{"title":"Absorbance and thermal diffusion characteristics of charged ion in organic photovoltaic solar cell","authors":"M. B. Shitta, E. Ogedengbe, M. Rosen","doi":"10.1504/IJPSE.2015.075109","DOIUrl":"https://doi.org/10.1504/IJPSE.2015.075109","url":null,"abstract":"An M.pudica-based organic solar cell model is developed for experimental investigation of UV light absorptivity within ethyl acetate and ethanol mixtures in order to predict charged ion mobility within a network of microchannels. A two-dimensional simulation of energy transport with a finite volume formulation is adopted, where the back field effect on the wafering technology and the optimisation of the energy conversion within the M.pudica-based organic solar cell can be investigated. A significant contribution of this study is the inclusion of the material characterisation of M.pudica as a potential source of energy supply. The developed model is proposed for performance improvement in the design of the organic solar cell. With a variety of imposed boundary conditions, the scalar transport variables and their responses to the environment are studied. The temperature specified on the faces with Dirichlet boundary condition is 100°C. The result of the surface temperature diffusion is presented. The temperature that diffuses into the cell layer ranges from 30°C to 77°C, suggesting a temperature range for manufacturing of the organic solar cell.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"769 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An energy evaluation for thermal conversion of thermoplastic waste to refined oil products using pyrolysis reaction process system","authors":"H. Gabbar, Mohamed Aboughaly, A. Choudhary","doi":"10.1504/IJPSE.2016.081208","DOIUrl":"https://doi.org/10.1504/IJPSE.2016.081208","url":null,"abstract":"Thermoplastics are converted to hydrocarbon fuels in a chemical reaction called pyrolysis. The work highlights the energy consumption using Aspen HYSYSV8.8 simulations in each process stage starting with granulation, preheating, pyrolysis reactor and condensation as major process steps concluding that the highest required heat duty which is around 61% in the pyrolysis reactor thus having the highest operating cost. Aspen HYSYS is used to calculate energy consumption in each stage. The design is 10 tonne/hour of thermoplastic mixture. Pyrolys is reactor operating temperatures are 550°C at atmospheric pressure. The condensation system shows recovery duty of 3.4 MW of which can be used to heat cold streams. Pinch analysis was also carried out to design a heat exchanger network (HEN) between hot and cold streams in order to reduce energy consumption. Heat recovery from pyrolysis reactor effluent gases shows possible 3.439 MW recovery in a 10 tonne per hour pyrolysis plant.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116385912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Operation state classification of power system using fuzzy logic techniques","authors":"A. Meddeb, H. Jmii, S. Chebbi","doi":"10.1504/IJPSE.2019.10017449","DOIUrl":"https://doi.org/10.1504/IJPSE.2019.10017449","url":null,"abstract":"The occurrence of contingencies in the power system may cause deviation from its ideal operating condition, which initiates the security assessment for efficient operation of the power system. This paper has two objectives. First, to identify and classify the power system states that provides a consistent security analysis. Second, to evaluate each curative action based on the degree of the violation of security constraint for an effective and secure power system. Therefore, a new methodology for operation state classification using the fuzzy logic technique is proposed to achieve these objectives. Moreover, two fuzzy logic controllers are developed. The first one (FLC 1) classifies the operating states of the power system in one of four categories: normal (N), alert (A), emergency (E1) and extreme (E2). The second (FLC 2) specifies the appropriate action to avoid the transition to an extreme state. The simulation program, under MATLAB environment, was applied to evaluate the classification algorithm performances developed using the fuzzy logic technique.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129337213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of multilevel flow modelling-based decision support system by using multiagent platform","authors":"Xinxin Zhang, M. Lind, Ole Ravn","doi":"10.1504/IJPSE.2014.066692","DOIUrl":"https://doi.org/10.1504/IJPSE.2014.066692","url":null,"abstract":"For complex engineering systems, there is an increasing demand for safety and reliability. Decision support system (DSS) is designed to offer supervision and analysis about operational situations. A proper model representation is required for DSS to understand the process knowledge. Multilevel flow modelling (MFM) represents complex system in multiple levels of means-end and part-whole decompositions, which is proposed in this paper as basis for developing decision support systems. The aim of this paper is to explore the different possible functionalities by applying MFM to DSS, where both currently available techniques of MFM reasoning and less mature yet relevant MFM concepts are considered. It also offers an architecture design of task organisation for MFM software tools by using the concept of agent and technology of multiagent software system.