المؤلفون / Authors
الملخص / Abstract
الكلمات المفتاحية / Keywords
أقسام الملف
1-المقدمة
2-الدراسة المرجعية
3-مواد البحث وطرائقه
4-النتائج والمناقشة
5-الاستنتاجات
6-المراجع |
تقدير الكمون الريحي في موقع الحلس وتحديد صنف العنفة المناسبة للموقع وفق المواصفة IEC-61400-1 |
Estimating The Wind Potential at ALHALAS Site and Determining the Suitable Class of Wind Turbine for The Site According to IEC-61400-1 |
الناشر : جامعة دمشق |
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م. باسم مصطفى الخليل ، أ.د. فريد أبو حامد |
Eng.Basem Al khaliel , Dr.Farid abou-hamed |
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الملخص
تتمتع سورية بكمون ريحي فعلي يقدر بحوالي 12000 [MW] يجب استغلاله بالشكل الأمثل لتلبية جزء من تنامي الطلب على الطاقة، لكن ضياع جزء من طاقة الرياح نتيجة لتأثير شدة الاضطراب وسرعة الرياح العالية على مكونات العنفات الريحية سيؤدي إلى انخفاض مؤشرات الجدوى الاقتصادية لمشاريع طاقة الرياح الأمر الذي يستوجب معالجة هذه المشاكل بهدف الوصول للحالة المثلى في الأداء.
يهدف البحث إلى اختيار الصنف المناسب من العنفات الريحية لموقع الحلس بحيث يتحقق الأداء الأمثل والموثوقية ويقلل المخاطر على مكونات العنفة من إجمالي الاجهادات التي تتعرض لها في مختلف الظروف الجوية خلال العمر الفني للعنفة.
تم في هذا البحث تقدير الكمون الريحي في موقع الحلس وحساب شدة الاضطراب بالاستفادة من قياسات حقيقية عند الارتفاع 40[m]، و تحديد صنف العنفات الريحية المناسب للموقع وأجريت محاكاة حاسوبية للعنفات المناسبة والقياسات الريحية وتم تحديد العنفة الريحية ذات الإنتاج الأعلى وفق شروط الموقع، وأظهرت النتائج توفر كمون ريحي جيد في موقع الحلس، واستناداً إلى المواصفة IEC-61400-1تعتبر العنفات الريحية من الصنف ClassI أو ClassII من الفئات (A+/A/B) مناسبة للموقع.
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![](data:image/png;base64,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) |
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الكلمات المفتاحية: عنفات ريحية ، كمون ريحي، سرعة الرياح، شدة إضطراب، طاقة الرياح |
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Abstract
Syria has an actual wind potential estimated at about 12,000 [MW], which must be optimally exploited to meet part of the growing de-mand for energy. However, the loss of part of wind energy as a result of the impact of the turbulence intensity and high wind speed on the components of wind turbines will lead to a decrease in the indicators of economic feasibility of wind energy projects Which requires ad-dressing these problems in order to reach the optimal state of per-formance.
The research aims to choose the appropriate type of wind turbines for ALHALAS site to achieve optimal performance and reliability and reduce the risks to the components of the turbine from the total stresses that they are exposed to in various weather conditions during the technical life of the turbine.
In this research, the wind potential was estimated at Al-HALAS site and turbulence intensity was calculated using real measurements at a height of 40 [m], and the appropriate type of wind turbines was de-termined for the site. Availability of good wind potential in the AL-HALAS site, and based on IEC-61400-1, Class I or Class II wind turbines of categories (A+/A/B) are suitable for the site.
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![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAC4AAAAuCAYAAABXuSs3AAACrElEQVRoge3YW0hTcRzA8e/UaIgKC9MeqhcRzG6azT1ZBokKyysDwaAXe8mniKlsU9B5r9TES3gFQ5GBt7Swu4WEFzYsMRVJswc1MDQKBRXsyT0U2tl2OCac7+v5/87vw2Bw+CvSjl3Y5oBVv2jFbb8RzibDpU6GS50MlzoZLnUyXOpkuNQdWLiH2C/cLLzP7aizAJS/GOeQ4Y7YKwCxf/HSckqSNfh6KTnqpaQkWQOl5aKu2Ek0uMe9CooSw1nf3CKrY5jMjmHWN7coSgzH/W6FWGvsiQJXllVSnKRhdW0DY/coSpMepUmPsXuU1bUNSpI1HC6rFGOVPZfh3pVVFCaGs7C6hrFnBE+T3v7M06TH2DPC4o81ChPUeD+ocnWdPZfgR6prMMepmV3+SXbPKD45mX+d8cnJxNQ9ypfvvzDHq1FVVbuy0p7TcP/ah+TFXWRycQVznxVVbtauZ1W5WeT1WZlcWsEcr8a/ttbZtfacgp+oryNHG4Z1fpmCp7Y90TupcrMoeGLDNr9MtjaM4/V1zqy25zA8oKkBQ2wo7z8vUdI/hq/ZIHjW12yguH+ModlvGGNDCWhqcHS9PYfgwY+ayYgO4dX0AuUvx/HLF47eyS/fQNmLcV5PL5ARHcKplmaH3wGgEHohdL6thVuRwfR9/EpvTJJTy/7sWn8n2nMnqXkzwYfUG4LnBF8IaSytpEeepsM2JxoaoDcmiU7bHOlXzhBuaXVo9p/wy13tpEUE0Toyw3Otzmnkbj3T6mgbmeFmRBCXutoFz+0Jj+q1kKoJpHFwircJKS4jd2sgIYXGwSmuawK5+tgiaGZPuLubGzUDEwzpUkUB7tWQLpXad59wd1MIOi/4z/k/Jd/W7kcyXOpkuNTJcKmT4VInw6VOhkudYnt7+8B91gL8Bifd0G+9hE2rAAAAAElFTkSuQmCC) |
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Keywords: Self-Healing, Multi-Agent System(MAS), Decentralized Network, Distributed Generation, Java Language, Jade Platform. |
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1 . المقدمة: |
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يتزايد عالمياً الطلب على الطاقة الكهربائية باستخدام العنفات الريحية، فقد تم تركيب [GW] 93.6 من العنفات الريحية عام2021 لتبلغ قيمة كامل الاستطاعة المركبة عالمياً من العنفات الريحية [GW]824.878 في نهاية عام 2021 [4]. |
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تتمتع سورية بكمون ريحي فعلي يقدر بحوالي 12000 [MW] وقد تم إنجاز أطلس رياح سورية في عام 1998 [1] كما تم خلال عامي2003-2004 تركيب 20 محطة رصد ريحية بارتفاع 40[m] لقياس بارامترات الرياح. |
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ركزت وزارة الكهرباء في خطتها المعدة لمواجهة تنامي الطلب على الطاقة لغاية عام 2030 على إشراك الطاقات المتجددة بنسبة لا تقل عن 5% من إجمالي الطاقة الأولية وتهدف الخطة لتركيب 1500 [MW] من اللواقط الكهروضوئية و900 [MW] من العنفات الريحية. |
