Data-Driven Construction and Operating Cost Decision Support Through Techno-Economic Analysis: Residential Case Study

Author:

Karaiskos Panos1,Sulbaran Tulio1

Affiliation:

1. The University of Texas at San Antonio, US

Abstract

Construction and operating costs of residential buildings are important. Because, it can help designers, builders, owners, and renters make informed decisions about where and what to buy or rent. One of the most significant operating costs of residences is energy cost. More specifically, heating, ventilation, and air conditioning account for as much as 35% of the overall energy consumption of buildings in the world. Thus, the problem that this research paper addresses is the decision trade-off of construction costs vs. operating costs. Therefore, this paper aims to perform a techno-economic analysis of exterior residential wall-type alternatives in a warm-humid climate. The research followed a quantitative methodology using a virtual case study with multi-objective analysis. The results of this study show the significant importance of the building’s infiltration on the operational savings and the return on investment (ROI) of the different types of exterior residential walls. and emphasizes the importance of a holistic approach to energy conservation regulations. The novelty of this study is the emphasis on the importance of infiltration in pre-construction decision-making. The broader impact of this result is that the International Energy Conservation Code (IECC) and similar standards could be revised to reduce energy consumption and reduce greenhouse gas emissions produced during energy generation

Publisher

Firenze University Press

Reference21 articles.

1. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling)

2. Building Energy Codes Program, D. (2018). BUILDING ENERGY CODES www.energycodes.gov BUILDING ENERGY CODES PROGRAM Residential Provisions of the 2018 International Energy Conservation Code. www.energycodes.gov

3. Evaluation of the optimal thermal insulation thickness for an office building in different climates by means of the basic and modified “cost-optimal” methodology

4. Department of Energy, U. (2015). AN ASSESSMENT OF ENERGY TECHNOLOGIES AND RESEARCH OPPORTUNITIES Chapter 5: Increasing Efficiency of Building Systems and Technologies.

5. electricityplans.com. (2023). Average cost of electricity in Texas. https://electricityplans.com/average-electricity-bill-in-texas/#:~:text=The%20average%20cost%20of%20electricity%20in%20Texas%20is%2014.63%20cents,both%20electricity%20and%20delivery%20costs.

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