Targeting the integration of multi-period utility systems for site scale process integration

Maréchal, François; Kalitventzeff, Boris

doi:10.1016/s1359-4311(03)00142-x

Cited by 81 publications

(61 citation statements)

References 13 publications

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“…This approach combined with the MILP formulation for combined heat and power integration allows one to solve rigorously the problem of site scale integration. The proposed method can also be added to the approach proposed by Maréchal and Kalitventzeff (2003) to solve the multi-period problems for site scale integration.…”

Section: Discussion and Perspectivementioning

confidence: 99%

Energy integration of industrial sites with heat exchange restrictions

Becker

Maréchal

2012

Computers & Chemical Engineering

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Section: Discussion and Perspectivementioning

confidence: 99%

Energy integration of industrial sites with heat exchange restrictions

Becker

Maréchal

2012

Computers & Chemical Engineering

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“…In this respect, several studies on operational studies take uncertainties into account. For instance, Marechal and Kalitventzeff (2003) presented a multi-period targeting approach for energy systems. The proposed multi-period optimisation is used to target utility requirements of an energy system based on varying requirements from a chemical process.…”

Section: And Following Thermal Load (Ftl)mentioning

confidence: 99%

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

Andiappan

2017

Process Integr Optim Sustain

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An energy system is a crucial component in fulfilling the energy requirements of a given industrial process. If not designed appropriately, energy systems may not be able to perform designated operations in an optimised manner. Mathematical optimisation approaches have had a long history in addressing the synthesis of energy systems. Mathematical optimisation approaches are part of a larger domain known as process systems engineering (PSE). The main objective of this review is to provide a state-of-the-art overview of the mathematical optimisation approaches developed, particularly those developed for synthesis of energy systems, including the handling of uncertainty and the optimisation of multiple objectives. Subsequently, the synthesis of energy systems is further discussed on specific areas such as reliability, operability, flexibility and retrofit and eco-industrial parks. Following this, an overall analysis of the contributions in these areas is provided. Finally, future research directions are identified at the end of this review.

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“…Technology models proposed by F.Maréchal [18,19] are developed in this study to simulate energy conversion technologies (ECTs). The main constraints related to the ECTs are:…”

Section: Technical Constraintsmentioning

confidence: 99%

Methods for multi-objective investment and operating optimization of complex energy systems

Fazlollahi

Mandel

Becker

et al. 2012

Energy

152

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The design and operations of energy systems are key issues for matching energy supply and consumption. Several optimization methods based on the mixed integer linear programming (MILP) have been developed for this purpose. However, due to uncertainty of some parameters like market conditions and resource availability, analyzing only one optimal solution with mono objective function is not su cient for sizing the energy system. In this study, a multi-period energy system optimization (ESO) model with a mono objective function is first explained. The model is then developed in a multi-objective optimization perspective to systematically generate a good set of solutions by using integer cut constraints (ICC) algorithm and ✏ constraint. These two methods are discussed and compared. In the next step, the ESO model is reformulated as a multi-objective optimization model with an evolutionary algorithm (EMOO). In this step the model is decomposed into master and slave optimization. Finally developed models are demonstrated by means of a case study comprising six types of conversion technologies, namely, a heat pump, boiler, photovoltaics, as well as a gas turbine, fuel cell and gas engine. Results show that, EMOO is particularly suited for multi-objective optimizations, working with a population of potential solutions, each presenting a di↵erent trade-o↵ between objectives. However, MILP with ICC and ✏ constraint is more suited for generating a small set of ordered solutions with shorter resolution time.

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Targeting the integration of multi-period utility systems for site scale process integration

Cited by 81 publications

References 13 publications

Energy integration of industrial sites with heat exchange restrictions

Energy integration of industrial sites with heat exchange restrictions

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

Methods for multi-objective investment and operating optimization of complex energy systems

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