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*Sensitivity analyses, economic analyses (using LCOE)  
*Sensitivity analyses, economic analyses (using LCOE)  
*Equations for power output for individual components in the system
*Equations for power output for individual components in the system
=== LCOE ===
----
====[https://pubs.rsc.org/en/content/articlelanding/2011/ee/c0ee00698j#!divAbstract Assumptions and the levelized cost of energy for photovoltaics]====
=====Abstract=====
*Generally, LCOE is treated as a definite number and the assumptions lying beneath that result are
rarely reported or even understood.
=====Introduction======
*Solar energy is the most abundant renewable energy sources, but still represents a small fraction of the overall worldwide electricity production. Mostly because cost of generation from PV is higher than grid connected (currently).
=====LCOE=====
*LCOE can be thought of as the price at which energy must be sold to break even over the lifetime of the technology.
=====Solar degradation rate=====
*The rate at which solar cell performance degrades may depend on the type of solar cell, quality of manufacturing, power production level, and local weather/climate.
*system degradation rate is generally treated as a single value in LCOE calculations despite the fact that it is known that even within a single PV installation individual panels will degrade with substantially different rates.
=====Tax Rates and Subsidies=====
*As with inputs such as solar insolation, taxes and incentives for promoting solar energy also vary widely by location. In our model we have used a consistent federal tax rate of 30% and state
tax rate of 8%.
=====Conclusion=====
*Monte Carlo Simulation used to create distributions


=== Micro-generation / Sustainability ===
=== Micro-generation / Sustainability ===

Revision as of 23:35, 11 February 2019

Introduction

This page is the literature review for the project of examining the economic viability of grid defection for small to medium size enterprises. This project builds off of many existing papers and other literature reviews that will be linked below. The other literature reviews have been updated as well, this page is more for the collection and keeping track of the work that has been done by Trevor Peffley during Spring 2019 semester.

Hybrid System


A combined optimization concept for the design and operation strategy of Hybrid-PV energy systems

  • Optimization strategy for hybrid systems
  • Equations for efficiency and other variables in the hybrid system
  • Sizing and control setting decisions

A review on photovoltaic/thermal hybrid solar technology

  • Photovoltaic Thermal Hybrid System
  • Equations for performance of Hybrid system
  • Focused alot on the possibilities of PV for thermal applications

Analysis of hybrid energy systems for application in southern Ghana

  • Hybrid System consisting of solar, wind, and diesel generators in Southern Ghana
  • Sensitivity analyses, economic analyses (using LCOE)
  • Equations for power output for individual components in the system

LCOE


Assumptions and the levelized cost of energy for photovoltaics

Abstract
  • Generally, LCOE is treated as a definite number and the assumptions lying beneath that result are

rarely reported or even understood.

Introduction=
  • Solar energy is the most abundant renewable energy sources, but still represents a small fraction of the overall worldwide electricity production. Mostly because cost of generation from PV is higher than grid connected (currently).
LCOE
  • LCOE can be thought of as the price at which energy must be sold to break even over the lifetime of the technology.
Solar degradation rate
  • The rate at which solar cell performance degrades may depend on the type of solar cell, quality of manufacturing, power production level, and local weather/climate.
  • system degradation rate is generally treated as a single value in LCOE calculations despite the fact that it is known that even within a single PV installation individual panels will degrade with substantially different rates.
Tax Rates and Subsidies
  • As with inputs such as solar insolation, taxes and incentives for promoting solar energy also vary widely by location. In our model we have used a consistent federal tax rate of 30% and state

tax rate of 8%.

Conclusion
  • Monte Carlo Simulation used to create distributions


Micro-generation / Sustainability


Assessing the impact of micro-generation technologies on local sustainability

  • The importance of micro-generation as an instrument to reducing carbon emissions in the building sector
  • Importance of balancing the needs of electricity and heat
  • Simulations of how micro-generation can effect energy production and carbon emissions in two target years (2020 and 2050)
  • The work addresses the effect of local energy policies for the achievement of challenging climate targets, focusing on the impact of micro-generation technologies on the energy systems.
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