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![](data:image/png;base64,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) |
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2.الدراسة المرجعية: |
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يسعى الباحثون إلى الحد من التكاليف المالية المرتفعة التي ينطوي عليها إنشاء مزارع الرياح باستخدام العديد من البرامج والأدوات المتخصصة في النمذجة الهوائية لتدفق الرياح ومحاكاة العنفات الريحية، وقد درس الباحثان Albers وGerhard الأسباب الحقيقية لتباين إنتاج الطاقة في مزارع الرياح بين القيم المتوقعة والقيم الفعلية والعوامل المؤثرة في هذا التباين وتوصلت الدراسة إلى ضرورة تنفيذ قياسات عالية الدقة في مرحلة التخطيط للمشروع واختيار صنف العنفات الريحية المناسبة لبارامترات الموقع وفق المنهجيات المعتمدة عالمياً [5]. |
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ظهرت العديد من الدراسات التي تبحث في مسببات الفشل في طاقة الرياح وقد توصل الباحث Ribrantعام 2006 من خلال العديد من الاحصائيات في كل من السويد – فنلدا- ألمانيا إلى أن غالبية التوقفات في العنفة الريحية تعود للإجهادات المستمرة التي يتعرض لها الجزء الدوار بسبب اضطرابات الرياح وتلف علبة السرعة تحت تأثير هذه الاجهادات، وقد بلغت نسبة التوقفات بسبب علبة السرعة 19.4% وهي أعلى نسبة من مجمل التوقفات الناجمة عن مكونات العنفة الريحية [6]. |
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![](data:image/png;base64,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) |
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3. مواد البحث وطرائقه |
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تمت هذه الدراسة بالاعتماد على القياسات فعلية التي تمت في محطة الرصد الريحية في الحلس في العام 2005 في محطة الرصد الريحية الحديثة في الحلس بسبب اكتمال ملف البيانات بنسبة 99% وعدم وجود أعطال في تجهيزات القياس خلال هذا العام. |
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تم في هذا البحث معالجة السلاسل الزمنية لسرعات الرياح المرصودة وتحليل البيانات باستخدام الإصدار رقم (10) من برنامج Wind Atlas Analysis and application program (WAsP) لحساب أطلس وتقدير الاستطاعة الكامنة للرياح ومعدل كثافة الاستطاعة ورسم الخارطة الريحية لكثافة الطاقة في الموقع. |
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تمت معالجة البيانات واجراء المحاكاة الحاسوبية لعدد من العنفات الريحية واختيار العنفة الريحية المناسبة باستخدام برنامج Windographer النسخة رقم (4.02) |
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تم اختيار المواقع المناسبة لتركيب العنفات الريحية استناداً لخارطة كثافة الطاقة التي تم انجازها باستخدام برنامج WASP. |
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الذي يعتبر حالياً أقوى البرامج المستخدمة في تحليل بيانات الرياح وحساب أطلس الرياح والتنبؤ بالمناخ الريحي وتقدير الطاقة الكامنة في الرياح [7]. |
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الطاقة الكامنة في الرياح: |
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تتأثر الطاقة الكامنة في الرياح بثلاث عوامل رئيسة وهي سرعة الرياح وكثافة الهواء ومساحة سطح الدوران للعنفة الريحية[9] ويعبر عنها بالعلاقة: |
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![](data:image/png;base64,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) |
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حيث: (P): الطاقة الكامنة في الرياح (W) |
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(u): معدل سرعة الرياح (m/s) |
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![](data:image/png;base64,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) |
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(A): مساحة االجزء الدوار من العنفة(m2)، |
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((Cp: معامل كفاء تحويل طاقة الرياح. |
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ويتم تقدير الاستطاعة الكامنة في الرياح من خلال الحصول على قياس سرعات الرياح خلال فترات زمنية طويلة تحتوي على تذبذبات الرياح الاضطرابية السريعة التي من شأنها أن تساهم في كثافة استطاعة الرياح النظرية [8]. |
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ويعبر عن معدل كثافة استطاعة الرياح المتاحة خلال مجال زمني T بالعلاقة: |
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![](data:image/png;base64,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) |
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يمكن أخذ كثافة الهواء في هذه المعادلة كثابت بمقدار خطأ أقل من ±0.01 فتصبح العلاقة على الشكل التالي: |
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![](data:image/png;base64,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) |
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تستخدم تقنيات التحليل الاحصائي لتحديد امكانية توليد الطاقة من الرياح في موقع معين وتقدير انتاجية العنفات الريحية قبل تركيبها في الموقع وتمت مناقشة هذه التقنيات من قبل العديد من المؤلفين ومنهمJustus,1978))،Johnson,1985))، (Nelson,1994) [9]، ويتم التعبير عن معدل كثافة الاستطاعة بالعلاقة: |
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![](data:image/png;base64,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) |
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حيث f(u) تابع الكثافة الاحتمالي لـ ويبل (Weibull) الذي يعطي تكرار حدوث سرعات الرياح. |
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يعتبر توزع ويبل ذي المعاملين (A,k) وسيلة لتمثيل صياغة التوزع التكراري لسرعات وتعطى قيمتي معامل الشكل(k) بالعلاقات التالية: |
