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  • Energy Research
  • 7. Clean energy
  • 11. Sustainability
  • 6. Clean water
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  • Authors: orcid M. Abdou Tankari;
    M. Abdou Tankari
    ORCID
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    M. Abdou Tankari in OpenAIRE
    orcid Gilles Lefebvre;
    Gilles Lefebvre
    ORCID
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    Gilles Lefebvre in OpenAIRE
    orcid A. Seidou Maiga;
    A. Seidou Maiga
    ORCID
    Harvested from ORCID Public Data File

    A. Seidou Maiga in OpenAIRE
    Z. Nouhou Bako;

    This paper deals the study of the lead-acid behavior and its modelling based on the Kinetic Battery Model. Results of experimental tests are used to realize the analysis and to estimate the model parameters. These last can serve for prediction and estimation of the battery lifetime according to the actual operating conditions.

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    Authors: Li, Jun; Colombier, Michel; Giraud, Pierre-Noël;

    Abstract This paper investigates the optimal choice of building energy efficiency (BEE) standard in the context of centralised urban district heating system in northern China. By employing a techno-economic analysis approach, we demonstrate that the current BEE standard implemented in the Chinese cities should be tightened further in order to achieve a socially optimal level. Without considering the externality costs associated with carbon dioxide (CO2) emissions, current BEE standards need to be upgraded to the equivalent level of French RT2005 standard coupled with a properly designed district coal-fired Combined Heat and Power (CHP). In contrast, the equivalent efficiency standard of Swedish building code is preferably to be implemented in the case of explicit carbon emission restriction as long as the marginal cost of carbon emission (carbon price) is sufficiently high. The fuel-switching policy (from coal to natural gas) in the urban district heating system would result in significant increase in overall costs if the BEE upgrade is not taken into account simultaneously. It is also found that BEE improvements in northern Chinese cities are more cost-effective than investing in low-carbon technologies such as wind power or Carbon Capture and storage in the EU and US with regard to CO2 emissions mitigation.

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    Energy Policy
    Article . 2009 . Peer-reviewed
    License: Elsevier TDM
    Data sources: Crossref
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ INRIA a CCSD electro...arrow_drop_down
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      Energy Policy
      Article . 2009 . Peer-reviewed
      License: Elsevier TDM
      Data sources: Crossref
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    Authors: Seferian, Roland;

    Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.CNRM-CERFACS.CNRM-ESM2-1.amip' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-ESM2-1 climate model, released in 2017, includes the following components: aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

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    World Data Center for Climate
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      World Data Center for Climate
      Dataset . 2023
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    Authors: orcid Frédéric Chevallier;
    Frédéric Chevallier
    ORCID
    Harvested from ORCID Public Data File

    Frédéric Chevallier in OpenAIRE
    Pierre Regnier; Julia Pongratz; orcid Atul K. Jain;
    Atul K. Jain
    ORCID
    Harvested from ORCID Public Data File

    Atul K. Jain in OpenAIRE
    +30 Authors

    Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.

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    https://doi.org/10.5194/gmd-20...
    Article . 2020 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Geoscientific Model Development (GMD)
    Article . 2022 . Peer-reviewed
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    Geoscientific Model Development (GMD)
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    Geoscientific Model Development
    Article . 2022
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    MPG.PuRe
    Article . 2020
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    Wageningen Staff Publications
    Article . 2022
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      https://doi.org/10.5194/gmd-20...
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      Geoscientific Model Development (GMD)
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      MPG.PuRe
      Article . 2020
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      Wageningen Staff Publications
      Article . 2022
      License: CC BY
      https://dx.doi.org/10.60692/vq...
      Other literature type . 2020
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    Authors: orcid Ouhsaine, Lahoucine;
    Ouhsaine, Lahoucine
    ORCID
    Harvested from ORCID Public Data File

    Ouhsaine, Lahoucine in OpenAIRE
    Ramenah, Harry; El Ganaoui, Mohammed; Mimet, Abdelaziz;

