Development and technology status of energy storage in depleted gas reservoirs

Utilizing energy storage in depleted oil and gas reservoirs can improve productivity while reducing power costs and is one of the best ways to achieve synergistic development of"Carbon Peak–Carbon Neutral"and"Underground Resource Utiliza-tion".Starting from the development of Compressed Air Energy Storage(CAES)technology,the site selection of CAES in depleted gas and oil reservoirs,the evolution mechanism of reservoir dynamic sealing,and the high-flow CAES and injection technology are summarized.It focuses on analyzing the characteristics,key equipment,reservoir construction,application scenarios and cost analysis of CAES projects,and sorting out the technical key points and existing difficulties.The devel-opment trend of CAES technology is proposed,and the future development path is scrutinized to provide reference for the research of CAES projects in depleted oil and gas reservoirs.

Large-Scale Carbon Dioxide Storage in Salt Caverns:Evaluation of Operation,Safety,and Potential in China

Underground salt cavern CO_(2) storage(SCCS)offers the dual benefits of enabling extensive CO_(2) storage and facilitating the utilization of CO_(2) resources while contributing the regulation of the carbon market.Its economic and operational advantages over traditional carbon capture,utilization,and storage(CCUS)projects make SCCS a more cost-effective and flexible option.Despite the widespread use of salt caverns for storing various substances,differences exist between SCCS and traditional salt cavern energy storage in terms of gas-tightness,carbon injection,brine extraction control,long-term carbon storage stability,and site selection criteria.These distinctions stem from the unique phase change characteristics of CO_(2) and the application scenarios of SCCS.Therefore,targeted and forward-looking scientific research on SCCS is imperative.This paper introduces the implementation principles and application scenarios of SCCS,emphasizing its connections with carbon emissions,carbon utilization,and renewable energy peak shaving.It delves into the operational characteristics and economic advantages of SCCS compared with other CCUS methods,and addresses associated scientific challenges.In this paper,we establish a pressure equation for carbon injection and brine extraction,that considers the phase change characteristics of CO_(2),and we analyze the pressure during carbon injection.By comparing the viscosities of CO_(2) and other gases,SCCS’s excellent sealing performance is demonstrated.Building on this,we develop a long-term stability evaluation model and associated indices,which analyze the impact of the injection speed and minimum operating pressure on stability.Field countermeasures to ensure stability are proposed.Site selection criteria for SCCS are established,preliminary salt mine sites suitable for SCCS are identified in China,and an initial estimate of achievable carbon storage scale in China is made at over 51.8-77.7 million tons,utilizing only 20%-30%volume of abandoned salt caverns.This paper addresses key scientific and engineering challenges facing SCCS and determines crucial technical parameters,such as the operating pressure,burial depth,and storage scale,and it offers essential guidance for implementing SCCS projects in China.

PLA2G2D and CHIT1: Potential biomarkers for immune infiltration and prognosis in cervical squamous cell carcinoma

Objective:The aim of this study was to identify biomarkers associated with immunity and prognosis in patients with cervical cancer.Materials and methods:Data from patients with cervical squamous cell carcinoma(CESC)were retrieved from the UCSC Xena database and subjected to analysis.Gene sets representing 22 types of immunocytes were acquired,and immunocytes relevant to prognosis were identified.Weighted gene co-expression network analysis(WGCNA)was utilized to identify gene modules associated with prognosis-related immunocytes and to construct immune-related gene markers.Differentially expressed genes were then screened,and the association between immune score and biological function of immune-related gene markers was analyzed.Furthermore,tissue samples from cervical cancer patients in Northeast China were collected to validate the expression of two genes using real-time PCR and immunohistochemistry.Results:This study identified 10 immunocytes significantly correlated with overall survival time in patients.Six gene modules were identified as significantly associated with prognosis-related immunocytes,with gene module 6 showing relevance to all prognosis-related immunocytes.Gene module 6 was related to all prognosis-related immunocytes.Moreover,two genes(including PLA2G2D and CHIT1)were found to be significantly associated with overall survival in cancer patients.Patients with CESC were classified into high and low immune score groups based on the median score of gene markers.Correlation analysis of the immune score and biological function was performed.Immunohistochemistry and real-time PCR results revealed high expression of CHIT1 and PLA2G2D in CESC tumor tissues.Conclusion:PLA2G2D and CHIT1 show promise as biomarkers for evaluating immune infiltration and prognosis in patients with cervical cancer.

