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Abstract

The primary aim of this report is to produce hourly yield projections of electricity power for the proposed LFR plant at Collinsville, Queensland, Australia based on the environmental condition between 2007 and 2013. However, the techniques and methods used to overcome the inadequacies of the environmental, site-specific datasets provide a wider appeal for the report. The dataset inadequacies make accurate projections of future income streams and the subsequent securing of funding difficult Cebecauer et al. 2011; Lovegrove, Franklin and Elliston 2013; Stoffel et al. 2010.

The hourly power yield projections from this report are used in our subsequent report called ‘Energy economics and dispatch forecasting’ Bell, Wild and Foster 2014a, to calculate the lifetime revenue of the proposed plant and perform sensitivity analysis on gas prices.

This report compares the yield from the proposed Collinsville LFR plant using two different calculation methods. One method simply uses complete historical datasets from three nearby sites: MacKay, Rockhampton, and Townsville in Queensland. The other method uses datasets derived from a meteorological model developed from three sources:

- BoM’s hourly solar satellite data - BoM’s Collinsville Post Office weather station - Allen’s 2013 datasets

The overarching research question for the report is:

Can modelling the weather with limited datasets produce greater yield predictive power than using the historically more complete datasets from nearby sites?



Item Type: MPRA Paper -

Original Title: Collinsville solar thermal project: Yield forecasting – Final report-

Language: English-

Keywords: Climate change, Collinsville, electricity demand, Demand management, dispatch forecasting, Electricity, Energy Consumption, Energy economics, Future proofing, LFR, Linear Fresnel Reflector, mitigation, Australian national electricity market, NEM, power purchase agreements, PPA, Queensland, Australia, Renewable energy, solar energy, solar thermal-

Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property RightsQ - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - EnergyQ - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics-





Autor: Bell, William Paul

Fuente: https://mpra.ub.uni-muenchen.de/59647/







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