Polygeneration as a future sustainable energy solution – A comprehensive review

Jana, Kuntal; Ray, Avishek; Majoumerd, Mohammad Mansouri; Assadi, Mohsen; De, S. K.

doi:10.1016/j.apenergy.2017.05.129

Cited by 166 publications

(40 citation statements)

References 190 publications

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“…Optimization of the process showed an increase in power output of 5-7% compared with conventional simplified unit operation models-a result that illustrates the value of the multi-scale systems engineering approach. Considering that gasification and combustion unit operations centerpieces of several processes, Zitney [118] and Biegler and Lang [215] note the potential of application of high-fidelity models to other coal based energy systems such as the oxy-fuel combustion of pulverized coal for carbon capture [216], integrated gasification fuel cell systems [217], and polygeneration plants [218,219].…”

Section: Designing Novel Conversion Processes For Heterogeneous Feedsmentioning

confidence: 99%

Modeling and Simulation of Energy Systems: A Review

2018

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Energy is a key driver of the modern economy, therefore modeling and simulation of energy systems has received significant research attention. We review the major developments in this area and propose two ways to categorize the diverse contributions. The first categorization is according to the modeling approach, namely into computational, mathematical, and physical models. With this categorization, we highlight certain novel hybrid approaches that combine aspects of the different groups proposed. The second categorization is according to field namely Process Systems Engineering (PSE) and Energy Economics (EE). We use the following criteria to illustrate the differences: the nature of variables, theoretical underpinnings, level of technological aggregation, spatial and temporal scales, and model purposes. Traditionally, the Process Systems Engineering approach models the technological characteristics of the energy system endogenously. However, the energy system is situated in a broader economic context that includes several stakeholders both within the energy sector and in other economic sectors. Complex relationships and feedback effects exist between these stakeholders, which may have a significant impact on strategic, tactical, and operational decision-making. Leveraging the expertise built in the Energy Economics field on modeling these complexities may be valuable to process systems engineers. With this categorization, we present the interactions between the two fields, and make the case for combining the two approaches. We point out three application areas: (1) optimal design and operation of flexible processes using demand and price forecasts, (2) sustainability analysis and process design using hybrid methods, and (3) accounting for the feedback effects of breakthrough technologies. These three examples highlight the value of combining Process Systems Engineering and Energy Economics models to get a holistic picture of the energy system in a wider economic and policy context.

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Section: Designing Novel Conversion Processes For Heterogeneous Feedsmentioning

confidence: 99%

Modeling and Simulation of Energy Systems: A Review

2018

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“…Besides, renewable energy technologies (RETs) based on solar (eg, photovoltaic panels, solar thermal collectors, and hybrid photovoltaic/thermal), wind (eg, wind turbine generator), and biomass (eg, biomass boiler), among others, are increasingly being integrated in polygeneration systems, promoting higher flexibility and energy, economic, and environmental performances. 10,11 Further, thermal energy storage (TES) units are commonly integrated in polygeneration systems to address the nonsimultaneity of energy supply and demand characteristic of cogeneration and intermittent generation, such as solar-based RETs. 10,11 Further, thermal energy storage (TES) units are commonly integrated in polygeneration systems to address the nonsimultaneity of energy supply and demand characteristic of cogeneration and intermittent generation, such as solar-based RETs.…”

Section: Introductionmentioning

confidence: 99%

“…9 There are many ways in which solar energy can be effectively deployed to cover multiple energy demands directly (eg, photovoltaic panels producing electricity; solar thermal collectors producing hot water for space heating [SH]) and/or by coupling to heating/cooling technologies (eg, photovoltaic panels coupled to an electric heat pump for hot water production; solar thermal collectors producing hot water to drive an absorption chiller). 10,11 Further, thermal energy storage (TES) units are commonly integrated in polygeneration systems to address the nonsimultaneity of energy supply and demand characteristic of cogeneration and intermittent generation, such as solar-based RETs. 12,13 For decades, the optimization of polygeneration systems has been promoting economic and environmental benefits in the industrial and district heating sectors.…”

Section: Introductionmentioning

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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“…The important aspects in identifying the optimal design of such systems were the focus of various comprehensive studies [9,10]. These aspects include the technologies [11], performance assessment method, polygeneration supporting mechanisms, energy policies, operating strategies [12], decision-making variables, optimization techniques, optimization in urban application [13], and the modeling approach [4]. These surveys emphasize the necessity of further investigations on multi-criteria assessment and the feasibility study of optimization of complex polygeneration systems, including innovative storage and generation devices and the utilization of multiple fuel sources, including renewable energy [12].…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran

2018

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Design and performance of polygeneration energy systems are highly influenced by several variables, including the climate zone, which can affect the load profile as well as the availability of renewable energy sources. To investigate the effects, in this study, the design of a polygeneration system for identical residential buildings that are located in three different climate zones in Iran has been investigated. To perform the study, a model has previously developed by the author is used. The performance of the polygeneration system in terms of energy, economy and environment were compared to each other. The results show significant energetic and environmental benefits of the implementation of polygeneration systems in Iran, especially in the building that is located in a hot climate, with a high cooling demand and a low heating demand. Optimal polygeneration system for an identical building has achieved a 27% carbon dioxide emission reduction in the cold climate, while this value is around 41% in the hot climate. However, when considering the price of electricity and gas in the current energy market in Iran, none of the systems are feasible and financial support mechanisms or other incentives are required to promote the application of decentralized polygeneration energy systems.

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Polygeneration as a future sustainable energy solution – A comprehensive review

Cited by 166 publications

References 190 publications

Modeling and Simulation of Energy Systems: A Review

Modeling and Simulation of Energy Systems: A Review

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

Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran

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