Maize cryptochromes 1a1 and 1a2 promote seedling photomorphogenesis and shade resistance in Zea mays and Arabidopsis

Maize growth and development are regulated by light quality,intensity and photoperiod.Cryptochromes are blue/ultraviolet-A light receptors involved in stem elongation,shade avoidance,and photoperiodic flowering.To investigate the function of cryptochrome 1(CRY1) in maize,where it is encoded by Zm CRY1,we obtained two Zm CRY1a genes(Zm CRY1a1 and Zm CRY1a2),both of which share the highest similarity with other gramineous plants,in particular rice CRY1a by phylogenetic analysis.In Arabidopsis,overexpression of Zm CRY1a genes promoted seedling de-etiolation under blue and white light,resulting in dwarfing of mature plants.In seedlings of the maize inbred line Zong 31(Zm CRY1aOE),overexpression of Zm CRY1a genes caused a reduction in the mesocotyl and first leaf sheath lengths due to down-regulation of genes influencing cell elongation.In mature transgenic maize plants,plant height,ear height,and internode length decreased in response to overexpression of Zm CRY1a genes.Expression of Zm CRY1a were insensitive to low blue light(LBL)-induced shade avoidance syndrome(SAS) in Arabidopsis and maize.This prompted us to investigate the regulatory role of the gibberellin and auxin metabolic pathways in the response of Zm CRY1a genes to LBL treatment.We confirmed a link between Zm CRY1a expression and hormonal influence on the growth and development of maize under LBL-induced SAS.These results reveal that Zm CRY1a has a relatively conservative function in regulating maize photomorphogenesis and may guide new strategies for breeding high density-tolerant maize cultivars.

Effects of L-3-n-butylphthalide on caspase-3 and nuclear factor kappa-B expression in primary basal forebrain and hippocampal cultures after beta-amyloid peptide 1-42 treatment

BACKGROUND： L-3-n-butylphthalide （L-NBP） can inhibit phosphorylation of tau protein and reduce the neurotoxicity of beta-amyloid peptide 1-42 （Aβ1-42）. OBJECTIVE： To observe the neuroprotective effects of L-NBP on caspase-3 and nuclear factor kappa-B （NF- K B） expression in a rat model of Alzheimer＇s disease. DESIGN, TIME AND SETTING： A cell experiment was performed at the Central Laboratory of Provincial Hospital affiliated to Shandong University between January 2008 and August 2008. MATERIALS： L-NBP （purity 〉 98%） was provided by Shijiazhuang Pharma Group NBP Pharmaceutical Company Limited. Aβ1-42, 3-[4,5-dimethylthiazolo-2]-2,5 iphenyltetrazolium bromide （MTT）, and rabbit anti-Caspase-3 polyclonal antibody were provided by Cell Signaling, USA; goat anti-choactase and rabbit anti-NF- kB antibodies were provided by Santa Cruz, USA. METHODS： Primary cultures were generated from rat basal forebrain and hippocampal neurons at 17 or 19 days of gestation. The cells were assigned into five groups： the control group, the Aβ1-42 group （2 μmol/L）, the Aβ1-42 ＋ 0.1 μmol/L L-NBP group, the Aβ1-42 ＋ 1 μ mol/L L-NBP group, and the Aβ1-42 ＋ 10μmol/L L-NBP group. The neurons were treated with Aβ1-42 （2 μmol/L） alone or in combination with L-NBP （0.1, 1, 10 μmol/L） for 48 hours. Cells in the control group were incubated in PBS. MAIN OUTCOME MEASURES： Morphologic changes were evaluated using inverted microscopy, viability using the M-I-I- method, and the changes in caspase-3 and NF- k B expression using Western blot. RESULTS： Induction with Aβ1-42 for 48 hours caused cell death and soma atrophy, and increased caspase-3 and NF- K B expression （P 〈 0.05）. L-NBP blocked these changes in cell morphology, decreased caspase-3 and NF- k B expression （P 〈 0.05）, and improved cell viability, especially at the high dose （P 〈 0.05）. CONCLUSION： AI3^-42 is toxic to basal forebrain and hippocampal primary neurons; L-NBP protects against this toxicity and inhibits the induction of caspase-3 and NF- K B expression.

