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Dr. Ivan Kantor
School of Engineering (STI), Ècole Polytechnique Fédérale de Lausanne, EPFL 1951 Sion, Switzerland

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0 Energy
0 Sustainability
0 environment
0 circular economy
0 industrial symbiosis

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Journal article
Published: 28 May 2021 in Energies
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This study investigates the technical and economic feasibility of replacing throttling valves with smale-scale, oil-free turbomachinery in industrial steam networks. This is done from the perspective of the turbomachine, which has to be integrated into a new or existing process. The considered machines have a power range of P=[0.5,,250 kW] and have been designed using real industrial data from existing processes. Design guidelines are developed, which take into account the thermodynamic process as well as engineering aspects of such a turbomachine. The results suggest that steam conditioning prior to heat exchange could be completed by small expanders to produce mechanical work, reducing exergy destruction and improving site-wide energy efficiency compared to throttling valves. Cost estimates for such machines are presented, which serve as a basis for case-specific investment calculations. The resulting payback times of less than 18 months highlight the economic potential such solutions.

ACS Style

Ansgar Weickgenannt; Ivan Kantor; François Maréchal; Jürg Schiffmann. On the Application of Small-Scale Turbines in Industrial Steam Networks. Energies 2021, 14, 3149 .

AMA Style

Ansgar Weickgenannt, Ivan Kantor, François Maréchal, Jürg Schiffmann. On the Application of Small-Scale Turbines in Industrial Steam Networks. Energies. 2021; 14 (11):3149.

Chicago/Turabian Style

Ansgar Weickgenannt; Ivan Kantor; François Maréchal; Jürg Schiffmann. 2021. "On the Application of Small-Scale Turbines in Industrial Steam Networks." Energies 14, no. 11: 3149.

Original research article
Published: 15 April 2020 in Frontiers in Energy Research
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This research presents a mathematical formulation for optimizing integration of complex industrial systems from the level of unit operations to processes, entire plants, and finally to considering industrial symbiosis opportunities between plants. The framework is constructed using mixed-integer linear programming (MILP) which exhibits rapid conversion and a global optimum with well-defined solution methods. The framework builds upon previous efforts in process integration and considers materials and energy with thermodynamic constraints imposed by formulating the heat cascade within the MILP. The model and method which form the fundamentals of process integration problems are presented, considering exchange restrictions and problem formulation across multiple time-scales to provide flexibility in solving complex design, planning, and operational problems. The work provides the fundamental problem formulation, which has not been previously presented in a comprehensive way, to provide the basis for future work, where many process integration elements can be appended to the formulation. A case study is included to demonstrate the capabilities and results for a simple, fictional, example though the framework and method are broadly applicable across scale, time, and plant complexity.

ACS Style

Ivan Kantor; Jean-Loup Robineau; Hür Bütün; François Maréchal. A Mixed-Integer Linear Programming Formulation for Optimizing Multi-Scale Material and Energy Integration. Frontiers in Energy Research 2020, 8, 1 .

AMA Style

Ivan Kantor, Jean-Loup Robineau, Hür Bütün, François Maréchal. A Mixed-Integer Linear Programming Formulation for Optimizing Multi-Scale Material and Energy Integration. Frontiers in Energy Research. 2020; 8 ():1.

Chicago/Turabian Style

Ivan Kantor; Jean-Loup Robineau; Hür Bütün; François Maréchal. 2020. "A Mixed-Integer Linear Programming Formulation for Optimizing Multi-Scale Material and Energy Integration." Frontiers in Energy Research 8, no. : 1.

