | 5.833 | 8.94 | 15.72 | 15.83 |
| MENA | 1.1 | 7.877 | 6.62 | 11.64 | 11.72 |
| OECD | 2.2 | 21.88 | 4.77 | 8.38 | 8.44 |
| SAR | 0.45 | 1.937 | 11.01 | 19.36 | 19.50 |
| World | 1.2 | 8.567 | 6.64 | 11.67 | 11.76 |
AFR – sub-saharan africa; EAP – east asia and pacific; ECA – europe and central asia; LCR – latin america & the caribbean; MENA – middle east and north africa; OECD – organization for economic co-operation and development; SAR – south asia.
(Hoornweg and Bhada-Tata, 2012).
Calculated based on (Bank, T.W, 2018).
Fig. 6Electricity use relative to the waste generated worldwide.
AFR – sub-saharan africa; EAP – east asia and pacific; ECA – europe and central asia; LCR – latin america & the caribbean; MENA – middle east and north africa; OECD – organization for economic co-operation and development; SAR – south asia.
LCC main outputs for the WtE techniques assessed in this study.
| Costs and revenues | Incineration | Regular gasification | Plasma gasification | |||
|---|---|---|---|---|---|---|
| €/tMSW | % | €/tMSW | % | €/tMSW | % | |
| Staff | 2.30 | 3.3 | 2.30 | 1.7 | 2.30 | 3.9 |
| Energy | 7.35 | 10.5 | 5.84 | 4.2 | 7.79 | 13.3 |
| Operation & Maintenance | 19.69 | 28.1 | 125.50 | 90.0 | 43.18 | 73.7 |
| Waste management | 40.65 | 58.1 | 5.78 | 4.1 | 5.35 | 9.1 |
| 100 | 100 | 100 | ||||
| Revenues | 87.77 | – | 122.50 | – | 127.89 | – |
lines in bold present the main value the readers will be looking for when observing this table (total costs and net results for each technique)