75 research outputs found
Geothermal contribution to the energy mix of a heating network when using Aquifer Thermal Energy Storage: modeling and application to the Paris basin
International audienceAquifer Thermal Energy Storage (ATES) is a promising solution for reducing the time mismatch between energy production and demand in urban environments, and recent successful experiences suggest that technical issues can be overcome. The Paris area is a priori a favorable region, since there is locally a surplus of heat production during the summer, an appropriate geological reservoir and both existing and projected district heating networks. This article focuses on a remaining issue: estimating the geothermal contribution to the energy mix of a district heating network over time when using an ATES. This result would then enable estimating the fuel cost savings obtained by avoiding the consumption of expensive energies during the winter retrieval. This work considers an ATES made of two reversible wells reaching the Dogger aquifer and providing energy to a new low-temperature district heating network heating 7,500 housing-equivalents. Non-geothermal energy sources with fluctuating prices over time are used for winter peak demand and for summer heat storage. The temperature of brine unloading at the hot and cold wells is simulated and the adequacy of this geothermal system to meet the load is studied in order to evaluate the time dependent energy mix of the network. Results suggest that in average over the 30 years of operation, the ATES delivers 54 GWh per year to the heating system, i.e. a power of 9.5 MW during the 34 unloading winter weeks. The geothermal energy share in the energy mix is 70%, higher than the 50% possible with a conventional geothermal doublet. The ratio of energy delivered by the ATES divided by energy spent for storage reaches 143%, and is only slightly reduced to 137% when the cold storage is located on an existing cold plume created by past geothermal energy operations
Hydraulic and thermal impact modelling at the scale of the geothermal heating doublet in the Paris Basin, France
13 pagesInternational audienceThe Paris Basin is extensively developed for the geothermal district heating (GDH) of approximately 150 000 dwellings. As of late 2010, thirty four GDH systems apply the doublet concept in the Paris suburban area and mine the heat of the Dogger reservoir, a limestone formation of Mid-Jurassic age at depths ranging from 1500 to 2000 m. As the brine is fully reinjected, cold water bodies progressively invade the reservoir around injector wells inducing both thermal and hydraulic interactions at the doublet scale. The premature production well cooling and the sustainable development of the resource highlight two critical parameters, the thermal breakthrough time (tB) and the extent of the cooled fluid bubble(S) respectively. First, a set of benchtest simulations was launched to compare the sensitivities of tB and S parameters to selected reservoir conceptual model typologies. These simulations were applied on a GDH doublet undergoing a suspected thermal breakthrough. Five reservoir modelling teams validated their âin houseâ simulations by (i) checking an analytical (Gringarten-Sauty, 1979) solution, and (ii) testing three candidate reservoir structures on the doublet considered remotely located (i.e. not interfering with nearby exploitations) for a first step. The outcome resulted in a rewarding insight into the variability of simulation outputs. An additional segment will enable the actors to compare their modelling expertise on the same doublet considered in interaction with the other GDH operations located in its environment. Second, BRGM carried out a survey towards various rehabilitation schemes (a new doublet or a triplet) and their contribution toward sustainability standards. From a hypothetical, twenty five year life, doublet simulation, an initial hydraulic/temperature field was derived. Then, several new well locations were simulated and isotherms, alongside production well cooling kinetics, compared accordingly. A two-stage rehabilitation scheme, i.e. triplet then a new doublet, seems to reconcile the resource longevity and the economic demand. Further work is required to compare the different designs with a method integrating both the impact of the geothermal exploitation on the resource and the lifetime of the exploitation in a single mathematical factor
Professional Exposure to Goats Increases the Risk of Pneumonic-Type Lung Adenocarcinoma: Results of the IFCT-0504-Epidemio Study
