Balancing crop production and energy harvesting in organic solar-powered greenhouses

Author(s):  
Eshwar Ravishankar ◽  
Ronald E. Booth ◽  
Harald Ade ◽  
Heike Sederoff ◽  
Brendan T. O'Connor
2021 ◽  
pp. 100381
Author(s):  
Eshwar Ravishankar ◽  
Melodi Charles ◽  
Yuan Xiong ◽  
Reece Henry ◽  
Jennifer Swift ◽  
...  

Author(s):  
Edwar Romero ◽  
Michael R. Neuman ◽  
Robert O. Warrington

Energy harvesting from environmental sources such as motion, light, and temperature changes, has been demonstrated with commercially viable products (such as human-powered flashlights, solar-powered calculators, and thermal-powered wristwatches). Vibration or motion is an attractive environmental energy source due to its abundance and availability. A new electromagnetic energy harvester presented here is found to be capable for scavenging energy from human motion. The electrical power output of an inertial energy scavenger is proportional to the acceleration-squared-to-frequency (ASTF) and the quality (Q) factor. Human motion is associated with large ASTF values and low Q factors while machine vibrations are usually related with the opposite. Thus, passive energy harvesting from human activities could generate as much power as the one available from machine harvesters. The limit for such inertial generator is estimated to be on the order of 1mW/cm3. This paper reviews the energy harvesting limits, the energy generation from human activities, and the development of a new oscillating electromagnetic generator. This energy harvester is built with a permanent magnet (PM) ring with multiple poles and a gear-shaped planar coil. The PM ring has attached an eccentric proof mass for converting external movement into oscillations or rotations, these oscillations induce an electrical potential on the planar coil. As much as 3.45μW of power have been generated with a prototype at a frequency of 2.7Hz on a laboratory shaker and 2.35μW had been obtained when positioned laterally on the hip while walking.


2013 ◽  
Author(s):  
C. Viehweger ◽  
T. Pfeifer ◽  
T. Keutel ◽  
O. Kanoun

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1391 ◽  
Author(s):  
Sergio Herrería-Alonso ◽  
Andrés Suárez-González ◽  
Miguel Rodríguez-Pérez ◽  
Raúl F. Rodríguez-Rubio ◽  
Cándido López-García

Sunlight is one of the most frequently used ambient energy sources for energy harvesting in wireless sensor networks. Although virtually unlimited, solar radiation experiences significant variations depending on the weather, the season, and the time of day, so solar-powered nodes commonly employ solar prediction models to effectively adapt their energy demands to harvesting dynamics. We present in this paper a novel energy prediction model that makes use of the altitude angle of the sun at different times of day to predict future solar energy availability. Unlike most of the state-of-the-art predictors that use past energy observations to make predictions, our model does not require one to maintain local energy harvesting patterns of past days. Performance evaluation shows that our scheme is able to provide accurate predictions for arbitrary forecasting horizons by performing just a few low complexity operations. Moreover, our proposal is extremely simple to set up since it does not require any particular tuning for each different scenario or location.


Author(s):  
B S Kanthraju ◽  
Akshay Kumar G ◽  
Kiran Kumar C ◽  
Chandan B ◽  
Kiran Kumar P M

Today’s technology is marching closer to the speedy boom of all sectors such as the rural sector. To meet the future food demands, the farmers should put into effect the brand new strategies so as to now no longer have an effect on the soil texture however will growth the general crop production. The intention of this work is to fabricate and design a solarpowered multi operated machine .The seed sowing machine is a key element of the rural field. The numerous technology utilized in India for seed sowing and fertilizer placement are guide, ox, and tractor operators. The guide and ox operator strategies are time-ingesting and productiveness is low. The tractor is strolling on fossil gasoline which emits carbon dioxide and different pollutants each second. This proof has caused sizable air, water, and noise pollutants and most significantly has caused a actual electricity disaster withinside the close to destiny, with a view to make the improvement of our farmer in addition to country sustainable and motive much less damage to our environment. Now the method of this mission is to broaden the multi operated machine that’s to reduce the running price and the time for digging in addition to function on easy strength


Author(s):  
Lungelihle Jafta ◽  
Nnamdi Nwulu ◽  
Eustace Dogo

Energy for heating and cooling is among the biggest costs in greenhouse crop production. This has led to a rethink on energy-saving strategies, including the demand for solar energy as a viable renewable and sustainable choice for greenhouse farming. This chapter presents the development of a solar-powered system leveraging on internet of things and GSM technologies for sensing, controlling, and maintaining optimal climatic parameters inside a greenhouse. The proposed system is designed to automatically measure and monitor changes in temperature, humidity, soil moisture, and the light intensity. The strategy utilized in the design framework provides the user with the information of the measured parameters online and via SMS regardless of their geographical location. The chapter also incorporates a mechanism to self-regulate the climatic condition inside the greenhouse, suitable for the plant growth. Such a system can help improve the quantity and quality of crops grown in a greenhouse. Tests carried out on the system prove its effectiveness according to the design considerations.


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