Optical modeling of four Fresnel-based high-CPV units

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recordHigh Concentrator Photovoltaic (HCPV) units are typically based on the use of Fresnel lenses, refractive secondary optical elements (SOE), and triple-junction (TJ) solar cells. In this work, a detailed optical modeling is applied to analyze the performance of four Fresnel-based HCPV units equipped with different refractive SOEs while considering the subcells current density generation. Wavelength-dependent material properties are utilized while simulating the optical performance. The spectral response of a typical TJ solar cell is also included. This modeling allows to establish the subcell current limitation and the spectral matching ratio, SMR, values in each case. The following SOEs have been used for simulating the HCPV units: (i) Dielectric-cross compound-parabolic-concentrator (DCCPC), (ii) (SIngle-Lens-Optical element) SILO-Pyramid, (iii) Refractive truncated pyramid (RTP) and, (iv) Trumpet. Results show that the HCPV units with SOEs RTP and Trumpet, exhibit bottom subcell current limitation and lowest optical polychromatic efficiency, this is partly due to the irradiance absorption in the bottom cell spectral region and longer optical path length of the concentrated rays within the SOE material. In the case of the HCPV unit with the DCCPC SOE, top and bottom subcells limit the current generation alternatively depending on the misalignment angle of the HCPV unit respect to the simulated sunrays. None of the SMR parameters are equal to 1 under normal alignment of the HCPV units. The short-circuit current density distributions for each subcell in each case are studied under normal alignment and under 1° of misalignment angle.European Regional Development Fund (ERDF) and Spanish Economy Ministry (ENE2013-45242-R and ENE2016-78251-R); Universidad de Jaén (UJA) and Caja Rural de Jaén (UJA2015/07/01). Financial support provided by the Universidad de Jaén Doctoral School

Design and characterization of refractive secondary optical elements for a point-focus Fresnel lens-based high CPV system

This is the final version of the article. Available from AIP Publishing via the DOI in this record.Point-focus Fresnel lens-based High Concentrator Photovoltaic (HCPV) systems are usually equipped with refractive secondary optical elements (SOE) in order to improve their performance. Two basic SOE designs are optically modeled and simulated in this work: Domed-Kaleidoscope (D-K) with breaking-symmetry top and SILO (SIngle-Lens-Optical element). Wavelength-dependent optical material properties like refractive index and absorption coefficient, as well as the spectral response of a typical triple-junction (TJ) solar cell, are included in the ray tracing simulations. Moreover, using a CPV Solar Simulator "Helios 3198", both HCPV units are experimentally characterized. The acceptance angle characteristics of both HCPV units, obtained through optical simulations and through indoor characterization, are compared. The acceptance angle characteristic is better for the HCPV unit with the D-K SOE both in simulations and in experimental measurements, showing concordance between simulation and experiment. However, simulation results underestimate the experimental ones concerning the acceptance angle, which will be investigated in future works.European Regional Development Fund (ERDF) and Spanish Economy Ministry (ENE2013-45242-R and ENE2016-78251-R); Universidad de Jaén (UJA) and Caja Rural de Jaén (UJA2015/07/01). Financial support provided by the Universidad de Jaén Doctoral School. The authors also thank Lambda Research Corporation for its donation of TracePro optical software

Rheumatoid arthritis response to treatment across IgG1 allotype - anti-TNF incompatibility: a case-only study.

INTRODUCTION: We have hypothesized that incompatibility between the G1m genotype of the patient and the G1m1 and G1m17 allotypes carried by infliximab (INX) and adalimumab (ADM) could decrease the efficacy of these anti-tumor necrosis factor (anti-TNF) antibodies in the treatment of rheumatoid arthritis (RA). METHODS: The G1m genotypes were analyzed in three collections of patients with RA totaling 1037 subjects. The first, used for discovery, comprised 215 Spanish patients. The second and third were successively used for replication. They included 429 British and Greek patients and 393 Spanish and British patients, respectively. Two outcomes were considered: change in the Disease Activity Score in 28 joint (ΔDAS28) and the European League Against Rheumatism (EULAR) response criteria. RESULTS: An association between less response to INX and incompatibility of the G1m1,17 allotype was found in the discovery collection at 6 months of treatment (P = 0.03). This association was confirmed in the replications (P = 0.02 and 0.08, respectively) leading to a global association (P = 0.001) that involved a mean difference in ΔDAS28 of 0.4 units between compatible and incompatible patients (2.3 ± 1.5 in compatible patients vs. 1.9 ± 1.5 in incompatible patients) and an increase in responders and decrease in non-responders according to the EULAR criteria (P = 0.03). A similar association was suggested for patients treated with ADM in the discovery collection, but it was not supported by replication. CONCLUSIONS: Our results suggest that G1m1,17 allotypes are associated with response to INX and could aid improved therapeutic targeting in RA

