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China – Protestants – Christians in Zhejiang – House Churches
Refugee Review Tribunal AUSTRALIA RRT RESEARCH RESPONSE Research Response Number: CHN32722 Country: China Date: 17 December 2007 Keywords: China – Protestants – Christians in Zhejiang – House churches This response was prepared by the Research & Information Services Section of the Refugee Review Tribunal (RRT) after researching publicly accessible information currently available to the RRT within time constraints. This response is not, and does not purport to be, conclusive as to the merit of any particular claim to refugee status or asylum. This research response may not, under any circumstance, be cited in a decision or any other document. Anyone wishing to use this information may only cite the primary source material contained herein. Questions 1. Is there information about the treatment of Protestant Christians and house churches in Leqing, Zhejiang Province over the past 3 years? 2. How were Christians treated in Zhejiang Province in 2006 and 2007? RESPONSE 1. Is there information about the treatment of Protestant Christians and house churches in Leqing, Zhejiang Province over the past 3 years? This response will look at the following topics: 1. Leqing 2. Protestants in Wenzhou 3. Protestants in Leqing (Yueqing) 4. Protestants in China Leqing Leqing (also known as Yuecheng or Yueqing (乐清市)) is a county-level city in the prefecture-level city of Wenzhou, in the province of Zhejiang in south-east China. The Leqing administrative region and city lie to the immediate north-east of Wenzhou, and the relative distance between Leqing (appearing on the map as the city of Yuecheng) and Wenzhou can be seen in this map – Attachment 1. -
Oktober 2019 Warengruppe Name Adresse Land Mitarbeiter
Produktionsstätten nach Warengruppe Letzte Aktualisierung: Oktober 2019 Warengruppe Name Adresse Land Mitarbeiteranzahl Bekleidungstextilien 8. Mart d.o.o. Sencanski Put 85, 24000 Subotica, Vojvodina Serbien 501-1000 ABM Fashions Ltd. Kashimpur Road, Holding No. 1143-1145, Konabari, 1751 Gazipur Bangladesch 3001-4000 AKH Stitch Art Ltd. Chandanpur, Rajfulbaria,Hemayetpur, Savar, 1340 Dhaka Bangladesch 2001-3000 Amity (Myanmar) Lingerie Co., Ltd. Plot No.53, Kwin No.1190(Kha), East of Gonminn Inn, Inndagaw, Bago Myanmar (früher Birma) 0-500 Ananta Jeanswear Ltd. Kabi Jashim Uddin Road No. 134/123, Pagar, Tongi, 1710 Gazipur Bangladesch 3001-4000 Anhui Runtex Fashion Co., Ltd. Jincheng (West) Road, Langxi Economic and Industry District, Xuancheng, Langxi Volksrepublik China 0-500 County, Anhui Anyang Yiyang Clothing Manufact. Co., Ltd. Anyang Textiles Industry District, Children Garment City, Tower 2 West, Anyang, Henan Volksrepublik China 0-500 Asdet (Myanmar) Garment Co., Ltd Shwe Lin Pan Industrial Zone, Plot No. 458, Hlaing Thar Yar Township,Yangon Myanmar (früher Birma) 501-1000 Aspire Garments Ltd. 491, Dhalla Bazar, Singair,1820 Manikganj Bangladesch 2001-3000 Best Hubo Co., Ltd. U Myuu Street, Plot No. 7,8, Myay Taing Block No. 65 (Settmu), Yangon, Shwe Pyithar Myanmar (früher Birma) 1001-2000 Township BHIS Apparels Ltd. Dattapara No. 671, 0-5 Floor, Tongi, Hossain Market, 1712 Gazipur/Dhaka Bangladesch 2001-3000 Blue Planet Knitwear Ltd. P.O: Tengra, Sreepur, Sreepur, Gazipur District 1740, Dhaka Bangladesch 1001-2000 Burcu Tekstil San. ve Tic A.S. (Duzce Subesi) D-100 Karayolu Uzeri Altinpinar Koyu no. 8, 81100 Duezce Türkei 0-500 Caelygirl (Anhui) Co., Ltd. Ruquan Blvd. -
Characterisation of Intra-Hourly Wind Power Ramps at the Wind Farm Scale and Associated Processes