Pneumonic-type lung adenocarcinoma (P-ADC) represents a distinct subset of lung cancer with specific clinical, radiological, and pathological features. Given the weak association with tobacco-smoking and the striking similarities with jaagsiekte sheep retrovirus (JSRV)-induced ovine pulmonary adenocarcinoma, it has been suggested that a zoonotic viral agent infecting pulmonary cells may predispose to P-ADC in humans. Our objective was to explore whether exposure to domestic small ruminants may represent a risk factor for P-ADC. We performed a multicenter case-control study recruiting patients with P-ADC as cases and patients with non-P-ADC non-small cell lung cancer as controls. A dedicated 356-item questionnaire was built to evaluate exposure to livestock. A total of 44 cases and 132 controls were included. At multivariate analysis, P-ADC was significantly more associated with female gender (Odds-ratio (OR)â=â3.23, 95% confidence interval (CI): 1.32â7.87, pâ=â0.010), never- smoker status (ORâ=â3.57, 95% CI: 1.27â10.00, pâ=â0.015), personal history of extra-thoracic cancer before P-ADC diagnosis (ORâ=â3.43, 95% CI: 1.10â10.72, pâ=â0.034), and professional exposure to goats (ORâ=â5.09, 95% CI: 1.05â24.69, pâ=â0.043), as compared to other subtypes of lung cancer. This case-control suggests a link between professional exposure to goats and P-ADC, and prompts for further epidemiological evaluation of potential environmental risk factors for P-ADC
Opportunistic genomic screening. Recommendations of the European Society of Human Genetics
If genome sequencing is performed in health care, in theory the opportunity arises to take a further look at the data: opportunistic genomic screening (OGS). The European Society of Human Genetics (ESHG) in 2013 recommended that genome analysis should be restricted to the original health problem at least for the time being. Other organizations have argued that âactionableâ genetic variants should or could be reported (including American College of Medical Genetics and Genomics, French Society of Predictive and Personalized Medicine, Genomics England). They argue that the opportunity should be used to routinely and systematically look for secondary findingsâso-called opportunistic screening. From a normative perspective, the distinguishing characteristic of screening is not so much its context (whether public health or health care), but the lack of an indication for having this specific test or investigation in those to whom screening is offered. Screening entails a more precarious benefits-to-risks balance. The ESHG continues to recommend a cautious approach to opportunistic screening. Proportionality and autonomy must be guaranteed, and in collectively funded health-care systems the potential benefits must be balanced against health care expenditures. With regard to genome sequencing in pediatrics, ESHG argues that it is premature to look for later-onset conditions in children. Counseling should be offered and informed consent is and should be a central ethical norm. Depending on developing evidence on penetrance, actionability, and available resources, OGS pilots may be justified to generate data for a future, informed, comparative analysis of OGS and its main alternatives, such as cascade testing
Eosinophilic granulomatosis with polyangiitis (ChurgâStrauss) (EGPA) Consensus Task Force recommendations for evaluation and management
AbstractObjectiveTo develop disease-specific recommendations for the diagnosis and management of eosinophilic granulomatosis with polyangiitis (ChurgâStrauss syndrome) (EGPA).MethodsThe EGPA Consensus Task Force experts comprised 8 pulmonologists, 6 internists, 4 rheumatologists, 3 nephrologists, 1 pathologist and 1 allergist from 5 European countries and the USA. Using a modified Delphi process, a list of 40 questions was elaborated by 2 members and sent to all participants prior to the meeting. Concurrently, an extensive literature search was undertaken with publications assigned with a level of evidence according to accepted criteria. Drafts of the recommendations were circulated for review to all members until final consensus was reached.ResultsTwenty-two recommendations concerning the diagnosis, initial evaluation, treatment and monitoring of EGPA patients were established. The relevant published information on EGPA, antineutrophil-cytoplasm antibody-associated vasculitides, hypereosinophilic syndromes and eosinophilic asthma supporting these recommendations was also reviewed.DiscussionThese recommendations aim to give physicians tools for effective and individual management of EGPA patients, and to provide guidance for further targeted research
A Solve-RD ClinVar-based reanalysis of 1522 index cases from ERN-ITHACA reveals common pitfalls and misinterpretations in exome sequencing
Purpose
Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the âClinVar low-hanging fruitâ reanalysis, reasons for the failure of previous analyses, and lessons learned.
Methods
Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted.
Results
We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency).
Conclusion
The âClinVar low-hanging fruitâ analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock
Simulation numérique d'un doublet géothermique envisagé par le Syndicat d'Agglomération Nouvelle (SAN) Val Maubuée
Modélisation numérique d'un doublet géothermique exploitant le Néocomien ou l'Albien sur le secteur de Plessis-Robinson
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