Journal article
Published: 25 October 2019 in Energies
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The industrial sector has a large presence in world energy consumption and CO2 emissions, which has made it one of the focal points for energy and resource efficiency studies. However, large investments are required to retrofit existing industrial plants, which remains the largest barrier to implementing energy saving solutions. Process integration methods can be used to identify the best investments to improve the efficiency of plants, yet their timing remains to be answered using an optimisation approach. Even more critically, such decisions must also account for future investments to avoid stranded or regretted investments. This paper presents a method incorporating investment planning over long time horizons in the framework of process integration. The time horizon is included by formulating the problem using multiple investment periods. Investment planning is conducted using a superstructure approach, which permits both commissioning and decommissioning of units in the beginning of each period. The method is applied to a large case study, with an industrial cluster neighbouring an urban centre to also explore options of heat integration between industries and cities. Compared to the business-as-usual operation, optimal investment planning improves the operating cost of the system by 27% without budget constraints and 16–26% with constraints on budget and investment periods, which is reflected as an increase in net present value and a decrease in CO2 emissions. In all cases, the operating cost benefits pay off the investment in less than two years. The present work is efficient in finding energy saving solutions based on the interest of industries. This method adds additional perspectives in the decision-making process and is adaptable to various time horizons, budgets and economic constraints.

ACS Style

Hür Bütün; Ivan Kantor; François Maréchal. An Optimisation Approach for Long-Term Industrial Investment Planning. Energies 2019, 12, 4076 .

AMA Style

Hür Bütün, Ivan Kantor, François Maréchal. An Optimisation Approach for Long-Term Industrial Investment Planning. Energies. 2019; 12 (21):4076.

Chicago/Turabian Style

Hür Bütün; Ivan Kantor; François Maréchal. 2019. "An Optimisation Approach for Long-Term Industrial Investment Planning." Energies 12, no. 21: 4076.

Journal article
Published: 29 August 2019 in Energies
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The large potential for waste resource and heat recovery in industry has been motivating research toward increasing efficiency. Process integration methods have proven to be effective tools in improving industrial sites while decreasing their resource and energy consumption; however, location aspects and their impact are generally overlooked. This paper presents a method based on process integration, which considers the location of plants. The impact of the locations is included within the mixed integer linear programming framework in the form of heat losses, temperature and pressure drop, and piping cost. The objective function is selected as minimisation of the total cost of the system excluding piping cost and ϵ -constraints are applied on the piping cost to systematically generate multiple solutions. The method is applied to a case study with industrial plants from different sectors. First, the interaction between two plants and their utility integration are illustrated, depending on the piping cost limit which results in the heat pump and boiler on one site being gradually replaced by excess heat recovered from the other plant. Then, the optimisation of the whole system is carried out, as a large-scale application. At low piping cost allowances, heat is shared through high pressure steam in above-ground pipes, while at higher piping cost limits the system switches toward lower pressure steam sharing in underground pipes. Compared to the business-as-usual operation of the sites, the optimal solution obtained with the proposed method leads to 20% reduction in the overall cost of the system, including the piping cost. Further reduction in the cost is possible using a state of the art method but the technical and economic feasibility is not guaranteed. Thus, the present work provides a tool to find optimal industrial symbiosis solutions under different investment limits on the infrastructure between plants.

ACS Style

Hür Bütün; Ivan Kantor; François Maréchal. Incorporating Location Aspects in Process Integration Methodology. Energies 2019, 12, 3338 .

AMA Style

Hür Bütün, Ivan Kantor, François Maréchal. Incorporating Location Aspects in Process Integration Methodology. Energies. 2019; 12 (17):3338.

Chicago/Turabian Style

Hür Bütün; Ivan Kantor; François Maréchal. 2019. "Incorporating Location Aspects in Process Integration Methodology." Energies 12, no. 17: 3338.

