scholarly journals A life-cycle based decision-making framework for electricity generation system planning

2021 ◽  
Author(s):  
Steven James Norrie
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Electricity Generation ◽  
Multiple Objectives ◽  
Generation System ◽  
Demand Reduction ◽  
Decision Making Framework

This thesis proposed a decision-making framework to consider multiple objectives in long-term planning situations, and asserts that planning for power generation systems should consider relevant environmental and/or social objectives at the same decision level as traditional economic or reliability objectives. The framework was applied to the case study of long-term planning for Ontario's power generation system. The framework integrates life-cycle based information and decision-maker preferences toward multiple objectives in the context of sustainable development. Six decision criteria evaluated as measures of the objectives include life-cycle cost of electricity, a system flexibility indicator, demand reduction, land use requirements, greenhouse gas emissions, and air emissions. Stakeholder values were derived through questionnaires. Three hypothetical electricity generation scenarios were compared to test the decision-making framework. The results of the application indicated that the scenario which included aggressive renewable energy development and demand reduction was favourable, even given the tradeoffs of reliability and costs.

scholarly journals A life-cycle based decision-making framework for electricity generation system planning

2021 ◽  
Author(s):  
Steven James Norrie
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Electricity Generation ◽  
Multiple Objectives ◽  
Generation System ◽  
Demand Reduction ◽  
Decision Making Framework

This thesis proposed a decision-making framework to consider multiple objectives in long-term planning situations, and asserts that planning for power generation systems should consider relevant environmental and/or social objectives at the same decision level as traditional economic or reliability objectives. The framework was applied to the case study of long-term planning for Ontario's power generation system. The framework integrates life-cycle based information and decision-maker preferences toward multiple objectives in the context of sustainable development. Six decision criteria evaluated as measures of the objectives include life-cycle cost of electricity, a system flexibility indicator, demand reduction, land use requirements, greenhouse gas emissions, and air emissions. Stakeholder values were derived through questionnaires. Three hypothetical electricity generation scenarios were compared to test the decision-making framework. The results of the application indicated that the scenario which included aggressive renewable energy development and demand reduction was favourable, even given the tradeoffs of reliability and costs.

Czech Armed Forces and Some Aspects of Helicopters Acquisition

2017 ◽  
Vol 23 (2) ◽  
pp. 107-112
Author(s):  
Antonín Novotný ◽  
Dalibor Procházka
Keyword(s):  
Decision Making ◽  
Czech Republic ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Armed Forces ◽  
Data Availability ◽  
The Czech Republic ◽  
Operating Modes ◽  
Partial Models

Abstract After several years of discussion and decision-making approaches Army of the Czech Republic to implement the purchase of multipurpose helicopters to replace the previously used, morally and physically obsolete attack helicopters Mi-24 / 34. The process of acquisition consists of many stages; it is not a simple matter and has its pitfalls. It is also a big, expensive and long-term acquisition in which the poor implementation can cause problems that are likely to affect the Army of the Czech Republic and its Air Force for many years. One of the decision-making process inputs is an estimate of Life Cycle Cost (LCC). For the estimation, many methods can be used. The paper deals with application of system dynamics to LCC estimation process. Partial models of utilization and support Life Cycle phases are presented, which can be further developed according to consecutive data availability. An influence of different helicopter operating modes on a Life Cycle Cost is demonstrated by means of simulation in Vensim application. The models, after verification and validation, can be used to support the acquisition process.

scholarly journals A Techno-Economic Computational Tool for Power Generation Project Assessments and Life Cycle Risk Management

1997 ◽  
Author(s):  
Stéphane Gayraud ◽  
Riti Singh
Keyword(s):  
Power Generation ◽  
Risk Management ◽  
Life Cycle ◽  
Risk Analysis ◽  
Gas Turbines ◽  
Life Cycle Cost ◽  
The Monte Carlo Method ◽  
Analysis Technique ◽  
Industrial Gas Turbines

