Objective
- To understand the nature of individual load profiles
- To calculate load profiles for different consumer types
- To develop improved models for predicting load from weather variables
- To compare numerical techniques for decomposing load curves
- To measure the power factors on domestic appliances and a small sample of houses
Tansformer load data were obtained, with relevant weather data. Power factors (PFs) were
measured on domestic appliances, and on four houses.
The optimum averaging period for temperature/load correlations was 7 days. Loads were shown
to be a non-linear (tanh) function of temperature. Winter evening loads correlated better with solar
radiation than temperature. Many domestic appliance PFs were poor. Whole-house PFs varied
between 0.6 and 1, averaging around 0.85.
Reliable customer profiles are needed for DSM programmes. Domestic profiles based on local household characteristics are needed. Technology changes suggest further reductions in domestic PFs. More work is needed to gather data, and consider the economic and environmental implications of poor domestic PFs for the Electricity
Industry, and options for remedial action.
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
CH1 6ES Chester
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.