Journal article
Published: 31 July 2019 in Energies
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The residential sector accounts for a large share of worldwide energy consumption, yet is difficult to characterise, since consumption profiles depend on several factors from geographical location to individual building occupant behaviour. Given this difficulty, the fact that energy used in this sector is primarily derived from fossil fuels and the latest energy policies around the world (e.g., Europe 20-20-20), a method able to systematically integrate multi-energy networks and low carbon resources in urban systems is clearly required. This work proposes such a method, which uses process integration techniques and mixed integer linear programming to optimise energy systems at both the individual building and district levels. Parametric optimisation is applied as a systematic way to generate interesting solutions for all budgets (i.e., investment cost limits) and two approaches to temporal data treatment are evaluated: monthly average and hourly typical day resolution. The city center of Geneva is used as a first case study to compare the time resolutions and results highlight that implicit peak shaving occurs when data are reduced to monthly averages. Consequently, solutions reveal lower operating costs and higher self-sufficiency scenarios compared to using a finer resolution but with similar relative cost contributions. Therefore, monthly resolution is used for the second case study, the whole canton of Geneva, in the interest of reducing the data processing and computation time as a primary objective of the study is to discover the main cost contributors. The canton is used as a case study to analyse the penetration of low temperature, CO2-based, advanced fourth generation district energy networks with population density. The results reveal that only areas with a piping cost lower than 21.5 k/100 m2ERA connect to the low-temperature network in the intermediate scenarios, while all areas must connect to achieve the minimum operating cost result. Parallel coordinates are employed to better visualise the key performance indicators at canton and commune level together with the breakdown of energy (electricity and natural gas) imports/exports and investment cost to highlight the main contributors.

ACS Style

Raluca Suciu; Paul Stadler; Ivan Kantor; Luc Girardin; François Maréchal. Systematic Integration of Energy-Optimal Buildings With District Networks. Energies 2019, 12, 2945 .

AMA Style

Raluca Suciu, Paul Stadler, Ivan Kantor, Luc Girardin, François Maréchal. Systematic Integration of Energy-Optimal Buildings With District Networks. Energies. 2019; 12 (15):2945.

Chicago/Turabian Style

Raluca Suciu; Paul Stadler; Ivan Kantor; Luc Girardin; François Maréchal. 2019. "Systematic Integration of Energy-Optimal Buildings With District Networks." Energies 12, no. 15: 2945.

Journal article
Published: 06 June 2019 in Energies
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Industrial operations consume energy and water in large quantities without accounting for potential economic and environmental burdens on future generations. Consumption of energy (mainly in the form of high pressure steam) and water (in the form of process water and cooling water) are essential to all processes and are strongly correlated, which requires development of systematic methodologies to address their interconnectivity. To this end, the subject of heat-integrated water allocation network design has received considerable attention within the research community in recent decades while further growth is expected due to imposed national and global regulations within the context of sustainable development. The overall mathematical model of these networks has a mixed-integer nonlinear programming formulation. As discussed in this work, proposed models in the literature have two main difficulties dealing with heat–water specificities, which result in complex formulations. These difficulties are addressed in this work through proposition of a novel nonlinear hyperstructure and a sequential solution strategy. The solution strategy is to solve three sub-problems sequentially and iteratively generate a set of potential solutions through the implementation of integer cut constraints. The novel mathematical approach also lends itself to an additional innovation for proposing multiple solutions balancing various performance indicators. This is exemplified with both a literature test case and an industrial-scale problem. The proposed solutions address a variety of performance indicators which guides decision-makers toward selecting the most appropriate configuration(s) among a large number of potential possibilities. Results exhibit that despite having a sequential solution strategy, better performance can be reached compared to previous approaches with the additional benefit of providing many potential solutions for further consideration by decision-makers to select the best case-specific solution.

ACS Style

Maziar Kermani; Ivan D. Kantor; François Maréchal. Optimal Design of Heat-Integrated Water Allocation Networks. Energies 2019, 12, 2174 .

AMA Style

Maziar Kermani, Ivan D. Kantor, François Maréchal. Optimal Design of Heat-Integrated Water Allocation Networks. Energies. 2019; 12 (11):2174.

