Residential cogeneration systems: review of the current technology

Onovwiona, Hycienth I.; Ugursal, V. Ismet

doi:10.1016/j.rser.2004.07.005

Cited by 442 publications

(302 citation statements)

References 8 publications

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“…The relatively new technology of the PEMFC lacks of liability due to limited operational testing for a significant amount of time but o ers great advantages such as low acoustic noise and no vibration [361]. [238,281] Design and development of domestic trigeneration systems Savola et al (2005Savola et al ( , 2007 [315,316] Small scale CHP model development and MINLP formulation maximizing production objectives Wu et al (2006) [361] Review on Combined cooling, heat and power cogeneration systems Onovwiona et al (2006) [263] Technology review on heat and power cogeneration systems Videla et al (2006) [348] Modeling and dynamic simulation of small scale internal combustion based CHP systems Cockroft et al (2006) [78] Assessment of power sources for cogeneration Dorer et al (2009) [92] Energy, environmental and performance studies on PEMFC, SOFC, Stirling engine and internal combustion engine based residential cogeneration Collazos et al (2009) [79] Optimal control with mixed integer formulation and stochastic elements for micro generation in domestic applications Konstantinidis et al…”

Section: Domestic Chp Modelmentioning

confidence: 99%

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

Diangelakis

Pistikopoulos

2017

Computer Aided Chemical Engineering

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Section: Domestic Chp Modelmentioning

confidence: 99%

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

Diangelakis

Pistikopoulos

2017

Computer Aided Chemical Engineering

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“…Any combinations of these ECTs are allowed with six types of available resources (see Table. 2). Economical and technical information were taken from the literature [9,42,43]. As an assumption, the e ciency of biomass and biogas are defined 5% less than the other types with 4 times more maintenance cost.…”

Section: Illustrative Examplementioning

confidence: 99%

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

Fazlollahi

Mandel

Becker

et al. 2012

Energy

150

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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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“…On the other hand, a great number of articles deal with the design and analysis of polygeneration systems [12][13][14][15][16][17], along with their influence on the environment [18,19].…”

Section: Introductionmentioning

confidence: 99%

Energy saving opportunities in heat integrated beverage plant retrofit

Tokos

Pintarič

Glavič

2010

Applied Thermal Engineering

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This paper presents practical applications of mathematical programming for energy integration in a large beverage plant. The opportunities of heat integration between batch operations were analysed by a Mixed Integer Linear Programming (MILP) model, which was slightly modified by considering specific industrial circumstances. The feasibility of combined electricity, heating and cooling production was studied using a simplified MILP model, developed for the selection of an optimal polygeneration system. The superstructure includes cogeneration systems with different prime movers (steam turbine and gas turbine), and a trigeneration system with a back-pressure steam turbine. The proposed heat integration scheme and the selected cogeneration system may improve a company's economic performance and reduce its environmental impact.

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Residential cogeneration systems: review of the current technology

Cited by 442 publications

References 8 publications

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

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

Energy saving opportunities in heat integrated beverage plant retrofit

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