Build It Right 

 Design for Energy-Efficient Homes

Who We Are ?

We are trainees in the data science and artificial intelligence camp presented by SDAIA. The idea of ​​our project is an application designed to help you improve your energy efficiency. This tool allows you to input various parameters related to your house design and provides recommendations to improve energy efficiency based on predicted cooling and heating loads.

Project Team :
Raghad Alamoudi - Amjad Alabdullah
Ashjan Almutairi  -Shatha Alduhayan
Osama Alkhazan


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His Royal Highness Prince Mohammed bin Salman bin Abdulaziz

Crown Prince, Prime Minister, & Chairman of the Council of Economics and Development Affairs

" CLIMATE ACTION WILL ENHANCE COMPETITIVENESS, SPARK INNOVATION AND CREATE MILLIONS OF HIGH-QUALTY JOBS. YOUNG PEOPLE, BOTH IN THE KINGDOM AND THE WORLD, ARE DEMANDING A CLEANER, GREENER AND MORE INCLUSIVE FUTURE, AND WE OWE IT TO THEM TO DELIVER ON THIS." 

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Vision 2030

Sustainability is a key part of Saudi Arabia’s Vision 2030 as the Kingdom strives towards a Net Zero future by 2060. With a commitment to clean energy and sustainability, the Kingdom is leading the charge in tackling energy and climate challenges with innovative solutions such as the Circular Carbon Economy (CCE) and an increasingly diverse energy mix, in which 50% of energy will come from renewable sources by 2030.

☁️ Best offers ☁️ Free delivery ☁️ Perfect design ☁️ Comfort ☁️ Support 24/7 ☁️ Vibes
☁️ Best offers ☁️ Free delivery ☁️ Perfect design ☁️ Comfort ☁️ Support 24/7 ☁️ Vibes

Our Features 

01.

Cooling and Heating

- Display the cumulative energy requirement calculated from both cooling and heating demands. This could be visualized through graphs or numeric displays that show annual or monthly energy consumption estimates.

02.

Recommendations on Insulation Materials 

 - Based on the heating and cooling loads, suggest the most effective insulation materials. This can include a comparative analysis of different materials, their costs, benefits, and sustainability ratings.

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 Future Aims 

in Design for Energy-Efficient Homes

DATA EXPANSION

COLLECT MORE DATA TO IMPROVE THE
ACCURACY AND RELIABILITY OF PREDICTIONS.

LOCATION-BASED PREDICTIONS

ALLOW LOCATION INPUT FOR TAILORED
RECOMMENDATIONS ON HOUSE SHAPE,
ORIENTATION, AND MATERIALS.

ADVANCED MATERIAL RECOMMENDATIONS

INCORPORATE ENVIRONMENTAL IMPACT DATA TO
RECOMMEND THE MOST SUSTAINABLE MATERIALS

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Energy Efficient Homes

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THE REVIEWER

vision2030.gov.sa

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