Chicago/Turabian Style

Maziar Kermani; Ivan D. Kantor; François Maréchal. 2019. "Optimal Design of Heat-Integrated Water Allocation Networks." Energies 12, no. 11: 2174.

Journal article
Published: 05 April 2019 in Energies
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Efficient consumption of energy and material resources, including water, is the primary focus for process industries to reduce their environmental impact. The Conference of Parties in Paris (COP21) highlighted the prominent role of industrial energy efficiency in combating climate change by reducing greenhouse gas emissions. Consumption of energy and material resources, especially water, are strongly interconnected and, therefore, must be treated simultaneously using a holistic approach to identify optimal solutions for efficient processing. Such approaches must consider energy and water recovery within a comprehensive process integration framework which includes options such as organic Rankine cycles for electricity generation from low–medium-temperature heat. This work addresses the importance of holistic approaches by proposing a methodology for simultaneous consideration of heat, mass, and power in industrial processes. The methodology is applied to a kraft pulp mill. In doing so, freshwater consumption is reduced by more than 60%, while net power output is increased by a factor of up to six (from 3.2 MW to between 10–26 MW). The results show that interactions among these elements are complex and therefore underline the necessity of such comprehensive methods to explore their optimal integration with industrial processes. The potential applications of this work are vast, extending from total site resource integration to addressing synergies in the context of industrial symbiosis.

ACS Style

Maziar Kermani; Ivan D. Kantor; Anna S. Wallerand; Julia Granacher; Adriano V. Ensinas; François Maréchal. A Holistic Methodology for Optimizing Industrial Resource Efficiency. Energies 2019, 12, 1315 .

AMA Style

Maziar Kermani, Ivan D. Kantor, Anna S. Wallerand, Julia Granacher, Adriano V. Ensinas, François Maréchal. A Holistic Methodology for Optimizing Industrial Resource Efficiency. Energies. 2019; 12 (7):1315.

Chicago/Turabian Style

Maziar Kermani; Ivan D. Kantor; Anna S. Wallerand; Julia Granacher; Adriano V. Ensinas; François Maréchal. 2019. "A Holistic Methodology for Optimizing Industrial Resource Efficiency." Energies 12, no. 7: 1315.

Journal article
Published: 01 December 2018 in Renewable Energy
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ACS Style

Anna S. Wallerand; Maziar Kermani; Régis Voillat; Ivan Kantor; François Maréchal. Optimal design of solar-assisted industrial processes considering heat pumping: Case study of a dairy. Renewable Energy 2018, 128, 565 -585.

AMA Style

Anna S. Wallerand, Maziar Kermani, Régis Voillat, Ivan Kantor, François Maréchal. Optimal design of solar-assisted industrial processes considering heat pumping: Case study of a dairy. Renewable Energy. 2018; 128 ():565-585.

Chicago/Turabian Style

Anna S. Wallerand; Maziar Kermani; Régis Voillat; Ivan Kantor; François Maréchal. 2018. "Optimal design of solar-assisted industrial processes considering heat pumping: Case study of a dairy." Renewable Energy 128, no. : 565-585.

Journal article
Published: 04 November 2018 in Energy
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A Mixed Integer Linear Programming method for the optimal valorisation of regional waste heat, formulated for energy service companies, is proposed in this work. The model provides a framework to simultaneously optimise the multi-period exchange of waste heat between regional thermal sources and sinks, as well as the selection of the backup heating technology. Given the pre-defined cost contributions of the involved sources, the sinks, the heat transport infrastructures and the heating technologies, the configuration is optimised by maximising the system profitability. The approach accounts for variations of temperature levels and heat loads across periods for the same sources and sinks, considers specific energy prices for multiple competing sinks and provides a predesign of the waste heat distribution network considering standard pipe sizes. The method is applied to the southern region of Luxembourg, composed of two steel production plants (heat sources), as well as three factories and nine towns (heat sinks). The impact of the waste heat buying price on the profits, revenues, valorised heat and electricity production quantities is assessed. For prices between 0 and 5 €/MWh, electricity production is a viable solution, while for prices between 0 and 25 €/MWh, the heat can be valorised in the urban systems.