Wind Energ. Sci., 6, 131–147, 2021 https://doi.org/10.5194/wes-6-131-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Characterisation of intra-hourly wind power ramps at the wind farm scale and associated processes Mathieu Pichault1, Claire Vincent2, Grant Skidmore1, and Jason Monty1 1Department of Mechanical Engineering, The University of Melbourne, Melbourne, Victoria 3010, Australia 2School of Earth Sciences, The University of Melbourne, Melbourne, Victoria 3010, Australia Correspondence: Mathieu Pichault ([email protected]) Received: 12 May 2020 – Discussion started: 5 June 2020 Revised: 15 September 2020 – Accepted: 8 December 2020 – Published: 19 January 2021 Abstract. One of the main factors contributing to wind power forecast inaccuracies is the occurrence of large changes in wind power output over a short amount of time, also called “ramp events”. In this paper, we assess the behaviour and causality of 1183 ramp events at a large wind farm site located in Victoria (southeast Australia). We address the relative importance of primary engineering and meteorological processes inducing ramps through an automatic ramp categorisation scheme. Ramp features such as ramp amplitude, shape, diurnal cycle and seasonality are further discussed, and several case studies are presented. It is shown that ramps at the study site are mostly associated with frontal activity (46 %) and that wind power fluctuations tend to plateau before and after the ramps. The research further demonstrates the wide range of temporal scales and behaviours inherent to intra-hourly wind power ramps at the wind farm scale. 1 Introduction hourly) ramp forecasts (Zhang et al., 2017; Cui et al., 2015; Gallego et al., 2015a). -
5 Minute Wind Forecasting Challenge: Exelon and GE's Predix
The 5 Minute Wind Forecasting Challenge: Exelon and GE’s Predix At a Glance A move toward digital industrial transformation As a leading utility company with more than $31 billion in global Renewable Energy revenues in 2016 and over 32 gigawatts (GW) of total generation, Exelon knows the importance of taking a strategic view of digital transformation across its lines of business. Challenge Exelon sought to optimize wind power forecasting by predicting wind Exelon was developing strategies for managing its various generation ramp events, enabling the company to dispatch power that could not be assets across nuclear, fossil fuels, wind, hydro, and solar power as well monetized otherwise. The result is higher revenue for Exelon’s large-scale wind farm operations. as determining how it would leverage the enormous amount of data those assets would generate going forward. Solution GE and Exelon teams co-innovated to build a solution on Predix that In evaluating its strategies, the company reviewed its current increases wind forecasting accuracy by designing a new physical and statistical wind power forecast model that uses turbine data on-premises OT/IT infrastructure across its entire energy portfolio. together with weather forecasting data. This model now represents Business leaders looked at the system administration challenges the industry-leading forecasting solution (as measured by a substantial and costs they would face to maintain the current infrastructure, let reduction in under-forecasting). alone use it as a basis for driving new revenue across its business Results units. This assessment made digital transformation an even greater Exelon’s wind forecasting prediction accuracy grew signifcantly, enabling imperative, and inspired discussions about how Exelon could leverage higher energy capture valued at $2 million per year. -
Oktober 2019 Land Name Adresse Warengruppe Mitarbeiteranzahl
Produktionsstätten nach Land Letzte Aktualisierung: Oktober 2019 Land Name Adresse Warengruppe Mitarbeiteranzahl Ägypten Arab Novelties Weaving Terry Co. El Rahbeen Industrial Zone-Front Of Moubark Cool, El-Mahalla El-Kubra, Al Gharbiyah Heimtextilien 0-500 Mac Carpet 10th Ramadad City, Zone B1B3, 1o th of Ramadan Heimtextilien 3001-4000 Oriental Weavers 10th of Ramadan City, Industrial A1, Industrial 1 El Sharkeya, Kairo Heimtextilien >5000 The Egyptian Company for Trade Industry Canal Suez St. Moharam Bey, Manshia Guededah, 00203 Alexandria Bekleidungstextilien 0-500 Bangladesch ABM Fashions Ltd. Kashimpur Road, Holding No. 1143-1145, Konabari, 1751 Gazipur Bekleidungstextilien 3001-4000 AKH Stitch Art Ltd. Chandanpur, Rajfulbaria,Hemayetpur, Savar, 1340 Dhaka Bekleidungstextilien 2001-3000 Ananta Jeanswear Ltd. Kabi Jashim Uddin Road No. 134/123, Pagar, Tongi, 1710 Gazipur Bekleidungstextilien 3001-4000 Aspire Garments Ltd. 491, Dhalla Bazar, Singair,1820 Manikganj Bekleidungstextilien 2001-3000 BHIS Apparels Ltd. Dattapara No. 