Spatial planning framework for biomass resources for power production at regional level: A case study for Fujian Province, China

Effective spatial planning is crucial for cost-effectively and sustainably developing biomass energy resources due to the diffuse nature of biomass and high transportation cost. Using the spatial analysis technology, economic models and scenario analysis, this paper presents a spatial planning framework to identify the appropriate developing areas of biomass energy at regional level. The methodology is applied in a case study of Fujian Province, China. Firstly, spatial distribution of two kinds of biomass resources and the technical potential, i.e. the amount of power generation from agricultural and forestry residues in each supply area, were estimated by incorporating the spatial data and the statistical data. The results indicate that total technical potential of agricultural and forestry residues is estimated at 25.13TWhy−1, equivalent to approximately 19% of total electricity consumption in Fujian in 2010. In the second step, the economic analysis assesses the cost of biomass generation for each supply area on the basis of current market conditions. Ranking of the supply areas is then performed by using the priority development index (PDI), which can measure the priority of each biomass supply area by combining several influencing indicators. Finally, the selection of supply areas for power plants can be carried out according to its order in PDI until the total planed capacity in the region is met. The priority of the subregions and the corresponding cost of biomass generation for different planning scenarios can be explicitly visualized. The methodology can be applied to a wide area and can support the local authorities to define and implement a strategy for future biomass energy development.

[1]  Bernd Möller,et al.  Analysing transport costs of Danish forest wood chip resources by means of continuous cost surfaces , 2007 .

[2]  Jagtar Singh,et al.  Energy potential through agricultural biomass using geographical information system—A case study of Punjab , 2007 .

[3]  D. Zhuang,et al.  Bioenergy potential from crop residues in China: Availability and distribution , 2012 .

[4]  Murray Moo-Young,et al.  Towards sustainable production of clean energy carriers from biomass resources , 2012 .

[5]  Norberto Fueyo,et al.  The potential for electricity generation from crop and forestry residues in Spain , 2010 .

[6]  Shen Lei,et al.  Quantitive Appraisal of Biomass Energy and Its Geographical Distribution in China , 2007 .

[7]  Xun Shi,et al.  Spatial distribution of agricultural residue from rice for potential biofuel production in China. , 2008 .

[8]  S. Cowlin,et al.  GIS Method for Developing Wind Supply Curves , 2008 .

[9]  A. J. Toft,et al.  A techno-economic comparison of power production by biomass fast pyrolysis with gasification and combustion , 2002 .

[10]  P. Krukanont,et al.  Geographical distribution of biomass and potential sites of rubber wood fired power plants in Southern Thailand , 2004 .

[11]  A. E. Baltas,et al.  Special framework for the spatial planning & the sustainable development of renewable energy sources , 2012 .

[12]  D. Baruah,et al.  Crop residue biomass for decentralized electrical power generation in rural areas (part 1): Investigation of spatial availability , 2011 .

[13]  Xia Li,et al.  Using spatial information technologies to select sites for biomass power plants : A case study in Guangdong Province, China , 2008 .

[14]  D. Voivontas,et al.  Aessessment of biomass potential for power production: a GIS based method , 2001 .

[15]  C. Field,et al.  Biomass energy: the scale of the potential resource. , 2008, Trends in ecology & evolution.

[16]  Maosheng Zhao,et al.  Improvements of the MODIS terrestrial gross and net primary production global data set , 2005 .

[17]  Y. Scholz,et al.  The application of simulated NPP data in improving the assessment of the spatial distribution of biomass in Europe , 2009 .

[18]  Maosheng Zhao,et al.  Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses , 2006 .

[19]  Zhang Peidong,et al.  Quantitative appraisal and potential analysis for primary biomass resources for energy utilization in China , 2010 .

[20]  Shenghui Cui,et al.  Potential for forest vegetation carbon storage in Fujian Province, China, determined from forest inventories , 2011, Plant and Soil.

[21]  Zhao Lixin,et al.  Analysis and evaluation on energy utilization of main crop straw resources in China. , 2008 .

[22]  L. Lu,et al.  Large-scale land cover mapping with the integration of multi-source information based on the Dempster–Shafer theory , 2012, Int. J. Geogr. Inf. Sci..

[23]  Warren B. Cohen,et al.  Assessment of forest biomass for use as energy. GIS-based analysis of geographical availability and locations of wood-fired power plants in Portugal , 2010 .

[24]  Norberto Fueyo,et al.  The use of cost-generation curves for the analysis of wind electricity costs in Spain , 2011 .

[25]  Yoshiki Yamagata,et al.  A spatial evaluation of forest biomass usage using GIS , 2009 .

[26]  Peter C. Flynn,et al.  The impact of feedstock cost on technology selection and optimum size. , 2007 .

[27]  R. Lal World crop residues production and implications of its use as a biofuel. , 2005, Environment international.

[28]  Jian Liu,et al.  Path towards achieving of China's 2020 carbon emission reduction target—A discussion of low-carbon energy policies at province level , 2011 .