A Multi-dimensional Study on Impact of Energy Efficiency on Life Cycle Cost of a Single-Family Residential Building

Author(s):  
S. Shifad ◽  
Pratikshya Pati ◽  
Bibhuti Bhusan Das
Buildings ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 215
Author(s):  
Bojana Petrović ◽  
Xingxing Zhang ◽  
Ola Eriksson ◽  
Marita Wallhagen

The objective of this paper was to explore long-term costs for a single-family house in Sweden during its entire lifetime. In order to estimate the total costs, considering construction, replacement, operation, and end-of-life costs over the long term, the life cycle cost (LCC) method was applied. Different cost solutions were analysed including various economic parameters in a sensitivity analysis. Economic parameters used in the analysis include various nominal discount rates (7%, 5%, and 3%), an inflation rate of 2%, and energy escalation rates (2–6%). The study includes two lifespans (100 and 50 years). The discounting scheme was used in the calculations. Additionally, carbon-dioxide equivalent (CO2e) emissions were considered and systematically analysed with costs. Findings show that when the discount rate is decreased from 7% to 3%, the total costs are increased significantly, by 44% for a 100-year lifespan, while for a 50 years lifespan the total costs show a minor increase by 18%. The construction costs represent a major part of total LCC, with labor costs making up half of them. Considering costs and emissions together, a full correlation was not found, while a partial relationship was investigated. Results can be useful for decision-makers in the building sector.


2018 ◽  
Author(s):  
Amy Allen ◽  
Moncef Krarti

Distributed electric generation systems are increasingly considered to offset energy costs and carbon emissions of large building complexes. College campuses, with their physical compactness, and diversity in building loads, present a common application for distributed generation systems. This paper presents the analysis approach and the main results of a feasibility study of a distributed generation system to supply electric and thermal energy for a large university campus, incorporating energy efficiency measures, to reduce carbon emissions at minimal life cycle cost. The presented study uses a load profile developed based on calibrated detailed simulation energy models for prototypical campus buildings. The calibration analysis is carried out using measured energy consumption data, at the individual building level, and the whole-campus level. Several combinations of distributed generation options are evaluated, using an hourly optimization analysis tool, to meet the entire campus hourly electrical and thermal loads. Proposed efficiency measures and distributed generation options are evaluated using different indicators, including life cycle cost and carbon emissions. The analysis results indicate that implementing energy efficiency measures to reduce electrical and thermal loads before implementing distributed generation options is the most cost-effective approach to reducing the campus’s energy-related carbon emissions. The results of the study are summarized to guide college campuses and managers of other urban districts as they adapt to a changing energy landscape.


2013 ◽  
Vol 7 (4) ◽  
pp. 429-438 ◽  
Author(s):  
Weiqian Zhang ◽  
Shen Tan ◽  
Yizhong Lei ◽  
Shoubing Wang

2020 ◽  
Vol 5 (2) ◽  
pp. 202-207
Author(s):  
Eka Sudarmaji ◽  
Yuli Ardianto

This paper to set up an initial model in developing the model for Energy Saving Companies in Indonesia in assessing alternative financing for Energy Efficiency Saving in Indonesia. The reviewed for all the energy efficiency saving advantages cover the upfront investment costs are presented. The model is using the Analytic Hierarchy Process (AHP) and life cycle cost (LCC) analysis, with sensitivity analysis, is presented under possible a game-theory process. On some occasions, these alternative financing values are comparing to other similar investment returns as well as the risks


2019 ◽  
Vol 23 (3 Part B) ◽  
pp. 2071-2084 ◽  
Author(s):  
Norbert Harmathy ◽  
Danijela Urbancl ◽  
Darko Goricanec ◽  
Zoltán Magyar

The research elaborates various solutions using detailed economic evaluation and energy efficiency calculation and simulation technology for formulating applicable, energy and cost-efficient retrofit solutions of single-family residential buildings located in temperate climate areas. Primarily the annual energy demand for a reference existing single-family residential building was determined. The economic analysis was performed for six formulated refurbishment scenarios in order to determine which of the scenarios will demonstrate optimal performance both in energy and cost efficiency. A feasibility study was performed for the most efficient scenario, which included an economic evaluation of low temperature radiant heating systems were three energy suppliers (oil, natural gas and electricity for air to water heat pump) were compared. According to financial analyses the optimal scenario includes the replacement of windows, installation of 15 cm expanded polystyrene thermal insulation, low temperature radiant floor heating, with a payback period of ten years.


2019 ◽  
Author(s):  
Ario Bintang Koesalamwardi ◽  
Susy Fatena Rostiyanti

The continuous growth of population in sub-urban areas leads to increasing demand for mid-rise housing. Recent studies found that greenhouse gas emission in Indonesia continues to escalate at an alarming rate, and housing development is considered as one of the greenhouse gas contributors. Zero-Energy Residential Building, a highly energy efficient and low carbon housing design concept, is regarded as the answer for this environmental issue. Application of Zero-Energy Residential Building concept can reach almost zero sites electrical consumption and reduce greenhouse gas emission since this concept utilizes clean and renewable energy sources, e.g. solar cell, to generate electricity independently. However, this design concept has not been implemented widely since the utilization of solar panels, and other energy conservation components are still too expensive. This study is proposed to find out an optimum combination of design parameters that contribute to cost optimization housing design using sequential search algorithm. Comprehensive study literature and experiment using software are applied in this research. Hence, using the parameter combination in designing a mid-rise dense housing and Zero-Energy Building concept can generate optimum life cycle cost performance. As a result, the study concludes that the life cycle cost of optimized mid-rise Zero-Energy Building is better than the conventional mid-rise housing with annual electrical cost saving up to 98 percent.


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