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Introduction
Publications
Publications (63)
This article presents a comprehensive review of lithium as a strategic resource, specifically in the production of batteries for electric vehicles. This study examines global lithium reserves, extraction sources, purification processes, and emerging technologies such as direct lithium extraction methods. This paper also explores the environmental a...
An eco-industrial park (EIP) could be used to integrate the water use and discharge for each clustered group of enterprises. To reduce the negative environmental effects of industrial effluents released into watersheds, this chapter presents a mathematical programming model for water integration in EIP. The model considers the establishment of seve...
This chapter presents a mathematical programming approach for choosing installation locations for industrial facilities considering water usage and disposal. A material flow analysis model is incorporated, where the integration of water within the industrial facility as well as the interaction between the wastewater discharged and the surrounding w...
A convex mathematical programming model for the optimization of recycle/reuse water networks is presented in this chapter. The main configurations of interest, including segregation, mixing, recycling, bypass, and stream treatment, which are required to meet process and environmental restrictions, are included in the generic superstructure that for...
To meet process and environmental constraints, this chapter introduces a new mathematical programming model for the best possible synthesis of recycle and reuse water networks that simultaneously considers the integration of the nearby watershed and the water network system. Using a disjunctive formulation, the model considers the best placement fo...
A mixed integer nonlinear programming model that affects the water quality in a nearby watershed is presented in this chapter to optimally allocate a new industrial unit. The optimization strategy considers not only the economic factors but also the environmental impact, ensuring that the wastewater streams released into the environment have qualit...
A mathematical programming model for sustainable water management in macroscopic systems is presented in this chapter. The model considers the possibilities of employing alternate water sources, such as rainfall and reclaimed water, to improve the sustainability of natural water bodies to meet the system’s water demands. The model is a multi-period...
This chapter describes a mathematical mode and its application to simultaneously optimize direct recycle-reuse networks together with wastewater treatment processes to satisfy environmental constraints. A disjunctive programming formulation is implemented to optimize the recycling/reusing of process streams to units and to optimize the performance...
To account for system uncertainty, this chapter provides a mathematical programming formulation for designing water networks related to shale gas hydraulic fracturing operations. The presented formulation results in a cost-effective strategic planning that considers the amount of water needed as well as the equipment capacities for storage, dischar...
Economic and population growth is the main cause of the continuous sharp increase in energy demand. As a result, new energy sources like renewable energy and unconventional gas have attracted a lot of attention. Recent advancements in hydraulic and horizontal fracture have made shale gas a significant worldwide energy source. The extraction of shal...
To manage wastewater produced by hydraulic fracturing operations in the production of shale gas, this chapter presents a mathematical programming approach for strategic planning. The goal of the presented approach is to choose the best course of action for treatment, storage, and reuse. Along with the long-term produced water, the technique also co...
This chapter introduces a novel dynamic approach for the best possible synthesis of water treatment networks that takes sustainability limitations into account in addition to environmental constraints, considering the surrounding watershed. Using a disjunctive formulation, the presented model considers the best site for future industrial facilities...
One of the biggest issues facing many nations worldwide is water scarcity; in this regard, several strategies for resource conservation and increasing the amount of water that is available through actions like process intensification and the use of alternative water sources have recently been proposed. Two practical solutions to accomplish these ob...
An average biorefining supply chain has a significant effect on local water resources. There are indeed intricate connections between the processes of producing biomass, turning it into chemicals and fuels, using fresh water, and disposing of wastewater. An optimization approach for the design of a biorefining system that considers the interactions...
A mathematical programming formulation for the best flowback water management in shale gas wells is presented in this chapter. The formulation takes into consideration the possibilities for treatment, storage, reuse, and disposal in addition to the flowback water dependent on time. Both the environmental and economic goals are considered. Finding t...
To build rainwater harvesting systems for residential usage in a residential complex, this chapter presents an optimization-based method. The optimal seating, collecting, storing, and distribution of gathered rainwater are taken into consideration by the optimization model, which also considers the installation of pipes, reservoirs, and rainwater h...
Through the recycling and reuse of wastewater streams, this chapter presents an optimization strategy for constructing effective water networks for shale gas production. This approach reduces freshwater consumption and effluents while considering economic and environmental goals. The goal of the economic objective function is to reduce the total an...
This paper presents a novel mathematical programming approach that simultaneously incorporates a mixed-integer nonlinear programming formulation with machine learning models to determine the operating conditions, gas production, and optimal water management for the completion phase in shale gas fields. The dataset for the development of an artifici...
