What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Programming language
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.
His most cited work include:
- Pinch analysis approach to carbon-constrained energy sector planning (223 citations)
- Sustainable consumption and production for Asia: sustainability through green design and practice (221 citations)
- Net energy analysis of the production of biodiesel and biogas from the microalgae: Haematococcus pluvialis and Nannochloropsis (214 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Pinch analysis (15.19%)
- Process engineering (14.72%)
- Environmental economics (14.25%)
What were the highlights of his more recent work (between 2019-2021)?
- Environmental economics (14.25%)
- Sustainability (7.48%)
- Greenhouse gas (10.98%)
In recent papers he was focusing on the following fields of study:
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.
Between 2019 and 2021, his most popular works were:
- Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19 (173 citations)
- Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm (62 citations)
- Can Global Pharmaceutical Supply Chains Scale Up Sustainably for the COVID-19 Crisis? (21 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Programming language
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.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
