A model to decentralise the procurement of forest fuels using terminals is considered for sustainable energy production. Problems include the scheduling of a number of procurement chains to an energy plant during different periods. In Finland roadside terminals are commonly used for forest fuel inventories in the procurement chains of energy plants. However, due to the complex nature of the decentralised procurement problems, the use of roadside terminals has recently been considered as an inefficient supply chain. Therefore, a terminal model was developed and tested using district and plant terminal technologies changing forest fuel buffer decisions to better describe the combinatorial complexity of energy flows. The examples achieved global optimality as a result of adding the terminal technologies to the model. The resulting objective function value (total operating costs of the procurement schedule) decreased by 18.3% from 7.1 to 5.8 million (sic). The properties of the model are discussed and five examples are presented of how the model works based on real-world data. Examples analyse the sensitivity of the model to buffer constraints based on different district and plant terminal technology rates (100, 300, 500 and 1000%). (C) 2012 IAgrE. Published by Elsevier Ltd. All rights reserved.
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Link Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, ItalyLink Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, Italy
Marseglia, Guido
Medaglia, Carlo Maria
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Link Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, ItalyLink Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, Italy
Medaglia, Carlo Maria
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Petrozzi, Alessandro
Nicolini, Andrea
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Univ Perugia, CIRIAF, Via G Duranti 67, I-06125 Perugia, Italy
Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, ItalyLink Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, Italy
Nicolini, Andrea
Cotana, Franco
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Univ Perugia, CIRIAF, Via G Duranti 67, I-06125 Perugia, Italy
Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, ItalyLink Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, Italy
Cotana, Franco
Sormani, Federico
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Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, ItalyLink Campus Univ Rome, Via Casale San Pio V 44, I-00165 Rome, Italy
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Korea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro,Jung Gu, Ulsan 44543, South KoreaKorea Energy Econ Inst, Dist Heating & Power Res Team, 405-11 Jongga Ro,Jung Gu, Ulsan 44543, South Korea