Prediction of Residential Building’s Solar Installation Energy Demand in Morocco Using Multiple Linear Regression Analysis

Abstract

The building sector is one of the main energy-consuming sectors in Morocco. In fact, it accounts for 33% of the final consumption of energy and records a high increase in the annual consumption of energy caused by further planned large-scale projects. Indeed, the energy consumption of the building sector is experiencing a significant acceleration justified by the rapid need for the development of housing stock, wich is estimated at an average increase of 1,5% per year; furthermore, tant is an estimated increase of about 6,4%. In this sense, building constitutes an important potential source for rationalizing both energy consumption and energy savings through the adoption of energy efficiency measures. Energy consumption control efforts in the residential building sector involve socio-economic, technological, and environmental concerns that require sophisticated research. Indeed, different types of quantitative models have been developed and examined so as to find a solution for the optimizing energy consumption. In this work, we have highlighted the importance of using solar heaters to reduce energy demand in terms of the use of domestic hot water. To do this, we have defined the needs and characteristics of a solar installation of a residential building located in Casablanca through a calculating tool “SOLO 2000” in addition to the use of multiple linear regression analysis to deduct the impact of irradiation and solar contributions on the energy demand of the solar installation.