| dc.description.abstract | This thesis presents a comprehensive design and cost estimation analysis of Mechanical, Electrical,
and Plumbing (MEP) systems for a Design and cost estimation of Mep system for 4 storied
residential building At Nikunjo Triplex. The aim of this study is to develop an efficient and cost
effective MEP design that meets the building's functional requirements, energy efficiency goals, and
budget constraints.
The research methodology involved a detailed review of relevant literature, building codes, standards,
and best practices related to MEP systems design for high-rise buildings. Based on this review, a
systematic approach was adopted to develop the design parameters, system layouts, equipment
selections, and cost estimation models for the MEP systems.
For the mechanical system, considerations were made for the HVAC (Heating, Ventilation, and Air
Conditioning) system design, including load calculations, equipment sizing, ductwork layout, and
energy efficiency measures. Various HVAC technologies and configurations were evaluated to
optimize comfort levels while minimizing energy consumption and operational costs.
The electrical system design focused on power distribution, lighting design, and emergency backup
systems. Load calculations, voltage drop analysis, and electrical safety standards were considered to
ensure reliable and efficient electrical supply throughout the building.
In addition, plumbing and fire protection systems were designed to meet water supply, drainage, and
fire safety requirements according to local regulations and industry standards. The plumbing design
included pipe sizing, fixture selections, and water conservation measures, while the fire protection
system comprised sprinkler systems, fire alarm systems, and emergency evacuation plans.
Cost estimation models were developed for each MEP system component, considering factors such as
material costs, labor costs, equipment prices, and installation expenses. A comprehensive cost
analysis was conducted to determine the total project budget and identify opportunities for cost
optimization without compromising system performance or quality. | en_US |
