Chawki  Lahoud, Marwan  Brouche, Jad  Dakroub, Joseph  Al Asmar, 
    Multi-Objective Optimization for CCHP Systems Based on Regressions Considering Economic
and Environmental Aspects,
    Journal of Engineering and Applied Sciences,
    Volume 15,Issue 17,
    2020,
    Pages 3196-3203,
    ISSN 1816-949x,
    jeasci.2020.3196.3203,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2020.3196.3203)
    Abstract: 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.
    Keywords: Cogeneration systems;trigeneration systems;Combined Heat and Power (CHP);Combined Cooling;Heat and Power (CCHP);decision-making;multi-object optimization;regressions