UKERC EDC: Publications

DE_DE2003_11.pdf

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Abstract:

The Micro DE project was a scoping and feasibility study to identify opportunities for micro-generation storage and control technology development at an individual dwelling level in the UK. The study investigated the potential for reducing energy consumption and CO₂ emissions through Distributed Energy (DE) technologies. This was achieved through the development of a segmented model of the UK housing stock supplemented with detailed, real-time supply and demand energy-usage gathered from field trials of micro distributed generation and storage technology in conjunction with building control systems. The outputs of this project now feed into the Smart Systems and Heat programme.

This deliverable is number 2 of 7 in Work Package 3. It summarises the findings of two rounds of interviews carried out on participants of the 18 home field trial carried out as part of WorkPackage 2. First round interviews were carried out prior to the 2010/11 heating season, second round interviews after the heating season. The findings from these interview have been included in report D3.7 : Final project report together with outputs from other deliverables within Work Package 3

This report is one of seven reports presenting the findings and recommendations from the ETI Micro Distributed Energy project, a scoping and feasibility study to determine the opportunity for Distributed Energy (DE) technology development. The report deals specifically with the potential contribution of building Energy Services Management (ESM) systems in the residential setting.

The report outlines the findings from a series of interviews conducted with the occupants of eighteen field trial homes. Each field trial home had at least one of the following technologies installed:

Photovoltaic (PV) panels,
Solar Thermal Hot Water (STHW) systems,
Biomass boilers,
Air Source Heat Pumps or Ground Source Heat Pumps (GSHP).

The findings indicate that the key investment drivers for early adopters of Micro DE technologies were:

saving money on energy bills,
reducing their carbon footprint and impact on climate change,
reducing their reliance on oil and gas (concerns over rising prices and future supplies).

The findings suggest that financial incentives such as feed in tariffs and the Green Deal are likely to be important future drivers. Financial incentives are likely to make PV panels in particular more attractive to consumers.

Publication Year:

2011

Publisher:

ETI

DOI:

https://doi.org/10.5286/ukerc.edc.000288

Author(s):

Gemmell, A.

Energy Category

Class Name:

Subclass Name:

Category Name:

Energy Efficiency

Residential and commercial

Language:

English

File Type:

application/pdf

File Size:

779062 B

Rights:

Energy Technologies Institute Open Licence for Materials

Rights Overview:

The Energy Technologies Institute is making this document available to use under the Energy Technologies Institute Open Licence for Materials. Please refer to the Energy Technologies Institute website for the terms and conditions of this licence. The Information is licensed "as is" and the Energy Technologies Institute excludes all representations, warranties, obligations and liabilities in relation to the Information to the maximum extent permitted by law. The Energy Technologies Institute is not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. This exclusion of liability includes, but is not limited to, any direct, indirect, special, incidental, consequential, punitive, or exemplary damages in each case such as loss of revenue, data, anticipated profits, and lost business. The Energy Technologies Institute does not guarantee the continued supply of the Information. Notwithstanding any statement to the contrary contained on the face of this document, the Energy Technologies Institute confirms that it has the right to publish this document.

Further information:

N/A

Region:

United Kingdom

Publication Type:

Technical Report

Subject:

Social Factors

Theme(s):

Distributed Energy

Related Dataset(s):

No related datasets