Novel Grand Composite Curve for Regional Sustainable Energy
Regional Resource Management Composite Curve
Hon Loong Lam*, Petar Varbanov, Jiří Klemeš
EC MC Chair (EXC) INEMAGLOW
Research Institute of Chemical Technology and Process Engineering, FIT
University of Pannonia, Egyetem u. 10, H-8200 Veszprém, Hungary.
The distributed nature of biomass resources and their low energy density may require large transportation capacity from the supply chain. This is further complicated by the high moisture content of some biomass types. The land use requirement for growing energy crops is in competition with the food production. To tackle these problems simultaneously, a two-level approach to biomass supply chain synthesis based on a novel Regional Energy Clustering (REC) approach has been proposed. There are two main parts of the regional resources management. The first consists of forming clusters of zones for biomass management. The second part builds a Resources Management Composite Curve (RRMCC). Generating a biomass transfer network between the various zones in a given region is an optimisation task determining the links and the biomass flows from the available energy surplus zones to the deficit zones. This is followed by grouping the zones into clusters using the combination of links and the overall energy imbalance as an objective function to be minimised. The information about the clusters is further plotted in the RRMCC with the cumulative land use on the y-axis and cumulative energy surplus-deficit as x-axis. This graphical representation shows the magnitude of the imbalance within each cluster and provides a tool for analysing the trade-off between land use and biomass generation, thus aiding regional planners in analysing the optimal land use on the one hand and the regional energy management surpluses and deficits on the other.
PRES' 09, Rome, Italy, 2009