Composition, potential emissions and agricultural value of pig slurry from Spanish commercial farms

[EN] Pig slurry is a valuable fertilizer for crop production but at the same time its management may pose environmental risks. Slurry samples were collected from 77 commercial farms of four animal categories (gestating and lactating sows, nursery piglets and growing pigs) and analyzed for macronutrients, micronutrients, heavy metals and volatile fatty acids. Emissions of ammonia (NH3) and biochemical methane potential (BMP) were quantified. Slurry electrical conductivity, pH, dry matter content and ash content were also determined. Data analysis included an analysis of correlations among variables, the development of predictionmodels for gaseousemissions and the analysis of nutritional content of slurries for crop production. Descriptive information is provided in this work and shows a wide range of variability in all studied variables. Animal category affected some physicochemical parameters, probably as a consequence of different slurry management and use of cleaning water. Slurries from gestating sows and growing pigs tended to be more concentrated in nutrients, whereas the slurry from lactating sows and nursery piglets tended to be more diluted. Relevant relationships were found among slurry characteristics expressed in fresh basis and gas emissions. Predictivemodels using on-farmmeasurable parameterswere obtained forNH3 (R2 = 0.51) andCH4 (R2 = 0.76), which suggests that BMP may be estimated in commercial farms from easily determined slurry characteristics. Finally, slurry nutrient composition was highly variable. Therefore, complete analyses of slurries should be performed for an effective and environmental friendly land application.This project was funded by the Spanish Ministry of Science and Innovation (AGL2011-30023) and the Valencian Government (ACOMP/2013/118). We thank the BABEL Project, Building Academic Bonds between Europe and Latin America. Erasmus Mundus Programme Action 2 for PhD fellowships. The translation of this paper was funded by the Universitat Politecnica de Valencia, Spain.Antezana-Julian, WO.; Blas, CD.; García-Rebollar, P.; Rodríguez, C.; Beccaccia, A.; Ferrer Riera, P.; Cerisuelo, A.... (2016). Composition, potential emissions and agricultural value of pig slurry from Spanish commercial farms. Nutrient Cycling in Agroecosystems. 104(2):159-173. https://doi.org/10.1007/s10705-016-9764-3S1591731042Aarnink AJA, Verstegen MWA (2007) Nutrition, key factor to reduce environmental load from pig production. Livest Sci 109(1–3):194–203Abubaker J, Risberg K, Jönsson E, Dahlin A S, Cederlund H, Pell M (2015) Short-term effects of biogas digestates and pig slurry application on soil microbial activity. Appl Environ Soil Sci. Article ID 658542: 1–15Adekunle KF, Okolie JA (2015) A review of biochemical process of anaerobic digestion. Adv Biosci Biotechnol 6:205–212Angelidaki I, Alves M, Bolzonella D, Borzacconi L, Campos JL, Guwy J, Kalyuzhnyi S, Jenicek P, Van Lier JB (2009) Defining the biomethane potential (BMP) of solid organic wastes and energy crops: a proposed protocol for batch assays. Water Sci Technol 59(5):927–934Antezana W, Calvet S, Beccaccia A, Ferrer P, De Blas C, García-Rebollar P, Cerisuelo A (2015) Effects of nutrition on digestion efficiency and gaseous emissions from slurry in growing pigs: III. Influence of varying the dietary level of calcium soap of palm fatty acids distillate with or without orange pulp supplementation. Anim Feed Sci Technol 209:128–136APHA (2005) Standard methods for the examination of water and wastewater. Centennial, BaltimoreBai ZH, Qin W, Chen Q, Oenema O, Zhang FS (2014) Changes in pig production in china and their effects on nitrogen and phosphorus use and losses. Environ Sci Technol 48:12742–12749Beccaccia A, Ferrer P, Ibáñez MA, Estellés F, Rodríguez C, Moset V, De Blas C, Calvet S, García-rebollar P (2015) Relationships among slurry characteristics and gaseous emissions at different types of commercial spanish pig farms. Span J Agric Res 13(1):1–15Conn KL, Topp E, Lazarovits G (2007) Factors influencing the concentration of volatile fatty acids, ammonia, and other nutrients in stored liquid pig manure. J Environ Qual 36(2):440–447Diacono M, Montemurro F (2010) Long-term effects of organic amendments on soil fertility. A review. Agron Sustain Dev 30:401–422. doi: 10.1051/agro/2009040Díez JA, Hernaiz P, Muñoz MJ, Torre A, Vallejo A (2006) Impact of pig slurry on soil properties, water salinization, nitrate leaching and crop yield in a four-year experiment in Central Spain. Soil Use Manag 20(4):444–450Dourmad J-Y, Jondreville C (2007) Impact of nutrition on nitrogen, phosphorus, Cu