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![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQAAAAA8CAYAAACJvWQEAAAEXElEQVR4Xu2b0ZKkIAxFt///o3fXrnKWYpHcKAY0Z956xJCcJFew6c/vv3+/+IMABFIS+CAAKfNO0BD4EkAAKAQIJCaAACROPqFDAAGgBiCQmAACkDj5hA4BBIAagEBiAghA4uQTOgQQAGoAAokJIACJk0/oEEAAqAEIJCaAACROPqFDIKUAfD6fb+b3n0HUn7dr2//4mQQN8nYCUwXgTJN576nHl5/Lxq//T/O/vfSJ7/ugm/VjIG8jl+k6undv6H3s1sSWANRj9vFX/KO0IPAUAlMEYERzqTYsAdi3Aq3GV+d4SrLxEwI1gXABGNlUiq2WANQrhN5nSgYCbybwegF4c/KIDQJXCSwnAPU+vnw6/7d84U391fxzf3ICoQJgLdnPvIm3bCbPL+FDoEtgGQFoNbLS3MoYagACEGgTQACoDAgkJrCsALRO57XyxAogcfUS+mUCpgCojah40mvW1iGeqzaV+8+MOXNYyDq85Dl52LNV2ym5lkefPfOdYcQ9/wjU77bqF9szH2KmAGzOjnJwlJ2yuO6w2Svesvm3cVYjKQKqxtCz1bpmHYKyfKeJrxPo5WBmHe9zmwKgFqeCaqStnwACvwpUk+nxTWWijLP8s64rOWSMj0Dr6d8SXiW/vpm10bIAtJaS2hTtpZD33qPxUeBa84xY1tcrinpVoawgjgRHafgofqPy/TQ73rqJXpW5BODIuVIcygS19qOjA4wqYE8i922TukVo/WipXh56bKmCMHJ797TGjPC3V5veerrLX0kA9smvNu8dzXqHzRbsswmznuCelZViq8wRK4C72kaz+xoBUJ9QNRZlBXC0ejhCrNjU0uMbdVYArPcB5RZAFdje1gMB8OV15OhaoB8vAPULDEsILJh3PK3vsDlyBdBjcjdfVgBWRY69rgqAKuBjvWtb624BlALyOGk1q/ouod4fq09Oj6/12BaLo62RGofC12Or5Y+1xbBycoVZ9ntrgbe20jNyYb4DGJnEOwK8w+ZRzJFzjeSeJZ4IZp45PPXiGevxwRqLAFiEquuzEuV00xz+ljjMQCcPUDmr40aHgwCcIDorWSdcbd7ydP9HcYiwo7JWx432GQEYTRR7EHCuGmc1/+YmAkC5QiAxAQQgcfIJHQLLCED9Hep3eSL80EcZQ5ohAIE2gVABsJpa+V68DIPmp6whcI0AAnCNH3dD4NEEpgjARsw606883ZUxj84OzkPgZgLhAnC0DWgdm+wd8aX5b64MzKcgMEUAWiJQn1lvvRTcM0Lzp6hNggwgME0ArBeCR7HT/AFVwRRpCEwVgDSUCRQCixJAABZNDG5BIIIAAhBBmTkgsCgBBGDRxOAWBCIIIAARlJkDAosSQAAWTQxuQSCCAAIQQZk5ILAoAQRg0cTgFgQiCCAAEZSZAwKLEkAAFk0MbkEgggACEEGZOSCwKAEEYNHE4BYEIgggABGUmQMCixJAABZNDG5BIIIAAhBBmTkgsCiBP/tr73qisqutAAAAAElFTkSuQmCC) |
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وتعطى قيمة معامل القياس(A) بالعلاقة : |
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![](data:image/png;base64,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) |
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هناك عدة طرق يمكن أن تستخدم لملائمة معاملي ويبل لتوزع تكراري ما، والذي يعطي تكرار حدوث سرعة الرياح في عدد من مجالات السرعات، نذكر منها استخدام ورقة ويبل وطريقة أصغر المربعات أو طريقة الجوازية، وطريقة التقدير العزمي[11]. |
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شدة الاضطراب في سرعة الرياح: |
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يُعرَّف الاضطراب بأنه مقدار الفرق بين القيم الآنية ومعدلها والمقياس الأساسي للاضطراب هو شدة الاضطراب. |
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تتكون الاضطرابات من حركات دورانية غير منتظمة تسمى بالدوامات، تتشكل بسبب تبدد الطاقة الحركية للرياح إلى طاقة حرارية وتتولد معظم الاضطرابات بسبب تأثيرات سطح الأرض، ويكتسب الاضطراب أهميته من تأثيره على انتشار الملوثات ونقل وانتشار الرطوبة والحرارة خصوصاً في حالات عدم الاستقرار الجوي [11]. |
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قد يكون للرياح المضطربة متوسط ثابت نسبيًا على مدار فترات زمنية تبلغ ساعة أو أكثر ولكن في أوقات أقصر (دقائق أو أقل) قد يكون متغيرًا تمامًا. |
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تتكون الرياح المضطربة من ثلاث مركبات، الأفقية الجانبية والعمودية وتم تحديد المركبة الأفقية في اتجاه الرياح السائد u(z,t)، المركبة الجانبية هي v(z,t) والمركبة الرأسية (العمودية) هو w(z,t) ويمكن تحليل المركبة الأفقية u إلى جزأين أحدهما يمثل معدل سرعة الرياح الأفقية (U) والآخر يمثل الجزء المضطرب u ̃)) وبالتالي: |
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![](data:image/png;base64,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) |
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وبالتالي يمكن التعبير عن قيمة الاضطراب في سرعة الرياح الأفقية بالعلاقة : |
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![](data:image/png;base64,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) |
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ويمكن أن تتحلل المركبة الجانبية والعمودية إلى معدل وجزء مضطرب بطريقة مماثلة. |
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لا يتم ملاحظة الرياح المضطربة اللحظية بشكل مستمر ويتم أخذ عينات منه في الواقع بمعدل مرتفع نسبيًا، بافتراض أن الفاصل الزمني للعينة هو δt ، ∆t=N_s δt حيث N_sعدد العينات خلال كل فترة قصيرة المدى يمكن التعبير عن الرياح المضطربة على شكل سلسلةu_i يمكن بعد ذلك التعبير عن معدل سرعة الرياح على المدى القصير في شكل عينات بالعلاقة: |
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![](data:image/png;base64,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) |
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معدل سرعة الرياح الأفقية على المدى القصير U هو الأكثر استخدامًا في ملاحظات السلاسل الزمنية وتمت في هذا البحث الدراسة على المركبة الأفقية لسرعة الرياح. |
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يعتبر حساب شدة الاضطراب بالطرق التحليلية أمر غير ممكن، لذلك تم الاستعانة بالطرق الإحصائية لإيجاد قيمة شدة الاضطراب كمؤشر للاضطراب. |
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تُعرَّف شدة الاضطراب بنسبة الانحراف المعياري للقيم المقاسة لسرعة الرياح Standard Deviation (STD) إلى قيمة معدل تلك القيم. |
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ويتم تحديد شدة الاضطراب T_I من العلاقة: |
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![](data:image/png;base64,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) |
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الانحراف المعياري (STD) σ_u: هو الجذر التربيعي للتباين بالنسبة لمجموعة البيانات الإحصائية . |