ACS Style

Alexandre Bertrand; Alberto Mian; Ivan Kantor; Riad Aggoune; François Maréchal. Regional waste heat valorisation: A mixed integer linear programming method for energy service companies. Energy 2018, 167, 454 -468.

AMA Style

Alexandre Bertrand, Alberto Mian, Ivan Kantor, Riad Aggoune, François Maréchal. Regional waste heat valorisation: A mixed integer linear programming method for energy service companies. Energy. 2018; 167 ():454-468.

Chicago/Turabian Style

Alexandre Bertrand; Alberto Mian; Ivan Kantor; Riad Aggoune; François Maréchal. 2018. "Regional waste heat valorisation: A mixed integer linear programming method for energy service companies." Energy 167, no. : 454-468.

Book chapter
Published: 04 July 2018 in 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
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Fluctuating energy prices, increasing environmental concerns, and regulations push industries toward more energy efficient plants. Process integration (PI) techniques, proven to be effective in providing solutions with improved energy and material efficiencies often neglect modifications to the heat exchanger network (HEN). HEN design methods have been studied extensively to overcome this drawback of process integration but often still focus on grassroots design to suggest retrofits. This work proposes a method to solve heat load distribution (HLD), a sub problem of HEN design, in the context of retrofit problems. The problem is solved using a mixed integer linear programming (MILP) model with integer cuts (IC) to obtain many retrofit options with high computational speed. The model is built on previously developed methods for PI (Marechal and Kalitventzeff, 2003) and HEN design (Ciric and Floudas, 1989; Mian et al., 2016), such as mathematical programming (MP) and pinch analysis (PA). The objective function of the proposed method is minimisation of the estimated cost of the modifications required in an existing HEN, by considering the costs of repiping, additional heat exchanger area and additional heat exchangers. The estimated area of the potential stream matches is calculated using graphical techniques on the process integration results and taking into account correction factor. The additional heat exchanger area is constrained to practical limits available in the literature. The cost of heat exchanger area is calculated using piece-wise linearization of nonlinear cost functions. Solving the model yields information on stream matches and their heat loads as well as identifying which streams should be repiped and which heat exchangers should be modified or replaced. An industrial case study is solved to show the effectiveness of the proposed method resulting in annualized cost reductions of 9% considering the HEN design alone and 29% with modifications to the utility system to include heat pumping.

ACS Style

Hür Bütün; Ivan Kantor; Alberto Mian; François Maréchal. A Heat Load Distribution Method for Retrofitting Heat Exchanger Networks. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2018, 43, 1395 -1400.

AMA Style

Hür Bütün, Ivan Kantor, Alberto Mian, François Maréchal. A Heat Load Distribution Method for Retrofitting Heat Exchanger Networks. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2018; 43 ():1395-1400.

Chicago/Turabian Style

Hür Bütün; Ivan Kantor; Alberto Mian; François Maréchal. 2018. "A Heat Load Distribution Method for Retrofitting Heat Exchanger Networks." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 43, no. : 1395-1400.

Journal article
Published: 01 June 2018 in Applied Energy
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ACS Style

Anna S. Wallerand; Maziar Kermani; Ivan Kantor; François Maréchal. Optimal heat pump integration in industrial processes. Applied Energy 2018, 219, 68 -92.

AMA Style

Anna S. Wallerand, Maziar Kermani, Ivan Kantor, François Maréchal. Optimal heat pump integration in industrial processes. Applied Energy. 2018; 219 ():68-92.

Chicago/Turabian Style

Anna S. Wallerand; Maziar Kermani; Ivan Kantor; François Maréchal. 2018. "Optimal heat pump integration in industrial processes." Applied Energy 219, no. : 68-92.