and Zn in pig manure, and on emissions of ammonia and odours. Livest Sci 112(3):192–198EUROSTAT (2015) Pig farming sector—statistical portrait. Pig Farming in the European Union: considerable variations from one member state to another. Statistics in Focus 15/2014. Author: Pol Marquer, Teresa Rabade, Roberta Forti ISSN:2314-9647, Catalogue number: KS-SF-14-015-EN-NFangueiro D, Lopes C, Surgy S, Vasconcelos E (2012a) Effect of the pig slurry separation techniques on the characteristics and potential availability of N to plants in the resulting liquid and solid fractions. Biosyst Eng 113(2):187–194Fangueiro D, Ribeiro H, Vasconcelos E, Coutinho J, Cabral F (2012b) Influence of animal slurries composition and relative particle size fractions on the C and N mineralization following soil incorporation. Biomass Bioenergy 47:50–51Ferrer P, Cambra-López M, Cerisuelo A, Peñaranda D, Moset V (2014) The use of agricultural substrates to improve methane yield in anaerobic co-digestion with pig slurry: effect of substrate type and inclusion level. Waste Manag 34:196–203Galassi G, Colombini S, Malagutti L, Crovetto GM, Rapetti L (2010) Effects of high fibre and low protein diets on performance, digestibility, nitrogen excretion and ammonia emission in the heavy pig. Anim Feed Sci Technol 161:3–4Gopalan P, Jensen PD, Batstone DJ (2013) Anaerobic digestion of swine effluent: impact of production stages. Biomass Bioenergy 48:121–129Hernández D, Fernández JM, Plaza C, Polo A (2007) Water-soluble organic matter and biological activity of a degraded soil amended with pig slurry. Sci Total Environ 378:101–103Hernández D, Polo A, Plaza C (2013) Long-term effects of pig slurry on barley yield and N use efficiency under semiarid mediterranean conditions. Eur J Agron 44:47–86Hristov AN, Oh J, Lee C, Meinen R, Montes F, Ott T, Firkins J, Rotz A, Dell C, Adesogan A, Yang W, Tricarico J, Kebreab E, Waghorn G, Dijkstra J, Oosting S (2013) Mitigation of greenhouse gas emissions in livestock production—A review of technical options for non-CO2 emissions. In: Gerber PJ, Henderson B, Makkar HPS (eds) FAO Animal Production and Health Paper No. 177. FAO, RomeIguácel F, Yagüe MR, Betrán J, Orús F (2011) Ensayos de Fertilización Con Purín Porcino, En Cereales de Invierno de Secano, Dirección General de Desarrollo Rural, Centro de Transferencia Agroalimentaria, Gobierno de Aragón. Informe Técnico 226:15Jarret G, Cerisuelo A, Peu P, Martinez J, Dourmad JY (2012) Impact of pig diets with different fibre contents on the composition of excreta and their gaseous emissions and anaerobic digestion. Agric Ecosyst Environ 160:51–58Jouany JP (1982) Volatile fatty acid and alcohol determination in digestive contents, silage juices, bacterial cultures and anaerobic fermentor contents. Sci Alimen 2:131–144Krupa SV (2003) Effects of atmospheric ammonia (NH3) on terrestrial vegetation: a review. Environ Pollut 124(2):179–221Mantovi P, Fumagalli L, Beretta GP, Guermandi M (2006) Nitrate leaching through the unsaturated zone following pig slurry applications. J Hydrol 316:1–4Martínez-Suller L, Azzellino A, Provolo G (2008) Analysis of livestock slurries from farms across Northern Italy: relationship between indicators and nutrient content. Biosyst Eng 99(4):540–552Moral R, Moreno-Caselles J, Perez-Murcia MD, Perez-Espinosa A, Rufete B, Paredes C (2005a) Characterisation of the organic matter pool in manures. Bioresour Technol 96(2):153–158Moral R, Perez-Murcia MD, Perez-Espinosa A, Moreno-Caselles J, Paredes C (2005b) Estimation of nutrient values of pig slurries in Southeast Spain using easily determined properties. Waste Manag 25(7):719–725Moral R, Perez-Murcia MD, Perez-Espinosa A, Moreno-Caselles J, Paredes C, Rufete B (2008) Salinity, organic content, micronutrients and heavy metals in pig slurries from South-Eastern Spain. Waste Manag 28(2):367–371Morazán H, Alvarez-Rodriguez J, Seradj AR, Balcells J, Babot D (2015) Trade-offs among growth performance, nutrient digestion and carcass traits when feeding low protein and/or high neutral-detergent fiber diets to growing-finishing pigs. Anim Feed Sci Technol 207:168–180Moset V, Cambra-López M, Estellés F, Torres AG, Cerisuelo A (2012) Evolution of chemical composition and gas emissions from aged pig slurry during outdoor storage with and without prior solid separation. Biosyst Eng 111(1):2–10Ndegwa PM, Vaddella VK, Hristov N, Joo HS (2009) Measuring concentrations of ammonia in ambient air or exhaust air stream using acid traps.  