Multi-objective optimization with thermodynamic analysis of an integrated energy system based on biomass and solar energies

Wang, Jiangjiang; Dong, Fuxiang; Ma, Zherui; Chen, Haiyue; Yan, Rujing

doi:10.1016/j.jclepro.2021.129257

Cited by 44 publications

(8 citation statements)

References 40 publications

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“…We will also consider the realistic constraints of IES, such as the physical thermal characteristics of fluids [58] in hydrogen energy storage. [12] 2021 Biomass + solar energies ATCSR+CDERR+PESR NSGA-II [13] 2020 The upper level is the profits of the supplier, the lower level is the RIESs' welfare.…”

Section: Discussionmentioning

confidence: 99%

“…IES, consisting of REPG, CCHP, HESS and the auxiliary equipment system (AUES), has attracted many scholars. As for the optimization models, a multi-objective model for biomass IES was established to configure capacity to improve the comprehensive performance of energy, economy and environment [12]. The optimization of hybrid REPG was developed to meet the specific daily residential load situation in remote areas [13].…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

2023

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Coupling renewable energy, electric vehicle and hydrogen storage is an effective way for integrated energy systems (IES) to move toward a low-carbon approach. The uncertainties of wind power, PV power and load demand are considered, meanwhile, a ladder-type carbon trading mechanism is designed, and the model is transformed into a deterministic Mixed-integer linear programming (MILP), while the reliability of spinning reserve power is measured by a proper confidence level. Meanwhile, the objective function is constructed based on the optimization strategy of deviation preference, and two objectives are introduced to optimize the annual comprehensive cost and annual carbon emission. The problem is transformed into a MILP and the optimization of the capacity configuration of this IES is performed. The results show that the IES has advantages in economic and environmental performance. The IES has significant advantages in carbon dioxide emission reduction (CDER); meanwhile, EVs show advantages in CDER and charging cost compared to those in the non-IES. Carbon dioxide emissions in IES are only one-fifth of those of conventional distribution system and the CDER effect is noticeable. Moreover, EV charging cost in the IES is relatively lower, while the CDER effect is an order of magnitude better than that of non-IES.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

2023

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“…Optimizing and efficiently operating systems can significantly enhance their performance [24][25][26]. Extensive research has been conducted on the optimization of multi-energy systems (MES), focusing on objectives like energy, economy, and the environment.…”

Section: Introductionmentioning

confidence: 99%

Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System

Liu,

Zhai,

et al. 2023

Applied Sciences

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In pursuit of widespread adoption of renewable energy and the realization of decarbonization objectives, this study investigates an innovative system known as a wind-solar-hydrogen multi-energy supply (WSH-MES) system. This system seamlessly integrates a wind farm, photovoltaic power station, solar thermal power station, and hydrogen energy network at the power grid level. Central to the study is the introduction of a bi-level collaborative optimization model—an innovative algorithmic framework specifically tailored for complex multi-energy systems. This model co-optimizes both the capacity planning of essential system components and their annual load distribution, adeptly navigating the complexities of optimizing capacity and annual load distribution under uncertain energy sources and load conditions. A layered methodology synergistically combines linear programming with an advanced version of non-dominated sorting genetic algorithm-II. When applied to a real-world case study in Zhangbei, China, this approach identifies an optimal system capacity, leading to annual green power generation of 201.56 GW and a substantial reduction of over 173,703 tons of CO2 emissions. An economic analysis further reveals that each 1% reduction in CO2 emissions corresponds to a modest 1.7% increase in the system’s levelized cost of energy. Moreover, a comprehensive exploration of the impacts of various capacity parameters on the WSH-MES system’s performance is conducted. These insights offer invaluable guidance for the large-scale advancement of efficient renewable energy utilization and the attainment of decarbonization targets.

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“…1 Biomass, which is produced from carbon dioxide and water through photosynthesis by plants or microbes, is a clean and renewable resource of carbon with various advantages of abundant reserves, low cost and short generation period. 2 Lignocellulose is the most abundant biomass resource, mainly including cellulose, hemicellulose and lignin. Since the chemical composition of lignocelluloses is complicated, it is difficult to be directly converted into bio-fuels and high-value chemicals without any pre-treatment.…”

Section: Introductionmentioning

confidence: 99%

Highly efficient Ni–Mn/SiO₂catalyst for the selective hydrogenation of biomass-derived levulinic acid to γ-valerolactone under mild conditions

Chen

Zhong

et al. 2023

New J. Chem.

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Multi-objective optimization with thermodynamic analysis of an integrated energy system based on biomass and solar energies

Cited by 44 publications

References 40 publications

Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System

Highly efficient Ni–Mn/SiO₂catalyst for the selective hydrogenation of biomass-derived levulinic acid to γ-valerolactone under mild conditions

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Multi-objective optimization with thermodynamic analysis of an integrated energy system based on biomass and solar energies

Cited by 44 publications

References 40 publications

Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System

Highly efficient Ni–Mn/SiO2catalyst for the selective hydrogenation of biomass-derived levulinic acid to γ-valerolactone under mild conditions

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Product

Resources

About

Highly efficient Ni–Mn/SiO₂catalyst for the selective hydrogenation of biomass-derived levulinic acid to γ-valerolactone under mild conditions