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Research and Development becomes one of the main pillars to build knowledge based economy nowadays . In highly competitive market, there is a real need for efficient mechanisms to have a successful technology development model. Open Innovation through University Industry Collaboration (UIC) is one of promising mechanisms to develop new technologies that can seed national knowledge economy. UIC model brings valuable benefits to both academia and industry in order to have efficient technology development processes. In addition, UIC offers university researchers an opportunity to have an exposure to industry and creates training and internship opportunities for university students. Trilateral collaboration model, which adds end-user to UIC arrangement, could bring an additional advantage to align the product development with actual customer needs making introduction of new product more successful. This paper gives an overview about the main aspects of trilateral collaboration and shows a real trilateral collaboration case between academia, technology provider and end-user to develop an actual product that serves end-user needs showing advantages, challenges of proposed model.

To obtain the high-quality crude oil from the surface processing plants, oil and gas separation plants parameters need to be optimized, by minimizing the intermediate components, flash from the crude oil during primary and secondary separation processes. The aim of this paper is to present an accurate methodology for predicting optimized separation parameters in the multistage crude oil production unit. The new proposed methodology determines the optimum pressures of separators in different stages of separation and consequently optimizes the operating conditions. A dynamic simulator is used to generate the data set for a designed production facility. Then, an optimization algorithm is used to build an optimum artificial neural network model to predict the optimum operating conditions that will maximize the liquid recovery. The ultimate objective of this work is to have an advisory system for optimizing liquid recovery from the production facilities.

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Fouling build-up is one of the most challenging problems for heat exchangers in industry. The presence of fouling leads to a degradation of system efficiency, an increase in operating cost, and possibly, a harmful environmental impact. For this reason, fouling analysis has become an extremely important research subject in order to have a safe and efficient operation. The analysis is more difficult where phase change of fluids is involved during the heat transfer process, as in the case of boilers and condensers, which are critical units in industrial facilities. Due to the lack of a comprehensive review of fouling analysis for the case of multiphase heat exchangers, this paper examines available approaches and techniques used for fouling characterization, modeling, monitoring, and prediction in heat exchangers for both single-phase and multiphase heat exchangers with a focus on fouling in thermal desalination systems. It also gives an overview of heat exchanger condition monitoring solutions available in the market.