    Abstract Building-based active envelopes play an important role to reduce active heating supplies. Several techniques are developed to enhance the energy performances of active building envelopes; meanwhile, numerous numerical and mathematical models are also developed to conduct the performance analysis of these techniques. In this paper, we propose a state-space model for solar active wall-based Phase Change Materials (PCM). The advantage of this method remains in its simplicity to provide details of internal nodes and input/output parameters. The low-cost calculation is a supplementary advantage versus a heavy numerical method. The proposed numerical model is applied for a multi-layer wall with PCM Wallboards (PCMW) embedded between indoor and outdoor environments. The results show the ability of the state-space model to estimate the thermal behavior of the system, as well as the thermal characteristics of embedding PCM in the internal face of the wall. It significantly contributes to stabilize the indoor temperature and to ensure the thermal comfort.

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    Sustainable Energy Grids and Networks
    Article . 2020 . Peer-reviewed
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      Sustainable Energy Grids and Networks
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    Authors: Edgar Galván-López; orcid bw Tom Curran;
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    Demand-Side Management systems aim to modulate energy consumption at the customer side of the meter using price incentives. Current incentive schemes allow consumers to reduce their costs, and from the point of view of the supplier play a role in load balancing, but do not lead to optimal demand patterns. In the context of charging fleets of electric vehicles, we propose a centralised method for setting overnight charging schedules. This method uses evolutionary algorithms to automatically search for optimal plans, representing both the charging schedule and the energy drawn from the grid at each time-step. In successive experiments, we optimise for increased state of charge, reduced peak demand, and reduced consumer costs. In simulations, the centralised method achieves improvements in performance relative to simple models of non-centralised consumer behaviour.

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    Neurocomputing
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  • Authors: Ted Lazo;

    From its inception, the Nuclear Energy Agency (NEA), which is part of the broader Organisation for Economic Co-operation and Development, has contributed to the development of international radiological protection norms and standards. This continues today, in the form of studies and workshops to assist radiological protection policy makers, regulators and practitioners to develop concepts and approaches to help the international system of radiological protection, as recommended by the International Commission on Radiological Protection (ICRP), to evolve to better serve societal needs. The NEA's Committee on Radiation Protection and Public Health (CRPPH), in providing this support, has collaborated closely with the ICRP and strongly supports the current ICRP recommendation development process. In particular, active dialogue with a broad range of stakeholders is contributing to the evolution of concepts towards consensus on new ICRP recommendations. The CRPPH, as a body of ICRP recommendation practitioners, feels that the public, workers and the environment are well protected by the current radiological protection system, but agrees that a new consolidation and clarification of ICRP recommendations would be of value. The intent of the CRPPH in collaborating with ICRP is to develop a system of radiological protection that is simplified, more coherent, firmly based upon science and more clearly presented than the current system. This paper summarises the more detailed views of the CRPPH on the evolution of the system of radiological protection.

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  • Authors: Boulon, Loïc;