Effect of turbulent fluctuation on the ignition of millimeter particle:Experimental studies and numerical modelling with a new correlation of nusselt number Author links open overlay panel

Understanding the influencing mechanism of turbulent fluctuation on the ignition characteristics of millimeter coal particles is essential.In this work,to study the effect of turbulent fluctuation on ignition time,millimeter coal particles are subjected to a specific flow field,generated in a furnace with symmetric fans.A one-dimensional model with the new proposed correlation and the Ranz-Marshall(R-M)correlation for Nu(Nusselt number)is established to simulate the coal ignition process.In addition,the effects of fan speed,temperature,particle diameter,particle distance and coal type on the ignition time are investigated.It is found that an increase in fan speed from 0 to 3000 rpm leads to a particle Reynolds number Re_(p)increase from 0 to 22.5,and a turbulent particle Reynolds number Re_(t)*increase from 0 to 71.5.With a consideration of the fluctuation effect,the new correlation of Nu gives a better prediction of ignition time compared to the R-M correlation.Moreover,the ignition time is revealed to decrease with an increasing fan speed and an elevating temperature.While the ignition time shows merely an initial boost with enlarging particle distance,it exhibits a linearity with the term of particle diameter dp1.3-1.7 and Reynolds numbers(Nu*/Nu)-0.6(Nu*is turbulent Nusselt number).Based on this relationship,the difference of predicted ignition time is calculated at different Re_(p)and Re_(t)*.It is shown that at low Re_(p)or high Re_(t)*values,the new correlation should substitute for the R-M correlation.

AI in HVAC fault detection and diagnosis:A systematic review

Recent studies show that artificial intelligence(AI),such as machine learning and deep learning,models can be adopted and have advantages in fault detection and diagnosis for building energy systems.This paper aims to conduct a comprehensive and systematic literature review on fault detection and diagnosis(FDD)methods for heating,ventilation,and air conditioning(HVAC)systems.This review covers the period from 2013 to 2023 to identify and analyze the existing research in this field.Our work concentrates explicitly on synthesizing AI-based FDD techniques,particularly summarizing these methods and offering a comprehensive classification.First,we discuss the challenges while developing FDD methods for HVAC systems.Next,we classify AI-based FDD methods into three categories:those based on traditional machine learning,deep learning,and hybrid AI models.Additionally,we also examine physical model-based methods to compare them with AI-based methods.The analysis concludes that AI-based HVAC FDD,despite its higher accuracy and reduced reliance on expert knowledge,has garnered considerable research interest compared to physics-based methods.However,it still encounters difficulties in dynamic and time-varying environments and achieving FDD resolution.Addressing these challenges is essential to facilitate the widespread adoption of AI-based FDD in HVAC.

Progresses on two-phase modeling of proton exchange membrane water electrolyzer

The Proton Exchange Membrane(PEM)water electrolyzer is considered one of the promising energy storing means for harnessing variable renewable energy sources to produce hydrogen.Understanding the internal fluid dynamics,which are often challenging to directly observe experimentally,has prompted the use of numerical models to investigate two-phase flow within PEM water electrolyzers.In this study,we provide a comprehensive review of prior research focusing on two-phase modeling of PEM electrolyzers,encompassing both components at mesoscopic scales and the full electrolyzer at the macroscopic level.We delve into the specifics of various modeling approaches for two-phase flow at different scales and summarize and discuss the current state of the art in the field.Presently,two-phase models for the full electrolyzer predominantly employ a macroscopic homogeneous assumption.However,mesoscopic and microscopic models capable of tracking phase interfaces are limited to components.Challenges persist in integrating various modeling scales into a comprehensive electrolyzer model,particularly in coupling two-phase flow between the channels and porous media.Future efforts should focus on developing multi-scale models and simulating two-phase flow under fluctuating input conditions.Additionally,given the structural similarities between PEM water electrolyzers and PEM fuel cells,we compare and discuss differences in two-phase modeling between the two technologies.This work offers the insights for researchers in the field of modeling of PEM water electrolyzers and even fuel cells.

