Abstract
The location of solar wood drying has not been selected in Iran yet. One of important applications of solar energy is to manufacture solar wood drying units. Effective indicators in location of solar wood drying were identified and a hierarchy was constructed based on five major groups of criteria. The weights of the indicators were then established by Analytical Hierarchy Process. The amounts of the indicators with regard to provinces were obtained from wood drying factories in public and private sectors. These weights were employed in TOPSIS to rank the provinces. Finally the potential provinces were identified according to the priorities obtained by this technique. The results showed that Qom Province, has the best priorities for establishment of solar wood drying.
Highlights
One of the possible and valuable applications of solar energy is in wood industry and manufacturing solar wood dryer
The present study aims to identify the effective criteria on best site selection to establish solar wood drying units in Iran via TOPSIS
For finding capable provinces of Iran to establish solar wood drying units 30 questionnaires were distributed among qualified people who were academic members (10%), Industries and mines organization; planning and budget organization (14%), members of furniture union (30%) and owners of industries (46%) and provinces which had no capability for establishing solar wood drying units were deleted
Summary
One of the possible and valuable applications of solar energy is in wood industry and manufacturing solar wood dryer. The solar drying kiln is the most cost effective way for the craftsman to get quality boards for wood working from green lumber. Management and Sustainability, 2 (2), 2017 energy of the sun It operates on the regular cycle of day and night to prevent wood stress that can ruin lumber in other systems (Wilson, 2006). The present study aims to identify the effective criteria on best site selection to establish solar wood drying units in Iran via TOPSIS. Studies on site selection for wood production by Michael et al (1998), identified a number of factors affecting the selection decision They clustered the criteria into cost, market distribution, lower production cost and non-tangible factors. The Ghazvin panel has the highest priority, and the moisture percentage criterion is very sensitive in comparison with other criteria (Azizi, 2012)
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