HYDEL POWER GENERATION FROM MULTI STOREY BUILDING SEWERAGE

"HYDEL POWER GENERATION FROM MULTI STOREY BUILDING SEWERAGE" Exemplary aspects of the present disclosure are directed towards the " HYDEL POWER GENERATION FROM MULTI STOREY BUILDING SEWERAGE" consisting of Waste Water Collection Arrangement (WWCA) 001, Water-Level Monitoring Devi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bireddy, Srinivasa Reddy, G, Sreenivasulu Reddy, KHAN, AMER ALI, NBV, LAKSHMI KUMARI, MOHAMMED, SAJID, J, Dhanraj Pamar, Shaik, Mahaboob, Mirzana, Ishrat Meera, MAAZ, AHMED, MOHAMMED, ARSHAD, JAVED, SYED, K, Sarupya Santhosh
Format:	Patent
Sprache:	eng
Schlagworte:	CESSPOOLS CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER DYNAMO-ELECTRIC MACHINES ELECTRICITY FIXED CONSTRUCTIONS FUNCTIONAL ELEMENTS OF SUCH SYSTEMS GENERATION MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING SEWERAGE SEWERS SYSTEMS FOR STORING ELECTRIC ENERGY WATER SUPPLY
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	"HYDEL POWER GENERATION FROM MULTI STOREY BUILDING SEWERAGE" Exemplary aspects of the present disclosure are directed towards the " HYDEL POWER GENERATION FROM MULTI STOREY BUILDING SEWERAGE" consisting of Waste Water Collection Arrangement (WWCA) 001, Water-Level Monitoring Device (WLMD) 100, and an Electricity-Generating Unit (EGU) 200. Waster-Water Collection Arrangement (WWCA) 001 comprises Plurality of sub-storage system 002 collecting sewerage/ waste-water, Filter arrangement 003 and Storage-Tank 004. Water Level Monitoring Device (WLMD) 100 encompassing Microcontroller 103, Water-level sensors 103a, and Outlet-Value control 103b. Electricity Generating Unit (EGU) 200 comprises Horizontal-Turbine 201, an Electrical Generator 202, and an Inlet-Arrangement 203 and Outlet-arrangement 204. Microcontroller 101a executes the relevant machine learning algorithm in coordination with Water-level sensors 103a identifies the exact amount of water in the Storage-tank 004 and sub-storage tanks 002. Based on the prediction system, microcontroller 103 opens the Outlet-Value control 103b, thereby releasing the water through Inlet-Arrangement 203 on to Horizontal-Turbine 201 to rotate the Electrical-Generator 202. The electricity produced is stored/utilized for the building lighting-system. Acquire Water level in sub-storage tanks 002 and 004 using sensors 103a Execute Relevent machine learning algorithm on water level sensor 103a data and accertain maximum waste-water flow rate and there by maximum power 302 that can be generated. Execute Relevent machine learning algorithm on water level sensor 103a data 303 and accertain the optimal timings to which the Outlet-Value control 103b of enneerned tankscn he nnernt 7 Either the predicted optimal timing or power level reaches threshold value 304 then turn on the Outlet-Value control 103b of concerned tanks. 305 Measure the energy produced through the Electricity Generating Unit (EGU) Intimate the user about the predicted and actual energy generated 307 Close the Outlet-Value control 103b either optimal timing or the water level reaches threshold value, and intimate the user FIG3 300 Process Executed Water-Level Monitoring Device (WLMD)