671, 0-5 Floor, Tongi, Hossain Market, 1712 Gazipur/Dhaka Bekleidungstextilien 2001-3000 Blue Planet Knitwear Ltd. P.O: Tengra, Sreepur, Sreepur, Gazipur District 1740, Dhaka Bekleidungstextilien 1001-2000 Chaity Composite Ltd. Chotto Silmondi, Tirpurdi, Sonargaon, Narayangonj, 1440 Dhaka Bekleidungstextilien 4001-5000 Chorka Textile Ltd. Kazirchor, Danga, Polas, Narshingdi,1720 Narshingdi-Dhaka Bekleidungstextilien 4001-5000 Citadel Apparels Ltd. Joy Bangla Road, Kunia, K.B. Bazar, Gazipur Sadar, Gazipur 1704 Dhaka Bekleidungstextilien 501-1000 Cotton Dyeing & Finishing Mills Ltd. Amtoli Union No. 10, Habirbari, P. O-Seedstore Bazar, P.S.-Valuka, Mymensingh-2240, Bekleidungstextilien 1001-2000 Mymensingh, 2240 Dhaka Crossline Factory (Pvt) Ltd. Vadam 25, Uttarpara, Nishatnagar, Tongi, Gazipur, 1711 Dhaka Bekleidungstextilien 1001-2000 Crossline Knit Fabrics Ltd. -
NAWEA 2015 Symposium Book of Abstracts
NAWEA 2015 Symposium Tuesday 09 June 2015 - Thursday 11 June 2015 Virginia Tech Campus Goodwin Hall Book of Abstracts i Table of contents Wind Farm Layout Optimization Considering Turbine Selection and Hub Height Variation ....................... 1 Graduate Education Programs in Wind Energy ................................................................................. 2 Benefits of vertically-staggered wind turbines from theoretical analysis and Large-Eddy Simulations ........... 3 On the Effects of Directional Bin Size when Simulating Large Offshore Wind Farms with CFD ................... 7 A game-theoretic framework to investigate the conditions for cooperation between energy storage operators and wind power producers ............................................................................................................ 9 Detection of Wake Impingement in Support of Wind Plant Control ....................................................... 11 Sensitivity of Wind Turbine Airfoil Sections to Geometry Variations Inherent in Modular Blades ................ 15 Exploiting the Characteristics of Kevlar-Wall Wind Tunnels for Conventional Aerodynamic Measurements with Implications for Testing of Wind Turbine Sections ...................................................................... 16 Spatially Resolved Wind Tunnel Wake Measurements at High Angles of Attack and High Reynolds Numbers Using a Laser-Based Velocimeter .................................................................................................... 17 Windtelligence: -
A Critical Review of Wind Power Forecasting Methods—Past, Present and Future
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Enlighten energies Review A Critical Review of Wind Power Forecasting Methods—Past, Present and Future Shahram Hanifi 1, Xiaolei Liu 1,* , Zi Lin 2,3,* and Saeid Lotfian 2 1 James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK; s.hanifi[email protected] 2 Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK; saeid.lotfi[email protected] 3 Department of Mechanical & Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK * Correspondence: [email protected] (X.L.); [email protected] (Z.L.) Received: 16 June 2020; Accepted: 20 July 2020; Published: 22 July 2020 Abstract: The largest obstacle that suppresses the increase of wind power penetration within the power grid is uncertainties and fluctuations in wind speeds. Therefore, accurate wind power forecasting is a challenging task, which can significantly impact the effective operation of power systems. Wind power forecasting is also vital for planning unit commitment, maintenance scheduling and profit maximisation of power traders. The current development of cost-effective operation and maintenance methods for modern wind turbines benefits from the advancement of effective and accurate wind power forecasting approaches. This paper systematically reviewed the state-of-the-art approaches of wind power forecasting with regard to physical, statistical (time series and artificial neural networks) and hybrid methods, including factors that affect accuracy and computational time in the predictive modelling efforts. Besides, this study provided a guideline for wind power forecasting process screening, allowing the wind turbine/farm operators to identify the most appropriate predictive methods based on time horizons, input features, computational time, error measurements, etc. -
