Design of fuel‐cell micro‐cogeneration systems through modeling and optimization

Ang, Sheila Mae C.; Brett, Dan J. L.; Staffell, Iain; Giarola, Sara; Fraga, Eric S.; Samsatli, Sheila; Brandon, Nigel P.

doi:10.1002/wene.39

Cited by 5 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2); -selection, siting and sizing of units from a generic pool of small-scale, mini and micro units <30 kW which are commercially available and able to exploit local resources (Tab. 1 and [12]); -typical day (24 h) per season over yearly planning horizon.…”

Section: Methodsmentioning

confidence: 99%

A policy-based multi-objective optimisation framework for residential distributed energy system design

Wouters

Fraga

James

2017

Renew. Energy Environ. Sustain.

View full text Add to dashboard Cite

Abstract. Distributed energy systems (DES) are increasingly being introduced as solutions to alleviate conventional energy system challenges related to energy security, climate change and increasing demands. From a technological and economic perspective, distributed energy resources are already becoming viable. The question still remains as to how these technologies and practices can be "best" selected, sized and integrated within consumer areas. To aid decision-makers and enable widespread DES adoption, a strategic superstructure design framework is therefore still required that ensures balancing of multiple stakeholder interests and fits in with liberalised energy system objectives of competition, security of supply and sustainability. Such a design framework is presented in this work. An optimisation-based approach for the design of neighbourhood-based DES is developed that enables meeting their yearly electricity, heating and cooling needs by appropriately selecting, sizing and locating technologies and energy interactions. A pool of poly-generation and storage technologies is hereto considered combined with local energy sharing between participating prosumers through thermal pipeline design and microgrid operation, and, a bi-directional connection with the central distribution grid. A superstructure mixed-integer linear programming approach (MILP) is proposed to trade off three minimisation objectives in the design process: total annualised cost, annual CO 2 emissions and electrical system unavailability, aligned with the three central energy system objectives. The developed model is applied on a small South Australian neighbourhood. The approach enables identifying "knee-point" neighbourhood energy system designs through Pareto trade-offs between objectives and serves to inform decision-makers about the impact of policy objectives on DES development strategies.

show abstract

Section: Methodsmentioning

confidence: 99%

A policy-based multi-objective optimisation framework for residential distributed energy system design

Wouters

Fraga

James

2017

Renew. Energy Environ. Sustain.

View full text Add to dashboard Cite

show abstract

“…Constraint of maximum number of starts and stops of the FC per day : n startÀstop ≤N max (13) where:…”

Section: Objective Constrainsmentioning

confidence: 99%

“…This paper presents an automated control technique for optimizing the performance of distributed FCs within the residential homes. The management of FC operation necessitates an accurate and flexible economic model to enable expressing the investigated problem [13]. In this paper, the problem is formulated as a nonlinear-constrained optimization problem that is solved using GA technique.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligent-based optimization of automated home energy management systems

Elkazaz

Hoballah

Azmy

2016

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

SUMMARYWith the tendency to move toward automated home energy management systems, the cooperative capacity of the smart grid "SG" became more and more significant. Distributed generation "DG", in addition to the novel patterns of electricity production, enabled the two-way energy flow. The concern of this paper is on introducing an automated control technique for optimizing the operational performance of the DG units within the residential applications. This problem is formulated in a constrained-nonlinear optimization structure based on a detailed economic system. Genetic algorithm "GA" technique is used to solve this problem by defining the optimal settings of the DG units. Availability of two-way communication and the use of smart meters will enable online implementation and facilitate data collection within a fully automated system. Based on certain tariffs and realistic load curves, many scenarios of operation are analyzed and assessed. The results show that using optimization technique in cooperative with advanced smart meters can enhance the economic situation of the overall grid significantly.

show abstract

Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration

2015

Self Cite

View full text Add to dashboard Cite

Design of fuel‐cell micro‐cogeneration systems through modeling and optimization

Cited by 5 publications

References 15 publications

A policy-based multi-objective optimisation framework for residential distributed energy system design

A policy-based multi-objective optimisation framework for residential distributed energy system design

Artificial intelligent-based optimization of automated home energy management systems

Options for residential building services design using fuel cell based micro-CHP and the potential for heat integration

Contact Info

Product

Resources

About