In this paper, deep learning models are developed based on a
multilayer perceptron to forecast 12 month cumulative produced shale gas and 90 day produced flowback water using a study area within the Eagle Ford Formation as a database. These models can help decision-makers have important references when drilling new wells. Latitude, longitude, true...
This paper addresses the multi-objective optimization of water management used in the extraction of shale gas through the hydraulic fracturing process. The optimization aims to minimize the total annual cost and simultaneously minimize the total water requirements. Two uncertain factors are considered about the available fresh water and flowrate of...
Due to the large amounts of water required in shale gas fracturing is necessary to find the correct planning and management of water resources. This work proposed a mathematical programming model capable of obtaining the optimal solution that considers the uncertainty associated with the amount of water required per well, as well as the fraction of...
Resource allocation among stakeholders has not been addressed equitably in interplant heat integration that simultaneously considers thermal engines. Therefore, this paper presents an approach to interplant heat integration and thermal engines that considers the equitable allocation of resources among the different industrial plants involved. A hyb...
This work presents a novel approach to recover industrial waste heat and to integrate it into utilities, refrigeration, and electricity production through the incorporation of heat exchanger networks and thermal engines (steam Rankine cycle, organic Rankine cycle, and absorption refrigeration cycle). The solution approach is based on the iteration...
This paper presents a new optimization framework that reconciles deterministic and metaheuristic optimization in order to solve non-convex models. In this way, it is possible to solve the convex part in a software specialized in deterministic optimization and the non-convex part using metaheuristic tools. The chosen software for the deterministic o...
This paper presents a mathematical programing formulation for synthesizing natural gas supply chains incorporating shale gas. The proposed formulation maximizes the profits and at the same time deals with the minimization for the overall environmental impact. The objective function is aimed at the maximization of the total profit, which accounts fo...
The concept of eco-industrial parks (EIPs) for integrating resources and infrastructure among several adjacent plants offers synergistic opportunities that can lead to enhanced profit, reduced pollution, and increased conservation of natural resources. A special class of EIPs, Carbon-Hydrogen-Oxygen SYmbiosis Networks (CHOSYNs), has been recently i...
This work proposes an optimization approach for designing efficient water networks for the shale gas production through the recycle and reuse of wastewater streams reducing the freshwater consumption and effluents considering economic and environmental goals. The economic objective function aims to minimize the total annual cost for the water netwo...
Biofuels have emerged as an attractive renewable alternative to satisfy the global energy demands. The large-scale production of biofuels requires the installation of biorefining systems that involve strategic decisions for the logistics and operation in the production of biofuels such as location, feedstock type(s), production capacities and inter...
This work proposes a mathematical optimization model for the design of a biorefining system through an efficient supply chain considering economic (minimization of the total annual cost) and environmental objectives (minimization of the overall CO2 emissions), through the water-energy-food nexus. The proposed model is a mixedinteger linear programm...
This work presents a mathematical programing formulation for the optimal management of flowback water in shale gas wells considering economic and safety aspects. The proposed formulation accounts for the time-based generation of the flowback water, as well as the options for treatment, storage, reuse, and disposal. The economic objective function i...
This paper presents a mathematical programing formulation for the optimal management of flowback water in shale gas wells. The formulation accounts for the time-based generation of the flowback water, the options for treatment, storage, reuse, and disposal. The economic and environmental objectives are considered. The economic objective function is...
A typical biorefining supply chain exerts substantial impact on the regional water resources. Indeed, a complex relationship exists between the production of biomass, the processing of biomass into fuels and chemicals, the usage of fresh water, and the discharge of wastewater. This paper introduces an optimization framework for the design of a bior...
The global warming and climate change problems have raised because of the high consumption of fossil fuels during the past century. Recently, biofuels have attracted the interest as an option to reduce the extensive use of fossil fuels; particularly, biobutanol appears as an option to replace the petroleum-based fuels. However, the separation proce...
This paper presents a mathematical programing formulation for synthesizing water networks associated with shale gas hydraulic fracturing operations while accounting for the system uncertainty. The proposed formulation yields a strategic planning that minimizes the cost considering water requirements as well as equipment capacities for treatment tec...
This chapter presents a new dynamic approach for the optimal synthesis of water treatment networks considering environmental and sustainability constraints simultaneously. The proposed model considers the optimal location of new industrial facilities to integrate dynamically their wastewater discharges to the environment through a disjunctive formu...