Energia Eólica Panfleto Dez07
EEEEnnnneeeerrrrggggiiiiaaaa EEEEóóóólllliiiiccccaaaa DDDeeezzzeeemmmbbbrrrooo 222000000777 INEGI O INEGI - Instituto de Engenhar ia Mecânica e Gestão Industrial tem procurado , desde a sua criação, fomentar e empenhar -se no estudo da utilização das fontes de energia não convencionais, e na poupança e utilização racional da energia. Dedicando -se ao estudo do aproveitamento da Energia Eólica, o INEGI pretende apoiar o desenvolvimento das energias renováveis, contribuindo para a diversificação dos recursos primários usados na geração de elect ricidade e para a preservação do meio ambiente. Desde 1991, o INEGI tem uma equipa especialmente dedicada à Energia Eólica . Para além do planeamento e condução de campanhas de avaliação do recurso eólico, o INEGI disponibiliza hoje diversos outros serviço s relacionados com o tema, como sejam os cálculos de produtividade e a optimização da configuração de parques eólicos, a realização de estudos de viabilidade técnico -económica de projectos, o apoio na elabor ação de cadernos de encargos, apreciação de propo stas e comparação de soluções, a avaliação do desempenho de aerogeradores, a verificação de garantias de produção , a realização de auditorias e avaliaç ões de projectos para instituições financeiras e outras e o apoio em acções de planeamento e ordenamento. Inicialmente restritas ao Norte e Centro de Portugal, as actividades do INEGI neste domínio estendem -se actualmente a todo o país e, desde 1999, também ao estrangeiro. Fazendo uso da experiência adquirida pela participação dos colaboradores em projectos i nternacionais, foram adoptadas metodologias e técnicas de operação que permitem fornecer aos seus clientes serviços de qualidade. Através do contacto com institutos congéneres e consultores de toda a Europa, e da participação em conferências e seminários i nternacionais, procura o INEGI manter -se actualizado nos recursos e nas práticas seguidas. -
Make the Right Connections Photo: Roehle Gabriele
Make the right connections Photo: Roehle gabriele Event Guide EWEA Annual Event 14 - 17 March 2011, Brussels - Belgium Table of contents Conference ....................................................................................................... 4 - 44 Conference programme ....................................................................................... 4 Poster presentations ......................................................................................... 26 Belgian Day ...................................................................................................... 38 Workshops ....................................................................................................... 40 Side events ...................................................................................................... 42 Useful Information .......................................................................................... 46 - 52 Practical information ......................................................................................... 46 Relaxation area ................................................................................................. 49 Social events .................................................................................................... 50 Sustainability ................................................................................................... 52 Thank you ...................................................................................................... 54 - 61 Supporting organisations -
