scholarly journals A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 1937 ◽  
Author(s):  
Kiki Ayu ◽  
Akilu Yunusa-Kaltungo
Keyword(s):  
Life Cycle ◽  
Power Systems ◽  
Asset Management ◽  
Life Cycle Cost ◽  
Cost Effective ◽  
Demand And Supply ◽  
Assessment Techniques ◽  
Systematic Framework ◽  
Total Life

The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valuable principles in practice. This study is unique because it provides a very systematic framework towards achieving cost-effective MAM through a case study. Additionally, the proposed framework is all-encompassing, as it also assesses the impacts of human unreliability through the application or proven risk assessment techniques. The proposed framework commences with the evaluation of existing decision support system at PLN through a MAM audit, whereby the performance of the West Java arm of PLN with regards to critical MAM elements was examined.

scholarly journals Uncertainty estimation in railway track life-cycle cost: a case study from Swedish National Rail Administration

2008 ◽  
Vol 223 (3) ◽  
pp. 285-293 ◽  
Author(s):  
A P Patra ◽  
P Söderholm ◽  
U Kumar
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Cost Effective ◽  
Railway Track ◽  
Statistical Characteristics ◽  
Maintenance Cost ◽  
Cost Models ◽  
Effective Decision ◽  
Effective Decision Support

Life-cycle cost (LCC) is used as a cost-effective decision support for maintenance of railway track infrastructure. However, a fair degree of uncertainty associated with the estimation of LCC is due to the statistical characteristics of reliability and maintainability parameters. This paper presents a methodology for estimation of uncertainty linked with LCC, by a combination of design of experiment and Monte Carlo simulation. The proposed methodology is illustrated by a case study of Banverket (Swedish National Rail Administration). The paper also includes developed maintenance cost models for track.

scholarly journals Development of an Energy Saving Strategy Model for Retrofitting Existing Buildings: A Korean Case Study

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1626 ◽  
Author(s):  
Kwonsik Song ◽  
Yonghan Ahn ◽  
Joseph Ahn ◽  
Nahyun Kwon
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Energy Saving ◽  
Life Cycle Cost ◽  
Cost Effective ◽  
Existing Buildings ◽  
Energy Retrofit ◽  
Strategy Model ◽  
Proposed Model

The building sector accounts for approximately 40% of national energy consumption, contributing to the environmental crisis of global warming. Using energy saving measures (e.g., improved thermal insulation, highly energy-efficient electrical and mechanical systems) provides opportunities to reduce energy consumption in existing buildings. Furthermore, if the life cycle cost (i.e., installation, operation and maintenance cost) of the measures is considered with their energy saving potential, it is possible to establish a cost-effective energy retrofit plan. Therefore, this research develops an energy saving strategy model considering its saving potential and life cycle cost of the measures for reducing energy consumption in existing buildings. To test the validity of the proposed model, a case study is carried out on an educational facility in South Korea, in response to its overconsumption of energy. The results demonstrate that in terms of energy saving and life cycle cost, the optimal energy retrofit plan is more cost-effective than the existing plan. Also, the break-even point for the optimal energy retrofit plan is within five years, and then revenue from energy saving continually occurs until 2052. For energy retrofit of existing buildings, using the proposed model would enable building owners to maximize energy savings while minimizing the life cycle cost.

Suitability of life cycle cost analysis (LCCA) as asset management tools for institutional buildings

2010 ◽  
Vol 8 (3) ◽  
pp. 162-178 ◽  
Author(s):  
Anurag Shankar Kshirsagar ◽  
Mohamed A. El‐Gafy ◽  
Tariq Sami Abdelhamid
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Asset Management ◽  
Life Cycle Cost ◽  
Management Tool ◽  
Maintenance Cost ◽  
Life Cycle Cost Analysis ◽  
Average Difference ◽  
Content Type

PurposeThe purpose of this paper is to evaluate the accuracy of life cycle cost analysis (LCCA) for institutional (higher education) buildings as a predictor of actual realised facility costs.Design/methodology/approachResearch methodology includes a comprehensive literature review to identify issues, best practices and implementation of LCCA in the construction industry. A case study was conducted to evaluate the accuracy of LCCA in predicting facility costs.FindingsNotwithstanding the benefits of LCCA, its adoption has been relatively slow for institutional buildings. The case study revealed that the average difference between estimated and actual construction cost is 37 per cent, whereas the average difference between the actual and estimated maintenance cost is 48 per cent. There is an average difference of 85 per cent in the actual and estimated administration cost.Research limitations/implicationsWhile limited to a few buildings, the case study underscores that LCCA methods should not be used for cost predictions of facility performance but rather for comparing total costs of alternative building features and systems, as well as building types. Sensitivity analysis also revealed that the selection of a discount rate would have less impact on recurring costs estimates compared to non‐recurring cost estimates. Facilities managers' involvement in LCCA technique developments and implementations will likely improve its performance during programming phases.Practical implicationsThe value of LCCA procedures is limited as a predictor of actual realised facility costs. Educational institutions can use the methods described in this paper to replicate the study and arrive at their own conclusions regarding the LCCA techniques and their potential use in programming stages.Originality/valueThe paper evaluated the accuracy of LCCA for institutional buildings and the potential of LCCA as an asset management tool for institutional buildings and provided suggestions to improve its adoption in facilities management.

