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Increasing energy efficiency in bakery ovens

Increasing energy efficiency of the gases production process in bakery ovens

Chelmenciuc Corina | Thermal Power Engineering and Energetics Management Department

Abstract. The current work presents the solution of increasing energy efficiency of the processes of obtaining gases, used as heat carrier for baking processes in tunnel type ovens, by integration of cogeneration. A comparative energetic analysis was carried out between the processes of obtaining gases in bakery ovens and those with integrated cogeneration. The evaluation of energy efficiency, of the proposed technical solution, is based on drawing up the energy balance of processes, the one with gases production in the combustion chamber of classic bakery oven and that of the internal combustion engine. The evaluation of energy efficiency of the classical gas production process in the tunnel type oven is based on experimental data whereas the efficiency of method proposed in this work is based on theoretical data. The energetic analysis was performed in order to demonstrate that the integration of a cogeneration installation in bakery ovens contribute to reducing losses in the processes of obtaining gases, thus increasing the energy efficiency.

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Thermal Environmental Conditions for Human Occupancy

FREE ACCESS: 2020 ASHRAE 55

PUBLIC REVIEW DRAFT STANDARDS

Climatic Data for Building Design

Protected: Brewing & Distilling

Protected: Rodeo

IoT Enabled Smart Gardening

Nikhil Sukhdev – Naman Nahata

PES University, Bangalore, India

Sunil Sridhara – Gnana Swamy

CTAS Development

Abstract: Internet of Things (IoT) is the interconnection of physical objects and devices to the internet and in turn to each other to aid decision making. This paper deals with automation of gardening systems using IoT. With water resources becoming ever so scarce by the day, it has become imperative that we use water extremely judiciously in all walks of our daily life. We track the environmental conditions such as humidity of the soil, and temperature and take an appropriate route towards the problem. Based on the data collected, we run algorithms which help keep the garden in good condition and at the same time using resources optimally.

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