Title of article :
Solar assisted absorption cooling cycles for reduction
of global warming: A multi-objective optimization approach
Author/Authors :
Berhane H. Gebreslassie a، نويسنده , , Gonzalo Guille´n-Gosa´lbez b، نويسنده , , Laureano Jime´nez b، نويسنده , , Dieter Boer c، نويسنده , , ?، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2012
Abstract :
This work addresses the use of absorption cycles combined with solar energy for reducing the green house gas (GHG) emissions in the
cooling sector. The problem of satisfying a given cooling demand at minimum cost and environmental impact is formulated as a bi-criterion
non-linear optimization problem that seeks to minimize the total cost of the cooling application and its contribution to global
warming. The latter metric, which is assessed following the principles of life cycle assessment (LCA), accounts for the impact caused
during the construction and operation of the system. The concept of Pareto optimality is employed to discuss different alternatives
for reducing the contribution to global warming that differ in their economic and environmental performance. We also analyze the effect
of taxes on CO2 on the economic and environmental performance of the system. The capabilities of the proposed approach are illustrated
through a case study that addresses the design of a solar assisted ammonia-water single effect absorption cooling system with 100 kW of
cooling capacity considering Barcelona weather conditions. We show that reducing the contribution to global warming considering the
current energy prices and taxes on carbon dioxide emissions is technically viable but economically not appealing. We also discuss the
conditions under which reducing the CO2 emissions could become economically attractive.
2012 Elsevier Ltd. All rights reserved
Keywords :
Solar assisted cooling , NLP , Life cycle assessment (LCA) , Multi-objective optimization , global warming potential
Journal title :
Solar Energy
Journal title :
Solar Energy