scholarly journals Modelling Sustainable Industrial Symbiosis

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1172
Author(s):  
Hafiz Haq ◽  
Petri Välisuo ◽  
Seppo Niemi
Keyword(s):  
Life Cycle ◽  
Waste Management ◽  
Environmental Performance ◽  
Life Cycle Cost ◽  
Economic Assessment ◽  
Environmental Benefits ◽  
Industrial Symbiosis ◽  
Comprehensive Model ◽  
Network Connections

Industrial symbiosis networks conventionally provide economic and environmental benefits to participating industries. However, most studies have failed to quantify waste management solutions and identify network connections in addition to methodological variation of assessments. This study provides a comprehensive model to conduct sustainable study of industrial symbiosis, which includes identification of network connections, life cycle assessment of materials, economic assessment, and environmental performance using standard guidelines from the literature. Additionally, a case study of industrial symbiosis network from Sodankylä region of Finland is implemented. Results projected an estimated life cycle cost of €115.20 million. The symbiotic environment would save €6.42 million in waste management cost to the business participants in addition to the projected environmental impact of 0.95 million tonne of CO2, 339.80 tonne of CH4, and 18.20 tonne of N2O. The potential of further cost saving with presented optimal assessment in the current architecture is forecast at €0.63 million every year.

scholarly journals Sustainable Ventilation Strategies for a Medium-Sized Space with Regional Effect

2021 ◽  
Vol 13 (9) ◽  
pp. 4651
Author(s):  
Ming-Lun Alan Fong
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Co2 Emission ◽  
High Efficiency ◽  
Regional Climate ◽  
Cost Effective ◽  
Regional Effect ◽  
Climate Conditions ◽  
Ventilation Strategies ◽  
Set Up

The analysis of ventilation strategies is fundamentally affected by regional climate conditions and local cost databases, in terms of energy consumption, CO2 emission and cost-effective analysis. A systematic approach is covered in this paper to estimate a local economic and environmental impact on a medium-sized space located in two regions during supply-and-installation and operation phases. Three ventilation strategies, including mixing ventilation (MV), displacement ventilation (DV) and stratum ventilation (SV) were applied to medium-sized air-conditioned space with this approach. The trend of the results for three ventilation systems in the life cycle assessment (LCA) and life cycle cost (LCC) analysis is SV < DV < MV. The result of CO2 emission and regional LCC shows that SV is the lowest one in both regional studies. In comparison with the Hong Kong Special Administrative Region (HKSAR) during 20 Service years, the case analysis demonstrates that the percentage differences in LCC analysis of MV, DV & SV in Guangdong are less than 20.5%, 19.4% and 18.82% respectively. Their CO2 emission of MV, DV and SV in Guangdong are more than HKSAR in 10.69%, 11.22% and 12.05%, respectively. The present study could provide information about regional effects in the LCA and LCC analysis of three ventilation strategies emissions, and thereby help set up models for decision-making on high efficiency and cost-effective ventilation strategy plans.

Life cycle cost analysis: A case study of hydrogen energy application on the Orkney Islands

2019 ◽  
Vol 44 (19) ◽  
pp. 9517-9528 ◽  
Author(s):  
Guangling Zhao ◽  
Eva Ravn Nielsen ◽  
Enrique Troncoso ◽  
Kris Hyde ◽  
Jesús Simón Romeo ◽  
...  
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Life Cycle Cost ◽  
Hydrogen Energy ◽  
Life Cycle Cost Analysis ◽  
Orkney Islands ◽  
Energy Application

Integrated Training Solutions: An Effective Tool to Synchronize People and Maintenance (U.S. Navy LCAC Case Study)

2012 ◽  
Author(s):  
Maurice Hartey ◽  
Thomas Bodman ◽  
Arlene Korn
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Training Programs ◽  
Operating Time ◽  
Life Cycle Management ◽  
Cost Driver ◽  
Maintenance Costs ◽  
Knowledge And Skills ◽  
Long Run

Maintenance, especially in a Marine environment, is continuous and costly. Life Cycle Management of a Marine Gas Turbine system encompasses many costs, of which repair parts, labor and equipment downtime associated with failures and maintenance are a significant portion. In fact, people (labor) make up the largest component of overall maintenance costs. Investing in people the largest cost driver to life cycle cost has a direct return in the long run, in terms of maintenance effectiveness and efficiencies. Applying and reinforcing knowledge and skills in a maintenance environment translates to improved reliability outcomes, longer operating time, fewer parts needs, and ultimately costs savings. However, given today’s constrained fiscal environment, the value of spending money for training rather than buying more parts or applying more maintenance, may not appear obvious. Such thinking is short sighted, and ultimately leads to reduced reliability and increased maintenance in the long run. This paper will explore these areas, and recommend how training programs can be effective predictive, proactive and responsive.

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