An overview of application-oriented multifunctional large-scale stationary battery and hydrogen hybrid energy storage system

The imperative to address traditional energy crises and environmental concerns has accelerated the need for energy structure transformation.However,the variable nature of renewable energy poses challenges in meeting complex practical energy requirements.To address this issue,the construction of a multifunctional large-scale stationary energy storage system is considered an effective solution.This paper critically examines the battery and hydrogen hybrid energy storage systems.Both technologies face limitations hindering them from fully meeting future energy storage needs,such as large storage capacity in limited space,frequent storage with rapid response,and continuous storage without loss.Batteries,with their rapid response(<1 s)and high efficiency(>90%),excel in frequent short-duration energy storage.However,limitations such as a self-discharge rate(>1%)and capacity loss(~20%)restrict their use for long-duration energy storage.Hydrogen,as a potential energy carrier,is suitable for large-scale,long-duration energy storage due to its high energy density,steady state,and low loss.Nevertheless,it is less efficient for frequent energy storage due to its low storage efficiency(~50%).Ongoing research suggests that a battery and hydrogen hybrid energy storage system could combine the strengths of both technologies to meet the growing demand for large-scale,long-duration energy storage.To assess their applied potentials,this paper provides a detailed analysis of the research status of both energy storage technologies using proposed key performance indices.Additionally,application-oriented future directions and challenges of the battery and hydrogen hybrid energy storage system are outlined from multiple perspectives,offering guidance for the development of advanced energy storage systems.

Recent techniques on analyses and characterizations of shale gas and oil reservoir

This article offers a comprehensive review focused on the analysis and characterization of shale reservoirs,unconventional hydrocarbon resources that uniquely serve as both the source reservoir for gas and oil,and the rock.To analyze and characterize shale reservoirs,pore structure,rock components and rock mechanical properties are three main factors to analyze.These three main factors are necessary for successful field operations in shale reservoirs.Until now,there are various techniques utilized to characterize these three properties.Therefore,this study delves into the intricacies of shale reservoir's pore structure,rock components and mechanical properties under varying geological conditions,summarizing various techniques utilized to characterize these properties in previous studies.The study also discusses the role of analytical techniques in understanding the complex interactions between kerogen and the surrounding mineral matrix.By providing a summary of various techniques operated on the mentioned three main factors,this paper supplies the effective and optimal technique on analyzing different properties of shale reservoirs.Furthermore,the paper aims to contribute to more effective resource assessment and production optimization in shale reservoirs,offering insights that have significant implications for the future of unconventional hydrocarbon extraction.

Shared mooring systems for offshore floating wind farms: A review

Offshore wind energy,as a form of renewable power,has seen rapid development in recent years.While fixedbottom wind turbines are typically used in water depths less than 50 m,the utilization of floating offshore wind turbines(FOWTs)becomes essential for deeper waters.Secure and effective mooring systems play a crucial role in making FOWTs commercially viable.The concept of a shared mooring system offers an innovative solution for deploying floating wind farms in clusters or arrays,which can reduce overall construction costs for large-scale floating wind farms.It is imperative to optimize the shared mooring arrangement for maximum cost-effectiveness and wind farm stability.However,implementing a shared mooring system introduces complexity to the dynamics of FOWTs,requiring the development of advanced simulation tools to meet modelling requirements.Under the shared mooring arrangement,mooring lines and anchors face more significant challenges,such as chain-seabed interactions,soil cyclic weakening,and anchor out-of-plane loading,which underscore the need for innovative,reliable,and efficient shared anchor designs.This article offers an overview of the current research status on shared mooring systems for floating wind farms,which might serve as a valuable reference for the construction of large-scale floating wind farms worldwide.

Sustainable development of unconventional resources: Analysis of the transient linear flow oriented straight-line analysis technique

On the backdrop of dwindling conventional reserves,unconventional reservoirs have emerged as a pivotal chapter in resource extraction.Despite their challenges,such as low permeability,complex fluid storage,and flow mechanisms,hydraulic fracturing technology has underpinned the development of unconventional reservoirs.Consequently,this has brought about a shift in the sequence of flow regimes,e.g.,the transient radial flow regime has been largely shortened by the lengthy transient linear flow regime due to the low permeability of unconventional reservoirs.Moreover,straight-line analysis(SLA),the simplest technique in rate transient analysis(RTA),is a fundamental and potent tool for swiftly extracting reservoir and hydraulic fracture information,estimating oil and gas reserves,and furnishing crucial initial data for subsequent historical matching processes.However,there is currently a dearth of review papers pertaining to a necessary guide of applying SLA in various transient linear flow(TLF)regimes and different unconventional reservoirs.Hence,this paper commences by elucidating the classification of TLF regimes,commonly used methods for recognizing flow regimes,and the diverse SLA methods used for different TLF regimes.Subsequently,it delves into a discussion of different modification techniques for variable rate/flowing pressure,gas phase,complex reservoir characteristics in unconventional reservoirs,and dynamic drainage area concepts etc.Furthermore,the application of SLA in specific domains,namely core analysis and the flowback period,is described.It culminates by surveying the advancements through an integration of novel technologies to enhance estimation accuracy.The paper also highlights certain drawbacks of current SLA technology and proposes new research directions.Ultimately,this paper would serve as an indispensable resource,offering foundational knowledge for the application of SLA in TLF to promote the production of global unconventional resources in a cost-effective and environmentally sustainable fashion in the face of a climate-resilient world.