Review
Published: 05 May 2018 in Energies
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Industries consume large quantities of energy and water in their processes which are often considered to be peripheral to the process operation. Energy is used to heat or cool water for process use; additionally, water is frequently used in production support or utility networks as steam or cooling water. This enunciates the interconnectedness of water and energy and illustrates the necessity of their simultaneous treatment to improve energy and resource efficiency in industrial processes. Since the seminal work of Savulescu and Smith in 1998 introducing a graphical approach, many authors have contributed to this field by proposing graphically- or optimization-based methodologies. The latter encourages development of mathematical superstructures encompassing all possible interconnections. While a large body of research has focused on improving the superstructure development, solution strategies to tackle such optimization problems have also received significant attention. The goal of the current article is to study the proposed methodologies with special focus on mathematical approaches, their key features and solution strategies. Following the convention of Jeżowski, solution strategies are categorized into: decomposition, sequential, simultaneous, meta-heuristics and a more novel strategy of relaxation/transformation. A detailed, feature-based review of all the main contributions has also been provided in two tables. Several gaps have been highlighted as future research directions.

ACS Style

Maziar Kermani; Ivan D. Kantor; François Maréchal. Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features. Energies 2018, 11, 1158 .

AMA Style

Maziar Kermani, Ivan D. Kantor, François Maréchal. Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features. Energies. 2018; 11 (5):1158.

Chicago/Turabian Style

Maziar Kermani; Ivan D. Kantor; François Maréchal. 2018. "Synthesis of Heat-Integrated Water Allocation Networks: A Meta-Analysis of Solution Strategies and Network Features." Energies 11, no. 5: 1158.

Journal article
Published: 28 March 2018 in Energy
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In recent decades, energy efficiency has become one of the key issues facing large process industries. Mounting economic, environmental and social pressure motivate energy-intensive industries to improve their efficiency. Identifying retrofit opportunities in large-scale problems is extremely complex due to numerous interconnections and dependencies between process units, sub-units and utilities present on most industrial sites. Therefore, when attempting to identify promising retrofit opportunities, methods detecting early design decisions are crucial. Techniques applying heat integration (HI) often use mathematical models and optimization to survey potential solutions. Mixed integer linear programming (MILP) is often used for industrial energy efficiency case studies due to its flexibility, solution speed and guaranteed optimal solution while taking advantage of the extensive bodies of work dedicated to this type of problem. The current work proposes a methodology based on HI and MILP to represent process energy requirements with different heat exchange interfaces. Switching from the current utility interface to an alternative one requires additional heat transfer area while it might bring operational benefits due to better system integration. The optimal combination of the processes with different interfaces is obtained by considering the trade-off between the cost of additional heat exchanger area required and decrease in the operating cost. The proposed method is applied to two industrial case studies which show the added value for HI and impact of the proposed method for reducing the problem size in heat exchanger network (HEN) design. In the first case study, the total cost of the system is reduced by 45% taking into account the cost of the modifications in the existing heat exchangers while in the second case study the computation time of heat load distribution (HLD) is reduced by 78% using the results of optimal interface selection. The proposed method provides early design decisions for retrofit solutions on industrial sites. Utilizing this methodology provides a dual benefit of identifying the most promising options for retrofit applications while also eliminating inconsequential ones at an early stage of the analysis.

ACS Style

Hür Bütün; Ivan Kantor; François Maréchal. A heat integration method with multiple heat exchange interfaces. Energy 2018, 152, 476 -488.

AMA Style

Hür Bütün, Ivan Kantor, François Maréchal. A heat integration method with multiple heat exchange interfaces. Energy. 2018; 152 ():476-488.

Chicago/Turabian Style

Hür Bütün; Ivan Kantor; François Maréchal. 2018. "A heat integration method with multiple heat exchange interfaces." Energy 152, no. : 476-488.

