TY  - JOUR
T1  - Multi-Objective Optimization for CCHP Systems Based on Regressions Considering Economic
and Environmental Aspects
AU - Lahoud, Chawki AU - Brouche, Marwan AU - Dakroub, Jad AU - Al Asmar, Joseph 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 17
SP  - 3196
EP  - 3203
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.3196.3203
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.3196.3203
KW  - Cogeneration systems
KW  -trigeneration systems
KW  -Combined Heat and Power (CHP)
KW  -Combined Cooling
KW  -Heat and Power (CCHP)
KW  -decision-making
KW  -multi-object optimization
KW  -regressions
AB  - CHP (Combined Heating and Power) and
CCHP (Combined Cooling, Heating and Power) systems
defined by a high energy efficiency and a fewer polluting
emissions in comparison to the separated energy
generation leads to a high attention during the last decade.
In order to combine these systems into a grid, the
economic aspect and an environmental aspect must be
studied. In this study, a multi-objective optimization is
developed to study these aspects. This optimization is
based on the economic and the environmental challenges
of a trigeneration system that produces cooling, heating
and electricity simultaneously. Due to the complexity of
the system a Genetic algorithm is used to find the optimal
solution. Then, a new decision-making strategy for the
optimal power of the CCHP system that must be
integrated in any sector based on Mathematical
regressions is introduced. Different load levels were
studied in order to demonstrate the effectiveness of this
proposed optimization.
ER  -