Recent Advances on Energy, Environment, Ecosystems, and Development

p. 41-45

Presentation's date: 2015-04-08

Abstract:

In this paper we address the problem of define and execute an environmental model, that describes the behavior of a building from the point of view of sustainability, in a distributed scenario . The inherent complexity of the experiment and the demanding amount of resources needed to perform the calculus, justify the need of distribute the execution of the experiment. This distribution is done through the use of a formal language that not only defines the model behavior, but also the experiment distribution. This methodology can be applied to other modelling environmental problems that usually requires a huge amount of resources to obtain the results, reducing the amount of time needed to perform the Modelling, Implementation, Verification and Experimentation]]>

Mathematical problems in engineering

Vol. 2015

DOI: 10.1155/2015/267974

Date of publication: 2015-01-01

Abstract:

© 2015 Pau Fonseca i Casas et al. The calculus of building energy consumption is a demanding task because multiple factors must be considered during experimentation. Additionally, the definition of the model and the experiments is complex because the problem is multidisciplinary. When we face complex models and experiments that require a considerable amount of computational resources, the application of solutions is imperative to reduce the amount of time needed to define the model and the experiments and to obtain the answers. In this paper, we first address the definition and the implementation of an environmental model that describes the behavior of a building from a sustainability point of view and enables the use of several simulations and calculus engines in a cosimulation scenario. Second, we define a distributed experimental framework that enables us to obtain results in an accurate amount of time. This methodology has been applied to the energy consumption calculation, but it can also be applied to other modeling problems that usually require a considerable amount of resources by reducing the amount of time needed to perform modeling, implementation, verification, and experimentation.

The calculus of building energy consumption is a demanding task because multiple factors must be considered during experimentation. Additionally, the definition of the model and the experiments is complex because the problem is multidisciplinary. When we face complex models and experiments that require a considerable amount of computational resources, the application of solutions is imperative to reduce the amount of time needed to define the model and the experiments and to obtain the answers. In this paper, we first address the definition and the implementation of an environmental model that describes the behavior of a building from a sustainability point of view and enables the use of several simulations and calculus engines in a cosimulation scenario. Second, we define a distributed experimental framework that enables us to obtain results in an accurate amount of time. This methodology has been applied to the energy consumption calculation, but it can also be applied to other modeling problems that usually require a considerable amount of resources by reducing the amount of time needed to perform modeling, implementation, verification, and experimentation.]]>