Book chapter
Published: 05 January 2018 in Resource Efficiency of Processing Plants
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Process integration aims at maximizing synergies in a system by using connections between process units and with the energy conversion and waste management systems. This chapter discusses the importance of the process integration approach and its application using optimization techniques to realize the efficient use and conversion of energy and material resources in a process. It presents a generic and concise method for identifying heat recovery options and considers optimal energy conversion integration between industrial processes at different scales with different levels. These methods require adequate and accurate data as well as appropriate indicators to define the resource and energy efficiency of a process to synthesize the optimal process integration. The chapter focuses on the perspectives of mass and energy integration within processes and within plants by optimizing the exchanges and supply of process requirements.

ACS Style

Ivan Kantor; Nasibeh Pouransari; François Maréchal. A Perspective on Process Integration. Resource Efficiency of Processing Plants 2018, 403 -440.

AMA Style

Ivan Kantor, Nasibeh Pouransari, François Maréchal. A Perspective on Process Integration. Resource Efficiency of Processing Plants. 2018; ():403-440.

Chicago/Turabian Style

Ivan Kantor; Nasibeh Pouransari; François Maréchal. 2018. "A Perspective on Process Integration." Resource Efficiency of Processing Plants , no. : 403-440.

Journal article
Published: 01 January 2018 in Applied Thermal Engineering
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ACS Style

Xiaoen Li; Ningling Wang; Ligang Wang; Ivan Kantor; Jean-Loup Robineau; Yongping Yang; François Maréchal. A data-driven model for the air-cooling condenser of thermal power plants based on data reconciliation and support vector regression. Applied Thermal Engineering 2018, 129, 1496 -1507.

AMA Style

Xiaoen Li, Ningling Wang, Ligang Wang, Ivan Kantor, Jean-Loup Robineau, Yongping Yang, François Maréchal. A data-driven model for the air-cooling condenser of thermal power plants based on data reconciliation and support vector regression. Applied Thermal Engineering. 2018; 129 ():1496-1507.

Chicago/Turabian Style

Xiaoen Li; Ningling Wang; Ligang Wang; Ivan Kantor; Jean-Loup Robineau; Yongping Yang; François Maréchal. 2018. "A data-driven model for the air-cooling condenser of thermal power plants based on data reconciliation and support vector regression." Applied Thermal Engineering 129, no. : 1496-1507.

Conference paper
Published: 26 April 2017 in Blockchain Technology and Innovations in Business Processes
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Production data in process industry are proprietary to a company since they are key to the process design and technology expertise. However, data confidentiality restrains industry from sharing results and advancing developments in and across process sectors. Using virtual profiles that simulate the typical operating modes of a given process industry offers an elegant solution for a company to share information with the outside world. This paper proposes a generic methodology to create sector blueprints and applies it to the chemicals industry. It details the profile of a typical chemical site based on essential units and realistic data gathered from existing refineries and chemical plants.

ACS Style

Helene Cervo; Stéphane Bungener; Elfie Méchaussie; Ivan Kantor; Brecht Zwaenepoel; François Maréchal; Greet Van Eetvelde. Virtual Sector Profiles for Innovation Sharing in Process Industry – Sector 01: Chemicals. Blockchain Technology and Innovations in Business Processes 2017, 68, 569 -578.

AMA Style

Helene Cervo, Stéphane Bungener, Elfie Méchaussie, Ivan Kantor, Brecht Zwaenepoel, François Maréchal, Greet Van Eetvelde. Virtual Sector Profiles for Innovation Sharing in Process Industry – Sector 01: Chemicals. Blockchain Technology and Innovations in Business Processes. 2017; 68 ():569-578.

Chicago/Turabian Style

Helene Cervo; Stéphane Bungener; Elfie Méchaussie; Ivan Kantor; Brecht Zwaenepoel; François Maréchal; Greet Van Eetvelde. 2017. "Virtual Sector Profiles for Innovation Sharing in Process Industry – Sector 01: Chemicals." Blockchain Technology and Innovations in Business Processes 68, no. : 569-578.

