An efficient algorithm for bi-objective combined heat and power production planning under the emission trading scheme
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Rong, Aiying | |
dc.contributor.author | Figueira, José Rui | fi |
dc.contributor.author | Lahdelma, Risto | fi |
dc.contributor.department | Department of Energy Technology | en |
dc.contributor.department | Energiatekniikan laitos | fi |
dc.contributor.lab | Energy Efficiency and Systems | en |
dc.contributor.school | Insinööritieteiden korkeakoulu | fi |
dc.contributor.school | School of Engineering | en |
dc.date.accessioned | 2015-01-28T09:20:53Z | |
dc.date.available | 2015-01-28T09:20:53Z | |
dc.date.issued | 2014 | |
dc.description.abstract | The growing environmental awareness and the apparent conflicts between economic and environmental objectives turn energy planning problems naturally into multi-objective optimization problems. In the current study, mixed fuel combustion is considered as an option to achieve tradeoff between economic objective (associated with fuel cost) and emission objective (measured in CO2 emission cost according to fuels and emission allowance price) because a fuel with higher emissions is usually cheaper than one with lower emissions. Combined heat and power (CHP) production is an important high-efficiency technology to promote under the emission trading scheme. In CHP production, the production planning of both commodities must be done in coordination. A long-term planning problem decomposes into thousands of hourly subproblems. In this paper, a bi-objective multi-period linear programming CHP planning model is presented first. Then, an efficient specialized merging algorithm for constructing the exact Pareto frontier (PF) of the problem is presented. The algorithm is theoretically and empirically compared against a modified dichotomic search algorithm. The efficiency and effectiveness of the algorithm is justified. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 9 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Rong, Aiying & Figueira, José Rui & Lahdelma, Risto. 2014. An efficient algorithm for bi-objective combined heat and power production planning under the emission trading scheme. Energy Conversion and Management. P. 9. 10.1016/j.enconman.2014.08.049. | en |
dc.identifier.doi | 10.1016/j.enconman.2014.08.049 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/15029 | |
dc.identifier.urn | URN:NBN:fi:aalto-201501281755 | |
dc.language.iso | en | en |
dc.publisher | Elsevier | |
dc.relation.ispartofseries | Energy Conversion and Management | en |
dc.relation.ispartofseries | 88 | |
dc.rights | Elseviers AAM Policy: Authors retain the right to use the accepted author manuscript for personal use, internal institutional use and for permitted scholarly posting provided that these are not for purposes of commercial use or systematic distribution | en |
dc.rights.holder | Elsevier | |
dc.subject.keyword | Combined heat and power production | en |
dc.subject.keyword | Multi-objective linear programming | en |
dc.subject.keyword | Energy optimization | en |
dc.subject.keyword | Energy efficiency, Environmental/economic dispatch. | en |
dc.subject.other | Computer science | en |
dc.subject.other | Economics | en |
dc.subject.other | Energy | en |
dc.subject.other | Environmental science | en |
dc.title | An efficient algorithm for bi-objective combined heat and power production planning under the emission trading scheme | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |
dc.type.dcmitype | text | en |
dc.type.version | Pre print | en |
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