Optimisation of solar energy utilisation potential in the urban context
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Energy-efficient design of multimedia embedded systems demands optimizations in both hardware and software. Software optimization has no received much attention, although modern multimedia applications exhibit high resource utilization. In order to efficie ...
This paper presents an optimization of a virtual cathode oscillator (Vircator) with axial extraction using a novel evolutionary algorithm (EA) thought to reduce the number of evaluations. The EA was tested on a Vircator optimization with two objective func ...
Augmenting built density helps achieve a sustainable urban development reducing, for example, transport-related energy consumption and greenfield urbanization. Yet, in order not to undermine solar potential and daylight, an integrated design approach guara ...
Today the question of how to work in the continuous contemporary urban landscape, is a big concern for urban development professionals. Still marked by the modern obsession to define the building forms, a vision influenced by the functionalist movement of ...
In this paper we briefly describe three alternative techniques for modelling solar radiation in the urban context. These include the use of: (i) simple morphological parameters as indicators of radiation availability, (ii) a ray-tracing program in conjunct ...
Evolutionary algorithms are widespread heuristic methods inspired by natural evolution to solve difficult problems for which analytical approaches are not suitable. In many domains experimenters are not only interested in discovering optimal solutions, but ...
In this paper we describe a new methodology for optimising building and urban geometric forms for the utilisation of solar irradiation, whether by passive or active means. For this we use a new evolutionary algorithm(a hybrid CMA-ES/HDE algorithm) to searc ...
1 Introduction to energy systems and evolutionary algorithms. 2 Genetic Algorithm for Constrained Optimization Models. 3 A Framework for Multi-Objective Evolutionary Algorithms. 4 Thermo-Economic Optimisation of a Solar Thermal Plant. ...
This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimization tools in net zero energy buildings (NZEB) design. The paper reviews current trends in simulation-based building performance optimization ...
Optimizing collective behavior in multiagent systems requires algorithms to find not only appropriate individual behaviors but also a suitable composition of agents within a team. Over the last two decades, evolutionary methods have been shown to be a prom ...
Institute of Electrical and Electronics Engineers2013