Optimal synthesis of trigeneration systems subject to environmental constraints

Environmental information obtained through Life Cycle Analysis techniques has been incorporated into a Mixed Integer Linear Programming (MILP). The solution of the model provides the optimal configuration and operation of an energy supply system to be installed, minimizing the environmental burden a...

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Veröffentlicht in:Energy (Oxford) Jg. 36; H. 6; S. 3779 - 3790
Hauptverfasser: Carvalho, Monica, Serra, Luis Maria, Lozano, Miguel Angel
Format: Journal Article Tagungsbericht
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.06.2011
Elsevier
Schlagworte:
Applied sciences
carbon dioxide
CO 2 emissions
Cogeneration
Demand
Eco-indicator 99
Electricity
Energy
energy costs
Exact sciences and technology
gas emissions
hospitals
Life cycle assessment
Life cycle assessment (LCA)
Life cycle engineering
linear programming
Mathematical models
Mixed integer linear programming (MILP)
Natural gas
Optimization
Physics
prices
Spain
Trigeneration
Spain
Spain, Aragon, Zaragoza
Mixed integer linear programming (MILP)
Eco-indicator 99
Life cycle assessment (LCA)
CO 2 emissions
Trigeneration
Optimization
CO emissions
Mixed Integer Linear Programming (MILP)
Life Cycle Assessment (LCA)
ISSN:0360-5442, 1873-6785
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Zusammenfassung:Environmental information obtained through Life Cycle Analysis techniques has been incorporated into a Mixed Integer Linear Programming (MILP). The solution of the model provides the optimal configuration and operation of an energy supply system to be installed, minimizing the environmental burden associated with production of equipment and consumption of resources. Starting from a superstructure of cogeneration system with additional components highly interconnected, the energy supply system was optimized considering specific demands of a hospital located in Zaragoza, Spain. The objective functions took into account the kilograms of CO 2 released and Eco-indicator 99 Single Score. Also considered were price of energy resources, price and amortization possibilities of the equipment and options for selling surplus electricity to the electric grid. The effect of electricity generation conditions on the optimal configuration was examined by varying the source of electricity production in Spain and considering natural gas/electricity mixes from alternate countries. The ratio between local electricity emissions and natural gas emissions ( α factor) was found to have the highest impact on the configuration of the system. Therefore the α factor could be considered the strongest influencing factor when deciding the optimal configuration of a system that minimizes environmental loads.
Bibliographie:http://dx.doi.org/10.1016/j.energy.2010.09.023
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2010.09.023