J Environ Qual 38(2):647–653Nicholson FA, Chambers BJ, Williams JR, Unwin RJ (1999) Heavy metal contents of livestock feeds and animal manures in England and Wales. Bioresour Technol 70(1):23–31Olusegun OS (2014) Influence of NPK 15-15-15 Fertilizer and Pig Manure on Nutrient Dynamics and Production of Cowpea, Vigna unguiculata L. Walp. Am J Agric For 2(6):267Parera i Pous J, Olivé D, Mallol Nabot C, Torrijos NC (2010) Adaptación Del Uso de La Conductividad Eléctrica (CE) Para Determinar de Forma Rápida El Contenido En Nutrientes Del Purín Porcino En Catalunya. International Workshop on Anaerobic Digestion of Slaughterhouse Waste, pp 67–76Patience JF, Gould SA, Koehler D, Corrigan B, Elsbernd A, Holloway CL (2015) Super-dosed phytase improves rate and efficiency of gain in nursery pigs. Anim Ind Rep AS 661:98Penha HG, Menezes JF, Silva CA, Lopes G, Carvalho CA, Ramos SJ, Guilherme LRG (2015) Nutrient accumulation and availability and crop yields following long-term application of pig slurry in a Brazilian Cerrado soil. Nutr Cycl Agroecosyst 101(2):259–269Popovic O, Jensen LS (2012) Storage temperature affects distribution of carbon, VFA, ammonia, phosphorus, copper and zinc in raw pig slurry and its separated liquid fraction. Water Res 46(12):3849–3858Provolo G, Martínez-Suller L (2007) In situ determination of slurry nutrient content by electrical conductivity. Bioresour Technol 98(17):3235–3242Sánchez M, González JL (2005) The fertilizer value of pig slurry. I. Values depending on the type of operation. Bioresour Technol 96(10):1117–1123SAS Institute (2008) SAS/STAT User´s guide, v 9.3. SAS Institute Inc., CarySchoumans OF, Chardon WJ, Bechmann ME, Gascuel-Odoux C, Hofman G, Kronvang B, Rubæk HG, Ulén B, Dorioz JM (2014) Mitigation options to reduce phosphorus losses from the agricultural sector and improve surface water quality: a review. Sci Total Environ 468–469:1255–1266Schröder JJ, Cordell D, Smit AL, Rosemarin A (2010) Sustainable use of phosphorus. Plant Research International Wageningen UR. Report 357Scotford IM, Cumby TR, White RP, Carton OT, Lorenz F, Hatterman U, Provolo G (1998) Estimation of the nutrient value of agricultural slurries by measurement of physical and chemical properties. J Agric Eng Res 71(3):291–305Snoek DJW, Johannes DS, Ogink NWM, Koerkamp PWGG (2014) Sensitivity analysis of mechanistic models for estimating ammonia emission from dairy cow urine puddles. Biosyst Eng 121:12–24Suresh A, Choi HL, Oh DI, Moon OK (2009) Prediction of the nutrients value and biochemical characteristics of swine slurry by measurement of EC—electrical conductivity. Bioresour Technol 100:4683–4689Thygesen O, Triolo JM, Sommer SG (2012) Indicators of physical properties and plant nutrient content of animal slurry and separated slurry. Biol Eng Trans 5(3):123–135Triolo JM, Sommer SG, Møller HB, Weisbjerg MR, Jiang XY (2011) A new algorithm to characterize biodegradability of biomass during anaerobic digestion: influence of lignin concentration on methane production potential. Bioresour Technol 102:9395–9402Van Duivenbooden N, de Wit CT, Van Keulen H (1996) Nitrogen, phosphorus and potassium relations in five major cereals reviewed in respect to fertilizer recommendations using simulation modelling. Fertil Res Wagening 44:37–49Viguria M, Sanz-Cobeña A, López DM, Arriaga H, Merino P (2015) Ammonia and greenhouse gases emission from impermeable covered storage and land application of cattle slurry to bare soil. Agric Ecosyst Environ 199:261–271Villamar CA, Canuta T, Belmonte M, Vidal G (2012) Characterization of swine wastewater by toxicity identification evaluation methodology (TIE). Water Air Soil Pollut 223(1):363–369Villamar CA, Rodríguez DC, López D, Peñuela G, Vidal G (2013) Effect of the generation and physical–chemical characterization of swine and dairy cattle slurries on treatment technologies. Waste Manage Res 31(8):820–828Villar MC, Petrikova V, Díaz-Raviña M, Carballas T (2004) Recycling of organic wastes in burnt soils: combined application of poultry manure and plant cultivation. Waste Manage 24(4):365–370Webb J, Menzi H, Pain BF, Misselbrook TH, Dämmgen U, Hendriks H, Döhler H (2005) Managing ammonia emissions from livestock production in Europe. Environ Pollut 135:399–406Webb J, Broomfield M, Jones S, Donovan B (2014) Ammonia and odour emissions from UK pig farms and nitrogen leaching from outdoor pig production. Sci Total Environ 470:865–875Weiland P (2010) Biogas production: current state and perspectives. Appl Microbiol Biotechnol 85:849–860Yagüe MR, Bosch-Serra AD, Boixadera J (2012) Measurement and estimation of the fertiliser value of pig slurry by physicochemical models: usefulness and constraints. Biosyst Eng 111(2):206–216Zhang W, Wei Q, Wu S, Qi D, Li W, Zuo Z, Dong R (2014) Batch anaerobic co-digestion of pig manure with dewatered sewage sludge under mesophilic conditions. Appl Energy 128:175–18

