Towards sustainable farming: Feasibility study into energy recovery from bio-wastes on a small-scale dairy farm

Anaerobic digestion (AD) of farm biomass is growing importance as it offers environmental benefits and the biogas produced from AD which can be used as fuel for co-generation of heat and electricity. The study aimed to explore the viability of energy recovery from bio-wastes on a small-scale dairy farm to produce biogas using AD and the gas used as biofuel to fuel a combined heat and power (CHP) which generated electrical power and heat for the farm. The AD and the CHP system was designed and simulated using ECLIPSE software. Various ages of cow manure were sampled, analysed and used as an AD feedstock and it was found that as cow manure aged the amount biogas produced from anaerobic digestion was decreased; a reduction in biogas production of 5.76% was found over two months, and in the subsequent two months the reduction rate was found to accelerate, leading to a 16.92% reduction after four months. That means cow manure should be used as an AD feedstock as soon as possible, as carbon lost in the form of methane (CH4) occurs naturally in the atmosphere, accelerating over time. Early insertion of fresh manure into an anaerobic digester can significantly increase biogas production and subsequently reduce emissions of CH4, which has a global warming potential (GWP) of twenty-five times that of carbon dioxide (CO2). The simulation results indicated that enough energy can be recovered from the quantity of cow manure available on the farm to provide the electrical and heating energy demands of the farmyard and the attached dwellings, thus creating a sustainable farming system. In combination with the environmental benefits, it was determined that a substantial annual revenue could be generated from utility bill savings and current favourable incentive rates available to promote renewable energy technologies in farming industry in the UK

The Phase Space as a New Representation of the Dynamical Behaviour of Temperature and Enthalpy in a Reefer monitored with a Multidistributed Sensors Network

The study of temperature gradients in cold stores and containers is a critical issue in the food industry for the quality assurance of products during transport, as well as forminimizing losses. The objective of this work is to develop a new methodology of data analysis based on phase space graphs of temperature and enthalpy, collected by means of multidistributed, low cost and autonomous wireless sensors and loggers. A transoceanic refrigerated transport of lemons in a reefer container ship from Montevideo (Uruguay) to Cartagena (Spain) was monitored with a network of 39 semi-passive TurboTag RFID loggers and 13 i-button loggers. Transport included intermodal transit from transoceanic to short shipping vessels and a truck trip. Data analysis is carried out using qualitative phase diagrams computed on the basis of Takens?Ruelle reconstruction of attractors. Fruit stress is quantified in terms of the phase diagram area which characterizes the cyclic behaviour of temperature. Areas within the enthalpy phase diagram computed for the short sea shipping transport were 5 times higher than those computed for the long sea shipping, with coefficients of variation above 100% for both periods. This new methodology for data analysis highlights the significant heterogeneity of thermohygrometric conditions at different locations in the container

Colour measurement and analysis in fresh and processed food: A review

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