Optimized operation combining costs, efficiency and lifetime of a hybrid renewable energy system with energy storage by battery and hydrogen in grid-connected applications

García‐Triviño, Pablo; Fernández‐Ramírez, Luis M.; Mena, Antonio José Gil; Llorens-Iborra, Francisco; García-Vázquez, Carlos Andrés; Jurado, Francisco

doi:10.1016/j.ijhydene.2016.09.140

Cited by 84 publications

(20 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, in the model and optimization category, the most common optimization objectives are minimization of both cost and emissions in a multiobjective analysis. Conflicting objectives are demonstrated by a Pareto curve (Pelet et al, ; Sharafi & ELMekkawy, ; Sharafi, ElMekkawy, & Bibeau, ), while particle swarm optimization (García‐Triviño et al, ; Li et al, ; Safari, Ardehali, & Sirizi, ; Sharafi et al, ; Sharafi & ELMekkawy, ; Stoppato, Benato, Destro, & Mirandola, ), mixed‐integer linear programming optimization (Evins et al, ; Harb, Matthes, Wolisz, Streblow, & Müller, ; Majidi, Nojavan, Nourani Esfetanaj, Najafi‐Ghalelou, & Zare, ; Pantaleo, Giarola, Bauen, & Shah, ; Scheubel, Zipperle, & Tzscheutschler, ; Wouters et al, ; Wouters, Fraga, & James, ), fuzzy logic controller (Athari & Ardehali, ; Majidi et al, ; Safari et al, ), and evolutionary algorithm (Ahmadi et al, ; Pelet et al, ) appear as the main optimization methods in use. Some publications propose a novel approach for optimization or modeling/simulation of a system to better account for dynamic system complexities (Maleki, Pourfayaz, & Rosen, ; Pelet et al, ; Petruschke et al, ; Sharafi & ELMekkawy, ; Yang, Xiong, Qiu, Qiu, & Dong, ).…”

Section: Resultsmentioning

confidence: 99%

Matching decentralized energy production and local consumption: A review of renewable energy systems with conversion and storage technologies

Grosspietsch

Saenger

Girod

2019

WIREs Energy & Environment

View full text Add to dashboard Cite

predominantly in decentralized settings located close to consumers. This creates a shift in the energy sector toward decentralized (or distributed) generation with smaller production units (Alanne & Saari, 2006). The primary challenge of using renewable energy technologies, such as wind and solar PV, is their highly intermittent and weather-dependent power output. Therefore, to match generation with load, additional measures for flexibility and balance are required. Such improvements can be provided by decentralized systems, 1 which employ multiple energy carriers 2 in combination with conversion and storage technologies. These combinations allow surplus renewable energy to be stored and converted between different carriers, which can help balance load with demand and thus offer additional flexibility in energy management.Systems of this type have been explored under a broad range of names in various literature publications, which focus on different theoretical and societal concepts (, numerous implementations of such systems already exist and can be observed in practice. After reviewing these energy systems, we have found the gap in the research to be twofold. On the one hand, the extant literature lacks a comprehensive overview of the current state of research on decentralized energy systems combining renewable energy technologies with both conversion and storage technologies. The absence of a systematic literature review can also be attributed partially to the lack of common terminology. On the other hand, it remains unclear what kind of systems are implemented today because current project developments have not yet been thoroughly analyzed and described. Pilot projects provide valuable insights into potential future applications as well as practical experiences and challenges. Therefore, this study aims to fill these gaps by providing an extensive review of the current state of literature and practice for renewable energy sources (RES)-based decentralized energy systems with energy conversion and storage.This work is the first to analyze both literature and practice side-by-side, and to review a broad sample of publications and pilot projects. Our systematic overview of the academic literature is complemented by a database of pilot projects, which includes projects in operation as well as those in the planning stage. We compare literature and projects according to relevant thematic fields to determine general trends and patterns across fields. This study reviews decentralized energy systems across a wide range of application (residential, commercial, island, utility) and scale (tens of kilowatt(s) (kW) to megawatt(s) (MW)). Although the extant literature is multifaceted, three required characteristics limit the technological scope of this study to systems that provide: (a) at least one renewable energy technology, (b) conversion device(s), and therefore multiple energy carriers, and (c) energy storage device(s). | MATERIAL AND METHODSThis section starts by introducing the main categories used to review and an...

show abstract

Section: Resultsmentioning

confidence: 99%

Matching decentralized energy production and local consumption: A review of renewable energy systems with conversion and storage technologies