The growing desire for sponsors of power generation projects to share risk with the lenders has promoted the use of computational tools, simulating and evaluating from a techno-economic viewpoint long-term, high-risk projects. Such models need to include reliable engine diagnostics, life-cycle costing and risk analysis technique. This paper presents a Decision Support System (DSS) for the assessment of power generation projects using industrial gas turbines. The software, programmed in Visual Basic in Excel, runs the object-oriented software Pythia which has been developed by the Department of Propulsion, Power and Automotive Engineering at Cranfield University and which can perform gas turbine performance calculations, including off-design conditions, with or without degradation effects providing thus very reliable engine diagnostics. Moreover, a life cycle cost, assessed using manufacturer methodology for instance, can be integrated into the economic model. The degree of uncertainty relating to technical and economic factors is assessed using a normal distribution and the level of risk can then be evaluated using a risk analysis technique based upon the Monte Carlo Method. The DSS therefore provides charts and result tables to support the decision making, allowing the user to achieve a good level of confidence using new techniques of risk management.

PADDY RESIDUE AS FEEDSTOCK IN ELECTRICITY GENERATION: REDEMPTION OF LIFE CYCLE EMISSIONS AND COST ANALYSIS

2018 ◽  
Vol 13 (Number 1) ◽  
pp. 55-67
Author(s):  
Shafini M. Shafie ◽  
Zakirah Othman ◽  
N Hami
Keyword(s):  
Power Generation ◽  
Life Cycle ◽  
Cost Analysis ◽  
Positive Feedback ◽  
Energy Supply ◽  
Electricity Generation ◽  
Economic Sector ◽  
Ghg Emission ◽  
Coal Fuel ◽  
Biomass Resources

Malaysia has an abundance of biomass resources that can be utilised for power generation. One of them is paddy residue. Paddy residue creates ahuge potential in the power generation sector. The consumption of paddy residue can help Malaysia become less dependent on conventional sources of energy, mitigate greenhouse gas(GHG) emission, offer positive feedback in the economic sector, and at the same time, provide thebest solution for waste management activities. The forecast datafor 20 years on electricity generation wasused to calculate the GHG emission and its saving when paddy residue is used for electricity generation. The government’scost saving was also identified when paddy residue substituted coal fuel in electricity generation.This paper can provide forecast information so that Malaysia is able to move forward to apply paddy residue as feedstock in energy supply. Hopefully, the data achieved can encourage stakeholder bodies in the implementation of paddy residue inelectricity generation since there is apositive impact towardscost and emission saving.

scholarly journals Life Cycle Cost of Electricity Production: A Comparative Study of Coal-Fired, Biomass, and Wind Power in China

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3463
Author(s):  
Xueliang Yuan ◽  
Leping Chen ◽  
Xuerou Sheng ◽  
Mengyue Liu ◽  
Yue Xu ◽  
...  
Keyword(s):  
Power Generation ◽  
Life Cycle ◽  
Wind Power ◽  
Life Cycle Cost ◽  
Raw Material ◽  
Electricity Production ◽  
Maintenance Cost ◽  
External Cost ◽  
Levelized Cost Of Electricity ◽  
Cost Of Electricity

Economic cost is decisive for the development of different power generation. Life cycle cost (LCC) is a useful tool in calculating the cost at all life stages of electricity generation. This study improves the levelized cost of electricity (LCOE) model as the LCC calculation methods from three aspects, including considering the quantification of external cost, expanding the compositions of internal cost, and discounting power generation. The improved LCOE model is applied to three representative kinds of power generation, namely, coal-fired, biomass, and wind power in China, in the base year 2015. The external cost is quantified based on the ReCiPe model and an economic value conversion factor system. Results show that the internal cost of coal-fired, biomass, and wind power are 0.049, 0.098, and 0.081 USD/kWh, separately. With the quantification of external cost, the LCCs of the three are 0.275, 0.249, and 0.081 USD/kWh, respectively. Sensitivity analysis is conducted on the discount rate and five cost factors, namely, the capital cost, raw material cost, operational and maintenance cost (O&M cost), other annual costs, and external costs. The results provide a quantitative reference for decision makings of electricity production and consumption.

scholarly journals Life Cycle Cost Analysis of a Single-Family House in Sweden

Buildings ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 215
Author(s):  
Bojana Petrović ◽  
Xingxing Zhang ◽  
Ola Eriksson ◽  
Marita Wallhagen
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Single Family ◽  
Labor Costs ◽  
Construction Costs ◽  
Economic Parameters ◽  
A Minor ◽  
Family House ◽  
Replacement Operation

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.

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