Techno-Economic Comparison of the Janicki Omni Processor to other faecal sludge/septage treatment technologies

Detailed project description:

Background:

Faecal sludge management has become a priority agenda for governments and investors, including the efficient design of treatment facilities of which only very few were up and running in developing countries. The Janicki Omni Processor offered a promising technology for treatment of and resource recovery from faecal sludge. In order to evaluate the performance of the Janicki Omni Processor, the Research Triangle Institute International conducted a techno-economic comparison, collecting data from existing operating faecal sludge / septage treatment facilities in Africa, India and South-East Asia to generate input for this analysis.

Objective:

The project aimed at:

• The identification of case studies in Africa that employ one or more of the treatment technologies. The case studies were comprised of both successfully and unsuccessfully operating facilities. Unsuccessfully operating facilities were then interviewed for the purpose of characterisation of the conditions under which certain technologies were not successful. The number of case studies was dependent on how many relevant examples existed.

• The collection of economic and performance data on the facilities via secondary literature review and interviews with operators, industry experts and other key stakeholders as well as existing knowledge and professional networks.

Services:

HYDROPHIL's scope of work included:

• To complete the data collection sheets for the case studies where information was possible to be obtained;

• To summarize each of the featured case studies including key information from the data collection sheet including plant overview (technology, operating status, operator & location, key technology challenges/reasons for success), key characteristics (footprint, no of employees, electricity and water use, treatment efficiency, etc), and economic data (capital costs, key revenue drivers);