Grosspietsch

Saenger

Girod

2019

WIREs Energy & Environment

View full text Add to dashboard Cite

show abstract

“…Upon hydrogenation, the carrier compounds become liquid under ambient conditions . Therefore, hydrogen delivery can be realized using conventional energy infrastructure such as gasoline filling stations, tanks, and pipelines . For onboard applications, the hydrogen‐rich LOHCs can be stored and delivered using conventional energy infrastructure such as gasoline filling stations, tanks, and pipelines.…”

Section: Introductionmentioning

confidence: 99%

“…[18,19] Therefore,h ydrogen delivery can be realized using conventional energy infrastructure such as gasoline filling stations,t anks, and pipelines. [20][21][22][23] Foro nboard applications,t he hydrogenrich LOHCs can be stored and delivered using conventional energy infrastructure such as gasoline filling stations,t anks, and pipelines.T he vehicle tank is divided into two parts via a movables eparator:o ne for hydrogenated LOHCs andt he other for dehydrogenated LOHCs.T he storage method based on LOHCs providesastartingp oint for developing very safe and practical technology for large-scale hydrogen storage and delivery,e specially for use in mobile and vehicular applications. [9,24] N-ethylcarbazole (NECZ) was firstly found to enable dehydrogenation under 200 8C.…”

Section: Introductionmentioning

confidence: 99%

Hydrogenation Kinetics of N‐Ethylindole on a Supported Ru Catalyst

et al. 2018

View full text Add to dashboard Cite

With its low melting point of −17.8 °C and gravimetric density of 5.23 wt %, N‐ethylindole is a promising candidate for use as a liquid organic hydrogen carrier (LOHC). Here, the influences of reaction temperature and hydrogen pressure on the hydrogen capacity of N‐ethylindole in the liquid phase are studied. It is found that fully hydrogenated N‐ethylindole can be achieved at 190 °C within 80 min. The hydrogenation of N‐ethylindole over 5 wt % Ru/Al2O3 is found to follow first‐order kinetics with an apparent activation energy of 62.4 kJ mol−1; its rate constant is subsequently derived. The initial rate and turn‐over frequency (TOF) at 160 °C–190 °C are also calculated. The structures of the intermediates during hydrogenation of N‐ethylindole are discussed based on the results of density functional theory calculations. Finally, the hydrogenation mechanism for N‐ethylindole is established.

show abstract

“…As for the planning of ESs, most studies concentrated on the integration of ES and renewable energies [33][34][35][36], ES and flexible demand [37,38], or the cooperation of a variety of ESs in a certain power system [19,22], and few researchers studied the coordination of multiple ESs in EI [24]. Therefore, in the context of EI, this paper optimizes energy storage coordination (ESC) from the perspective of EE and EUE.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Coordination in Energy Internet Based on Multi-Agent Particle Swarm Optimization

Liu

Wei

et al. 2018

Applied Sciences

View full text Add to dashboard Cite

With the rapid development of energy Internet (EI), energy storage (ES), which is the key technology of EI, has attracted widespread attention. EI is composed of multiple energy networks that provide energy support for each other, so it has a great demand for diverse energy storages (ESs). All of this may result in energy redundancy throughout the whole EI system. Hence, coordinating ESs among various energy networks is of great importance. First of all, we put forward the necessity and principles of energy storage coordination (ESC) in EI. Then, the ESC model is constructed with the aim of economic efficiency (EE) and energy utilization efficiency (EUE) respectively. Finally, a multi-agent particle swarm optimization (MAPSO) algorithm is proposed to solve this problem. The calculation results are compared with that of PSO, and results show that MAPSO has good convergence and computational accuracy. In addition, the simulation results prove that EE plays the most important role when coordinating various ESs in EI, and an ES configuration with the multi-objective optimization of EE and EUE is concluded at last.

show abstract

Optimized operation combining costs, efficiency and lifetime of a hybrid renewable energy system with energy storage by battery and hydrogen in grid-connected applications

Cited by 84 publications

References 13 publications

Matching decentralized energy production and local consumption: A review of renewable energy systems with conversion and storage technologies

Matching decentralized energy production and local consumption: A review of renewable energy systems with conversion and storage technologies

Hydrogenation Kinetics of N‐Ethylindole on a Supported Ru Catalyst

Energy Storage Coordination in Energy Internet Based on Multi-Agent Particle Swarm Optimization

Contact Info

Product

Resources

About