His primary areas of investigation include Process engineering, Pinch analysis, Process integration, Reuse and Mathematical optimization. His Process engineering study combines topics from a wide range of disciplines, such as Carbon footprint, Co2 storage, Carbon capture and storage, Waste treatment and Flexibility. His biological study spans a wide range of topics, including Fossil fuel, Resource and Energy planning.
His study in Process integration is interdisciplinary in nature, drawing from both Environmental engineering, Energy consumption, Simulation, Decomposition and Economy. His research in Mathematical optimization intersects with topics in Property, Fuzzy linear programming and Process. Within one scientific family, Raymond R. Tan focuses on topics pertaining to Environmental economics under Production, and may sometimes address concerns connected to Optimization problem.
Raymond R. Tan focuses on Pinch analysis, Process engineering, Environmental economics, Mathematical optimization and Process integration. His Pinch analysis research is multidisciplinary, relying on both Environmental engineering, Energy planning, Industrial engineering and Greenhouse gas. His Process engineering research integrates issues from Carbon capture and storage, Waste management and Carbon footprint.
He combines subjects such as Eco-industrial park, Industrial symbiosis, Environmental resource management, Sustainable development and Sustainability with his study of Environmental economics. His research links Fuzzy logic with Mathematical optimization. In his study, which falls under the umbrella issue of Process integration, Production is strongly linked to Process.
Raymond R. Tan mainly focuses on Environmental economics, Sustainability, Greenhouse gas, Production and Biomass. Raymond R. Tan has included themes like Raw material, Lean manufacturing and Investment in his Environmental economics study. In his research on the topic of Greenhouse gas, Renewable energy, Energy consumption, Carbon capture and storage, Zero emission and Natural resource economics is strongly related with Electricity generation.
His Renewable energy research incorporates themes from Global warming and Pinch analysis. His research investigates the connection between Pinch analysis and topics such as Systems engineering that intersect with issues in Process. He interconnects Decision support system, Carbon dioxide, Process engineering and Risk analysis in the investigation of issues within Production.
Raymond R. Tan mainly investigates Sustainability, 2019-20 coronavirus outbreak, Renewable energy, Severe acute respiratory syndrome coronavirus 2 and Process integration. His Sustainability research includes elements of Supply chain network, Ambidexterity and Sustainable supply chain. His work carried out in the field of Renewable energy brings together such families of science as Wind power and Production.
His Wind power study combines topics in areas such as Reliability engineering, Differential evolution, Turbine, Decision support system and Fuzzy logic. His study in Process integration focuses on Pinch analysis in particular. His Pinch analysis study which covers Data-driven that intersects with Process and Energy planning.
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Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19
Jiří Jaromír Klemeš;Yee Van Fan;Raymond R. Tan;Peng Jiang.
Sustainable consumption and production for Asia: sustainability through green design and practice
Ming-Lang Tseng;Ming-Lang Tseng;Shun Fung Chiu;Raymond R. Tan;Anna Bella Siriban-Manalang;Anna Bella Siriban-Manalang.
Pinch analysis approach to carbon-constrained energy sector planning
Raymond R. Tan;Dominic C.Y. Foo.
Net energy analysis of the production of biodiesel and biogas from the microalgae: Haematococcus pluvialis and Nannochloropsis
Luis F. Razon;Raymond Girard R. Tan.
Circular economy meets industry 4.0: Can big data drive industrial symbiosis?
Ming-Lang Tseng;Raymond R. Tan;Anthony S.F. Chiu;Chen-Fu Chien.
Game theory approach to the analysis of inter-plant water integration in an eco-industrial park
Irene Mei Leng Chew;Raymond R. Tan;Dominic Chwan Yee Foo;Anthony Shun Fung Chiu.
Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
Ling Ling Li;Xue Zhao;Ming Lang Tseng;Ming Lang Tseng;Raymond R. Tan.
Bi-level fuzzy optimization approach for water exchange in eco-industrial parks
Kathleen B. Aviso;Raymond R. Tan;Alvin B. Culaba;Jose B. Cruz.
Automated Targeting Technique for Single-Impurity Resource Conservation Networks. Part 2: Single-Pass and Partitioning Waste-Interception Systems
Denny Kok Sum Ng;Dominic Chwan Yee Foo;Raymond R. Tan.
Synthesis of Direct and Indirect Interplant Water Network
Irene Mei Leng Chew;Raymond Tan;Denny Kok Sum Ng;Dominic Chwan Yee Foo.
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