A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study
A framework for an energy supply decision support system (DSS) for sustainable plant design and production ispresented in this paper, utilising an innovative use of multi-objective and multi-attribute decision-making(MODM, MADM) modelling together with impact assessment (IA) of the emission outputs....
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| Format: | Journal Article |
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Elsevier
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/14798 |
| _version_ | 1848748719405531136 |
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| author | Mattiussi, A. Rosano, Michele Simeoni, P. |
| author_facet | Mattiussi, A. Rosano, Michele Simeoni, P. |
| author_sort | Mattiussi, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A framework for an energy supply decision support system (DSS) for sustainable plant design and production ispresented in this paper, utilising an innovative use of multi-objective and multi-attribute decision-making(MODM, MADM) modelling together with impact assessment (IA) of the emission outputs. The mathematicalmodel has been appliedwithin an eco-industrial park (EIP) setting and includes three steps. First, an assessmentof the total EIP emissions' inventory and impacts is conducted; the second step, focusing on the sustainabilitybenefits of combined heating and power (CHP) plants and photovoltaic technologies, developed a multiobjectivemathematical model including both economic and environmental objectives in a Pareto-frontieroptimisation analysis. Four different scenarios involving combinations of CHP plants (internal combustion engine,gas turbine, micro-turbines and fuel cells) and two types of PV plant (monocrystalline and polycrystalline)were evaluated. The third step utilises a MADM methodology – the analytic hierarchy process (AHP) – forselecting the best alternative among the Pareto-frontier efficient solutions. This model has been applied to acase study of an EIP located in Perth (Kwinana Industrial Area—KIA),Western Australia. |
| first_indexed | 2025-11-14T07:09:31Z |
| format | Journal Article |
| id | curtin-20.500.11937-14798 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:09:31Z |
| publishDate | 2014 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-147982017-09-13T15:03:20Z A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study Mattiussi, A. Rosano, Michele Simeoni, P. MCDA CHP AHP Eco-industrial park A framework for an energy supply decision support system (DSS) for sustainable plant design and production ispresented in this paper, utilising an innovative use of multi-objective and multi-attribute decision-making(MODM, MADM) modelling together with impact assessment (IA) of the emission outputs. The mathematicalmodel has been appliedwithin an eco-industrial park (EIP) setting and includes three steps. First, an assessmentof the total EIP emissions' inventory and impacts is conducted; the second step, focusing on the sustainabilitybenefits of combined heating and power (CHP) plants and photovoltaic technologies, developed a multiobjectivemathematical model including both economic and environmental objectives in a Pareto-frontieroptimisation analysis. Four different scenarios involving combinations of CHP plants (internal combustion engine,gas turbine, micro-turbines and fuel cells) and two types of PV plant (monocrystalline and polycrystalline)were evaluated. The third step utilises a MADM methodology – the analytic hierarchy process (AHP) – forselecting the best alternative among the Pareto-frontier efficient solutions. This model has been applied to acase study of an EIP located in Perth (Kwinana Industrial Area—KIA),Western Australia. 2014 Journal Article http://hdl.handle.net/20.500.11937/14798 10.1016/j.dss.2013.08.013 Elsevier restricted |
| spellingShingle | MCDA CHP AHP Eco-industrial park Mattiussi, A. Rosano, Michele Simeoni, P. A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study |
| title | A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study |
| title_full | A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study |
| title_fullStr | A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study |
| title_full_unstemmed | A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study |
| title_short | A decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: An Australian case study |
| title_sort | decision support system for sustainable energy supply combining multi-objective and multi-attribute analysis: an australian case study |
| topic | MCDA CHP AHP Eco-industrial park |
| url | http://hdl.handle.net/20.500.11937/14798 |