Potential Benefits of Wind Forecasting and the Application of More-Care in Ireland Ruairi Costello, Damian Mccoy, Philip O’Donnel, Geoff Dutton, Georges Kariniotakis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archive Ouverte en Sciences de l'Information et de la Communication Potential benefits of wind forecasting and the application of more-care in Ireland Ruairi Costello, Damian Mccoy, Philip O’Donnel, Geoff Dutton, Georges Kariniotakis To cite this version: Ruairi Costello, Damian Mccoy, Philip O’Donnel, Geoff Dutton, Georges Kariniotakis. Potential benefits of wind forecasting and the application of more-care in Ireland. Med power 2002, Nov Athènes, Greece. hal-00534004 HAL Id: hal-00534004 https://hal-mines-paristech.archives-ouvertes.fr/hal-00534004 Submitted on 4 May 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Potential Benefits of Wind Forecasting and the Application of More-Care in Ireland R. Costello*, D. McCoy, P. O’Donnell A.G. Dutton G.N. Kariniotakis ESB National Grid CLRC Rutherford Appleton Laboratory Ecole des Mines de Paris/ARMINES, Power System Operations Energy Research Unit Centre d’Energétique Ireland United Kingdom France. * ESB National Grid, 27 Fitzwilliam Street Lower, Dublin 2, Tel: +353-1-7027245, Fax: +353-1- 4170539, [email protected] ABSTRACT: The Irish Electricity System and its future II. -
List of Main Production Facilities of ALDI North's Suppliers for Apparel
List of Main Production Facilities of ALDI North‘s Suppliers for Apparel, Home Textiles and Shoes Version March 2020 Produktionsstättenliste | März 2018 | Seite 0/17 Name Address Number of Employees Commodity Group Bangladesh AKH Eco Apparels Ltd. 495 Balitha, Shahbelishwer, Dhamrai > 5000 Apparel Chantik Garments Ltd. Kumkumari, Gouripur, Ashulia, Savar 2001 - 3000 Apparel Crossline Factory Ltd. 25 Vadam, Uttarpara, Nishatnagar, Tongi 1001 - 2000 Apparel Plot No. 45, 48, 49, 51 & 52; Holding No. 3/C Vadam, Post office: Nishatnagar, Crossline Knit Fabrics Ltd. 1001 - 2000 Apparel Tongi Designtex Knitwear Ltd. Beraiderchala, Sreepur, Gazipur 1001 - 2000 Apparel Disari Apparels (Pvt) Ltd. B-193 BSCIC Industrial Estate, Tongi 0 - 500 Apparel EH Fabrics Ltd. 221-225 Sataish Road, Khortoil, Tongi 1001 - 2000 Apparel Elaine Apparels Ltd. Charabagh, Amtala, Ashulia, Savar-1340 1001 - 2000 Apparel Eurotex Knitwear Ltd. Nayamati, Kutubpur, Fatullah 1001 - 2000 Apparel Faiza Industries Ltd. 425 Baimail, Konabari, P.O.-Kashem Cotton Mill, Thana-Joydebpur 1001 - 2000 Apparel Florence Fabrics Ltd. Bymile, Konabari, Gazipur 1346, Dhaka 501 - 1000 Apparel Fortis Garments Ltd. 100/1 Block-B, East Chandra, Shaheed Mosharraf Hossain Road, Kaliakoir 1001 - 2000 Apparel Habitus Fashion Ltd. Gajaria Para, Bahwal Mirzapur, Gazipur Sadar 2001 - 3000 Apparel Ilmeeyat Apparels Ltd. Jamirdia, Hobirbari, Valuka > 5000 Apparel Impress Fashion Ltd. Dag No. 2224 Matuail, Konapara, Katherpool, Jatrabari 2001 - 3000 Apparel J.L. Sweaters Ltd. Zirabo, P.O.-Ashulia, Thana-Ashulia, Savar 1001 - 2000 Apparel KA Design Ltd. Vill: Boro Beraid, P.S: Badda, Dhaka 1212 1001 - 2000 Apparel KC Bottom And Shirt Wear Company K. C. Industrial Park, Ratuti, Katchkura, Uttarkhan, Uttara, Dhaka 501 - 1000 Apparel BSCIC Hosiery Industrial Estate, Road No. -
Wind Generation Forecasting Methods and Proliferation of Artificial Neural
sustainability Review Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend Muhammad Shahzad Nazir 1,* , Fahad Alturise 2 , Sami Alshmrany 3, Hafiz. M. J Nazir 4, Muhammad Bilal 5 , Ahmad N. Abdalla 6, P. Sanjeevikumar 7 and Ziad M. Ali 8,9 1 Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China 2 Computer Department, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Saudi Arabia; [email protected] 3 Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia; [email protected] 4 Institute of Advance Space Research Technology, School of Networking, Guangzhou University, Guangzhou 510006, China; [email protected] 5 School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an 223003, China; [email protected] 6 Faculty of Information and Communication Engineering, Huaiyin Institute of Technology, Huai’an 223003, China; [email protected] 7 Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark; [email protected] 8 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia; [email protected] 9 Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt * Correspondence: [email protected] or [email protected]; Tel.: +86-1322-271-7968 Received: 8 April 2020; Accepted: 23 April 2020; Published: 6 May 2020 Abstract: To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries.