Biogas Users’ Survey POA 2012/13

blog client


Alternative Energy Promotion Centre (AEPC), Ministry of Environment

blog project period

Project Period

February 2013 to August 2013

blog project area

Project Area

More than 34 districts in Nepal

Biogas technology is considered as a clean energy capable of offsetting greenhouse gas emissions. The installation of biogas plants in Nepal began with the initiation of Biogas Support Programme (BSP) in 1992. The programme was instrumental in establishing 268,399 (BSP, Nepal) biogas plants up to March 2013 benefitting more than a million people in the country.

Key activities

Establishment of Alternative Energy Promotion Centre (AEPC) to promote renewable energy technologies provided further impetus to the biogas programme. AEPC contributed the strengthening of management and subsidy administration systems to promote the biogas technology (AEPC, 2008).

AEPC through independent Consultant has been carrying out Biogas Users’ Survey (BUS) since 2003. Recently, the focus has been on the CDM projects that require additional information related to environmental indicators while continuing with the survey on areas identified in the previous years. SW Nepal carried out 2012/13 survey after its successful completion of BUS for the last two terms.

Services provided by SW Nepal

In undertaking the assignment, SW Nepal came up with suitable sampling approach & methodologies, designed survey questionnaires, provided orientation to the enumerators followed by pretesting of the questionnaires. The field survey was carried out with 400 households in 34 districts to assess the impacts of the biogas plants installed so far under the CDM Project Activity 1, 2, 3 & 4 focusing on the changes in energy consumption pattern, functional/operational status, environmental impact and livestock pattern in relation to forest and community benefits. Both qualitative and quantitative data were collected together with photo evidences. The quantitative data collected from the survey was entered and analysed using SPSS and MS Excel.