An optimization-based negotiation framework for energy systems in an eco-industrial park

This work presents an optimization-based negotiation framework for plants in an eco-industrial park (EIP). The framework combines the principles of rational allocation of benefits with the consideration of stability and robustness of the coalition to changes in cost assumptions by analyzing its stab...

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Main Authors: Andiappan, Viknesh, Tan, Raymond Girard R., Ng, Denny K.S.
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3029
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-40282022-06-22T03:01:17Z An optimization-based negotiation framework for energy systems in an eco-industrial park Andiappan, Viknesh Tan, Raymond Girard R. Ng, Denny K.S. This work presents an optimization-based negotiation framework for plants in an eco-industrial park (EIP). The framework combines the principles of rational allocation of benefits with the consideration of stability and robustness of the coalition to changes in cost assumptions by analyzing its stability threshold. The stability threshold allows stakeholders to make informed managerial decisions concerning the current or future plant interactions in an EIP. The proposed framework is presented via a palm oil eco-industrial park (PEIP) case study consisting of a biomass tri-generation system (BTS), palm-based biorefinery (PBB) and palm oil mill (POM). The results of the case study indicate that the deserving annual cost savings allocation for BTS, PBB and POM are 38% (USD 2,100,000), 14% (USD 800,000) and 48% (USD 2,600,000) of the total annual cost savings respectively. Based on these allocations, the stability analysis determined that the PEIP coalition will stable as long as the symbiosis costs of BTS, PBB and POM fall within 37-46%, 10-30% and 20-25% of their respective raw material costs. Otherwise, the stability of the PEIP coalition is compromised and further action can be taken as stipulated in the proposed framework. © 2016 Elsevier Ltd. All rights reserved. 2016-08-15T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3029 Faculty Research Work Animo Repository Industrial districts Industrial ecology Cooperative games (Mathematics) Chemical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Industrial districts
Industrial ecology
Cooperative games (Mathematics)
Chemical Engineering
spellingShingle Industrial districts
Industrial ecology
Cooperative games (Mathematics)
Chemical Engineering
Andiappan, Viknesh
Tan, Raymond Girard R.
Ng, Denny K.S.
An optimization-based negotiation framework for energy systems in an eco-industrial park
description This work presents an optimization-based negotiation framework for plants in an eco-industrial park (EIP). The framework combines the principles of rational allocation of benefits with the consideration of stability and robustness of the coalition to changes in cost assumptions by analyzing its stability threshold. The stability threshold allows stakeholders to make informed managerial decisions concerning the current or future plant interactions in an EIP. The proposed framework is presented via a palm oil eco-industrial park (PEIP) case study consisting of a biomass tri-generation system (BTS), palm-based biorefinery (PBB) and palm oil mill (POM). The results of the case study indicate that the deserving annual cost savings allocation for BTS, PBB and POM are 38% (USD 2,100,000), 14% (USD 800,000) and 48% (USD 2,600,000) of the total annual cost savings respectively. Based on these allocations, the stability analysis determined that the PEIP coalition will stable as long as the symbiosis costs of BTS, PBB and POM fall within 37-46%, 10-30% and 20-25% of their respective raw material costs. Otherwise, the stability of the PEIP coalition is compromised and further action can be taken as stipulated in the proposed framework. © 2016 Elsevier Ltd. All rights reserved.
format text
author Andiappan, Viknesh
Tan, Raymond Girard R.
Ng, Denny K.S.
author_facet Andiappan, Viknesh
Tan, Raymond Girard R.
Ng, Denny K.S.
author_sort Andiappan, Viknesh
title An optimization-based negotiation framework for energy systems in an eco-industrial park
title_short An optimization-based negotiation framework for energy systems in an eco-industrial park
title_full An optimization-based negotiation framework for energy systems in an eco-industrial park
title_fullStr An optimization-based negotiation framework for energy systems in an eco-industrial park
title_full_unstemmed An optimization-based negotiation framework for energy systems in an eco-industrial park
title_sort optimization-based negotiation framework for energy systems in an eco-industrial park
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/3029
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