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World Journal of Electrical and Electronic Engineering
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  5. Volume 1, Number 1, 2021
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  7. Table 1

Complex Energy Conversion System Analysis: An Overview

Table 1.

Indices to evaluate designs of power systems with renewableenergies.
Indicator Description Ref
Indices for cost evaluation
 (NPC: Net present cost) It reflects the energy cost of a particular system and includes the initial cost of all system components, the cost of any component replacement over the life of the system, and the cost of maintenance. [30]
 (TAC: Total annualized cost) Represents the cost per year of capital plus the annual cost of facility maintenance and repairs. It can be calculated by dividing the net present cost by the present value annuity factor. [27]
 (LCC: Life cycle cost) It is the sum of all recurring and non-recurring costs that take place during the life cycle of a system. Includes purchase price, installation, operating costs, maintenance and residual value at the end of its useful life. [29,30]
 (COE/LCE: Levelized cost of energy) It reflects the cost of energy as a ratio of the annualized cost of the system over the total energy delivered. [27,29,30]
Indices for reliability evaluation  
LPSP: Loss of power supply probability It is the relationship between the deficit of power supplied over the electricity demand in a certain period of time. [27,29,30],
LLP: Load loss probability It is defined as the period of failure over the total working time of the system. [30]
UL: Unmet  load It is the load that cannot be served over the total time of a period. [29,30]
SPL: System performance level It is defined as the probability of unsatisfied load. [27,30]
  LOLH: Loss of load hours It is the sum of the expected loss in hours in a given period (Generally one year), the time in which the system cannot supply enough power to supply the load is quantified, excluding the effects of maintenance and damage to components. [30]
LOLR: Loss of load risk It is defined as the probability that a failure is generated in the system to cover the daily electricity demand due to deficiencies in renewable energy sources. [30]
LA: Level of autonomy It deals with two parameters: the total number of hours in which the loss of load occurs and the total number of hours of operation. If the autonomy increases, the system will be more reliable, but at the same time the cost increases. [30]
Other indices    
Carbon emissions stream It indicates the level of carbon emissions from a spatial point of view, it is related to the amount of energy generated or consumed from thermal sources. [36]
CVaR: Conditional value-at-risk It is a measure of the investment risk, it represents the expected value of the scenarios that are below a certain percentage of deficit. [31,37]