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FINANCIAL IMPLICATIONS (2) answer(s).
 
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ID:   127238


Financing energy SMEs in Ghana and Senegal: outcomes, barriers and prospects / Haselip, James; Desgain, Denis; Mackenzie, Gordon   Journal Article
Haselip, James Journal Article
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Publication 2014.
Summary/Abstract The article presents the findings of primary research carried out in Ghana and Senegal, which revisited the main assumptions behind the African Rural Energy Enterprise Development (AREED) initiative (2002-2012), and other donor-backed programmes, designed to promote small and medium-sized energy enterprises (energy SMEs). These assumptions were (1) that the lack of affordable local financing presented the most significant barrier to setting up and expanding energy SMEs, and (2) that these barriers would be overcome by a 'demonstration effect' whereby successful businesses, supported by donor-backed programmes, could in turn influence the commercial financial sector to invest in energy SMEs, thus triggering a virtuous circle of growth and profitability.
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2
ID:   127237


Measuring the financial impact of demand response for electrici / Feuerriegel, Stefan; Neumann, Dirk   Journal Article
Feuerriegel, Stefan Journal Article
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Publication 2014.
Summary/Abstract Due to the integration of intermittent resources of power generation such as wind and solar, the amount of supplied electricity will exhibit unprecedented fluctuations. Electricity retailers can partially meet the challenge of matching demand and volatile supply by shifting power demand according to the fluctuating supply side. The necessary technology infrastructure such as Advanced Metering Infrastructures for this so-called Demand Response (DR) has advanced. However, little is known about the economic dimension and further effort is strongly needed to realistically quantify the financial impact. To succeed in this goal, we derive an optimization problem that minimizes procurement costs of an electricity retailer in order to control Demand Response usage. The evaluation with historic data shows that cost volatility can be reduced by 7.74%; peak costs drop by 14.35%; and expenditures of retailers can be significantly decreased by 3.52%.
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