Optimisation studies on tri-generation: a review

Ünal, Ali Nadi; Ercan, Seçil; Kayakutlu, Gülgün

doi:10.1002/er.3342

Cited by 29 publications

(18 citation statements)

References 139 publications

(331 reference statements)

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“…-energy integrated approach where a microgrid structure allows for sharing of locally produced electricity and residential tri-generation, combined with an optimised thermal pipeline network, supports a fully integrated thermal supply [4]; -superstructure methodology where each component is treated as a black-box characterised by a set of operational and design parameters, allowing for a model building without the necessity for detailed thermodynamic and electrical analysis [11] (Fig. 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.…”

Section: Methodsmentioning

confidence: 99%

“…Single-objective models make up the majority of developed approaches. Bi-objective optimisation models are still under-represented and predominantly combine an economic and environmental objective [1,[3][4][5]. Approaches for DES design with energy sharing under more than two objectives have only been researched very limitedly, for example, through a weighted-sum approach of economic, technical and environmental indices [6] or through an evolutionary approach [7].…”

Section: Introductionmentioning

confidence: 99%

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

Wouters

Fraga

James

2017

Renew. Energy Environ. Sustain.

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Wouters

Fraga

James

2017

Renew. Energy Environ. Sustain.

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“…Achieving the full potential of polygeneration requires an optimization procedure that simultaneously addresses the two fundamental issues of the synthesis of the plant configuration (what technology types should be installed to produce the required energy services and what are their installed capacity) and the optimal operational strategy (what is the suitable operation load of the technologies and the corresponding consumption of energy resources in each time interval). Optimization models for polygeneration systems have been reviewed by Chicco and Mancarella 9 and Ünal et al, 55 indicating the solution method, the objective function, the timescale, among others. 20,54 This approach involves the definition of a superstructure of potential technologies and the search for a solution to the objective function (eg, minimize total annual cost, minimize total annual CO 2 emissions, and maximize primary energy savings).…”

Section: Multiobjective Synthesis Framework Of Energy Supply Systemsmentioning

confidence: 99%

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

2019

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This paper develops a multiperiod multiobjective optimization procedure to determine the optimal configuration and operational strategy of a trigeneration system assisted with solar-based technologies and thermal energy storage. The optimization model, formulated as mixed integer linear programming problem, incorporates dynamic operating conditions through time-dependent local climatic data, energy resources, energy demands, electricity prices, and electricity CO 2 emission factors. The methodology is applied to a case study of a residential building in Spain. First, the single-objective solutions are obtained, highlighting their fundamental differences regarding the installation of cogeneration (included in the optimal total annual cost solution) and solar-based technologies (included in the optimal total annual CO 2 emissions solution). Then, the Pareto curve is generated, and a decision-making approach is proposed to select the preferred trade-off solutions based on the marginal cost of CO 2 emissions saved. Additionally, sensitivity analyses are performed to investigate the influence of key parameters concerning energy resources prices, investment costs, and rooftop area. The analyses of the trade-off solutions verify the enormous potential for CO 2 emissions reduction, which can reach 32.3% with only 1.1% higher costs by displacing cogeneration in favor of the heat pump and the electric grid. Besides, with a modest cost increase of 7.3%, photovoltaic panels are incorporated, promoting an even greater CO 2 emissions reduction of 45.2%.

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“…This paper presents key indicators (such as the specific costs of EE measures) to obtain better insight into both economic and theoretical potentials for bringing the sector's final energy consumption and carbon dioxide emissions down under different price scenarios. Furthermore, the combined heat and power (CHP) technologies are existing for a long time now; however, modeling and sizing of these systems still hold challenges . The potentials for CHP generation in the studied industrial sector have also been estimated.…”

Section: Introductionmentioning

confidence: 99%

Cost‐effectiveness analysis of energy efficiency measures in the Swiss chemical and pharmaceutical industry

Zuberi

Patel

2018

Int J Energy Res

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Summary Energy efficiency improvement is an effective way of reducing energy demand and CO2 emissions. Although the overall final energy savings potential in chemical industry has been estimated in a few countries, energy efficiency potentials by concrete measures applicable in the sector have been scarcely explored and their associated costs are hardly analyzed. In Switzerland, the production of chemicals and pharmaceuticals exceeds all other industrial sectors in terms of energy use and CO2 emissions, and it accounted for 22% of the total industry's overall final energy demand and 25% of the CO2 emissions related to non‐renewable energy sources in 2016. In this study, the economic potentials for energy efficiency improvement and CO2 emissions reduction in the Swiss chemical and pharmaceutical industry are investigated in the form of energy efficiency cost curves. The economic potential for final energy savings and CO2 abatement based on energy‐relevant investments is estimated at 15% and 22% of the sector's final energy use and fossil fuel‐related CO2 emissions in 2016, respectively. Measures related to process heat integration are expected to play a key role for final energy savings. The economic electricity savings potential by improving motor systems is estimated at 15% of the electricity demand by these systems in 2016. The size of economic potential of energy efficiency improvement across the sector decreases from 15% to 11% for 0.5 times lower final energy prices while the size increases insignificantly for 1.5 times higher final energy prices. The additional power generation potential based on Combined Heat and Power plants is estimated at 14 MW for 2016. This study is a contribution to the so far limited international literature on economic energy efficiency measures applicable in this heterogeneous sector and can support policy development. The results for specific costs of energy efficiency measures can also be adapted to other parts of the world by making suitable adjustments which in return may provide useful insights for decision makers to invest in economically viable clean energy solutions.

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Optimisation studies on tri-generation: a review

Cited by 29 publications

References 139 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

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

Cost‐effectiveness analysis of energy efficiency measures in the Swiss chemical and pharmaceutical industry

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