Combined measurement of differential and total cross sections in the H → γγ and the H → ZZ* → 4ℓ decay channels at s=13 TeV with the ATLAS detector

A combined measurement of differential and inclusive total cross sections of Higgs boson production is performed using 36.1 fb−1 of 13 TeV proton–proton collision data produced by the LHC and recorded by the ATLAS detector in 2015 and 2016. Cross sections are obtained from measured H→γγ and H→ZZ*(→4ℓ event yields, which are combined taking into account detector efficiencies, resolution, acceptances and branching fractions. The total Higgs boson production cross section is measured to be 57.0−5.9 +6.0 (stat.) −3.3 +4.0 (syst.) pb, in agreement with the Standard Model prediction. Differential cross-section measurements are presented for the Higgs boson transverse momentum distribution, Higgs boson rapidity, number of jets produced together with the Higgs boson, and the transverse momentum of the leading jet. The results from the two decay channels are found to be compatible, and their combination agrees with the Standard Model predictions

Measurement of the t¯tZ and t¯tW cross sections in proton-proton collisions at √s=13 TeV with the ATLAS detector

A measurement of the associated production of a top-quark pair (t¯t) with a vector boson (W, Z) in proton-proton collisions at a center-of-mass energy of 13 TeV is presented, using 36.1  fb−1 of integrated luminosity collected by the ATLAS detector at the Large Hadron Collider. Events are selected in channels with two same- or opposite-sign leptons (electrons or muons), three leptons or four leptons, and each channel is further divided into multiple regions to maximize the sensitivity of the measurement. The t¯tZ and t¯tW production cross sections are simultaneously measured using a combined fit to all regions. The best-fit values of the production cross sections are σt¯tZ=0.95±0.08stat±0.10syst pb and σt¯tW=0.87±0.13stat±0.14syst pb in agreement with the Standard Model predictions. The measurement of the t¯tZ cross section is used to set constraints on effective field theory operators which modify the t¯tZ vertex

