Abstract

The continuing importance of energy conservation in the building sector has drawn major attention to energy audits of existing buildings in different climates. In this paper, the energy conservation potential of a residential building located in Iran’s cold climate was investigated through an analysis of its actual energy consumption and through computer simulation. The building base-load was determined using a linear regression method based on existing energy bills, and was used to validate the computer simulation of its energy usage. The impact of typical energy saving solutions was evaluated for three cost refurbishment scenarios: low, medium and high. The results show that the existing construction and envelope materials fail to meet the national standards of Iran, but insulating the envelope was found to be a more cost-effective measure than modifying the windows. The results also demonstrate that although the use of energy-saving solutions has a significant impact on energy consumption, even the most economic solutions investigated will have a payback period longer than one decade. Thus, with current energy prices the reviewed energy conservation strategies are not economically justified in Iran from the consumer perspective, as investment in the methods considered typical in other parts of the world will not show a return for at least a half-century.

Highlights

  • Carbon dioxide (CO2 ) emissions produced as a result of burning fossil fuels to provide energy for buildings, significantly contribute to global warming and climate change [1,2,3]

  • The results demonstrate that the use of energy-saving solutions has a significant impact on energy consumption, even the most economic solutions investigated will have a payback period longer than one decade

  • The second approach known as the inverse to develop an energy analysis model capable of producing representative building parameters such approach (Figure 2), suggests that the available climate, efficiency, and energy use data can be used as the building load coefficient (BLC), the building base-load, or the building time constant

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Summary

Introduction

Carbon dioxide (CO2 ) emissions produced as a result of burning fossil fuels to provide energy for buildings, significantly contribute to global warming and climate change [1,2,3]. Ruiz et al [31] addressed a multi-objective optimization model to minimize energy use in buildings in a cost-effective way, while at the same time retaining comfort standards for the building occupants This optimization algorithm considers a set of retrofit actions including windows, roof insulation material, external wall insulation material, and installation of a solar collector. For this purpose, the data related to a typical building in this cold climate has been analyzed and used in EnergyPlus software (version 7.5, University of Illinois, Champaign, IL, USA), and after validation, three categories of low-cost, medium-cost and high-cost scenarios have been shown to compare the initial investment and payback periods

Case Study
Location and Climate Specifications
Building Architecture
Building Energy Consumption
Linear the of natural gas consumption the heating
Energy Conservation Opportunities in the Envelope and Windows
Energy Optimization Scenarios
Findings
Conclusions
Full Text
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