Strategies for Reduction in Energy Consumption of Residential Multistoried Buildings A Case of Gurugram

Abstract

The thesis attempts to underscore the need to reduce energy consumption in existing newlinemultistoried residential buildings by retrofitting. Energy use in residential buildings is newlinerising sharply with growing no. of households using air conditioning, indoor living style newlineand higher affordability. A case of the city of Gurugram is taken up for study to prove the newlineposit of bringing energy savings by retrofitting the ubiquitous multistoried group housing newlinefor energy efficiency. newline newlineThe study endeavours to take cross section of multistoried housing by taking up stratified newlinesamples from eight group housing schemes across the city, representing a sample newlinepopulation of 4608 flats from public, private and cooperative group housing societies. newlineThe study points high variation in energy consumption of users due to high diversity newlinefactors in occupancy schedule, HVAC schedule, appliance usage etc. Based on energy newlineconsumption, households are classified in three energy use intensity (EUI) categories i.e. newlineNormal EUI case with mean EPI 68.9 kWh/m2/year, High EUI case with mean EPI 97.4 newlinekWh/m2/year and Low EUI case with mean EPI 42.7 kWh/m2/year. An attempt is made newlineto derive schedules of activity, lighting, equipment and HVAC for residential buildings newlinefor defining base case for simulation as per ECBC 2017. newline newlineSelected design strategies to reduce energy consumption are climate responsive, cost newlineeffective, easily achievable and non intruding to users. Parametric runs of energy newlineefficiency measures are conducted to find out optimum values of retrofit parameters. newlineBased on the affordability of users and energy reduction targets, three modules are newlinedevised for retrofitting such as Energy Efficient model yielding 25.3% reduction in newlineenergy consumption with wall components; Energy Efficient Plus model yielding 54.8% newlinesavings with solar PV panels on roof and wall components, Energy efficient Super model newlineyielding 69% savings with roof, wall and other components. newlineResults of simulations are integrated with life cycle cost analysis to help owners to take newlineinformed de