Comparative techno-economic investigation of CCHP combined by GSHP based on response surface methodology

Kazemian, M. E.; Nassab, S. A. Gandjalikhan; Javaran, Ebrahim Jahanshahi

doi:10.1016/j.tsep.2022.101386

Cited by 11 publications

(2 citation statements)

References 43 publications

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“…This method cuts down on the time it takes to figure out the best process parameters for optimizing epoxy output [34]. In addition, RSM has been used to find the optimum conditions for oil extraction, biodiesel fuel, renewable energy, and other applications [33][34][35][36][37].…”

Section: Rsm Applicationsmentioning

confidence: 99%

Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Zaid

Al‐Sharify

Hamzah

et al. 2022

jeasd

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Several chemical and biological processes have been investigated and predicted using Response Surface Methodology (RSM) models. Response Surfaces Methodology is a useful instrument for designing laboratory-scale experiments that optimize and support the research outcomes with statistical analysis. It is a powerful statistical technique for complex variable study systems. The standard optimization (one component at a time) strategy is well-studied. However, it has significant drawbacks, such as requiring more experimental runs and time and failing to reveal the synergistic impact of processing parameters. It is a valuable instrument for process improvement. Recent research has shown, for instance, that RSM successfully optimizes biodiesel in fats and oils generated from diverse feedstocks. According to this study, Response Surface Methodology is the best cost-effective technique for maximizing environmentally friendly and sustainable methods applied to different experimental procedures. The current review reported RSM's application, theory, methodology, advantages, and limitations for different processes using different oil sources.

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Section: Rsm Applicationsmentioning

confidence: 99%

Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Zaid

Al‐Sharify

Hamzah

et al. 2022

jeasd

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“…It was discovered that the coupling system had high sustainability indicators when the heat distribution was 75%. Kazemian et al [11] proposed two high-performance GSHP/CCHP coupling system composition schemes and established optimization models. Using the central composite design method and the statistical optimization method based on the expectation function, respectively, he solved the model and arrive at the best configuration for the two systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization study of CCHP-GSHP-PV-ST system under different climatic zone conditions

Zeng,

Long

2023

J. Phys.: Conf. Ser.

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In this research, a system with multiple energy sources of combined cooling, heating, and power (CCHP)/ground source heat pump (GSHP)/photovoltaic (PV)/solar thermal collector (ST) (CCHP-GSHP-PV-ST system) is constructed. And this system is combined with the operation strategy of following total electric demand, that is, giving priority to meeting the electrical load of the building, the additional power of the coupling system, and the power of driving the GSHP. Therefore, a model for multi-objective optimization of the CCHP-GSHP-PV-ST system based on energy, environment, and economic indicators is established, and the optimization model is resolved using the genetic algorithm. The load simulation of office buildings in representative cities of five climate zones in China (Harbin (severe cold climate), Beijing (cold climate), Kunming (mild climate), Guangzhou (hot summer and warm winter climate), Changsha (hot summer and cold winter climate)) was selected as the basis for coupling system optimization, and the multi-objective optimization study of CCHP-GSHP-PV-ST system under different climate zone conditions was carried out. The findings indicate: (1) Under various climatic zone conditions, the coupling system’s optimized composition varies a little; (2) The multi-energy coupled system of office buildings in Beijing (cold climate) has primary energy saving rates, carbon dioxide emission reduction rates, annual total cost saving rates, and comprehensive performance that are respectively 46.06%, 60.43%, 44.05%, and 50.18% better than the split-production system when compared to other climate zones.

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Techno-economic analysis of combined cooling, heating, and power (CCHP) system integrated with multiple renewable energy sources and energy storage units

Assareh

Dejdar

Ershadi

et al. 2023

Energy and Buildings

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Comparative techno-economic investigation of CCHP combined by GSHP based on response surface methodology

Cited by 11 publications

References 43 publications

Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Optimization of Different Chemical Processes Using Response Surface Methodology- A Review

Multi-objective optimization study of CCHP-GSHP-PV-ST system under different climatic zone conditions

Techno-economic analysis of combined cooling, heating, and power (CCHP) system integrated with multiple renewable energy sources and energy storage units

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