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التباين: هو معدل مربعات انحرافات العلامات في التوزيع عن الوسط الحسابي. |
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يعتبر الانحراف المعياري القيمة الأكثر استخداماً من بين مقاييس التشتت الإحصائي لقياس مدى التبعثر الإحصائي، أي أنه يدل على مدى امتداد مجالات القيم ضمن مجموعة البيانات الإحصائية . [15] |
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وقد اعتمد زمن 10 دقائق كفترة زمنية يحسب عليها معدل سرعة الرياح كما أقرت ذلك لجنة علوم الغلاف الجوي في المنظمة العالمية للأرصاد الجوية WMO عام 1971 [1]. |
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يتم حساب الانحراف المعياري σ_u بالعلاقة: |
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![](data:image/png;base64,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) |
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غالبًا ما تتراوح قيمة شدة الاضطراب بين 0.1 و 0.4، وبشكل عام تحدث أعلى شدة للاضطراب عند أدنى سرعات للرياح، ولكن القيمة المحددة الأقل في موقع معين ستعتمد على ميزات التضاريس المحددة وظروف السطح في الموقع [9]. |
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1.3.جمع البيانات وتحليلها: |
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يوضح الجدول (1) إحداثيات محطات الرصد في موقع الحلس. |
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الجدول (1) إحداثيات محطات الرصد في موقع الحلس-القنيطرة |
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![](data:image/png;base64,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) 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حيث تمت سابقاً تركيب محطتي رصد لقياس بارامترات الرياح، الأولى تم تركيبها من قبل المديرية العامة للأرصاد الجوية وهي مخصصة لأغراض الرصد الجوي، وتم تركيب محطة القياس الحديثة بارتفاع 40[m] في إطار مشروع تقييم مصادر الرياح في سورية وهي محطة خاصة بالقياسات الحقلية لمزراع الرياح، |
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محطة القياس الحديثة في الحلس |
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تم تركيب المحطة في موقع مفتوح من جميع الاتجاهات ولا يوجد عوائق ذات أهمية في محيط البرج. |
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1.1.3معدل سرعة الرياح: |
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يوضح الجدول(2) المعدلات الشهرية لسرعة الرياح عند الارتفاعات 40-10 [m] |
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الجدول (2) المعدلات الشهرية لسرعة الرياح في الحلس 2005- |
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) 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من خلال تحليل ملف القياسات لعام 2005 نلاحظ ارتفاع قيمة المعدلات الشهرية لسرعة الرياح خلال أشهر الصيف والربيع مقارنة مع أشهر الشتاء حيث بلغ معدل سرعة الرياح خلال شهر حزيران 6.7[m/s] ويمثل الشكل(1) المعدلات الشهرية لسرعة الرياح خلال عام 2005 . |
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) 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الشكل (1) المعدلات الشهرية لسرعات الرياح في الحلس 2005 |
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Wind speed AVE-40m-معدل سرعة الرياح عند 40[m] |
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Wind speed AVE-10m معدل سرعة الرياح عند 10[m] |
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2.1.3 وردة الرياح في الحلس: |
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تم تمثيل بيانات سرعة واتجاه الرياح بشكل بياني يعبر عن وردة الرياح في الموقع عند الارتفاعات 10-40[m] |
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) 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الشكل (2) وردة الرياح خلال عام 2005 |
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وضحت وردة الرياح في الشكل (2) أن الاتجاه السائد لورود الرياح هو الاتجاه الغربي إلى الجنوب الغربي بنسبة 75% مع ورود نسبة 20% من جهة الشمال إلى الشمال الشرقي الأمر الذي يجب مراعاته عند اختيار الموقع بأن يكون مفتوح من جميع الاتجاهات لا سيما الجنوب إلى الجنوب الغربي والشمال إلى الشمال الشرقي، وتوضح وردة الرياح ارتفاع قيمة معدل سرعة الرياح بشكل واضح في إتجاه الجنوب الغربي. |
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3.1.3.التوزع التكراري لسرعة الرياح: |
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من خلال التحليل الاحصائي لبيانات عام 2005 عند الارتفاع 40 [m] تم تحديد توزع نسبة تكرار سرعات الرياح خلال عام 2005 حيث بلغت قيمة معامل الشكل لتوزع سرعات الرياح k=1.84 وتعتبر قيمة جيدة وقريبة من توزع رايلي الذي يعتبر التوزع المثالي عند قيمة k=2 وتعبر عن توزع نموذجي للرياح خلال أيام السنة ويوضح الشكل (3) نسبة التوزع التكراري لسرعات الرياح عند الارتفاع 40 [m] خلال عام 2005. |
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) 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الشكل (3) التوزع التكراري عند الارتفاع 40[m] خلال عام 2005 |
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بلغت قيمة معامل القياس C=6.97 [m/s] وتعبر هذه القيمة عن ورود معدل جيد لسرعات الرياح خلال كامل أيام السنة ويبين الجدول (3) أطلس الرياح المحدث في الموقع. |
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الجدول (3) أطلس الرياح المحدث موقع الحلس2005- |
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) 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4.1.3 . شدة الإضطراب في موقع الحلس |
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بلغت أعلى قيمة لمعدل شدة الاضطراب 0.156 عند الارتفاع 40[m] ووردت أعلى قيمة لشدة الاضطراب خلال شهر أيلول كما هي موضحة في الشكل (4). |
