Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm

Prime mover selection for a residential micro-CCHP by using two multi-criteria decision-making methods

“…Biezma and San Cristbal [16] user-friendliness of control and regulation (a, b, c) triangular fuzzy number Á overall overall efficiency (%) balance coefficient distinguishing coefficient using one of the normalization methods. The importance of different criteria is not the same; therefore, usually normalized weight shows the importance of each criterion with respect to the others [5,6,17,18]. Some algorithms such as improved grey incidence approach uses combined weighting method.…”

“…Tichi et al [18] optimized the CHP and CCHP system configuration in Iran for different energy price policies by using the optimization algorithm of the particle swarm (PSOA). J. Wang et al [17] also used particle swarm optimization algorithm and genetic algorithm to maximize a fitness function of a CCHP system with respect to the conventional separate production of cooling, heating and power.…”

Optimal design of CHP systems for housing complexes involving weather and electric market variations

“…This way, Moghadam et al [16] and Ren and Gao [17] proposed formulations for accounting seasonal variations in the domestic consumer demands in a CHP system. Tichi et al [18] explored the optimal system design considering the variations in the cost of purchasing electricity to local power grids. Sanaye and Ardali [19] presented an approach for designing CHP systems using power demands.…”

Impact of differentiated local subsidy policies on the development of distributed energy system

“…In the other model, off design characteristics of all equipments are considered. Tichi [10] examines the effects of current and future energy price policies on optimal configuration of combined heat and power (CHP) and combined cooling, heating, and power (CCHP) systems in Iran, under the conditions of selling and not-selling electricity to utility. Most of them adopt a constant efficiency assumption, whilst others take equipment off-design characteristics into account.…”