Applied Energy, Vol.88, No.2, 545-550, 2011
Regional renewable energy and resource planning
The exploitation of the energy potential in biomass in a specific geographical region is frequently constrained by high production costs and the amount of land required per unit of energy generated In addition the distributed nature of the biomass resource and its normally low energy density may result in large transportation costs Biomass also requires large land areas to collect and process the incoming solar radiation before the energy can be harvested Previously published works on regional energy clustering (REC) and the Regional Resources Management Composite Curve RRMCC (in this paper shortened to RMC) have been extended in this paper to tackle simultaneously the issues of the biomass supply chain transportation and land use The RMC is a tool for supporting decision making in regional resource management It provides a complete view of energy and land availability in a region displaying their trade-offs in a single plot The extension presented in this work has been developed in two steps The first step presents the Regional Energy Cascade Analysis which estimates the energy target within regional supply chains and provides the result for energy exchange flows between zones, the quantity of energy required to be imported/exported and the locations of the demands In the second step, the initial results are analysed against potential measures for improving the energy and land use targets by using the RMC and a set of rules for its manipulation The presented method provides the option to assess the priorities either to produce and sell the surplus energy on the fuel market or use the land for other purposes such as food production This extended approach is illustrated with a comprehensive case study demonstrating that with the RMC application it is possible to maximise the land use and to maximise the biofuel production for the requested energy demand (C) 2010 Elsevier Ltd All rights reserved
Keywords:Renewables;Regional energy clustering;Biomass supply chain;Regional Energy Cascade Analysis;Resource planning;Carbon footprint minimisation