International audienceThe combustion of synthesis gas will play an important role in advanced power systems based on the gasification of fuel feedstocks and combined cycle power production. While the most commonly discussed option is to burn syngas in gas turbine engines, another possibility is to burn the syngas in stationary reciprocating engines. Whether spark ignited or compression ignited, syngas could serve to power large bore stationary engines, such as those presently operated on natural gas. To date, however, there has been little published on the combustion of syngas in reciprocating engines. One area that has received attention is dual-fueled diesel combustion, using a combination of diesel pilot injection and syngas fumigation in the intake air. In this article, we survey some of the relevant published work on the use of synthesis gas in IC engines, highlighting recent work on dual-fuel (syngas + diesel) combustion

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This paper presents the building heating demand prediction model with occupancy profile and operational heating power level characteristics in short time horizon (a couple of days) using artificial neural network. In addition, novel pseudo dynamic transitional model is introduced, which consider time dependent attributes of operational power level characteristics and its effect in the overall model performance is outlined. Pseudo dynamic model is applied to a case study of French Institution building and compared its results with static and other pseudo dynamic neural network models. The results show the coefficients of correlation in static and pseudo dynamic neural network model of 0.82 and 0.89 (with energy consumption error of 0.02%) during the learning phase, and 0.61 and 0.85 during the prediction phase respectively. Further, orthogonal array design is applied to the pseudo dynamic model to check the schedule of occupancy profile and operational heating power level characteristics. The results show the new schedule and provide the robust design for pseudo dynamic model. Due to prediction in short time horizon, it finds application for Energy Services Company (ESCOs) to manage the heating load for dynamic control of heat production system.

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Whole-rock geochemical data were obtained for 178 samples selected from the petrologically freshest parts of most of the flow units recovered from the nine holes. These data include 170 major element analyses (XRF) and 174 trace-element analyses (XRF and INAA). We include representative microprobe analyses of the primary minerals and fresh basaltic glasses (where present) in 40 selected samples. We also present 87 Sr/ 86