首页 | 本学科首页   官方微博 | 高级检索  
     


The role of decentralized generation and storage technologies in future energy systems planning for a rural agglomeration in Switzerland
Affiliation:1. Centre for Applied Mathematics, MINES ParisTech, BP 207, 06902 – Sophia Antipolis, France;2. Schneider Electric, Strategy & Technology, 38TEC, 38050 – Grenoble cedex 9, France;1. Inria, France;2. Univ. Nice Sophia Antipolis, CNRS, I3S, UMR 7271, 06900 Sophia Antipolis, France;3. University College London, UK;1. École Polytechnique Fédérale de Lausanne, Industrial Process and Energy Systems Engineering, Bat. ME A2, Station 9, 1015 Lausanne (CH), Switzerland;2. École Polytechnique Fédérale de Lausanne, Energy Center, Bat. BAC, Station 5, 1015 Lausanne (CH), Switzerland;1. Chair of Energy Economics, Institute for Industrial Production (IIP), Karlsruhe Institute for Technology (KIT), Hertzstraße 16, 76187, Karlsruhe, Germany;2. DTU Management Engineering, Technical University of Denmark, Denmark
Abstract:This study presents a framework to quantitatively evaluate decentralized generation and storage technology (DGST) performance and policy impacts in a rural setting. The role of DGSTs in the future energy systems planning of a rural agglomeration in Switzerland is examined using a cost optimization modeling approach. Heat and electricity demand for major sectors are considered. Scenarios introduce DGSTs in a stepwise manner to measure incremental impacts on future capacity planning compared to a baseline scenario. Sub-scenarios also examine the impacts of carbon mitigation policies, and a sensitivity analysis is carried out for key energy carriers and conversion technologies. DGSTs enable a significant reduction in electricity grid usage for the community considered. Small hydro with a storage reservoir and photovoltaics enable the community to become largely self-sufficient with over 80% reductions in grid imports by 2050 compared to the baseline scenario. Storage enables maximum usage of the available hydro potential which also leads to network upgrade deferrals and a significant increase in photovoltaic installations. Investment decisions in small hydro are robust against cost variations, while heating technology investment decisions are sensitive to oil and grid electricity prices. Carbon pricing policies are found to be effective in mitigating local fossil fuel emissions.
Keywords:Decentralized energy  Distributed energy  Storage  Rural case study  Energy system model  Cost optimization model
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号