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) 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الشكل (4) معدل شدة الاضطراب في الحلس |
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2.3.اختيار العنفة الريحية المناسبة للموقع: |
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1.2.3. المواصفة IEC61400-1 |
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يتم اختيار صنف العنفة الريحية (Class) المناسب لموقع ما تبعاً لسرعات الرياح التي من الممكن أن تواجهها خلال مرحلة التشغيل وسيتم تحديد صنف العنفة المناسب في هذه الدراسة طبقاً لمواصفات اللجنة الدولية الكهروتقنية IEC61400-1-2019 التي ميزت العنفات الريحية تبعاً للسرعات في أربع أصناف يرمز لها بالأرقام اللاتينية Class I/II/III/S [13]. |
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ويبين الجدول (4) معايير تصنيف العنفات الريحية وفق المواصفة القياسية IEC-61400-1-2019. |
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الجدول (4) تصنيف العنفات وفق المواصفة IEC-61400-1-2019 |
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![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQUAAAEyCAYAAADz6cWEAAAYkElEQVR4Xu2d24LrJhJFp///ozPxmSiD6boiQCDWeUnaQlCsorYKLPDPX3//+w//IAABCPxD4AdRYCxAAAIlAUSB8QABCHwRQBQYEBCAAKJQj4Gfn5//rLi0gl3fnlqVx9s05StT+EDnHwQgcB6B8qHI9OE8/9NjCJgEEAUGCAQgwJoCYwACENAJkCkwOiAAATIFxgAEIECmwBg4iED5LdqMr5ql9kZ+fTqy7s8wWWL6MNuJPeOj/hr3Mwivz2YMSKsvpR1P2zSz/VHjSQvGHqKQCfRM2Zax/rgorDRwmwBW73YgCjLFmaLw52nX6YW0enxqQm+1p/U9WndU+FvGr3TPMqLwMe7pJ2sLVDKFGLVdRaEUGC/wv14A+udhUT4kLlJ1uatMdPyXdozg+rgoXNDLoRWFExuOY0shCjG+Iwav1vIVNHXw1AFajzNremAFbt2e1r40xqWyVznJHq9vkjBlH7hLiEIJIduB2JAcVwpRiLGdLQr1U7kOMMkeqUwpBtE1BWuNwWujpKmJQh0jkiiVZbJTqcdFoZ5XIQqxIIuUWontLFGoRTrCSctS6+C2gjTbTt3mqLqlKYtn6+OiUE8fdpo6aFOfWQHgOleY1z7F9wkmLQJhpd/eE7elveshiCh4o5nrEFiAgJbqjzDNE5wRbaprMhzHNhM3bc0mIM3v1WAovsZ8IrOZzQZRWIU4dkwlEBEFLe1/aqo1FZDQ2BJrCk9DoP2zCUSE4yRCiMJJ3qavEAgQQBQCkCgCgZMIIAoneZu+QiBAAFEIQKIIBE4icLworPT9cDnwsOt3GK7K5G2CwRHvb/Mo/YFAAwGOeG+Axi0QOIXA8dOHUxxNPyEQJYAoRElRDgKHEEAUDnE03YRAlACiECVFOQgcQgBROMTRdHMugZ33UyAKybEi7aizTvi9qp+14y6y5XfWgLVsidiZdE234pn3IbSyoxlnbMyCQRSyxKry1qCYJQSXSaUtq9ilnSh0sRk5uFtdG7EpEvSReu7Y+Ll3xBhDFFq98vd9ltOfeBJGRWHUYJJQvlUUPn31fFz33SufGYoa1x6ZKaKQ8UQwSyiLjXxaaEEYCfpZdq0qCvU0UPothivwvemhdP3qd/1fa7jVom750ROF+t6MvxGFwaLgDawbzf+6NZIpzBasVUXBetJbHKOBW08vyiyh/n9pKhXJKqRMRPp9ioww/eHCGY3tYRlV32i5dkv+dyeiECcYmfpJqXidYUhPc6mMZJn061F1OesHa8pgj/Y8sgaBKERpBqYO2kB7WhSetGvVTMHzSf2kv9wfEYU6Gyv/loLcGoI9RKEUH0ShMeAjt7UOqkjdd8p4aac22O+0qd1rteXZOcKeHlMnLWVvtdcbR3W9tShFgjxrG5lClhjlX0EgKkrRNYQolLv1zRB1RCHqTcq9ioA3DdDWBXo8mWcE9h1nIQp36HHv1gQi0xtpIXHrTgeMRxQCkCgCgZMIIAoneZu+QiBAAFEIQKIIBE4igCic5G36CoEAAUQhAIkiEDiJAKJwkrfp6xYEsi809e4UotCbKPVBIEGg/lr0aUH4mI4oJBxI0XcTeOKlIkkUPpStPRI9XqCyPIkovHuc07sEgSdEoTbP2rx2lUUUEk6lKATuEngifS/3YVjtz7KNTOHuKOL+VxGYHZRXe5EsRdqhKU017joEUbhLkPtfQ6AM0NbTkLIwvI1ZV321bZGsoXVHJqKQ9SLlX0tAelpLwdjydNae8mVd1nZua0Gyvk8Tt6jdiMJrhzgdyxDQtkprdViHtX7usQJVEoKynezpTPUCpNWXyCIlopAZOZQ9goAWVNaxZlYmkIVmBW5tmyZOGTGryyIKWY9RHgICgV6LgJG1As8Bd+tAFDzCXD+SgDW/l4BY2cVogK0Lippd24nCXRW84yBpnljX5/1wSHSxp8XOlqdV5KuwFluue7T6s0F3x4aWe1vsi6T2LbZE7unpx21FYbY41GrsLTSVjpxhq7aw9bFDa3+0XZF2R9sQCSjKfBNAFBpGhDSQrcHd8tTJmHW1HQnCWqxGZy5S/RGBzfSfsn0JIApJntnAG50xRALMexp715OIfhWXpjUr/+r03f7ufv9wUbAGRA3Pmn/WPwA68gnnOTWbKYwShgjbaMBHy3lstOuaeI1ut9Xek+8bLgrlnLZOc62nnFcWUfj/CzL1ANZ+Qdka6KODE1HYR2aGikL55L+CuM4G6jLSAJfKRN7MGuWGO0/okcG3ql3lg8H6/1H+ot4cgeGi8GTw5lDYpbWpTT3IpVqse3vbWM7VrQzisvsqM8JPHrMns72e3N9WF6LwNo/SHwjcJIAo3ATI7e8gkJ3WWYviu2dAiMI7xjS9uEkgIwqRr6Uz9d00/dftd9seKgq9O0t9EBhFoP52xHraX1mCtMW5x/sXd4O6XOfSbLU4IgqjRhn1Lk9A+po0E5DWtz3ReqSgjXyL5MFtEYOrTkTBo8v1VxLQ3oMpgykSWHffv/BEobYz6gztq//It0yIQpQy5V5FQAsaqZPeoSfaeY7WjtnrwJb6vxZkb7oScRCiEKFEmSMJSN8etLxPks0UpLWLa/2ibP9yinbakzTF0BwZEYLyXjKFI0OCTkfn/BIpSzy8KYcWzOnA/fn5+hUpr92MxxGFDC3KvobAHVG4A0HLBrJ1SvVcGUe2rro8onCXIPdvSWAVUchmCF9p/t/ZQvnvTl1MH7Ycxhjdk8BTotCzD6PqIlMYRZZ6IbApAURhU8dhNgRGEfgSBW3xYlTj1AsBCKxB4Otgnr//+GsNs56xYtW5JXb9Hg+rMnlm5I5rlenDOLbUDIEtCSAKW7oNoyEwjgCiMI4tNUNgSwKIwpZuw+jRBCKvDbfslcjaPaON2iZEIeslym9LIBNgs0VBW0TN2Hw5RrsnulCLKGw7xDE8SyATYNE9CtFA02yN2JRtw9ptGfmyEVHIjizKb01ACjDts6uj5ZkHv1LtareiBMcLai8r8e6XbPp8Vp/zEK0HUdh6iGN8hkAkrS4DpwxWS0zqa9LfpZ3SYSllEJdlr7oibdS/+YEoZEYHZY8kEAmwrCiU2UQ5p9d+uk/KCqxMQRIyqR+a3R+btH6rU5rT32g8MjoO7XQdYNLc20Ij/cixVr48MSmKW8sgovd7tjN96EGSOl5FoH4i3xGFOsWvQfUQBa0Nr27purUu8mtNgkzhVeOezmxKIPoUv9O9aBssNN6hzL0QKAhEvl7sDWxEm4hCby9R37EERgSoB3NEm4iCR53rEDiMAKJwmMPpLgQ8AoiCR4jrEDiMAKJwmMPpLgQ8AoiCR4jrEDiMAKJwmMPpLgQ8AoiCR4jrEDiMAKJwmMPpboxA9O2/WG17lUIU9vLXH2u1XXXW59quvQ27P8XkJ0TB2x4d6Xi9W7LF74hChPSCZawBJA2M7PbZBbv8iEnWtmbJoJLz53rkpKOrHsmnXh3SJi/vXAUPJKLgEVr0OqIw1jE9gjubbUjlvTok0dIeAF5d/4oTuyTHDq5RtWsDSHqy1IMkOjhG2b5SvVYgtmZX1n0We8unF7P6NKUyyyjLWGLh8SdT8Agtej2aKdSpaetAXxTDbbMi4urN07WAzTz5tWmA1raWybQKUgkSUbg9rJ6pAFHow/0KRq826bzDMivT6smeplSvB3h2adelQ1WiGSKi0Er94fsyomCVfbgbjzcfFYVWQ58ShTp7+fyNKLR6cYP7yoEsnRuYWfHeoLvHmGhNUzIQrPERGRtkChnalIVARwLlOkItCOXUpGOToaoQhRAmCkGgPwFpcVFK+/u3bNeIKMwmTnsQWJwAorC4gzAPArMJIAqzidMeBBYngCgs7iDMg8BsAojCbOK0B4HFCSAKizsI8yAwmwCiMJs47UFgcQKIwuIOwrw9CEhvEUZfK27p4dC62Trd4hLugcD/CWh7S0YF7uidrmQKjG4I3CSgBb/06vKnKW+/inQWQmmiJwp3xQhRuDkguB0CEVGIBrUX0JEdr14dnscQBY8Q1yHgEIhOH6LrDlZQS1u9rTMYIrsi6+4hCgx5CNwkEBEFa1u0JALR7CNzb7SbiEKUFOUgYBCIZAF1GWntwFpPuCMUGechChlalIXAAQQQhQOcTBchkCGAKGRoURYCBxBAFA5wMl2EQIYAopChRVkIHEAAUTjAyXQRAhkCx4uC9DJIBiBlIfAGAl+vXrMh6g0uPaMPd1/fPYPS/V4enyncR0gNEHgXAUThXf6kNxC4TQBRuI2QCiDwLgKIwrv8SW86EfDONPg0I+136NT8v9XMaKO2GVHo7UXqW5ZAJsBmi4K12ekCGt0GrfUzulCLKCw7hDGsN4EWUShtkIIyGmhaXyI2ZdvQzlyI1oMo9B551Lc0gej5A9I251ZR8ILRy0q8+3+l/z8/fz4qD1/5/H+0HkRh6SGMcT0JRNLq+jCUK7gsMamvSX9bGUfkDIVIG/UJTIhCz9FDXa8kcAWWFWBZUZDm+1795VO8XLDUMpG6Dakfmt1X/WQKrxzSdOouAWlKkKlTOoVZu/8Kwtb6S7HI1OHZE1msZPrQgzh1bEGgTtOlBTmrI1pAWQt7GTBWwGYETRIkMoWMJygLgQUIRBcB75gabYNM4Q5l7oVAQSDy9WJvYCPaRBR6e4n6jiUwIkA9mCPaRBQ86lyHwGEEEIXDHE53IeARQBQ8QlyHwGEEEIXDHE53IeARQBQ8QlyHwGEEEIXDHE53IeARQBQ8Qlw/kkD0RZ83wkEUNvSqt6vu06X6PX3r7w0RDDf5CVHwdkJGOl1vjGrxO6IQIb1gGWsrb2luvaPuicG+IL6wSZYAS5WUvGtx9hrVtlxH9kTU26Q/bUl7PdgQ5Xlh4+vRpwqi0ObkHsGdFeCo0Neir2WG0TFSEyJTaBszj98l7Z+/jKqfBgiD7i4rEGtuUadb91lCodlStitlBGVWcAmElOFERQpRiHp6sXLZuSPCIDvQCkQtJdfOVYicdKQFppbqa37WMplWQfrKPvjZuMWiPWgOohAE5RS7gtGrTQr4Mm3X6pGyNqut+kg1zy7tunR+AplCK81N7suIQuvcchMUt8yMikJrI0+JgjSVRBRavbjBfeVAlp4skRXmDbp5nImW0GdgSOPjWneIjA3WFDK0KQuBjgTKdQRp4TgSwB3N+bcqRGEEVeqEQICAtLgopf2BqroWQRS64qQyCOxPAFHY34f0AAJdCSAKXXFSGQT2J4Ao7O9DegCBrgQQha44qQwC+xNAFPb3IT2AQFcCiEJXnFQGgf0JIAr7+5AeQKArAUShK04qg8A3Ae2V9FFvK0b3N1h+QhQYxRAYREDbiNYjcCWTW89/qOtCFAYNCKqFgHV2greRTTsk5UNVyzIQBcYcBBYnEBGFsgt3DkjpuT2eTGHxgYV5+xKITh+i6w7WtEM6F6J13QJR2HfMYfniBCKikDks59PdaPZxZ90CUVh8YGHe3gQiWUBdJrueEBWKKElEIUqKchA4hACicIij6SYEogQQhSgpykHgEAKIwiGOppsQiBJAFKKkKAeBQwggCoc4mm5CIErgeFEY/WMgUUdQDgJPEvj6KTx+Nu5JV9A2BNYjcHymsJ5LsAgCzxJAFJ7lT+sQWI4AorCcSzAIAs8SQBSe5U/rixKQ9h/Upmo/5NqzSzPa+NUvFhp7upC6ViaQCbDZomBtarqYRrdCa/2M7pwkU1h5FGNbVwItolAaIAVlNNC0jkRsyrahna0QrQdR6DrsqGx1AlJgaJ+VT+g725O9YPSyEu9+bVpTHvn2+f9oPYjC6qMY+7oRiKTV9aEnn8a1gLrK1sEm/W1lHJYoZNqoz31EFLoNHSp6K4FIgGVFQZrvWyIhCYAnCnUbUj80uz/3av1WpzQsNL41BOiXllaXT/8Mpa9XgX9+zFuv7KK1/iuYM/dbZZk+9CJJPa8iUD+RpQU5L7Ck69bCXgag9e1CPfWxbJcECVHIeIKyEFiAQHQR8I6p0TZYaLxDmXshUBDQFjJHQhrRJqIw0mPUfRSBEQHqARzRJqLgUec6BA4jgCgc5nC6CwGPAKLgEeI6BA4jgCgc5nC6CwGPAKLgEeI6BA4jgCgc5nC6CwGPAKLgEeL6kQSiL/q8EQ6isKFXs1ttvV18GyIYbvITotDDT/XGqHq/RuSgFkRh+PAa04A2aKX3+8v33p8Y7GMIzKnVE+DainJH4udaJAivOiRR8OrQ/P25z7pm0UMU5oyt7q1IwW1tqc1un+1u8GYV9gjurABbPtXwSaKl+TpqD6Kw2WC1nir1oRp1WYTht7Mj4hoNJo132apVl2ZLeb/l46tcuUuS6cOmAd5idnbuWAtCdqC32LjDPVYgSgGopfhlmm+Jb+u075oOSKcp3W371xSIQ1Z2GLr2E+5KIetS0lOCbOGbksZOY6lNKyI+KOf52qirj1RrHZ3S+QnRBwHTh1bqD9+XSUOlp1tmAezhrg5tPioKrUbUnL32eolCOZXQppzqOgWZQqu7n7uvHFgjjh1/rmdnt2xNCTNktPFBppChSFkIPECg/OagFoRynWC2aUwfZhOnPQj8Q6D+OtHLAGeBQxRmkaYdCGxCAFHYxFGYCYFZBBCFWaRpBwKbEEAUNnEUZkJgFgFEYRZp2oHAJgQQhU0chZkQmEUAUZhFmnYgsAkBRGETR2EmBGYRQBRmkaadIwlILyRFXzfOAKv3VNzZ24IoZMhTFgIJAtpGtFGi0HJ2gtQdRCHhZIpCIEPAOjtB2g1ZB/WnLe+zy56eO2ERhYyXKQuBBIGIKJTVtRzOUopCWRfTh4SjKAqBWQSi04fousOdMzQyfSZTyNCiLAQSBCKiYJ2hIIlANPu4s26BKCScTFEIZAlEsoC6TL2l+tOm9Fk99WD6kPUO5SEAgRABMoUQJgpB4BwCiMI5vqanEAgRQBRCmCgEgXMIIArn+JqeQiBEAFEIYaIQBM4hcLwoeD/Occ5QoKcnE/h6nZofgzl5KNB3CPwmcHymwKCAAAS+CSAKjAgIQOCLAKLAgICAQMB7rfhzy4xfdJrRRt19RIGQOIZAJsBmi4K10elyUHQ7tNbP6CYpROGYkKCjLaJQUhvxC98Rm6LBfNkqfaP2sT1aD6JArBxFILodWdq52CoKXjB6WYl3/6/0/+fnz0fl6U6IwlHDnM5GCUTS6vp8gyu4LDHRzk3Qnty1uFiicNUdaaM+4g1RiI4Myh1LIBJgWVGQ5vtWAGfPSpCETOqHZve1IEqmcOywp+MWAWlKkCEmHaKq3X8FYWv99bcbmXqksojCXYLc/0oC9VNaWpCzOq6t/lsLexmQ1rcLGUGTBAlRyHiCshBYgEB2MbHF5GgbfPvQQpd7ICAQiHy92BvciDYRhd5eor5jCYwIUA/miDYRBY861yFwGAFE4TCH010IeAQQBY8Q1yFwGAFE4TCH010IeAQQBY8Q1yFwGAFE4TCH010IeAQQBY8Q1yFwGAFE4TCH090Ygejbf7Ha9iqFKOzlrz/Walttrc/rzTzRU3w2xNPF5CdEwdseHelYvVuyxe+IQoT0gmW87bnaXvonBvuC+MImWWcdSJWU25o/1zPiK/nUq0Pa5OWdq+B1HlHwCC163Qpu6WmhnSWwaPceN6tHcGcFWCrv1SGJluZrr64LOqLw+PBrMyAqCtd0o9w6Gx0cbZbtdZcViK1Cat2X8Vs5Vbyo1hngv4H8zxFsV2ZhiYXnIUTBI7TodW1weZ+3DvRFMdw2SxOFMm335ulawGae/No0QGtby2RaBakEiSjcHlbPVOAFf21VPVjIFv5H6ApGz4vSGk0tHFId2nmMWnv1eoBnl1VP7eOozxGFVuoP35d9CrWsQj/cxSnNR0Wh1ZinRKHOXi4BjCx8Igqt3n7wvnIgW0+WyAB4sBs0XRGwpikZWNL4QBQyBCkLgYcIlOsItSCUU5PZ5pEpzCZOexD4h4C0uCil/bOBIQqzidMeBBYngCgs7iDMg8BsAojCbOK0B4HFCSAKizsI8yAwmwCiMJs47UFgcQKIwuIOwjwIzCaAKMwmTnsQWJwAorC4gzAPArMJIAqzidPeMQS019FHvX6uvd6cBY4oZIlRHgIBAtoOxehOxUATX0Vad0RK7SAKWfqUh0CAQGRru/Vk116B1rKMnmKDKAQcTBEIZAlERKGs0zvIxZtyIApZD1EeApMJRKcP0W3OXtAzfZjsYJqDQJZARBS88xMygZ4p6/WF6YNHiOsQaCQQ+fbBOjBHO6pdM4dvHxodxW0QgIBNgEyBEQIBCHwRQBQYEBCAAKLAGIAABHQCZAqMDghAgEyBMQABCAQzhdE/jIEjIACBNQl8/VjQ33/8taaZ86zy3habZwktWQTw05zxwZrCHM60AoFtCCAK27gKQyEwhwCiMIczrUBgGwL/BSD9hrWQfKN6AAAAAElFTkSuQmCC) 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ونظراً لتزايد الأحمال الميكانيكية والاجهادات التصميمية التي تتعرض لها العنفات الريحية بازدياد مستوى الاضطراب فقد تم تصنيف العنفات الريحية تبعاً لمستوى الاضطراب لأربع فئات هي A+/A/B/C، ولهذا لا بد من تحديد الفئة المناسبة من العنفات الريحية استناداً إلى قيمة شدة الاضطراب في الموقع. |
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لاعتبارات فنية خاصة بالموقع و طرقات الوصول تم في هذه الدراسة تقدير معدل سرعة الرياح عند أكثر من قيمة للارتفاع المتوقع لبرج العنفة الريحية وذلك بسبب تزايد أبعاد العنفات الريحية بهدف التقاط أكبر قيمة ممكنة من الطاقة، وبذلك سنتمكن من دراسة أكثر من موديل من العنفات الريحية لاختيار الصنف المناسب عند أكثر من قيمة لارتفاع البرج . |
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لتحديد صنف العنفة ( Class ) تم حساب معدل سرعة الرياح وأقصى هبة عند الارتفاع حتى200[m] في منطقة الحلس ويوضح الجدول رقم (5) نتائج الحساب والصنف المناسب. |
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الجدول (5) نتائج تقدير سرعة الرياح في منطقة الحلس |