Measurement of the tt¯tt¯ production cross section in pp collisions at √s=13 TeV with the ATLAS detector

A measurement of four-top-quark production using proton-proton collision data at a centre-of-mass energy of 13 TeV collected by the ATLAS detector at the Large Hadron Collider corresponding to an integrated luminosity of 139 fb−1 is presented. Events are selected if they contain a single lepton (electron or muon) or an opposite-sign lepton pair, in association with multiple jets. The events are categorised according to the number of jets and how likely these are to contain b-hadrons. A multivariate technique is then used to discriminate between signal and background events. The measured four-top-quark production cross section is found to be 26+17−15 fb, with a corresponding observed (expected) significance of 1.9 (1.0) standard deviations over the background-only hypothesis. The result is combined with the previous measurement performed by the ATLAS Collaboration in the multilepton final state. The combined four-top-quark production cross section is measured to be 24+7−6 fb, with a corresponding observed (expected) signal significance of 4.7 (2.6) standard deviations over the background-only predictions. It is consistent within 2.0 standard deviations with the Standard Model expectation of 12.0 ± 2.4 fb

Combination of searches for heavy spin-1 resonances using 139 fb−1 of proton-proton collision data at s = 13 TeV with the ATLAS detector

A combination of searches for new heavy spin-1 resonances decaying into different pairings of W, Z, or Higgs bosons, as well as directly into leptons or quarks, is presented. The data sample used corresponds to 139 fb−1 of proton-proton collisions at = 13 TeV collected during 2015–2018 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting quark pairs (qq, bb, , and tb) or third-generation leptons (τν and ττ) are included in this kind of combination for the first time. A simplified model predicting a spin-1 heavy vector-boson triplet is used. Cross-section limits are set at the 95% confidence level and are compared with predictions for the benchmark model. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The complementarity of the various analyses increases the sensitivity to new physics, and the resulting constraints are stronger than those from any individual analysis considered. The data exclude a heavy vector-boson triplet with mass below 5.8 TeV in a weakly coupled scenario, below 4.4 TeV in a strongly coupled scenario, and up to 1.5 TeV in the case of production via vector-boson fusion

Determination of the parton distribution functions of the proton using diverse ATLAS data from pp collisions at √s = 7, 8 and 13 TeV

This paper presents an analysis at next-to-next-to-leading order in the theory of quantum chromodynamics for the determination of a new set of proton parton distribution functions using diverse measurements in pp collisions at \sqrt{s} = 7, 8 and 13 TeV, performed by the ATLAS experiment at the Large Hadron Collider, together with deep inelastic scattering data from ep collisions at the HERA collider. The ATLAS data sets considered are differential cross-section measurements of inclusive W^{±} and Z/gamma^{*} boson production, W^{±} and Z boson production in association with jets, t\bar{t} production, inclusive jet production and direct photon production. In the analysis, particular attention is paid to the correlation of systematic uncertainties within and between the various ATLAS data sets and to the impact of model, theoretical and parameterisation uncertainties. The resulting set of parton distribution functions is called ATLASpdf21

Measurement and interpretation of same-sign W boson pair production in association with two jets in pp collisions at s = 13 TeV with the ATLAS detector

This paper presents the measurement of fducial and diferential cross sections for both the inclusive and electroweak production of a same-sign W-boson pair in association with two jets (W±W±jj) using 139 fb−1 of proton-proton collision data recorded at a centre-of-mass energy of √s = 13 TeV by the ATLAS detector at the Large Hadron Collider. The analysis is performed by selecting two same-charge leptons, electron or muon, and at least two jets with large invariant mass and a large rapidity diference. The measured fducial cross sections for electroweak and inclusive W±W±jj production are 2.92 ± 0.22 (stat.) ± 0.19 (syst.)fb and 3.38±0.22 (stat.)±0.19 (syst.)fb, respectively, in agreement with Standard Model predictions. The measurements are used to constrain anomalous quartic gauge couplings by extracting 95% confdence level intervals on dimension-8 operators. A search for doubly charged Higgs bosons H±± that are produced in vector-boson fusion processes and decay into a same-sign W boson pair is performed. The largest deviation from the Standard Model occurs for an H±± mass near 450 GeV, with a global signifcance of 2.5 standard deviations