Journal article
Published: 01 March 2017 in Energy and Buildings
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ACS Style

Ivan Kantor; Ian H. Rowlands; Paul Parker. Aggregated and disaggregated correlations of household electricity consumption with time-of-use shifting and conservation. Energy and Buildings 2017, 139, 326 -339.

AMA Style

Ivan Kantor, Ian H. Rowlands, Paul Parker. Aggregated and disaggregated correlations of household electricity consumption with time-of-use shifting and conservation. Energy and Buildings. 2017; 139 ():326-339.

Chicago/Turabian Style

Ivan Kantor; Ian H. Rowlands; Paul Parker. 2017. "Aggregated and disaggregated correlations of household electricity consumption with time-of-use shifting and conservation." Energy and Buildings 139, no. : 326-339.

Book chapter
Published: 01 January 2017 in Computer Aided Chemical Engineering
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ACS Style

Maziar Kermani; Ayse Dilan Celebi; Anna S. Wallerand; Adriano V. Ensinas; Ivan D. Kantor; François Maréchal. Techno-Economic and Environmental Optimization of Palm-based Biorefineries in the Brazilian Context. Computer Aided Chemical Engineering 2017, 2611 -2616.

AMA Style

Maziar Kermani, Ayse Dilan Celebi, Anna S. Wallerand, Adriano V. Ensinas, Ivan D. Kantor, François Maréchal. Techno-Economic and Environmental Optimization of Palm-based Biorefineries in the Brazilian Context. Computer Aided Chemical Engineering. 2017; ():2611-2616.

Chicago/Turabian Style

Maziar Kermani; Ayse Dilan Celebi; Anna S. Wallerand; Adriano V. Ensinas; Ivan D. Kantor; François Maréchal. 2017. "Techno-Economic and Environmental Optimization of Palm-based Biorefineries in the Brazilian Context." Computer Aided Chemical Engineering , no. : 2611-2616.

Book chapter
Published: 01 January 2017 in Computer Aided Chemical Engineering
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ACS Style

Maziar Kermani; A.S. Wallerand; Ivan Kantor; François Maréchal. A Hybrid Methodology for Combined Interplant Heat, Water, and Power Integration. Computer Aided Chemical Engineering 2017, 1969 -1974.

AMA Style

Maziar Kermani, A.S. Wallerand, Ivan Kantor, François Maréchal. A Hybrid Methodology for Combined Interplant Heat, Water, and Power Integration. Computer Aided Chemical Engineering. 2017; ():1969-1974.

Chicago/Turabian Style

Maziar Kermani; A.S. Wallerand; Ivan Kantor; François Maréchal. 2017. "A Hybrid Methodology for Combined Interplant Heat, Water, and Power Integration." Computer Aided Chemical Engineering , no. : 1969-1974.

Book chapter
Published: 01 January 2017 in Computer Aided Chemical Engineering
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ACS Style

Anna S. Wallerand; Maziar Kermani; Ivan D. Kantor; François Maréchal. General Superstructure Synthesis and Bi-level Solution Strategy for Industrial Heat Pumping. Computer Aided Chemical Engineering 2017, 40, 1159 -1164.

AMA Style

Anna S. Wallerand, Maziar Kermani, Ivan D. Kantor, François Maréchal. General Superstructure Synthesis and Bi-level Solution Strategy for Industrial Heat Pumping. Computer Aided Chemical Engineering. 2017; 40 ():1159-1164.

Chicago/Turabian Style

Anna S. Wallerand; Maziar Kermani; Ivan D. Kantor; François Maréchal. 2017. "General Superstructure Synthesis and Bi-level Solution Strategy for Industrial Heat Pumping." Computer Aided Chemical Engineering 40, no. : 1159-1164.