Debalina Sengupta

Dr. Debalina Sengupta

TEEE Gas & Fuels Research Center, Texas A&M University, College Station, TX 77843, USA

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 January 2018 in ACS Sustainable Chemistry & Engineering
Verified
Journal Article
Closed access
AAAshwin Agarwal
Ashwin Agarwal
Debalina SenguptaDebalina Sengupta
Debalina Sengupta
Mahmoud El-HalwagiMahmoud El-Halwagi
Mahmoud El-Halwagi

23 April 2018 in ACS Sustainable Chemistry & Engineering
Verified
Journal Article
Closed access
SAShaik Afzal
Shaik Afzal
Debalina SenguptaDebalina Sengupta
Debalina Sengupta
ASAmitava Sarkar
Amitava Sarkar
Mahmoud El-HalwagiMahmoud El-Halwagi
Mahmoud El-Halwagi
ANAnd
And
NENimir Elbashir
Nimir Elbashir

20 December 2020 in Processes
Verified
Journal Article
Open access
PDF file
ALAntioco López-Molina
Antioco López-Molina
Debalina SenguptaDebalina Sengupta
Debalina Sengupta
CSClaire Shi
Claire Shi
EAEman Aldamigh
Eman Aldamigh
MAMaha Alandejani
Maha Alandejani
Mahmoud El-HalwagiMahmoud El-Halwagi
Mahmoud El-Halwagi
Biorefineries provide economic, environmental, and social benefits towards sustainable development. Because of the relatively small size of typical biorefineries compared to oil and gas processes, it is necessary to evaluate the options of decentralized (or distributed) plants that are constructed near the biomass resources and product markets versus centralized (or consolidated) facilities that collect biomass from different regions and distribute the products to the markets, benefiting from the economy of scale but suffering from the additional transportation costs. The problem is further compounded when, in addition to the economic factors, environmental and safety aspects are considered. This work presents an integrated approach to the design of biorefining facilities while considering the centralized and decentralized options and the economic, environmental, and safety objectives. A superstructure representation is constructed to embed the various options of interest. A mathematical programming formulation is developed to transform the problem into an optimization problem. A new correlation is developed to estimate the capital cost of biorefineries and to facilitate the inclusion of the economic functions in the optimization program without committing to the type of technology or the size of the plant. A new metric called Total Process Risk is also introduced to evaluate the relative risk of the process. Life cycle analysis is applied to evaluate environmental emissions. The environmental and safety objectives are used to establish tradeoffs with the economic objectives. A case study is solved to illustrate the value and applicability of the proposed approach.

6 July 2018 in Processes
Verified
Journal Article
Open access
PDF file
DODoris Oke
Doris Oke
Thokozani MajoziThokozani Majozi
Thokozani Majozi
Rajib MukherjeeRajib Mukherjee
Rajib Mukherjee
Debalina SenguptaDebalina Sengupta
Debalina Sengupta
Mahmoud El-HalwagiMahmoud El-Halwagi
Mahmoud El-Halwagi
This work presents a mathematical model for the simultaneous optimisation of water and energy usage in hydraulic fracturing using a continuous time scheduling formulation. The recycling/reuse of fracturing water is achieved through the purification of flowback wastewater using thermally driven membrane distillation (MD). A detailed design model for this technology is incorporated within the water network superstructure in order to allow for the simultaneous optimisation of water, operation, capital cost, and energy used. The study also examines the feasibility of utilising the co-produced gas that is traditionally flared as a potential source of energy for MD. The application of the model results in a 22.42% reduction in freshwater consumption and 23.24% savings in the total cost of freshwater. The membrane thermal energy consumption is in the order of 244 × 103 kJ/m3 of water, which is found to be less than the range of thermal consumption values reported for membrane distillation in the literature. Although the obtained results are not generally applicable to all shale gas plays, the proposed framework and supporting models aid in understanding the potential impact of using scheduling and optimisation techniques to address flowback wastewater management.

1 August 2018 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
EEErfika M. Edelia
Erfika M. Edelia
RWRoy Winkler
Roy Winkler
Debalina SenguptaDebalina Sengupta
Debalina Sengupta
Mahmoud El-HalwagiMahmoud El-Halwagi
Mahmoud El-Halwagi
MMM. Sam Mannan
M. Sam Mannan

28 April 2021 in ACS Sustainable Chemistry & Engineering
Verified
Journal Article
Open access
LGLidia S. Guerras
Lidia S. Guerras
Debalina SenguptaDebalina Sengupta
Debalina Sengupta
Mariano MartinMariano Martin
Mariano Martin
Mahmoud El-HalwagiMahmoud El-Halwagi
Mahmoud El-Halwagi
A multistage multilayer systematic procedure has been developed for the selection of the optimal product portfolio from waste biomass as feedstock for systems involving water–energy–food nexus. It consists of a hybrid heuristic, metric-based, and optimization methodology that evaluates the economic and environmental performance of added-value products from a particular raw material. The first stage preselects the promising products. Next, a superstructure optimization problem is formulated to valorize or transform waste into the optimal set of products. The methodology has been applied within the waste to power and chemicals initiative to evaluate the best use of the biomass residue from the olive oil industry toward food, chemicals, and energy. The heuristic stage is based on the literature review to analyze the feasible products and techniques. Next, simple metrics have been developed and used to preselect products that are promising. Finally, a superstructure optimization approach is used to design the facility that processes leaves, wood chips, and olives into final products. The best technique to recover phenols from “alperujo”, a wet solid waste/byproduct of the process, consists of the use of membranes, while the adsorption technique is used for the recovery of phenols from olive leaves and branches. The investment required to process waste adds up to €110.2 million for a 100 kt/yr for the olive production facility, while the profit depends on the level of integration. If the facility is attached to an olive oil production, the generated profit ranges between 14.5 MM €/yr (when the waste is purchased at prices of €249 per ton of alperujo and €6 per ton of olive leaves and branches) and 34.3 MM €/yr when the waste material is obtained for free.