From the very beginning the most promising AI methods are inspired by human environment and nature. Especially, collective intelligence of non-human societies can surprised researchers and developers of new solutions. It is matter of specific abilities of particular species oriented on cooperation but moreover awareness of precisely defined goals and resources used in very optimal ways. For example we may admire methods of building cells by honey bee society and organizing of their works; therefore for example problems of tasks planning or optimization of collection of pollen by bees are being solved through certain sort of common intuition and collective intelligence. Proposed Bees algorithm (as an example of swarm algorithms) has been applied in continuous domains (optimization of neural networks) or combinatorial ones (scheduling jobs for a machine). The goal of this paper is presentation of collective intelligence useful in relatively new directions: energy acquisition and selected processes assuring sustainable development. Both directions seem to be very innovative and promising–especially in the ecosystems context.