Abstract
With rapid economic growth and increased urbanization, South Africa faces the problem of municipal solid waste (MSW) disposal and pressing the need for waste to energy recovery. Nowadays, renewable energy is the key consideration in the discussion of the sustainable worldwide energy system that reduces global climate change, human health problems, and environmental degradation. Sustainable development requires the sustainable supply of clean and affordable renewable energy. The renewable energy source such as bioenergy, solar energy, wind energy, hydropower, geothermal is usually viewed as sustainable energy sources that drive economic development. Wastes are convertible to useful energy through waste to energy (WtE) technologies. In this study, renewable energy technologies from the organic fraction of municipal solid waste (OFMSW) and their relation to sustainable development are discussed. Via the application of the simple multi-attribute rating (SMART) technique of multiple-criteria decision analysis (MCDA) and analytical hierarchy process (AHP) as a decision support tool, the most preferred model option for WtE technology was selected from a list of potential alternatives available in the market base on environmental, sociocultural, technical and economical consideration. From our investigation into the City of Johannesburg Landfill, the OFMSW had the highest fraction that comprises of 34% in portion. From MCDA-AHP results, anaerobic digestion was the most preferred technology of choice, taking into consideration environmental preservation as the ultimate goal.
| Original language | English |
|---|---|
| Title of host publication | WCECS 2016 - World Congress on Engineering and Computer Science 2016 |
| Editors | Warren S. Grundfest, Craig Douglas, S. I. Ao |
| Publisher | Newswood Limited |
| Pages | 1013-1017 |
| Number of pages | 5 |
| Volume | 2226 |
| ISBN (Electronic) | 9789881404824 |
| Publication status | Published - Jan 1 2016 |
| Event | 2016 World Congress on Engineering and Computer Science, WCECS 2016 - San Francisco, United States Duration: Oct 19 2016 → Oct 21 2016 |
Other
| Other | 2016 World Congress on Engineering and Computer Science, WCECS 2016 |
|---|---|
| Country | United States |
| City | San Francisco |
| Period | 10/19/16 → 10/21/16 |
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All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
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Waste to energy technologies from organics fraction of municipal solid waste. / Matheri, A. N.; Mbohwa, C.; Belaid, M.; Seodigeng, T.; Ngila, J. C.; Muzenda, E.
WCECS 2016 - World Congress on Engineering and Computer Science 2016. ed. / Warren S. Grundfest; Craig Douglas; S. I. Ao. Vol. 2226 Newswood Limited, 2016. p. 1013-1017.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Waste to energy technologies from organics fraction of municipal solid waste
AU - Matheri, A. N.
AU - Mbohwa, C.
AU - Belaid, M.
AU - Seodigeng, T.
AU - Ngila, J. C.
AU - Muzenda, E.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - With rapid economic growth and increased urbanization, South Africa faces the problem of municipal solid waste (MSW) disposal and pressing the need for waste to energy recovery. Nowadays, renewable energy is the key consideration in the discussion of the sustainable worldwide energy system that reduces global climate change, human health problems, and environmental degradation. Sustainable development requires the sustainable supply of clean and affordable renewable energy. The renewable energy source such as bioenergy, solar energy, wind energy, hydropower, geothermal is usually viewed as sustainable energy sources that drive economic development. Wastes are convertible to useful energy through waste to energy (WtE) technologies. In this study, renewable energy technologies from the organic fraction of municipal solid waste (OFMSW) and their relation to sustainable development are discussed. Via the application of the simple multi-attribute rating (SMART) technique of multiple-criteria decision analysis (MCDA) and analytical hierarchy process (AHP) as a decision support tool, the most preferred model option for WtE technology was selected from a list of potential alternatives available in the market base on environmental, sociocultural, technical and economical consideration. From our investigation into the City of Johannesburg Landfill, the OFMSW had the highest fraction that comprises of 34% in portion. From MCDA-AHP results, anaerobic digestion was the most preferred technology of choice, taking into consideration environmental preservation as the ultimate goal.
AB - With rapid economic growth and increased urbanization, South Africa faces the problem of municipal solid waste (MSW) disposal and pressing the need for waste to energy recovery. Nowadays, renewable energy is the key consideration in the discussion of the sustainable worldwide energy system that reduces global climate change, human health problems, and environmental degradation. Sustainable development requires the sustainable supply of clean and affordable renewable energy. The renewable energy source such as bioenergy, solar energy, wind energy, hydropower, geothermal is usually viewed as sustainable energy sources that drive economic development. Wastes are convertible to useful energy through waste to energy (WtE) technologies. In this study, renewable energy technologies from the organic fraction of municipal solid waste (OFMSW) and their relation to sustainable development are discussed. Via the application of the simple multi-attribute rating (SMART) technique of multiple-criteria decision analysis (MCDA) and analytical hierarchy process (AHP) as a decision support tool, the most preferred model option for WtE technology was selected from a list of potential alternatives available in the market base on environmental, sociocultural, technical and economical consideration. From our investigation into the City of Johannesburg Landfill, the OFMSW had the highest fraction that comprises of 34% in portion. From MCDA-AHP results, anaerobic digestion was the most preferred technology of choice, taking into consideration environmental preservation as the ultimate goal.
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M3 - Conference contribution
VL - 2226
SP - 1013
EP - 1017
BT - WCECS 2016 - World Congress on Engineering and Computer Science 2016
A2 - Grundfest, Warren S.
A2 - Douglas, Craig
A2 - Ao, S. I.
PB - Newswood Limited
ER -