    Cette modélisation présente la partie de contrôle d'une pile à combustible à membrane d'échange de protons (PEMFC). L'objectif du modèle de représenter la chaîne de contrôle de la tension de la PEMFC. Ce modèle est basé sur une représentation macroscopique énergétique (REM) de la pile à combustible, puis conduit à une structure dite de contrôle maximal (SCM). La SCM est une inversion étape par étape de la REM (structure de contrôle basée sur un modèle d'inversion). Le processus de conception de la commande est basé sur une définition explicite du problème. Par exemple, les entrées de réglage, les objectifs du système ou les contraintes sont mises en évidence pour organiser la commande. De plus, le SMC montre les endroits où les capteurs sont nécessaires et où les contrôleurs sont requis. Malheureusement, le SCM n'est qu'une structure de contrôle théorique. Par conséquent, une structure réaliste nécessite certaines simplifications, ce qui conduit à une structure de contrôle dite pratique. This modeling presents the control part of a proton exchange membrane fuel cell (PEMFC). The objective of the model is to represent the voltage control chain of the PEMFC. This model is based on an energetic macroscopic representation (EMR) of the fuel cell and then leads to a so-called maximum control structure (MCS). The SCM is a step-by-step inversion of the REM (control structure based on an inversion model). The control design process is based on an explicit problem definition. For example, control inputs, system objectives, or constraints are highlighted to organize the control. In addition, the MSC shows where sensors are needed and where controllers are required. Unfortunately, the SCM is only a theoretical control structure. Therefore, a realistic structure requires some simplifications, which leads to a so-called practical control structure. AdditionnalInformation: Modèle créé lors d'une thèse en génie électrique, par Loïc Boulon (ses recherches portent sur la modélisation et le contrôle des véhicules électriques hybrides, des sources d'énergie et d'énergie et de puissance, et des systèmes de piles à combustible). Il a travaillé en vue de l'obtention du diplôme de doctorat à l'Université de Franche-Comté, Belfort, France, où sa thèse de doctorat a été réalisée en collaboration avec le FEMTO-ST, Belfort, et les Laboratoires L2EP, Lille. Co-encadrement par Daniel Hissel (PU au laboratoire FEMTO-ST), Alain Bouscayrol (PU au laboratoire L2EP) et Marie-Célie Péra (PU au laboratoire FEMTO-ST) AdditionnalInformation: Model created during a thesis in electrical engineering, by Loïc Boulon (his research focuses on the modeling and control of hybrid electric vehicles, energy and power sources, and fuel cell systems). He worked towards his Ph.D. degree at the University of Franche-Comté, Belfort, France, where his dissertation was complet in collaboration with the FEMTO-ST, Belfort, and the L2EP Laboratories, Lille. Co-supervision by Daniel Hissel (PU at FEMTO-ST laboratory), Alain Bouscayrol (PU at L2EP laboratory) and Marie-Célie Péra (PU at FEMTO-ST laboratory) Données computationnelles ou de simulation: - Langage de programmation : Langage Matlab - Plate-forme/OS : Microsoft Windows, Mac OS, Linux,... - Version : MATLAB R2018a - Statut de développement : Actif Simulation or computational data: - Programming language: Matlab language - Platform/OS: Microsoft Windows, Mac OS, Linux,... - Version: MATLAB R2018a - Development status: Active Project: Thèse de doctorat en génie électrique - Loïc Boulon, Contrat doctoral (Region Bourgogne Franche-Comté) Label: PHE (Plateforme Hydrogène-Energie) Audience: Research

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    Authors: Seferian, Roland;

    Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.C4MIP.CNRM-CERFACS.CNRM-ESM2-1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CNRM-ESM2-1 climate model, released in 2017, includes the following components: aerosol: TACTIC_v2, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: REPROBUS-C_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: Pisces 2.s, seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.

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    World Data Center for Climate
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    Authors: Somda, Jacques; Zougmoré, Robert B.; Sawadogo, Issa; Bationo, B. André; +2 Authors

    This chapter focuses on the evaluation of adaptive capacities of community-level human systems related to agriculture and food security. It highlights findings regarding approaches and domains to monitor and evaluate behavioral changes from CGIAR’s research program on climate change, agriculture and food security (CCAFS). This program, implemented in five West African countries, is intended to enhance adaptive capacities in agriculture management of natural resources and food systems. In support of participatory action research on climate-smart agriculture, a monitoring and evaluation plan was designed with the participation of all stakeholders to track changes in behavior of the participating community members. Individuals’ and groups’ stories of changes were collected using most significant change tools. The collected stories of changes were substantiated through field visits and triangulation techniques. Frequencies of the occurrence of characteristics of behavioral changes in the stories were estimated. The results show that smallholder farmers in the intervention areas adopted various characteristics of behavior change grouped into five domains: knowledge, practices, access to assets, partnership and organization. These characteristics can help efforts to construct quantitative indicators of climate change adaptation at local level. Further, the results suggest that application of behavioral change theories can facilitate the development of climate change adaptation indicators that are complementary to indicators of development outcomes. We conclude that collecting stories on behavioral changes can contribute to biophysical adaptation monitoring and evaluation.

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    https://doi.org/10.1007/978-3-...
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