Evaluating an Emergent Behaviour Algorithm in JCSP for Energy Conservation in Lighting Systems Anna KOSEK a and Aly SYED b and Jon KERRIDGE c a Risoe DTU National Laboratory of Sustainable Energy, Denmark; E-mail: amko@risoe.dtu.dk b NXP Semiconductors, The Netherlands; E-mail: aly.syed@nxp.com c Edinburgh Napier University, United Kingdom; E-mail: j.kerridge@napier.ac.uk Abstract. Since the invention of the light bulb, artificial light is accompanying people all around the world every day and night. As the light bulb itself evolved a lot through years, light control systems are still switch-based and require users to make most of the decisions about its behaviour. This paper presents an algorithm for emergent behaviour in a lighting system to achieve stable, user defined light level, while saving energy. The algorithm employs a parallel design and was tested using JCSP. Keywords. emergent behaviour, lighting system, energy saving Introduction The main energy sources on Earth are not renewable, according to EIA 1 statistics from 2008, renewable solar, geothermal, wind, hydro-power and biomass energy is only 7% of the world energy supply. Energy usage grows every year, according to EIA between 1997 and 2008 it grew by 604.5 Terawatt hours (TWh) that is 15.5% of total energy use [1]. There is a widely recognised need to reduce energy usage in any of the major sectors of the economy. Lighting takes on average 37.8% of the total energy use in buildings over 90m 2 [2] and in houses it is 17% [3]. Therefore lighting usage has a big share of overall energy consumption and gives opportunity to conserve shrinking energy sources. There are many ways to save energy on lighting, very obvious one is to replace existing high-power incandescent bulbs with energy-saving Compact Fluorescent Lamps (CFL) and Light Emitting Diode (LED) lights. This can bring 70% of savings when switching from incandescent to CFL [4] or LED [5]. Further reductions in energy use can be achieved by better controlling light, such as they consume energy sparingly. Statistics from the Dutch NEN 2 norm NEN2916 [6] shows an estimate of potential energy savings for different smart light controls. Statistics from Table 1 indicate that daylight-dependent switching can save 60% of en- ergy use in spaces with daylight, that is up to 22% of the total energy use for lighting in the building, if we replace on/off with dimming capability the reduction is 80%, that is overall on average 30% of enegry conservation in a building. The number of devices controlled by home automation systems grows every day and many devices are already hidden for people’s sight, becoming more and more pervasive. On- 1 U.S. Energy Information Administration, http://www.eia.doe.gov 2 Nederlandse Normalisatie-instituut (eng. Dutch Standards Institute), http://www.nni.nl