A model for the temperature dependence of the isobaric heat capacity of associated pure liquids C(p,m)(o)(T) is proposed. Taking the ideal gas as a reference state, the residual heat capacity is divided into nonspecific C(p) (res,ns) and associational C(p) (res,ass) contributions. Statistical mechanics is used to obtain C(p)(res,ass) by means of a two-state model. All the experimentally observed C(p,m)(o)(T) types of curves in the literature are qualitatively described from the combination of the ideal gas heat capacity C(p)(id)(T) and C(p)(res,ass)(T). The existence of C(p,m)(o)(T) curves with a maximum is predicted and experimentally observed, for the first time, through the measurement of C(p,m)(o)(T) for highly sterically hindered alcohols. A detailed quantitative analysis of C(p,m)(o)(T) for several series of substances (n-alkanes, linear and branched alcohols, and thiols) is made. All the basic features of C(p,m)(o)(T) at atmospheric and high pressures are successfully described, the model parameters being physically meaningful. In particular, the molecular association energies and the C(p)(res,ns) values from the proposed model are found to be in agreement with those obtained through quantum mechanical ab initio calculations and the Flory model, respectively. It is concluded that C(p,m)(o)(T) is governed by the association energy between molecules, their self-association capability and molecular size.

A simple association model for alcohol−alkane mixtures, based on the idea that only two energy states are accessible to alcohol molecules in the pure and in the solution states, predicts complex temperature and alcohol concentration dependences of the excess molar heat capacity, . These predictions are tested through the accurate measurement of pure component and solution heat capacities in the 278.15−338.15 K temperature interval. These measurements were performed at low, equimolar, and high alcohol concentrations for a linear alcohol (1-butanol) and a branched alcohol (3-methyl-3-pentanol) mixed with n-decane and with toluene. The qualitative predictions from the two-state model are corroborated by the data. According to this model, the very different behaviors found for the different systems arise simply through the change in hydrogen bonding Gibbs energy occurring on moving from the linear to the branched alcohol and in going from the inert n-decane to the aromatic toluene.

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Energy flexible buildings through smart demand-side management (DSM) or smart demand response (DR) using efficient energy storage, are currently one of the most promising options to deploy low-carbon technologies in the electricity networks without the need of reinforcing existing networks. Although, many ignore the potential, economic and energetic benefits these alternatives could hold for buildings, users and tariffs.In the study carried out a control system of demand management measures is analyzed, based on the use of the buildings' thermal mass as thermal storage (preheating, precooling and night ventilation). This demand management system is analyzed in five existing residential buildings in the so-called reference scenario (construction, user and current prices). Subsequently, comes the analysis of the optimal management strategy choice from the system, when facing changes in the housings' constructive characteristics and electric tariffs.The dynamism of the management system stands out from the results achieved, as well as the dependence of the possible strategy choices on the climate zones. In the reference situation, the maximum economic savings obtained after the implementation of the management system correspond to 3.2% for heating and 8.5% for cooling. In this same manner, when the buildings are previously rehabilitated, the savings can double even generating energy savings. Finally, it can be concluded that the low installation costs of these measures make them a winning solution, as long as the electric pricing and user behaviour allow the required flexibility.

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