Electrocatalytic conversion of methane:Recent progress and future prospects

Methane has gained significant attention due to its abundant reserves and notable greenhouse effect.Electrocatalytic conversion of methane is an efficient and green pathway proceeding under mild conditions.However,the low solubility of methane in aqueous electrolytes imposes mass transfer limitations,leading to low current densities in electrocatalytic reactions and hindering large-scale production.This paper discusses the recent progress in quite a few aspects of electrocatalytic conversion of methane.Firstly,the reaction mechanisms involved in methane electrocatalysis are summarized,including dehydrogenation and C–H bond cleavage mediated by the active species.Next,we discuss how to promote electrochemical methane conversion regarding both the reaction process and mass transfer from the perspective of chemical engineering.Considerable efforts have been done to enhance the reaction process,including developing efficient electrocatalysts and devices.Meanwhile,the enhancement of transport processes via,e.g.improving the solubility of methane and modification on the transport area and distance,also facilitates more efficient methane conversion.Finally,an outlook on future development challenges is provided.

Discovery of potential anti-SARS-CoV-2 drugs based on large-scale screening in vitro and effect evaluation in vivo

The coronavirus disease 2019(COVID-19)pandemic caused by severe acute respiratory syndrome coronavirus 2(SARSCoV-2)is a global crisis.Clinical candidates with high efficacy,ready availability,and that do not develop resistance are in urgent need.Despite that screening to repurpose clinically approved drugs has provided a variety of hits shown to be effective against SARS-CoV-2 infection in cell culture,there are few confirmed antiviral candidates in vivo.In this study,94 compounds showing high antiviral activity against SARS-CoV-2 in Vero E6 cells were identified from 2,580 FDA-approved small-molecule drugs.Among them,24 compounds with low cytotoxicity were selected,and of these,17 compounds also effectively suppressed SARS-CoV-2 infection in He La cells transduced with human ACE2.Six compounds disturb multiple processes of the SARSCoV-2 life cycle.Their prophylactic efficacies were determined in vivo using Syrian hamsters challenged with SARS-CoV-2infection.Seven compounds reduced weight loss and promoted weight regain of hamsters infected not only with the original strain but also the D614G variant.Except for cisatracurium,six compounds reduced hamster pulmonary viral load,and IL-6 and TNF-αm RNAwhen assayed at 4 d postinfection.In particular,sertraline,salinomycin,and gilteritinib showed similar protective effects as remdesivir in vivo and did not induce antiviral drug resistance after 10 serial passages of SARS-CoV-2 in vitro,suggesting promising application for COVID-19 treatment.

Coal decarbonization:A state-of-the-art review of enhanced hydrogen production in underground coal gasification

The world is endowed with a tremendous amount of coal resources,which are unevenly distributed in a few nations.While sustainable energy resources are being developed and deployed,fossil fuels dominate the current world energy consumption.Thus,low-carbon clean technologies,like underground coal gasification(UCG),ought to play a vital role in energy supply and ensuring energy security in the foreseeable future.This paper provides a state-of-the-art review of the world's development of UCG for enhanced hydrogen production.It is revealed that the world has an active interest in decarbonizing the coal industry for hydrogen-oriented research in the context of UCG.While research is ongoing in multiple coal-rich nations,China dominates the world's efforts in both industrial-scale UCG pilots and laboratory experiments.A variety of coal ranks were tested in UCG for enhanced hydrogen output,and the possibilities of linking UCG with other prospective technologies had been proposed and critically scrutinized.Moreover,it is found that transborder collaborations are in dire need to propel a faster commercialization of UCG in an ever-more carbon-conscious world.Furthermore,governmental and financial support is necessary to incentivize further UCG development for large-scale hydrogen production.