Author : Kamran Sayeed 1
Date of Publication :18th April 2017
Abstract: Today, renewable energy (RE) sources have become an increasingly important part of power generation, as the reserves of fossil fuels get closer to depletion. Among the available RE technologies (such as solar, rain, wind, tidal, geothermal), wind and solar energy sources are the most promising options, as they are omnipresent, freely available, and environment friendly. Due to increased demand for fossil fuels and their limited supply, “Green Energy†is an important concept in today’s world. However, there are few drawbacks associated with green energy since they are sporadic. As a result, energy management is utmost important to ensure maximum efficiency. The current work aims to develop a fuzzy logic system which obtains weather forecast information from the Internet, battery SOC, and based on set of rules, it determines the efficiency in which the system should run in order to obtain maximum efficiency. The fuzzy logic system provides several merits over classical control system, they are cost efficient, incorporate a wide range of operating conditions, and are more customizable in natural language terms. These systems can be easily incorporated in the hospital or in medical spaces. Further, based on predefined operating conditions for each economy level and the current room conditions, HVAC systems in hospitals are operated. The control information is sent from the Raspberry Pi to the Arduino Uno through ZigBee protocol. The room conditions data (i.e. temperature and humidity) is sent to ThingSpeak platform wherein it can be viewed in real-time and monitored. Laboratories in hospitals produce may produce fumes and harmful by-products, which have to be expelled out via an exhaust system. In addition to it in emergencies such as fires, proper ventilation for expelling smoke is essential. HVAC system is essential in hospitals and it is responsible for reducing the spread of air-borne diseases by providing proper ventilation and maintaining healthy atmosphere.
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