Optimization of an SOFC-based decentralized polygeneration system for providing energy services in an office-building in Tōkyō

Weber, Céline; Maréchal, François; Favrat, Daniel; Kraines, Steven

doi:10.1016/j.applthermaleng.2005.05.031

Cited by 91 publications

(48 citation statements)

References 5 publications

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“…For example, the model could easily be configured to determine the potential benefits of alternate buffer tank capacities, heat exchanger performance characteristics, and burner and heat dump control setpoints. Additionally, it could be used to examine alternative control strategies (e.g., thermal load following) that might minimize the operating cost of the system or maximize the profit of producing electricity while satisfying the house's thermal demands by optimizing the use of the buffering tank that allows a certain decoupling between electricity and thermal demands (e.g., Weber et al [2005]). …”

Section: Example Thermal Resultsmentioning

confidence: 99%

A Model for Simulating the Thermal and Electrical Production of Small-Scale Solid-Oxide Fuel Cell Cogeneration Systems within Building Simulation Programs

2006

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A new model for predicting the thermal and electrical performance of solid-oxide fuel cell (SOFC) cogeneration devices for residential buildings has been developed and demonstrated. This is a system-level model that considers the thermodynamic performance of all components that consume energy and produce the thermal and electrical output of the SOFC-cogeneration device. The model relies heavily upon empirical information that can be acquired from the testing of coherent systems or components and is designed for operation at a time resolution that is in the order of minutes. Hence, it is appropriate for use in whole-building simulation programs,where it can be applied to assess the energy and greenhouse gas emission benefits of this nascent technology.

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Section: Example Thermal Resultsmentioning

confidence: 99%

A Model for Simulating the Thermal and Electrical Production of Small-Scale Solid-Oxide Fuel Cell Cogeneration Systems within Building Simulation Programs

2006

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“…The problem of optimal DER systems operation and sizing has been extensively addressed in literature [4][5][6][7][8][9][10][11]. In particular, a large number of studies propose to tackle the optimization problem implementing two main approaches: (i) a simultaneous or a (ii) two-step 1 method.…”

Section: State Of the Artmentioning

confidence: 99%

Model-based optimization of distributed and renewable energy systems in buildings

Stadler

Ashouri

Maréchal

2016

Energy and Buildings

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In order to fully exploit the potential of renewable energy resources (RERs) for building applications, optimal design and control of the different energy systems is a compelling challenge to address. This paper presents a two-step multi-objective optimization approach to size both thermal and electrical energy systems in regard of thermo-economic performance indicators to suit consumer and grid operator interests. Several utilities such as storage, conversion systems, and RERs are hence modelled and formulated through mixed-integer linear programming. Simultaneously, the algorithm defines the optimal operation strategy, based on a model predictive control structure, for each deterministic unit embedded within the energy management system of the building to meet the different comfort and service requirements.The developed design framework is successfully applied on several energy systems configuration of typical Swiss building types. Different component sizes are analysed, regarding the present investment cost and the self-consumption share. In addition, this paper presents a novel optimal design criteria based on the maximum cost benefits in the view of both the consumer and the distribution network operator.Keywords: Multi-Objective Optimization, Optimal design and control, Distributed Energy System, System Modelling, Complete building simulation Highlights• K-medoids clustering of the input data to improve computational efforts • Advanced thermal modelling by applying discrete control-oriented models of thermo-electrical energy systems and heat cascading. * Corresponding author, Phone Number: +41 21 695 82 60

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“…In [37], a two-level optimization problem is presented for a trigeneration system of an office building with respect to ATC and GHGE. The problem is solved combining EVA for design and LP for OO, for 12 typical days.…”

Section: Introductionmentioning

confidence: 99%

“…GHGE is taken into account via assigned pollution related costs. In [36][37][38], only design and operation variables are considered. In [39], the problem is decomposed.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics

Stojiljković

Blagojević

2014

Energies

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In this paper, a methodology for multi-objective optimization of trigeneration plants is presented. It is primarily applicable to the systems for buildings' energy supply characterized by high load variations on daily, weekly and annual bases, as well as the components applicable for flexible operation. The idea is that this approach should enable high accuracy and flexibility in mathematical modeling, while remaining efficient enough. The optimization problem is structurally decomposed into two new problems. The main problem of synthesis and design optimization is combinatorial and solved with different metaheuristic methods. For each examined combination of the synthesis and design variables, when calculating the values of the objective functions, the inner, mixed integer linear programming operation optimization problem is solved with the branch-and-cut method. The applicability of the exploited metaheuristic methods is demonstrated. This approach is compared with the alternative, superstructure-based approach. The potential for combining them is also examined. The methodology is applied for multi-objective optimization of a trigeneration plant that could be used for the energy supply of a real residential settlement in Niš, Serbia. Here, two objectives are considered: annual total costs and primary energy consumption. Results are obtained in the form of a Pareto chart using the epsilon-constraint method.Energies 2014, 7 8555

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Optimization of an SOFC-based decentralized polygeneration system for providing energy services in an office-building in Tōkyō

Cited by 91 publications

References 5 publications

A Model for Simulating the Thermal and Electrical Production of Small-Scale Solid-Oxide Fuel Cell Cogeneration Systems within Building Simulation Programs

A Model for Simulating the Thermal and Electrical Production of Small-Scale Solid-Oxide Fuel Cell Cogeneration Systems within Building Simulation Programs

Model-based optimization of distributed and renewable energy systems in buildings

Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics

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