This paper presents an optimization approach to the incorporation of electrocoagulation in the design of integrated water networks for oil refineries. A disjunctive programming formulation is developed to minimize the cost of the water-management system while including the characteristics of process water streams, recycle, reuse, and treatment of w...
This paper presents an optimization approach for mitigating CO2 emissions in the electric power generation through integrated algae and cogeneration systems. A framework is proposed for the integration of biofixation of CO2 through the cultivation of microalgae, conversion of microalgae to biodiesel, and a steam power plant with cogeneration that i...
Industrial facilities impacting a watershed may be clustered into groups based on their geographical locations. Water usage and discharge for each clustered group of industries may be integrated through the introduction of an eco-industrial park (EIP). This paper presents a mathematical programming model for water integration of EIPs to be synthesi...
This work presents a dynamic model to determine the optimal location of a new industrial plant considering simultaneously the integration of the water network system inside of the new industrial facilities and its effect on the surrounding watershed to satisfy environmental regulations and constraints over the water quality. The model was formulate...
This paper proposes a mathematical programming model for the pollution trading among different pollution sources which considers the sustainability of the surrounding watershed. The formulation involves the minimization of the costs associated to the implementation of the required technology to satisfy the environmental constraints in order to achi...
A methodology is presented for optimizing hybrid renewable energy-fossil fuel systems with short-term heat storage, which consist of an absorption-refrigeration (AR) cycle integrated with a heat exchanger network (HEN) requiring cooling below ambient temperature. The AR cycle can be driven by multiple energy sources including excess energy from hot...
A novel superstructure-based approach for synthesizing sustainable trigeneration systems (i.e., heating, cooling, and power generation cycles) integrated with heat exchanger networks is presented in this paper. The trigeneration system accounts for steam and organic Rankine cycles and an absorption refrigeration cycle. The steam Rankine cycle can b...
A systematic approach for heat integration into an eco-industrial park through an integrated trigeneration system is presented. The approach is based on a new superstructure formulated as a multiobjective mixed-integer nonlinear programming model, where intraplant and interplant heat exchange for the process streams is allowed, in addition to the e...
This work deals with the problem of synthesizing sustainable trigeneration systems (i.e. heating, cooling and power generation cycles) integrated with heat exchanger networks accounting simultaneously for economic, environmental and social issues. The trigeneration system is comprised of steam and organic Rankine cycles and an absorption refrigerat...
Important efforts have been made recently to improve environmental quality and diverse environmental management policies have been implemented. Some of these strategies use economic incentives for compliance, such as pollution trading. This paper proposes a mathematical programming model for the pollution trading among different pollution sources;...
This paper presents a new methodology for energy integration of systems that require absorption refrigeration. It allows heat exchange among process hot and cold streams and the integration of excess process heat as well as external utilities provided by solar energy, fossil fuels and biofuels. An optimization formulation is developed to address th...
This paper presents a new mathematical programming approach for including water usage and discharge in the selection of installation sites for industrial facilities. Water integration within the industrial facility as well as interaction of the discharged wastewater with the environment and the surrounding watershed are considered simultaneously th...
Sustainable Design of Integrated Absorption Refrigeration Systems
Luis Fernando Lira-Barragn,a Jos Mara Ortega-Ponce,a Medardo Serna-Gonzlez,a Mahmoud M. El-Halwagib,c
a Universidad Michoacana de San Nicols de Hidalgo, Morelia, Mich., Mxico
b Chemical Engineering Department, Texas A&M University, College Station, TX, USA
c Adjunct Faculty a...
This paper presents a new mathematical programming model for the optimal synthesis of recycle and reuse networks considering simultaneously the integration of the water network system and the surrounding watershed to satisfy process and environmental constraints. The model considers the optimal location of the new industrial facility to integrate i...
This work presents a new mathematical programming model for the optimal integration of an industrial water network and its supporting watershed. In particular, the model determines the optimal location of a new industrial facility considering the sustainable integration of its wastewater discharges with the surrounding watershed through a disjuncti...
This paper presents a new mixed-integer nonlinear programming model for the optimal allocation of a new industrial plant which impacts the water quality throughout a surrounding watershed. In addition to the economic aspects, the optimization approach also accounts for the environmental impact, such that the wastewater streams discharged to the env...
For the location of a new industrial plant usually are considered exclusively economic issues, without considering the environmental impact that the effluents of the new plant may produce over the surrounding water sheds. Once a new plant is installed, the pollution problems produced are identified and there is required to install new equipments to...