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![](data:image/png;base64,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) 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ومن نتائج تحليل بيانات الموقع المسجلة بفاصل زمني 10 دقائق تبين أن قيمة معدل سرعة الرياح في منطقة الحلس قد بلغت6.2[m/s] عند الارتفاع 40[m] كما بلغت أقصى هبة مسجلة 23.87[m/s] عند الارتفاع 40[m]، وأعلى سرعة للرياح مسجلة عند 10[m] كانت18.82[m/s] كما تبين أن أعلى قيمة لمعدل شدة الاضطراب 0.156 عند الارتفاع 40[m] وبالعودة إلى المعايير سيتم اختيار العنفات من الفئة B على الأقل وبالتالي تصلح للموقع العنفات من الفئات A+/A/B وبالتالي يمكن اختيار عنفات ريحية من الصنف ClassII من الفئات (A+/A/B) حتى ارتفاع 935[m] عن سطح البحر كما يمكن اختيار عنفات ريحية من الصنف ClassIII من الفئات (A+/A/B) عند اختيار عنفة ريحية بارتفاع برج أقل من 80[m] مع مراعاة أن الدراسة تمت عند ارتفاع 935[m] عن سطح البحر. |
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2.2.3.العنفات المقترحة للدراسة |
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مع مراعاة الأصناف والفئات المحددة للمنطقة فقد تم اختيار عنفات ريحية من جهات مصنعة ذات خبرة وباستطاعة تتراوح بين 2-3 [MW] وهي على الترتيب: |
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1-Vestas - V100-2MW CLASS IEC IIB |
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2-Gamesa -G80-2MW CLASS IEC IIB |
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3-Vestas - V112-3MW CLASS IEC IIB |
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4-Nordex -117-3MW CLASS IEC IIB |
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3.3.المواقع المقترحة في منطقة الحلس: |
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تم اختيار المواقع التي تتركز فيها أعلى كثافة للطاقة حيث تركزت على التلال المنتشرة في الموقع والتي تعتبر مرتفعة نسبياً مقارنة مع تضاريس المحيطة ويبين الشكل (5) خارطة الرياح في منطقة الحلس المستخلصة من برنامج WASP. |
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) 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الشكل (5) الخارطة الريحية في القنيطرة -الحلس |
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استناداً للخارطة الريحية تم تحديد أفضل أربعة مواقع مناسبة من حيث توفر كمون ريحي مناسب ويوضح الجدول (6) المواقع المقترحة. |
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الجدول (6( المواقع المقترحة |
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![](data:image/png;base64,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) |
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ملاحظة: تم تحديد المواقع وقياس المسافات وتحديد مستويات الارتفاع باستخدام (Google Earth) مع توقع خطأ نسبي بسيط في الاحداثيات ومستوى الارتفاع. |
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4.3.المحاكاة الحاسوبية: |
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تم تقدير انتاج العنفات الريحية من خلال اجراء محاكاة للمنحني التصميمي لإنتاج العنفة مع بيانات الرياح المقاسة في الموقع باستخدام البرنامج المتخصص Windographer وقد تم تقدير ضياعات في الانتاج بنسبة 12.5% تمثل كافة الضياعات الكهربائية والميكانيكية المحتملة في مشروع المزرعة الريحية بما فيها احتساب الاتاحية الفنية للعنفات الريحية وضياعات الأثر الذيلي وضياعات الأداء في العنفة الريحية مع تقدير نسبة 2% ضياعات كهربائية. |
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1.4.3.المحاكاة لعنفات باستطاعة 2 [MW] |
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1-العنفة من النوع فيستاس |
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VESTAS – V100-2MW CLASS IIB |
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العنفة متوفرة مع برج بارتفاعين 80-95[m] ، تم إجراء المحاكاة للعنفة بارتفاع برج 80 [m] مع مراعاة فارق الارتفاع 45[m] بين الموقع المقترح (4) وموقع محطة الحلس وبالتالي ستتم اجراء المحاكاة وتقدير انتاج العنفة عند الارتفاع 125[m]. |
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2-العنفة من النوع غاميسا |
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CLASS IIA Gamesa -G80-2MW |
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العنفة متوفرة مع برج بالارتفاعات التالية 60-67-78[m] ولضرورة المقارنة تم إجراء المحاكاة للعنفة بارتفاع برج 78[m] وبالتالي سيصبح ارتفاع المنطقة المدروسة 123[m] في الموقع المقترح (4)، |
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2.4.3.المحاكاة للعنفات باستطاعة] 3 [ MW |
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1-العنفة من النوع فيستاس |
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VESTAS - V112-3MW CLASS IIB |
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العنفة متوفرة مع برج بالارتفاعات التالية 84-94-119[m] تم إجراء المحاكاة للعنفة بارتفاع برج 94 [m] في المقترح (4) وبالتالي سيصبح ارتفاع الدراسة 139[m]. |
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2-العنفة من النوع نورديكس |
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CLASS IIB Nordex -117-3MW |
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العنفة متوفرة مع برج بالارتفاعات التالية 91-120-141[m] ، تم إجراء المحاكاة للعنفة بارتفاع برج 91[m] في المقترح (4) سيصبح ارتفاع الدراسة 136 [m]. |
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![](data:image/png;base64,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) |
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4. النتائج والمناقشة: |
