Ehsan Asadi

TL;DR: In this paper, a multi-objective optimization model is presented to assist stakeholders in the definition of intervention measures aimed at minimizing the energy use in the building in a cost effective manner, while satisfying the occupant needs and requirements.

TL;DR: In this paper, a multi-objective optimization model using genetic algorithm (GA) and artificial neural network (ANN) is presented to quantitatively assess technology choices in a building retrofit project.

TL;DR: In this paper, a simulation-based multi-objective optimization scheme (a combination of TRNSYS, GenOpt and a Tchebycheff optimization technique developed in MATLAB) is employed to optimize the retrofit cost, energy savings and thermal comfort of a residential building.

TL;DR: In this article, the authors bring together ten research topics concerning the energy and environmental performance of buildings, which can support a shift towards a more sustainable built environment by integrating the dynamics and main drivers of energy supply and demand in buildings.

TL;DR: The comprehensive IAQ audit revealed four main problems in the hotel building: insufficient ventilation rate; too high particle concentration in some rooms; contamination by Legionella of the sanitary hot-water circuit; poor filtration effectiveness in all air handling units (AHUs).