CHP – Combined Heat and Power, Cogeneration or Trigeneration (when
cooling is needed in addition to heating) of heat and power systems normally make
effective use of both electric power and heat energy from a generator, by a method that
obtains two available forms of energy from a single fuel source. Consequently, in
addition to being a promising counter measure to environmental problems by virtue of
its available use of energy, CHP is also effective in dealing with the problem of peak
power loads as it can be used as a distributed source of electric power. In this paper, the
key issue in the CHP Microturbine system design and control optimization has been
analyzed and investigated. It is the issue of the determination of the dynamics of system
and the machine’s loads and capacity, having the excellent economic and environmental
characteristics on the electric power and the heat demand. In general, the ratio of electric
power demand to heat demand in general buildings varies daily over the course of the
year. Demand Loads and System Performance Dynamics predicted through numerical
Simulations and related Algorithm are sound basis for designing and operation of the
intelligent EMS - Energy Management System. EMS intelligence reliability is crucial to
achieve the expected optimal control performance and related benefits.KPTS - Kombinovanom proizvodnjom toplote i snage - kogeneracijom ili
trigeneracijom (kada je potrebno i hlađenje pored grejanja) se efektivno koristi
električna i toplotna energija generatora proizvedena iz određenog energetskog izvora.
Tako, uz prednost doprinosa povećanju energetske efikasnosti korišćenja primarne
energije izvora i time smanjenja ekoloških problema, KPTS je jednovremeno efektivno
sredstvo za smanjenje vršnih opterećenja kada se koristi kao distribuirani system
proizvodnje električne energije. U radu se analizira i dinamičkim simulacijama ispituje
ključni faktor optimalnog projektovanja i kontrole KPTS, a to je određivanje dinamike
potrebe električne i toplotne snage potrošača, odnosno potrošnje. Generalno odnos
potreba električne i potreba toplotne snage (za hlađenje se koristi takođe toplota
absorbcionim sistemom) je tokom godine promenljiv. Opterećenje sa strane potrošnje i
dinamika osobina sistema određeni putem numeričkih simulacija i odgovarajućeg
algoritma su dobra osnova za projektovanje i funkcionisanje inteligentnog EMS -
sistema za upravljanje energijom. Pouzdanost inteligencije EMS-a je ključna da se
dostignu očekivane prednosti optimalne kontrole