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4-1). من البيانات المقاسة في الجدول (2) بلغ معدل سرعة الرياح خلال شهر حزيران 6.7[m/s] عند الارتفاع 40[m] ووضح أطلس رياح المحدث في الموقع في الجدول (3) والمستخلص من برنامج WASP الكثافة العالية لطاقة الرياح عند الارتفاعات 50-100[m] حيث بلغت كثافة الطاقة 732[W/m2] عند الارتفاع 50 [m] وهي تعبر عن كمون ريحي جيد في موقع الحلس. |
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4-2). وضح نموذج التوزع التكراري الذي تم استنتاجه من معالجة بيانات الموقع والموضح في الشكل (3) أن قيمة معامل الشكل لتوزع سرعات الرياح k=1.84 وتعتبر قيمة جيدة وقريبة من توزع رايلي الذي يعتبر التوزع المثالي عند قيمة k=2 وتعبر عن توزع نموذجي للرياح خلال أيام السنة. |
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4-3). بينت النتائج الموضحة في المخطط البياني في الشكل (4) أن قيمة معدل شدة الاضطراب بلغت 0.156 عند الارتفاع 40[m] وبالتالي فإن صنف الاضطراب في موقع الحلس عند الارتفاع 40[m] هو من الصنف B وفقاً للمواصفة IEC-61400-1 وبالتالي يمكن تركيب عنفات ريحية من جميع الفئات(A+/A/B). |
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4-5).بلغت أقصى هبة مسجلة في الموقع 23.87[m/s] عند الارتفاع 40[m]، 18.82[m/s] عند الارتفاع 10[m] وبالتالي تعتبر العنفات ريحية من الصنف ClassI أو ClassII مناسبة للموقع. |
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4-6). يوضح الجدول (7) المعدلات الشهرية لإنتاج العنفات باستطاعة2[MW] في الموقع المقترح (4) حيث بدى واضحاً ارتفاع إنتاج العنفة فيستاس بنسبة 18.3%. |
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الجدول (7( نتائج المحاكاة للعنفات باستطاعة 2 [MW] |
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![](data:image/png;base64,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) |
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4-7).يوضح الجدول (8) المعدلات الشهرية لإنتاج العنفات المدروسة باستطاعة 3 [MW] في الموقع المقترح (4) حيث بدى واضحاً ارتفاع إنتاج العنفة فيستاس بنسبة صغيرة 0.21% وبالتالي تبين أن العنفة الريحية من النوع فيستاس مناسبة أكثر في موقع الحلس مقارنة مع العنفة الريحية من النوع نوردكس. |
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الجدول (8) نتائج المحاكاة للعنفات باستطاعة 3 [MW] |
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4-8). تبين من خلال المخطط البياني في الشكل (5) أن العنفة الريحية من نوع فيستاس |
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VESTAS - V112-3MW CLASS IIB |
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باستطاعة 3 [MW] تحقق أعلى إنتاجية وبالتالي هي العنفة المناسبة من حيث الاستطاعة والصنف والفئة وفقاً لبيانات الموقع ويوضح الشكل (6) مقارنة نتائج محاكاة العنفات باستطاعة 2 [MW] مع العنفات باستطاعة 3[MW] |
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) 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الشكل (6) نتائج المحاكاة الحاسوبية |
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![](data:image/png;base64,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) |
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5- الاستنتاجات |
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5-1-تتمتع منطقة الحلس بكمون ريحي جيد يمكن الاستفادة منه لإنشاء مزرارع ريحية للمساهمة في تلبية جزء من تنامي الطلب على الكهرباء لا سيما خلال فترة النقص الحاد في الوقود الأحفوري. |
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5-2-يمكن الاستفادة المرتفعات في منطقة الحلس -القنيطرة ولك بهدف الوصول إلى أقل قيم أقل لشدة الاضطراب مما سيسمكن من تركيب عنفات ريحية بأبعاد قطر دوار أكبر وريش أكبر طولاً للحصول على أعلى انتاجية من طاقة الرياح في الموقع. |
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5-3- إن توفر البيانات الدقيقة عن تغير سرعات واتجاه الريح هو أمر حيوي عند تقييم المواقع لإنشاء مزارع الرياح ومن الضروري عند التخطيط لإنشاء مزرعة ريحية في الحلس-القنيطرة أن يتم دراسة التضاريس بشكل دقيق واختيار المواقع النهائية للعنفات بعناية لتكون بعيدة عن التضاريس المعقدة التي تزيد من شدة الاضطراب. |
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5-4-تتمتع الجمهورية العربية السورية بالعديد من المناطق الواعدة ريحياً لإنتاج الطاقة الكهربائية لكن واقع تقييم مصادر الرياح لا يزال ضعيفاً بشكل عام الأمر الذي يستوجب تحديث أطلس الرياح اعتماداً على محطات الرصد الريحية الحديثة ووفق المنهجيات العالمية المعتمدة وباستخدام البرمجيات الخاصة في تقديرات طاقة الرياح ليكون نواة لبناء قاعدة بيانات يستفاد منها في مشاريع مزارع الرياح والنواحي البحثية وتطوير التقنيات بهدف تحقيق الاستثمار الأمثل لموارد الرياح في سورية. |
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المراجع:
• المراجع العربية:
[1] الجمهورية العربية السورية. (1998).أطلس الرياح. دمشق: المديرية العامة للأرصاد الجوية.
[2] كرش، ع.، القزاز، و.، حمودي، و.،(2014)،"علم الإحصاء"، وزارة التعليم العالي والبحث العلمي، العراق،154.
[3] كرم الدين،ماجد.محمود.وبيدة، آمال (2010)، رياح التغيير في أنظمة الطاقة العالمية والعربية الكهرباء من الرياح،المركز الإقليمي للطاقة المتجددة وكفاءة الطاقة، جمهورية مصر العربية.
• المراجع الأجنبية
[4] GWEC.(2021).Global Wind Statistics 2019. Belgium.
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[13] IEC.(2019)Wind turbines Part 1: Design requirements. International Electrotechnical Commission, Third ed. Switzerland.
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[15] Karsh, E,. ALkazaz, W,. Hamody, W, (2014) .Statistics Science. Ministry of Higher Education and Scientific Research. Iraq, 154p
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) 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