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131761312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integration and coordination of multisite refinery and under uncertainty","authors":"A. Elkamel, K. A. Qahtani","doi":"10.1504/IJPSE.2011.041561","DOIUrl":"https://doi.org/10.1504/IJPSE.2011.041561","url":null,"abstract":"","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal placement of TCSC for congestion management in deregulated power system using firefly algorithm","authors":"E.B. Elanchezhian, M. Anitha, A. J. Basha","doi":"10.1504/IJPSE.2019.10017448","DOIUrl":"https://doi.org/10.1504/IJPSE.2019.10017448","url":null,"abstract":"In today's competitive electricity market, managing transmission congestion is a major challenging issue due to operational constraints. Flexible AC transmission system (FACTS) device can be a choice to control the power flow in the congested transmission lines. This paper explores the use of thyristor controlled series compensator (TCSC) for power flow control in congested network using firefly algorithm (FA). The optimal location of TCSC is identified based on real power performance index and reduction of total system reactive power loss methods. Further in the congestion management (CM) problem, single line outage analysis is also performed. FA is used to determine the minimum total cost which includes production cost and TCSC cost. Results of five bus, IEEE 14 and IEEE 30 bus test systems indicate that FA provides minimum cost compared to the previous literature. The efficiency of the proposed FA for obtaining the high quality solution is also established.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130641989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. B. Shams, A. Elkamel, K. Moorthy, Golbahar Rafinejad, Aubhooti Saxena
{"title":"Optimal design of T2 monitoring chart for chemical processes","authors":"M. B. Shams, A. Elkamel, K. Moorthy, Golbahar Rafinejad, Aubhooti Saxena","doi":"10.1504/IJPSE.2015.075104","DOIUrl":"https://doi.org/10.1504/IJPSE.2015.075104","url":null,"abstract":"In this paper, the optimal design of multivariate statistics-based monitoring charts for large scale systems is investigated. A cost function that explicitly accounts for the different quality monitoring costs is used to determine the parameters of the Hotelling's T2 monitoring chart. The proposed approach is used to economically monitor the products in the Tennessee Eastman process (TEP). The implementation of a multivariate economical criterion in the design of the Hotelling's T2 control chart provides an improved basis for the evaluation and repairs of out of control states and results in monitoring's cost minimisation through optimal sampling schedules. Due to the nature of the used economic model, the decision of switching from traditional statistical design to economic design requires the balance between the gained cost saving and the expected statistical performance of the T2 monitoring chart. Finally, in order to evaluate the reliability of the estimated optimal parameters, a detailed sensitivity analysis is presented.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134624054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Wu, Laibin Zhang, S. Jørgensen, G. Sin, Z. Khokhar, M. Lind
{"title":"Hazard identification by extended multilevel flow modelling with function roles","authors":"Jing Wu, Laibin Zhang, S. Jørgensen, G. Sin, Z. Khokhar, M. Lind","doi":"10.1504/IJPSE.2014.066690","DOIUrl":"https://doi.org/10.1504/IJPSE.2014.066690","url":null,"abstract":"HAZOP studies are widely accepted in chemical and petroleum industries as the method for conducting process hazard analysis related to design, maintenance and operation of the systems. In this paper, a HAZOP reasoning method based on function-oriented modelling, multilevel flow modelling (MFM) is extended with function roles to complete HAZOP studies in principle. A graphical MFM editor, which is combined with the reasoning engine (MFM Workbench) developed by DTU is applied to automate HAZOP studies. The method is proposed to support the ‘brain-storming’ sessions in traditional HAZOP analysis. As a case study, the extended MFM-based HAZOP methodology is applied to an offshore three-phase separation process. The results show that the cause-consequence analysis in MFM can infer the cause and effect of a deviation used in HAZOP and used to fill HAZOP worksheet. This paper is the first paper discussing and demonstrating the potential of the roles concept in MFM to supplement the completeness of HAZOP analysis in theory.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122517726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimisation of thermally coupled distillation sequences with side columns","authors":"Nelly Ramírez Corona, Arturo Jiménez Gutiérrez","doi":"10.1504/IJPSE.2012.045902","DOIUrl":"https://doi.org/10.1504/IJPSE.2012.045902","url":null,"abstract":"","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134163431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal planning of a biofuel supply chain using a multi-criteria optimisation model","authors":"S. Syafiie, M. Valizadeh","doi":"10.1504/IJPSE.2016.081205","DOIUrl":"https://doi.org/10.1504/IJPSE.2016.081205","url":null,"abstract":"Biofuels, for reasons such as the high demand of fossil fuels, the need for energy security and concerns over greenhouse gas emissions, have attracted the attention of researchers. Production of biofuels can be costly. On the other hand, the environmental benefits of biofuels depend on the technique they are produced, transported and used. This article studies a mathematical programming model for optimal planning of a biofuel supply chain based on existing facilities. The developed model is based on multi-objective linear programming (MOLP) and considers the economic, environmental and social concerns related to the proposed biofuel supply chain. The model takes into account feedstock availability, biofuel demand, existing biofuel plants and processing technologies. The proposed model is used to evaluate biodiesel production from palm oil and jatropha oil based on existing biodiesel plants in Malaysia. From developed model, the e-constraint method is applied to solve the optimisation problem. Solving of the proposed model determines the optimal quantity of biomass to be harvested, transportation schedules and the quantity of biodiesel produced at biorefineries as well.","PeriodicalId":360947,"journal":{"name":"International Journal of Process Systems Engineering","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127562673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}