لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
نهمین کنفرانس بین المللی فناوری و مدیریت انرژی
Modeling of Light and Carbon Dioxide Concentration in Energetic Dark Greenhouse (EDG)
نویسندگان :
Sara Mahmoodian Yonesi
1
Yazdan Alvari
2
Roghayeh Gavagsaz-Ghoachani
3
Majid Zandi
4
1- دانشگاه شهید بهشتی
2- دانشگاه شهید بهشتی
3- دانشگاه شهید بهشتی
4- دانشگاه شهید بهشتی
کلمات کلیدی :
Energetic Dark Greenhouse،Water, Environment, Food and Energy Nexus،carbon dioxide
چکیده :
Food systems face escalating challenges, driven by the pressures of a changing climate, resource scarcity, and limited arable land, putting our capacity to feed the growing global population at risk. In the face of these constraints, there is a critical need for advanced technologies that enhance food security while mitigating the environmental impact associated with modern agriculture. Controlled Environment Agriculture (CEA) emerges as a promising cutting-edge technology capable of intensifying food production in an environmentally sustainable manner. In the context of this paper, Controlled Environment Agriculture involves cultivating crops in vertically stacked hydroponic beds under exclusive LED lighting within a controlled environment, encompassing vertical farms or plant factories. Such systems have the potential to yield significantly higher crop volumes using a fraction of the land, water, and nutrients compared to conventional field agriculture or even greenhouse production. In this research, a solution is proposed to create sustainable security in the four interconnected dimensions of water, environment, food, and energy, with a volumetric perspective. This solution is a kind of CEA with emphasis on energy security, as well as food and water security and environment preservation. this solution called "Energetic Dark Greenhouse," which is a closed and controlled engineering system for agricultural production. In this study, a mathematical model is presented for artificial lighting and the required concentration of carbon dioxide for plant growth, and practical experimental results in the Energetic Dark Greenhouse validate this model. In the conducted experiment, the effect of light intensity and carbon dioxide concentration on plant growth is examined, and suitable values for these parameters are suggested. It can be concluded that the appropriate light treatment for this type of plant (leafy vegetables) is about 14(μmol.m^(-2).d^(-1) ). Furthermore, the research revealed that due to the substitution of artificial light containing only the visible spectrum, water consumption in Energetic Dark Greenhouse has been reduced by approximately 90% compared to traditional greenhouses.
لیست مقالات
لیست مقالات بایگانی شده
Investigation of Hexagonal pin-fin in Jet Impingement Annular Heat Sink
Mohamad Hossein Razlansary - Mohammad Zabetian taraghi - Mohammad mehdi Heyhat - Mohsen Mashhadi keshtiban
Using Long Short-Term Memory Networks as Virtual Wind Direction Sensors for Improved Wind Farm Turbines Orientation
Amirhossein Karamali - Abolghasem Daeichian - Saber Rezaei
Distinctive Hardening of Distribution Networks Against Magnetic Attacks using Advanced Materials
Hamidreza Amiri
بررسی پتانسیل کاهش مصرف انرژی الکتریکی در صنایع فولاد و آهن کشور
مرتضی مهرگو - وهاب مکاری زاده
Prediction of Electric Vehicle's Annual Accessibility to Chargers for Providing Ancillary Services Using an Efficient Random Forest Method
Saeed Naghdizadegan Jahromi
برنامه ریزی تصادفی فرایند بازیابی سیستم های قدرت در حضور نیروگاههای خورشیدی
سجاد نجفی روادانق - پویا سلیانی - حمیدرضا فیروزی - عادل محسنی - نیما نصیری
Presenting cascade pressure swing distillation for separation of minimum boiling azeotropic mixtures to reduce energy consumption
Aida Azemati - Negar Safaran - Mohammd mahdi Amiri
بهبود سیستم کنترل توان حقیقی توربین گازی کلاس E در لحظه ی سنکرون با شبکه سراسری براساس طراحی و پیاده سازی عملی در نیروگاه گازی اردکان
مجتبی حیدرزاده قره ورن - مهدی باشوکی - نصرالله فیروزی - مهدی حیدرزاده قره ورن
Technology and Energy Management in Material Science
Mazyar Zand - Hamidreza Yazdani Sarvestan - Mahdieh Zakizadeh
Analysis and Comparison of Reactive Power Optimization Using Improved Genetic Algorithm and Improved Quantum Particle Swarm Algorithm in an Active Distribution Network
Hamidreza Amiri
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.8.1